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    Digital Twin-driven Smart Human-machine Collaboration: Theory, Enabling Technologies and Applications
    YANG Geng, ZHOU Huiying, WANG Baicun
    Journal of Mechanical Engineering    2022, 58 (18): 279-291.   DOI: 10.3901/JME.2022.18.279
    Abstract858)      PDF(pc) (859KB)(2622)       Save
    With the evolution of human-cyber-physical systems (HCPS), the relationships between human and machine evolved through different phases: from human-machine coexistence and human-machine interaction to human-machine cooperation and human-machine collaboration. Meanwhile, emerging technologies (e.g., digital twin) empower the industry and society with increased features of automation and intelligence, enhance the capabilities of perception, analyzing, control, and decision making. Those developments provide human-machine collaboration the foundation for paradigm shifting toward human-centric smart manufacturing. In this work, the concept of digital twin-driven smart human-machine collaboration is proposed based on the HCPS theory. By analyzing the evolutions of human-machine relationship and related definitions on human-machine collaboration, the connotation of smart human-machine collaboration is elaborated. The framework of digital twin-driven smart human-machine collaboration is proposed to address the current challenges in human-machine collaboration, from perspectives of physical entities, digital models, connection and interaction, and smart decision for collaborative service. The enabling technologies for smart human-machine collaboration are discussed from the aspects of sensing and integration, computation and analysis, control and execution, e.g., wearable technology, flexible sensing, artificial intelligence, exoskeleton. Furthermore, typical applications of smart human-machine collaboration are presented, including production, architecture construction, healthcare, and ergonomics. It is expected this work can provide a reference for facilitating paradigm shift of human-machine collaboration and the sustainable development of human-machine collaboration.
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    High Performance Manufacturing
    GUO Dongming
    Journal of Mechanical Engineering    2022, 58 (21): 225-242.   DOI: 10.3901/JME.2022.21.225
    Abstract1542)      PDF(pc) (2509KB)(1778)       Save
    With the increasing expansion of application areas and improvement of in-service performance, there is an urgent need for high-end equipment in the fields such as aerospace and aeronautics, energy and power, information and electronics. It is extremely difficult to manufacture these high-end equipment, not only due to their multiple and higher requirements such as loading, transmission, conduction, energy conversion and stealth, but also due to their complex structures, difficult-to-cut materials, and high requirements in surface integrity and/or precision. High performance manufacturing (HPM) is an inevitable choice to address the above mentioned challenges and break the bottleneck of high-end equipment manufacturing. Starting with the characteristics of parts/components/devices, manufacturing requirements and the state-of-the-art manufacturing technologies, this paper clarifies the connotation of HPM, the key issues to be addressed, and the quantitative correlation between design and manufacturing. Subsequently, the general framework and the generalized model of HPM is proposed, and the fundamental elements and criteria are laid out and discussed. Finally, the realization solutions and the key technologies are highlighted with two case studies. It is pointed out that HPM is not only a kind of precision manufacturing and computational manufacturing with the correlation modeling of multi-parameter in design, manufacturing, and service as the core, but also performance-geometry-integrated manufacturing aiming at the precise guarantee of ultimate performance.
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    Research on Product Function Expansion Driven by Text Mining and Patent Data Collaboration
    LIN Wenguang, LIU Xiaodong, XIAO Renbin
    Journal of Mechanical Engineering    2024, 60 (13): 56-70.   DOI: 10.3901/JME.2024.13.056
    Abstract2469)      PDF(pc) (940KB)(1701)       Save
    Function expansion is an important way to achieve innovative product design, and data-drivenis also the key supporting technology for product function expansion. In this context, a product function expansion method driven by text mining and patent data collaboration is proposed and expected to provide a quantitative research method for changing and upgrading existing products. Firstly, the function-structure mapping information of the target product are analyzed, then a partial hypergraph model based on existing network models is proposed to calculate the weight of product's components. Secondly, four extracting product functional and structural knowledge, text data of us patent is retrieved and obtained, then part of speech tagging (POS tagging) and dependency parsing (DP) are used to construct mining rules to extract subject-action-object (SAO) in sentences. Thirdly, patent text is used as the corpus and BERT(Bidirectional encoder representations from transformers) model is utilized to train word vectors as a tool for finding similar structures and functions, then four function expansion strategies combined with collaborative recommendationalgorithms are proposed as follows: other function expansion, similarity function expansion, similar component’s functions expansion, and similar components’ functions expansion based on the target product components; finally, according to the requirements of enterprise, the case of showerhead is applied to verifies thefeasibility and effectiveness of the method.
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    Research Status and Development Trend of Wall Climbing Robot
    MA Jiliang, PENG Jun, GUO Yanjie, CHEN Xuefeng
    Journal of Mechanical Engineering    2023, 59 (5): 11-28.   DOI: 10.3901/JME.2023.05.011
    Abstract1385)      PDF(pc) (840KB)(1612)       Save
    Wall climbing robot is an electromechanical system that can move on the surface of objects and complete operations with multiple degrees of freedom. It is especially suitable for performing special tasks, so it has a good application prospect and broad market demand. According to different adhesion mechanisms, wall climbing robots can be divided into negative pressure adsorption, electrostatic adhesion, gecko-like dry adhesion, bionic wet adhesion and so on. The research status of wall climbing robots at home and abroad is summarized from three aspects: adhesion mechanism, application scope and adhesion characteristics. In order to analyze and compare the load performance of different types of wall climbing robots, an analysis method of robot overall adhesion performance based on specific adhesion energy density is proposed, and a new material and structure design idea is proposed to solve the contradiction between large load and small volume. The application prospect of micro wall climbing robot in aero-engine fault detection is analyzed, and its development trends in the fields of intelligent materials, new driving, miniaturization and collaboration of adhesion mechanism are summarized.
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    Review of Technology, Application Status and Development Trend in Multi-arm Cooperative Robots
    WU Qilin, ZHAO Han, CHEN Xiaofei, ZHAO Yating
    Journal of Mechanical Engineering    2023, 59 (15): 1-16.   DOI: 10.3901/JME.2023.15.001
    Abstract1569)      PDF(pc) (1421KB)(1583)       Save
    As labour shortages and labour costs continue to rise, more and more robots are needed in growing numbers. In many application scenarios, the tasks are complex and varied, the application environment and the conditions are so varied that single-arm collaborative robots are no longer meet the requirements and multi-arm collaborative robotic systems have emerged as an important area for future development. Because of the short time frame for development, a great deal of work is still needed by developers. This research summarizes the current state of technology and applications of multi-arm collaborative robots in a more systematic way and reviews several influential aspects of multi-arm collaborative robots such as applications, mechanism and lightweight, dynamics and control, cooperative technology, and artificial intelligence. On this basis, six directions for future research and development of multi-armed collaborative robots are proposed, based on new developments in artificial intelligence and control, such as the development of application scenarios towards deep human-robot collaboration, more emphasis on high speed, high precision and high work-to-weight ratio in structures and components, and more emphasis on smooth design in dynamics. The collaborative robot system will also develop in a hierarchical and diversified manner, with control methods tending towards adaptive and flexible control and autonomous decision-making, and interaction tending towards multi-dimensional safety protection and natural interaction with multi-information fusion.
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    Review on Techniques for Power Battery State of Health Estimation Driven by Big Data Methods
    WANG Zhenpo, WANG Qiushi, LIU Peng, ZHANG Zhaosheng
    Journal of Mechanical Engineering    2023, 59 (2): 151-168.   DOI: 10.3901/JME.2023.02.151
    Abstract1303)      PDF(pc) (920KB)(1571)       Save
    State of health estimation of power batteries is one of the key algorithms of the battery management systems, which is of great significance for improving power battery energy utilization efficiency, reducing thermal runaway risk, as well as power battery maintenance and residual value evaluation. Comparative analysis has been done on experimental-based, model-based and data-driven methods, and data-driven methods are elaborated from three aspects:dataset construction, health indicators extraction, model establishment. The big data collection methods and data preprocessing methods are summarized. The health indicators extraction methods are compared by their pros and cons and applicable scenarios. The basic principles of different health state estimation models are discussed. The conclusion that model fusion is the direction of future technology development is proposed. Finally, facing the future application scenarios of big data in electric vehicles, the current issue and prospective are depicted.
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    Research on Large Model for General Prognostics and Health Management of Machinery
    LEI Yaguo, LI Xiwei, LI Xiang, LI Naipeng, YANG Bin
    Journal of Mechanical Engineering    2025, 61 (6): 1-13.   DOI: 10.3901/JME.2025.06.001
    Abstract1269)      PDF(pc) (920KB)(1529)       Save
    In recent years, various deep learning-based health management models for mechanical equipment have made significant progress. However, existing models tend to be smaller in scale and are typically designed to handle data from specific frequencies, speeds, or modes, focusing on particular components such as gears and bearings to perform tasks like monitoring, diagnosis, and prediction. These models struggle to adapt to new scenarios and lack the capability for continuous evolution. With the increasing precision and complexity of high-end equipment, there is a growing demand for highly general, scalable, and evolvable "one-stop" health management services. Inspired by the trend of generalization in large language models like ChatGPT, which excel in handling diverse data, tasks, and scenarios, a large model for general prognostics and health management of machinery is proposed. First, multimodal data is resampled in the angular domain and segmented to token sequence. Then, the data is input into a Transformer-based information integration foundational model to extract health and degradation information into specific tokens. Finally, these specific tokens are used to perform downstream tasks such as monitoring, diagnosis, and prediction. The proposed large model's baseline performance, multitask synergy, and scalability were verified using fault and long-term degradation datasets. The results show that the proposed large model can simultaneously perform condition monitoring, fault diagnosis, and remaining useful life prediction for multiple objects like bearings and gears. Additionally, the diagnostic and predictive multitasks can effectively collaborate, mutually enhancing performance, and achieving better results compared to single-task models. In few-shot learning and continual learning scenarios, the large model can be rapidly deployed and continuously evolved. Therefore, the proposed large model features high generality, scalability, and sustainability, and is expected to provide universal "one-stop" health management services for mechanical equipment.
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    Research Progress and Industrialization Development Trend of Chinese Service Robot
    TAO Yong, LIU Haitao, WANG Tianmiao, HAN Dongming, ZHAO Gang
    Journal of Mechanical Engineering    2022, 58 (18): 56-74.   DOI: 10.3901/JME.2022.18.056
    Abstract1210)      PDF(pc) (2236KB)(1457)       Save
    With the rapid development of service robots, the robots are used in various fields involving economic and social development, such as medical rehabilitation, education and entertainment, domestic services, emergency and disaster relief, public services and commercial applications. Countries around the world attach great importance to the development of service robots and give them key support as a strategic emerging industry, and service robots are great strategic importance. Firstly, the industrial chain of service robots and relevant international organizations are introduced. The development strategies and plans of service robots proposed by developed countries such as the United States, the European Union, Japan and South Korea are expounded. The driving forces and characteristics of the rapid development of service robots are proposed. The leading service robot research institutions and related companies at home and abroad are presented. The development scale of foreign and domestic service robot industry are proposed. Then, based on the introduction of the development status of service robots at home and abroad, it focuses on the status and progress of medical and health robots, home service robots, public service robots, high-end bionic robots, automated warehousing and logistics robots and special robots. The core technologies such as environment perception and motion control of robots, core components, human-computer interaction, and operating systems are proposed. The cross-integration development of service robots and cutting-edge technologies such as AI, big data, and cloud computing are introduced. Finally, some suggestions of the service robot industry development are proposed. Based on the introduction of the progress and cutting-edge trends of service robot technology, it can provide relevant references and suggestions for the development of service robot technology and industrial development.
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    Simulation Data-driven Enhanced Unsupervised Domain Adaptation for Bearing Fault Diagnosis
    SHAO Haidong, XIAO Yiming, YAN Shen
    Journal of Mechanical Engineering    2023, 59 (3): 76-85.   DOI: 10.3901/JME.2023.03.076
    Abstract1003)      PDF(pc) (946KB)(1408)       Save
    The existing unsupervised cross-domain fault diagnosis studies of bearing usually utilize sufficient experimental data collected from test rigs as the source domains, the marginal distribution and conditional distribution alignments between domains are difficult to be considered simultaneously, and all source-domain samples are endowed with the same importance in the process of domain adaptation. Aiming at the above challenges, a new method of simulation data-driven enhanced unsupervised domain adaptation for bearing fault diagnosis is proposed. The bearing fault data with rich fault information and sufficient label data obtained by numerical simulation is used to construct the source domain, thus reducing the dependence on the resources of test rigs. An enhanced loss function embedded with the joint max mean discrepancy is designed to achieve simultaneous alignments of marginal and conditional distributions between different domains in unsupervised scenarios. A weight allocation mechanism for source domain samples is developed to measure the similarity between each individual source domain sample and target domain samples through domain prediction error and to adaptively allocate their weights to suppress negative transfer. Two sets of experimental data collected from test rigs are used as the target domains to validate the effectiveness of the proposed method. The results show that the proposed method can fully adapt the deep feature distributions of simulation domain and experimental domain to improve cross-domain fault diagnosis accuracy in unsupervised scenarios.
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    Connotation, Architecture and Enabling Technology of Industrial 5.0
    ZHUANG Cunbo, LIU Jianhua, ZHANG Lei
    Journal of Mechanical Engineering    2022, 58 (18): 75-87.   DOI: 10.3901/JME.2022.18.075
    Abstract763)      PDF(pc) (492KB)(1254)       Save
    Industry 4.0 reinforces the highly transformative impact brought by digitization, data-driven and interconnected industries. However, it does not emphasize the importance of research and innovation in supporting industry to provide long-term services to mankind all over the world, nor does it solve the problems of how to use technological innovation to promote cooperation and “win-win” interaction between industry and society. Industry 5.0 systematically proposes to take industrial workers as the core of industrial production, so as to achieve social goals beyond employment and growth and steadily provide prosperity. Nevertheless, as a rethinking of the future industry development, Industrial 5.0 is still in its infancy with respect to research, and there are only few unsystematic research results presented. By reviewing the background of emergence of Industrial 5.0 and the history of the concept evolution, the paper analyzes the differences between Industrial 5.0 and Industrial 4.0, and summarizes four main characteristics of Industrial 5.0, including human-centric, sustainability, resilience and wisdom. Furthermore, we systematically explain the connotation of Industrial 5.0, and discuss the relationship between the concepts of industry 5.0 and society 5.0. Finally, we construct the three-dimensional architecture of Industrial 5.0, propose the enabling technologies of Industrial 5.0, and investigate the implementation approach of Industrial 5.0.
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    Development and Challenge of Forming Manufacturing Technologies for Aerospace Large-Scale Thin-Wall Axisymmetric Curved-Surface Component
    ZHANG Hongrui, ZHAN Mei, ZHENG Zebang, LI Rui
    Journal of Mechanical Engineering    2022, 58 (20): 166-185.   DOI: 10.3901/JME.2022.20.166
    Abstract1068)      PDF(pc) (1145KB)(1189)       Save
    Thin-walled curved-surface components are a kind of components that are widely used for high-end carrier equipment in the aerospace industry. With the development toward large-sized, light-weight, high-performance, long-life and high-reliability of new generation aerospace vehicles, strategic missiles, and ships, it is urgent to develop manufacturing technologies for large-sized thin-walled curved-surface components. This kind of components is difficult to manufacture because of their thin thickness, large size, curvature changes, extreme size combination, light-weight and high-strength materials, and high-performance requirements. In this paper, the manufacturing technologies of aerospace large-sized thin-walled axisymmetric curved-surface components are reviewed with respect to their development history and classification. Based on the classification, the corresponding applications and latest research progress of these manufacturing technologies are reviewed. Furthermore, the process characteristics, component performances, and the development potentials of these manufacturing technologies are compared. Finally, the development trend and technical challenges of the manufacturing technology of aerospace large-sized thin-walled axisymmetric curved-surface components are summarized.
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    Overview of Key Technologies for Measurement Robots in Intelligent Manufacturing
    WANG Yaonan, XIE He, DENG Jingdan, MAO Jianxu, LI Wenlong, ZHANG Hui
    Journal of Mechanical Engineering    2024, 60 (16): 1-18.   DOI: 10.3901/JME.2024.16.001
    Abstract1360)      PDF(pc) (852KB)(1186)       Save
    Complex curved components are the core elements of high-end equipment in fields such as aerospace and marine vessels, and their measurement accuracy plays an irreplaceable role in ensuring the quality of high-end equipment manufacturing. To overcome the limitations of traditional manual and specialized manufacturing methods, vision-guided robotic systems provide a new approach for the high-end and intelligent processing of complex curved components, gradually becoming a research hot spot in the field of robotic intelligent manufacturing. Focusing on the 3D measurement methods of robots, this review first summarizes the characteristics of measurement schemes in different manufacturing scenarios according to sensor types and application scenarios, so as to help researchers quickly and comprehensively understand this field. Then, according to the measurement process, key core technologies are categorized as system calibration, measurement planning, point cloud fusion, feature recognition, etc. The major research achievements in various categories over the past decade are reviewed, and the existing research limitations are analyzed. Finally, the technical challenges faced by robotic measurement are summarized, and future development trends are discussed from the perspectives of application scenarios, measurement requirements, measurement methods, etc.
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    Federated Transfer Learning Method for Privacy-preserving Collaborative Intelligent Machinery Fault Diagnostics
    LI Xiang, FU Chunlin, LEI Yaguo, LI Naipeng, YANG Bin
    Journal of Mechanical Engineering    2023, 59 (6): 1-9.   DOI: 10.3901/JME.2023.06.001
    Abstract1127)      PDF(pc) (16132KB)(1178)       Save
    Big data-driven intelligent machinery fault diagnosis methods have achieved great success in the recent years. The high diagnosis accuracies mostly rely on large amounts of labeled condition monitoring data and centralized model training. However, in the real industries, it is usually difficult for a single user to collect sufficient labeled data, that makes the intelligent diagnosis methods less applicable in practice. It is noted that different industrial users may have similar machines and condition monitoring data. Therefore, collaborative model development is promising to address the data scarcity problem. However, data privacy is very important and different users are generally not comfortable sharing private data with others, that results in a challenging collaborative diagnosis problem. A privacy-preserving collaborative intelligent machine fault diagnosis method FedTL is proposed. The private data are used for training without leaving local storage. The high-level representations of shared data are communicated among different users. A soft label-based information transmission method is proposed. Through capturing the relationship between different fault modes of shared data, the diagnosis knowledge of private data can be well delivered. The federated transfer learning framework is formulated, considering different working conditions of different users. The experiments in bearing condition monitoring cases validate the proposed method. The results show the proposed method is a promising tool for privacy-preserving collaborative machine fault diagnosis.
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    Overview on Chassis Coordinated Control for Full X-by-wire Distributed Drive Electric Vehicles
    ZHANG Lei, XU Tongliang, LI Siyang, CHENG Shuhui, DING Xiaolin, WANG Zhenpo, SUN Fengchun
    Journal of Mechanical Engineering    2023, 59 (20): 261-280.   DOI: 10.3901/JME.2023.20.261
    Abstract619)      PDF(pc) (882KB)(1131)       Save
    Chassis coordinated control for full X-by-wire distributed-drive electric vehicles can effectively enhance both safety and ride comfort during vehicular operation. Taking vehicle safety and ride comfort as objectives, this paper provides a comprehensive review of key technologies and challenges in the chassis coordinated control for full X-by-wire distributed-drive electric vehicles, encompassing handling stability control, fault-tolerant control, vehicle attitude control, and ride comfort control. For handling stability control, traction control and anti-lock braking methods are introduced. A systematic analysis is conducted to evaluate the advantages and disadvantages of using one single or multiple X-by-wire subsystems in lateral and roll vehicle stability control. Regarding fault-tolerance control, the paper outlines fault-tolerant control strategies that use direct yaw-moment control to complement steer-by-wire systems. The paper summarizes methods for pitch attitude control and ride comfort control using one single or multiple X-by-wire subsystems. It emphasizes the importance of simultaneously addressing vehicle attitude and ride comfort to enhance control adaptability in complex operating conditions. Finally, the paper provides insights into future directions in chassis coordinated control.
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    Review of Variable Stiffness Mechanisms in Minimally Invasive Surgical Manipulators
    SHANG Zufeng, MA Jiayao, WANG Shuxin
    Journal of Mechanical Engineering    2022, 58 (21): 1-15.   DOI: 10.3901/JME.2022.21.001
    Abstract1081)      PDF(pc) (1547KB)(1129)       Save
    Taking one or several small cuts on skin or a body orifice as the path, minimally invasive surgery can significantly reduce the tissue damage, thus representing the future trend of the surgery. To reach a lesion far away from the path, slender and flexible device should be adopted for its adaptability to the complicated body-cavity condition. A surgical manipulator with variable stiffness can fulfill stiffening-softening function of the flexible device, and it thus becomes the key to ensure a safe human-machine interaction, a good precision, and an enough force output of manipulation during the surgery. Focused on the field of minimally invasive surgical manipulator, the current variable stiffness mechanisms are reviewed and classified as those based on jamming, thermally responsive material, shape-locking, antagonistic actuation force, reconfigurable cantilever, and combinations of them. Under the consideration of the application requirements, performances of manipulators in stiffening capability, response time, and space consumption, are firstly compared and discussed under different variable stiffness mechanisms. Next, potential variable stiffness mechanisms that could be applied in manipulators are reviewed, and the prospects and challenges are also analyzed. Finally, the field is summarized and forecasted. It is pointed out that developing new variable-stiffness material and carrying out integrated design of structures and functions based on biomimetic concepts are the main future directions.
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    Digital Engineering and Its Ten Application Outlooks
    TAO Fei, ZHANG Chenyuan, LIU Weiran, ZHANG He, MA Xin, GAO Pengfei, ZHANG Jiankang
    Journal of Mechanical Engineering    2023, 59 (13): 193-215.   DOI: 10.3901/JME.2023.13.193
    Abstract874)      PDF(pc) (2114KB)(1123)       Save
    Relying on physical methods for planning, research, design, manufacturing, test and use of products or systems is usually constrained by time, space, cost and safety, leading to problems such as long development cycle, high operating costs, delayed response, low intelligence, and difficult system optimization. In order to address the above problems, the theory of digital engineering is introduced, which strives to fully utilize both the 'digital power' and 'intelligence power' to enhance the 'capability'. In this paper, firstly a five-phase maturity model of digital engineering is proposed to better understand, further develop and fully utilize of digital engineering based on the analysis of the current digitalization and intelligentization practices and its future development trends. Then, the 'digital power', 'intelligence power' and 'capability' of digital engineering are defined, and the demands and challenges of digital engineering in the era of New IT are expounded in detail. Furthermore, the architecture of digital engineering is designed, which consists of one 'intelligence center' and four threads (physical thread, model thread, data thread and service thread), and eight key supporting technologies are also put forward. Finally, the application outlooks of digital engineering in ten fields are discussed, including digital nuclear power plant, digital aero-engine, digital satellite internet, digital ocean and marine equipment, digital wind tunnel, digital battlefield, digital city, digital computer numerical control machine, digital energy and digital vehicles, expecting to provide references for the scientific organization, intelligent control and system optimization of complex products and systems throughout lifecycle, as well as the construction of digital earth and the development of digital economy.
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    Life Cycle Assessment of Lithium-ion Batteries for Carbon-peaking and Carbon-neutrality: Framework, Methods, and Progress
    LAI Xin, CHEN Quan-wei, GU Huang-hui, HAN Xue-bing, ZHENG Yue-jiu
    Journal of Mechanical Engineering    2022, 58 (22): 3-18.   DOI: 10.3901/JME.2022.22.003
    Abstract880)      PDF(pc) (52919KB)(1096)       Save
    Driven by the Carbon-peaking and Carbon-neutrality strategic goals, lithium-ion batteries usher in significant development opportunities. Meanwhile, it has become a research hotspot for tracking the life cycle carbon footprint and environmental indicators assessment and faced severe challenges in carbon emission calculation and reduction measures. First, the basic framework, methods,evaluation indicators, and other common problems of the life cycle assessment are briefly summarized. Then, a whole life cycle closed-loop assessment route from "cradle" to "cradle" is proposed for the sustainable development of lithium-ion batteries. The research progress of carbon emission calculation at all stages of the battery life cycle(including battery production, battery use,echelon utilization, battery recycling, and remanufacture) is summarized in detail, the potential research hotspots and difficulties are generalized, and a comprehensive evaluation framework of "Technology-Ecology-Value" is proposed. The opportunities and challenges in lithium-ion batteries' life cycle value assessment are discussed, and the resource and supply chain risks are analyzed.Finally, six potential carbon reduction measures for the whole life cycle of lithium-ion batteries are summarized and prospected, such as energy decarbonization, system innovation, intelligent manufacturing, optimization management, material recovery, and carbon capture.
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    Development Status and Trends of the Intelligence of Hydraulic Components and Systems
    JIAO Zongxia, WU Shuai, LI Yang, ZHANG Chao, JIN Hongtao, SHU Sheng, WEI Renlei, LI Renjie, WANG Yi, ZHANG Haoyuan, ZHANG Yadong
    Journal of Mechanical Engineering    2023, 59 (20): 357-384.   DOI: 10.3901/JME.2023.20.357
    Abstract459)      PDF(pc) (1297KB)(1088)       Save
    The Fourth Industrial Revolution, driven by information technology, is propelling industrial transformation and ushering in the era of intelligence. Due to the widespread application of hydraulic systems as core power and control components in advanced manufacturing, aerospace, marine and other major equipment, the intelligence of industrial equipment inevitably requires the realization of intelligent hydraulic components and systems. So, in recent years, intelligent hydraulic system has been a research hotspot in the hydraulic field, driving the hydraulic field into the intelligent era and bringing new vitality to the research of hydraulic systems. However, it has also encountered new challenges, including inconsistent understanding of intelligent hydraulic systems, lack of comprehensive research on systems, and fragmented breakthroughs. The connotation and evolution process of intelligent hydraulic systems are analyzed, the architecture of intelligent hydraulic systems is elaborated, the three major characteristics of intelligent perception, intelligent control, and intelligent maintenance of intelligent hydraulic systems are summarized, and the research progress at home and abroad from above three aspects is summarized, revealing the problems and challenges of intelligent hydraulic systems; Finally, the research path and development trends to address the challenges are discussed.
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    Review on Fast Numerical Simulation Method for Plastic Forming
    ZHAN Mei, DONG Yunda, ZHAI Zhuolei, FAN Xiaoguang, SHI Zhipeng, AN Qiang
    Journal of Mechanical Engineering    2022, 58 (16): 2-20.   DOI: 10.3901/JME.2022.16.002
    Abstract879)      PDF(pc) (743KB)(1076)       Save
    Accurate and efficient numerical prediction model is the kernel about the digitization and intellectualization of plastic forming. To study advanced plastic forming of large-scale complex components in real time, there exists three fast simulation method: massive model simplifying or dimensionality reducing, solver algorithm modifying and high-performance parallel computing. And these methods are introduced in terms of reducing model scale, accelerating or avoiding time-consuming steps and improving device efficiency. The two major approaches about model scale reducing are introduced: mesh density dynamic controlling technique and shell element model. Subsequently, a review of some innovative numerical algorithms for improving calculation process is provided, such as machine learning, material point method and virtual element method. Then, the research progress of parallel techniques on homogeneous and heterogeneous computing platforms is discussed. Finally, the application prospect and development of these numerical simulation methods for plastic forming are also presented.
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    Design and Experiment of Intelligent Picking Robot for Famous Tea
    ZHOU Yujie, WU Qiang, HE Leiying, ZHAO Runmao, JIA Jiangming, CHEN Jianneng, WU Chuanyu
    Journal of Mechanical Engineering    2022, 58 (19): 12-23.   DOI: 10.3901/JME.2022.19.012
    Abstract735)      PDF(pc) (873KB)(1059)       Save
    In view of the current situation of labor force shortage in famous tea picking, this paper designs a robot for famous tea picking, which is suitable for natural environment. The robot is composed of picking module, 3P-Delta manipulator, vision system and controlling system. The robot captures the image of tea canopy using RGB-D camera, and then calculates the picking points by deep learning model and the skeleton method. Based on the growth characteristics of famous tea, the picking trajectory model of the manipulator was established. The Bézier curve was used to optimize the picking path of tea, which effectively alleviated the acceleration mutation caused by the rapid motion of the manipulator and improved the smoothness of the picking movement. The dynamic model of the manipulator was established by using the principle of virtual work, and the picking control algorithm of the manipulator is designed based sliding surface variable structure control. The exponential reaching law in the control algorithm is optimized, so that the chattering phenomenon in the sliding surface control is effectively suppressed in the process of rapid reaching. The field test results show that the picking robot can realize the picking of famous tea in the natural environment, and the picking rate and integrity rate are 75.53% and 54.68%, respectively. The average picking speed of the robot is 0.451/s.
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    Deep Reinforcement Learning-based Integrated Control of Hybrid Electric Vehicles Driven by High Definition Map in Cloud Control System
    TANG Xiaolin, CHEN Jiaxin, GAO Bolin, YANG Kai, HU Xiaosong, LI Keqiang
    Journal of Mechanical Engineering    2022, 58 (24): 163-177.   DOI: 10.3901/JME.2022.24.163
    Abstract2086)      PDF(pc) (1390KB)(1018)       Save
    In the context of the development of intelligence, connectivity, and new energy, the automotive industry combines computer, information communication, artificial intelligence(AI) to achieve integrated development. Based on the new generation of information and communication technology——cloud control system(CCS) of intelligent and connected vehicles(ICVs), the cloud-level automatic driving of new energy vehicles is realized driven by connected data, which provides innovative planning and control ideas for vehicle driving and power systems. Firstly, based on the resource platform of CCS, the latitude, longitude, altitude, and weather of the target road are obtained, and a high definition(HD) path model including slope, curvature, and steering angle is established. Secondly, a deep reinforcement learning(DRL)-based integrated control method for hybrid electric vehicle(HEV) drive by the HD model is proposed. By adopting two DRL algorithms, the speed and steering of the vehicle and the engine and transmission in the powertrain are controlled, and the synchronous learning of four control strategies is realized. Finally, processor-in-the-loop(PIL) tests are performed by using the high-performance edge computing device NVIDIA Jetson AGX Xavier. The results show that under a variable space including 14 states and 4 actions, the DRL -based integrated control strategy realizes the precise control of the speed and steering of the vehicle layer under the high-speed driving cycle of 172 km, and achieves a fuel consumption of 5.53L/100km. Meanwhile, it only consumes 104.14s in the PIL test, which verifies the optimization and real-time performance of the learning-based multi-objective integrated control strategy.
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    Survey of Automated Flexible Docking Assembly Technology for Large-scale Components
    ZHAO Huan, GE Dongsheng, LUO Laizhen, YIN Yecan, DING Han
    Journal of Mechanical Engineering    2023, 59 (14): 277-297.   DOI: 10.3901/JME.2023.14.277
    Abstract633)      PDF(pc) (1201KB)(986)       Save
    The docking assembly of large components is an important part of the final assembly of large aerospace vehicles. With the increasing demand for rapid response to space missions, such as launching emergency satellites and commercial communication satellites, it is urgent to improve the rapid assembly and launch capability of large aircraft such as launch vehicles. In order to improve the reliability and efficiency of the docking assembly, the assembly mode is moving from the original manual mode to the direction of automation, digitization, and intelligence. The three key technologies involved in the automatic flexible docking assembly of large components are reviewed. The principle, characteristics and application of the pose adjustment mechanism, digital measurement technology, planning and control technology of large-scale component docking assembly are summarized in detail. The future research directions of automatic flexible docking assembly technology for large-scale component are also discussed.
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    Kinematic Performance Analysis of Spatial 2-DOF Redundantly Actuated Parallel Manipulator
    WANG Shijie, FENG Wei, LI Tiejun, ZHANG Jianjun, YANG Dong, LIU Jinyue
    Journal of Mechanical Engineering    2022, 58 (23): 18-27.   DOI: 10.3901/JME.2022.23.018
    Abstract714)      PDF(pc) (92688KB)(952)       Save
    Aiming at the demand of high-performance manipulators in the field of construction robots, a spatial 2 rotational DOF 3-UPS&U redundantly actuated parallel manipulator is proposed. Based on the screw theory and the modified G-K formula, the overall degree of freedom of the manipulator is analyzed, and the kinematic characteristics of the universal joint rotation around the proper-constraint branch chain are determined. The mapping relationship between the actuated parameters and the end-point parameters is established, and the workspace is obtained. Through independent modeling of the actuated legs and the passive leg, the complete generalized Jacobian matrix of the parallel manipulator is constructed, and the dimensionless Jacobian matrix of the linear velocity of the end center point and the actuator joints is further obtained. The dexterity, load-carrying capacity and stiffness performance evaluation indexes of the manipulator under a specific workspace are established. The final results show that when the 3-UPS&U redundantly actuated parallel manipulator swings up and down at a high frequency, it has better comprehensive kinematic performance in the direction of the corresponding axis of the constraint branch, and can greatly reduce the amplitude of performance degradation.
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    Status and Progress of Intelligent Products Interaction Design
    LUO Shijian, GONG Hebo, LIN Wei
    Journal of Mechanical Engineering    2023, 59 (11): 1-15.   DOI: 10.3901/JME.2023.11.001
    Abstract694)      PDF(pc) (420KB)(947)       Save
    The vigorous development of artificial intelligence and internet of things technology supports the advancement of intelligent products and accelerates the transformation of product design. Technology can make human life better by being transformed into intelligent products through design. From industrial design, the related concepts of intelligent products and intelligent product interaction design are discussed through the research of relevant literature at home and abroad. In terms of research methods of intelligent product interaction design, three levels of models of the ontology, behavior, and value of intelligent product interaction design are proposed. This paper discusses the research content and architecture, key technologies, and existing problems of five aspects: design big data, demand-driven, and knowledge-driven design, product design scheme generation and derivation, product design standard generation, and product design scheme evaluation generation. The process and method of interaction design of intelligent products are summarized. Finally, according to the integrated development of interaction design and artificial intelligence technology, some focused research issues on intelligent products interaction design are formulated, and the future development trend is outlined.
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    Fundamentals and Prospects of Additive Friction Stir Deposition:Opportunities and Challenges
    SHEN Zhikang, LI Dongxiao, SUN Zhonggang, MA Liangchao, LIU Xiaochao, TIAN Yanhong, GUO Wei, HOU Wentao, PIAO Zhongyu, YANG Xinqi, LI Wenya
    Journal of Mechanical Engineering    2025, 61 (2): 56-85.   DOI: 10.3901/JME.2025.02.056
    Abstract768)      PDF(pc) (1718KB)(931)       Save
    Integrative design and integrated manufacturing of major equipment’s’ large critical structure such as aeronautics, astronautics and weapons provide guarantees of lightweight manufacturing and service performance. As a transformative technology can achieve innovative structure, additive manufacturing has received extensive attention and being applied, nevertheless, additive manufacturing of lightweight and high-strength metals such as high strength aluminium alloy and magnesium alloy faces many challenges. Additive friction stir deposition provides a new thought and method for such kind metals, since its process involves strong plasticity and non-melting, which further facilitates the progress of solid-state additive manufacturing and equipment. Dominant advantages of additive friction stir deposition have aroused worldwide attention and investigation; However, this technology’s basic theory and deposited materials’ microstructure evolution and performance need to be clarified. Research progress in additive friction stir deposition was systematically summarized, domestic and foreign research achievements such as heat production mechanism, material flow behavior, design of printing tool, processing parameters, microstructure evolution and performance of additive friction stir deposition were comprehensively reviewed. Finally, future opportunities and development trends of additive friction stir deposition were pointed out.
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    Research Progress of Sensory Feedback for Intelligent Upper-limb Prosthesis
    HU Yawen, JIANG Li, YANG Bin
    Journal of Mechanical Engineering    2023, 59 (5): 1-10.   DOI: 10.3901/JME.2023.05.001
    Abstract929)      PDF(pc) (677KB)(927)       Save
    In recent years, the bidirectional bio-machine interface with the ability of neural control and sensory feedback has become the development trends of intelligent upper limb prosthesis. Most of the research focuses on the mechanism, sensor design and neural control of upper limb prosthesis, while less research on sensory feedback. The lack of reliable sensory feedback reduces the operational performance and limits the practical application of prosthetics. Firstly, the development status of bidirectional bio-machine interface of intelligent prosthesis is briefly summarized. Sensory feedback methods based on transcutaneous electrical nerve stimulation, vibration stimulation and pressure stimulation are introduced in detail. Sensory feedback strategies including sensory substitution, modality matched feedback and somatotopic matched feedback are also discussed. Based on the analysis, the naturalness of upper limb prosthetic sensory feedback and the multimodality of interactive information are prospected.
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    Advances and Perspectives on Modeling Methods for Collision Safety of Lithium-ion Batteries
    LI Honggang, ZHANG Chao, CAO Junchao, ZHOU Dian, ZHANG Meihe
    Journal of Mechanical Engineering    2022, 58 (24): 121-144.   DOI: 10.3901/JME.2022.24.121
    Abstract427)      PDF(pc) (1789KB)(895)       Save
    Lithium-ion batteries (LIBs) are widely used as the main power source for new energy equipment such as electric vehicles and electrical aircraft with their excellent electrochemical energy storage and cycling performance. However, safety issues such as structural failure, internal short circuit and thermal runaway caused by external impact, collision and other loads have severely restricted the development and further application of LIBs. The structural characteristics and mechanical abuse test methods of LIBs is summarized in detail, and multi-field coupling failure mechanism of LIBs from mechanical failure to internal short circuit and thermal runaway under mechanical abuse is expounded. On this basis, the research progress of domestic and foreign scholars in the field of modeling methods for collision safety of lithium-ion batteries in recent years is reviewed systematically. And the research status of modeling methods from aspects of materials constitutive modeling, mechanical modeling and simulation of battery cell, and multi-field coupling modeling methods is summarized. The characteristics, applicability and limitation of various modeling methods are sorted out, and the key issues such as modeling method, simulation accuracy and efficiency are discussed. Finally, the bottleneck problems and further development trend in modeling methods for collision safety of lithium-ion batteries are discussed and prospected. A systematic reference and guidance for the study of crash failure mechanism, modeling and simulation, and safety design of lithium-ion batteries can be provided.
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    Experimental Research on Wheel-rail Force of EMU under Different Line Conditions
    ZHANG Yizhe, ZHANG Zhichao, DU Ruitao, ZU Honglin, CHU Gaofeng
    Journal of Mechanical Engineering    2023, 59 (10): 323-332.   DOI: 10.3901/JME.2023.10.323
    Abstract295)      PDF(pc) (17736KB)(879)       Save
    The wheel-rail force is the most important index for considering the safety and stability of high-speed electric multiple units(EMU). With the continuous increase of speed, the dynamic performance and reliability of the running part of high-speed trains are increasing. It is becoming more and more important to carry out research on wheel-rail load characteristics, distribution rules and safety under high-speed conditions. In this paper, continuous force-measuring wheelset is used to measure the wheel-rail forces of a high-speed train under typical railway conditions and operating speeds. The analysis have obtained the wheel-rail forces characteristics under straight lines, curves, and various types of turnouts. Research has found that the frequency response range of wheel-rail force on ballasted tracks is partly larger than that on ballastless tracks. The wheel-rail force samples are generally distributed normally, and the dispersion degree of the vertical force distribution is positively correlated with the speed. Under the curve working condition, the mean value of the horizontal and vertical force distribution depends on the under-elevation of the curve. The maximum derailment coefficient and rate of wheel load reduction both appear when passing the turnout. The derailment coefficients of No. 18 and No. 42 turnouts are 0.49 and 0.37 respectively, and rate of wheel load of the two models are 0.20 and 0.23 respectively, which meet the safety requirements. The above conclusions provide references for wheel-rail dynamic test; it also gives suggestions for high-speed railway design.
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    Analysis and Verification on Working Principle of a New Deployable Mobile Robot Based on Rigid Origami
    YANG Fufu, LU Shuailong, SONG Yaqing, ZHANG Jun, YAO Ligang
    Journal of Mechanical Engineering    2022, 58 (23): 75-87.   DOI: 10.3901/JME.2022.23.075
    Abstract712)      PDF(pc) (1206KB)(855)       Save
    Aiming at the problem that the body of the existing wheeled robot is relatively fixed and cannot adapt to the complex environment, a new type of deployable mobile robot mechanism is proposed by introducing a rigid origami mechanism, which is with less degrees of freedom and large folding ratio, into efficient wheeled motion, and improves the passing performance in complex environments. The working principle analysis of this mechanism is carried out, and the relationship between the three-dimensional sizes of the robot and driving angles is obtained. By establishing a simplified model of the robot, its dynamics is carried out. Then, the change of the driving torque of different positions with the driving angle is obtained, which is used to optimize the driving arrangement scheme. Through a proposed algorithm, the compatible movement between the main body folding and the wheel motion is realized, so that the robot can move efficiently in the complex environment. Finally, a physical prototype and the control system are built, based on which the movement and folding performance are verified through two experiments. The results show that the robot could fit complex paths flexibly by switching its postures, and has the advantages of large deployment and folding ratio. Therefore, the robot owns the potential applications in some engineering fields such as detection, detection and rescue.
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    Journal of Mechanical Engineering    2023, 59 (18): 1-2.   DOI: 10.3901/JME.2023.18.001
    Abstract966)      PDF(pc) (132KB)(854)       Save
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    Research Progress on Positioning Error Compensation Technology of Industrial Robot
    LIU Wei, LIU Shun, DENG Zhaohui, GE Jimin
    Journal of Mechanical Engineering    2023, 59 (17): 1-16.   DOI: 10.3901/JME.2023.17.001
    Abstract852)      PDF(pc) (803KB)(827)       Save
    Industrial robots play an important role in promoting the development of industrial automation, flexibility and intelligence. The positioning error of robot is the key factor that hinders its application in the manufacturing field. The positioning accuracy of robot determines the quality and accuracy of the products. Error compensation technology is of great significance to improve the positioning accuracy of robots. Based on the clue of positioning error measurement-prediction-compensation, the research progress of open-loop measurement and closed-loop measurement technology, model-based error prediction and non-model-based error prediction methods, online compensation and offline compensation technology is summarized in detail. Finally, the development trends are prospected in order to provide reference for the research of positioning error compensation of industrial robot.
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    Researches on Automated Placement Technologies and Equipment for Carbon Fiber Reinforced Composites:A State-of-the-art Review
    KE Yinglin, QU Weiwei, LI Jiangxiong, CHENG Liang, KE Zhenzheng, WU Jianbo, ZHU Jianbin, YANG Di, YANG Qian, CAI Zhijia, WANG Qing, ZHU Weidong, DONG Huiyue, XU Qiang, YU Cijun, WANG Qingtao, NI Zuoxi
    Journal of Mechanical Engineering    2023, 59 (20): 401-435.   DOI: 10.3901/JME.2023.20.401
    Abstract402)      PDF(pc) (2278KB)(817)       Save
    The application proportion of composite materials in the structure of modern aerospace vehicles has become an important indicator to measure progress, and the continuous improvement of the application level of composite materials is an important access to realize the lightweight, functionalization and intelligence of aerospace structures. However, the advanced application of composite materials is a complex system engineering, involving multiple fields such as materials, mechanics, design, manufacturing, control and computer science, and requiring the coordinated development of production-learning-research-application. Starting from the application cases in aviation structure manufacturing, the development direction of automated placement technologies for thermosetting composites are discussed by analyzing the technical demands for two typical aviation structures, large-size hyperbolic panel and specially-shaped rotary inlet. Furthermore, the current research and application status at home and abroad are comprehensively analyzed and summarized from three aspects:process planning technology, automated placement equipment development, and placement process planning software development, and the core technical issues faced in the manufacturing of advanced composite components are discussed. Then, developing the integrated capability of composite design and manufacturing is identified to require in-depth analysis of the complex coupling relationship among design, process and manufacturing factors, while process optimization and manufacturing feedback are achieved through single-factor analysis and multi-factor coordination mechanisms. Finally, the development ideas in the field of automated placement technology and equipment are proposed, aiming to provide directional reference for accelerating the construction of high-performance composite manufacturing capability for China.
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    Research Progress and Prospect of Water Hydraulic Manipulator for Underwater Operation
    JI Hui, LAN Yu, WU Ziwei, NIE Songlin, YIN Fanglong
    Journal of Mechanical Engineering    2023, 59 (4): 283-294.   DOI: 10.3901/JME.2023.04.283
    Abstract384)      PDF(pc) (737KB)(813)       Save
    Water hydraulics have board, promising application and development prospects in ocean exploration, marine resources exploitation, and other fields because of its superiorities underwater. Underwater manipulator is an important equipment to perform underwater tasks. By integrating water hydraulic transmission and the underwater manipulator, the complexity of the underwater vehicle-manipulator system can be reduced, and the functionality can be uplifted. By expounding the structural characteristics, research progress and commercialization status, the pros and cons of different driving power and its influence toward the performance and design point of manipulators are detailed which come the conclusion that water hydraulic transmission is the optimal solution for underwater tools. As key technical issues that need to be solved in the design of water hydraulic manipulator, the research progress of tribology and lubrication, materials, dynamics modelling, and motional control are analysed and summarized. Finally, the development trend of underwater manipulator is prospected, and the conclusion is given to provide a reference for relevant research.
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    China Aerospace Systems Engineering Method in the Digital Age
    WANG Guoqing, XIONG Huan, HOU Junjie
    Journal of Mechanical Engineering    2024, 60 (14): 206-214.   DOI: 10.3901/JME.2024.14.206
    Abstract560)      PDF(pc) (301KB)(813)       Save
    The method of China aerospace system engineering is an important magic weapon to support the success of China’s aerospace industry by scientifically organizing and managing the whole process of model product development and the management elements involved around the overall optimal goal of model product development. In the digital age, facing the new requirements and challenges of the construction of a powerful space country and the development of high quality, it is studied and constructed the theoretical and methodological system of space system engineering in the digital age. Based on the discussion of the formation, development and basic methods of aerospace system engineering, the concept, characteristics and overall framework of China aerospace system engineering in the digital era are put forward, and its transformation is systematically analyzed and summarized. With the help of the new generation of information technology, documents will be replaced by models as the important carrier for technical status control and quality management. The efficiency of development and management will be improved through efficient online collaboration. Fine management and scientific decision-making will be realized through data-driven, and organizational management tends to be flat, integrated, agile and collaborative. Profound transformation will take place in organizational management, enabling tools, research and development models, quality management, decision-making methods, supply chain management and so on. The above theoretical and methodological system, combined with the exploration and practice of major aerospace missions, provides theoretical and methodological support for the improvement of model engineering management level and scientific research production capacity.
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    Special Processing Techniques Commonly Used For Silicon Carbide Ceramic-Based Composites: Review
    ZHANG Xiufeng, SHAO Guodong, LIU Chuancheng, SHI Zhenyu, ZOU Bin, WANG Jilai, ZHANG Chengpeng
    Journal of Mechanical Engineering    2023, 59 (1): 199-218.   DOI: 10.3901/JME.2023.01.199
    Abstract605)      PDF(pc) (1337KB)(811)       Save
    Silicon carbide ceramic matrix composites (SiC-CMC) have many advantages, such as high hardness, high strength, high temperature resistance, corrosion resistance etc, showing great application potential in aerospace, nuclear industry, braking system. However, the characteristics of anisotropy, heterogeneity and hard brittleness of SiC-CMC make it very difficult to process. The traditional machining method has some problems such as difficult to control the surface quality, serious tool wear and low machining efficiency. In order to solve the above problems, special processing technology was tried to adopt machining SiC-CMC. However, there are many kinds of special processing technology, which involves more knowledge than traditional processing technology, wide and miscellany. In this paper, laser machining, abrasive water jet machining and electric discharge machining, which are of higher engineering practical value and stronger foundation, are selected to carry out a review. Firstly, the problems of three kinds of special processing technology are introduced and then the methods to solve the problems are summarized. Finally, the advantages and disadvantages of the three are compared and the conclusions are drawn:special processioning technology has its own advantages, laser machining is suitable for machining micro-pores, micro-grooves and other micro-textures; Abrasive water jet machining has higher processing efficiency and can process large complex components. EDM equipment investment is cheap, good at processing thin-plate components and deep cavity groove. Special processioning techniques are neither exclusive nor substitutes for each other, but should complement each other and give play to their advantages to produce complex components with high efficiency and precision.
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    Research Progress on Energy Density of Li-ion Batteries for Evs
    YANG Xulai, YUAN Shuaishuai, YANG Wenjing, LIU Chuang, YANG Shichun
    Journal of Mechanical Engineering    2023, 59 (6): 239-254.   DOI: 10.3901/JME.2023.06.239
    Abstract775)      PDF(pc) (983KB)(808)       Save
    The power battery is the source of driving energy for electric vehicles (EVs), which is directly related to driving range and the safety of EVs. So far, lithium-ion batteries(LIBs) have been extensively used as the power sources for EVs owing to the high energy density and long cycle-life. Based on the battery history and the LIB energy density data of more than 2 000 types of passenger EVs in the 1-48 Catalogs of new energy vehicles exempted from vehicle purchase tax of China, the evolution process of the LIB energy density increasing is systematically analyzed from the data in the Catalog. Meanwhile, the improvement of LIB energy density in China and its role in promoting the development of EVs are reviewed. Then, the advantages and disadvantages of the energy density enhancement technology for lithium-ion power battery are analyzed from the aspects of electrode material, battery process engineering and battery pack structure. Finally, based on the correlation between battery energy density and safety, the safety technologies of high energy density battery in design phase, manufacture phase and use phase of the whole cycle life are summarized, and the development trend of lithium-ion power battery is prospected, which can provide a reference for the healthy development of EVs.
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    A Review of Manufacturing Big Data: Connotation, Methodology, Application and Trends
    WANG Junliang, GAO Pengjie, ZHANG Jie, WANG Lihui
    Journal of Mechanical Engineering    2023, 59 (12): 1-16.   DOI: 10.3901/JME.2023.12.001
    Abstract555)      PDF(pc) (555KB)(801)       Save
    With the development of the 5G, Internet of Things (IoT), and cloud computing technologies, big data in manufacturing systems has become to be a key resource to enable the intelligent operation of manufacturing systems. To further release the benefits of manufacturing data, a comprehensive review of manufacturing big data analytics was given. First, the characteristic of manufacturing big data, the paradigm of data science, and the application model of big data-driven intelligent manufacturing are proposed. Second, three generations of big data analytics are discussed to reveal the development process. Third, the applications of manufacturing big data analytics methods are reviewed from product design, production scheduling, quality optimization and equipment maintenance. Finally, the challenges faced by big data analytics in manufacturing are discussed, and the future development direction of big data analytics is proposed. It is hoped that these views will provide insights for manufacturing big data analysis methods and promote the further development of manufacturing big data technology.
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    Type Synthesis of New Kinematic Bifurcation Parallel Mechanism Based on Atlas Method
    LI Yongquan, ZHENG Tianyu, JIANG Hongsheng, ZHANG Duo, ZHANG Lijie
    Journal of Mechanical Engineering    2022, 58 (23): 1-17.   DOI: 10.3901/JME.2022.23.001
    Abstract809)      PDF(pc) (16961KB)(789)       Save
    The multi-mode parallel mechanism (PM) has great application prospects in aerospace, machining, medical rehabilitation and other fields. However, there are few types of kinematic bifurcation PMs that can realize multi-mode, and most kinematic bifurcation PMs contain RER branches with variable DOF. Therefore, a new type of kinematic bifurcation PM is synthesized based on the atlas method, and the mechanism contains four types of branch chains with variable DOF, which are different from the existing RER branches. Firstly, based on the atlas method, the 2T1R motion bifurcation PM is synthesized by taking the two instantaneous DOF lines at the initial position of the mechanism as an example, which are not coplanar and perpendicular to each other. Then, the direction of the R pair connected to the fixed platform by the URR branch neutralizing mechanism is changed, which made it have two DOFs properties of 2R2T and 3R1T. The improved URR branch chain configuration scheme is applied to some 4-DOF and 5-DOF chains. Three other types of variable DOF chains are proposed, with 4, 12 and 32 chains in each type. Based on the classification of four types of branch chains with different variable DOF in the mechanism, four types of new kinematic bifurcation PMs with 2T1R+2R1T two modes are synthesized, including 12 subcategories in total. Taking the fourth type of branched chain with variable DOF as an example, it is introduced into the PM, and a new type of kinematic bifurcation PM with 3T1R+2R2T two modes is synthesized by the atlas method.
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    Human-centric Smart Manufacturing: Evolution and Outlook
    YAO Xifan, MA Nanfeng, ZHANG Cunji, ZHOU Jiajun
    Journal of Mechanical Engineering    2022, 58 (18): 2-15.   DOI: 10.3901/JME.2022.18.002
    Abstract670)      PDF(pc) (1118KB)(785)       Save
    The new technological and industrial revolution is driving manufacturing to a higher level, promoting the deep integration of new-generation information technology and advanced manufacturing technology, and enabling smart manufacturing toward autonomous intelligence. However, the purpose of production is to better meet human needs, and the role and contribution of production to society is required to be considered. Therefore, human-centric smart manufacturing(HCSM) has attracted more and more attention. Human is still the most important factor in a manufacturing system, so it is necessary to focus on HCSM. To this end, the human-centric problems are firstly addressed faced by smart manufacturing from two aspects: the evolution of human-machine/computer interaction and enterprise innovation along with the industrial revolutions, and the progressive correlation between production paradigms and human needs, in order to illustrate the necessity of introducing “human-centric” philosophy in smart manufacturing; and then summarized human-centric manufacturing evolution from the mechanized mass production in the first industrial revolution to today’s inclusive long-tail manufacturing, and illustrated the realization of HCSM idea exemplified by smart inclusive long-tail manufacturing, and finally the future development trend of HCSM is prospected.
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    Structure Optimization of Micro-hydrocyclone for Ultra-low Inlet Flow Rate
    XING Lei, LI Xinya, JIANG Minghu, ZHAO Lixin, CAI Meng
    Journal of Mechanical Engineering    2022, 58 (23): 251-261.   DOI: 10.3901/JME.2022.23.251
    Abstract554)      PDF(pc) (53094KB)(783)       Save
    It is difficult to guarantee the separation accuracy of oil-water hydrocyclone under the condition of ultra-low inlet flow rate, an innovative micro-hydrocyclone is proposed to solve this problem. The prototypes of micro-hydrocyclone are manufactured by 3D printing technology to carried out the indoor separation performance experiment. Meanwhile, the significance of structural parameters affecting the micro-hydrocyclone separation performance are calculated based on the Plackett-Burman design method. The order of the significance of structural parameters on the oil concentration of underflow is obtained. The mathematical relationship model between the structural parameters and oil concentration of underflow is established by using the steepest climbing design and the response surface methodology. Furthermore, the mathematical relationship model is solved based on the least square method, the optimal structural parameters which can improve the separation performance of micro-hydrocyclone is obtained. The separation performance experiments are carried out under the conditions of different split ratio, inlet flow rate and oil concentration to compare the optimal micro-hydrocyclone with the initial one. The experimental results show that the maximum separation efficiency of the optimal micro-hydrocyclone is 99.85% when the overflow split ratio is 30%,inlet flow rate is 1.0 L/min and oil concentration is 2%. The separation performance of the optimized hydrocyclone is higher than that of the initial one, obviously. The experimental results not only verify the accuracy of the results of response surface methodology, but also prove that the proposed micro-hydrocyclone can achieve oil-water efficient separation under the condition of ultra-low inlet flow rate.
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