机床服役过程能量效率的可预测特性及预测方法研究

doi:10.3901/JME.2019.17.172

机械工程学报 ›› 2019, Vol. 55 ›› Issue (17): 172-184.doi: 10.3901/JME.2019.17.172

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机床服役过程能量效率的可预测特性及预测方法研究

谢俊^1,2, 刘飞³, 蔡维³

1. 重庆工商大学制造装备机构设计与控制重庆市重点实验室重庆 400067;
2. 重庆理工大学机械工程学院重庆 400054;
3. 重庆大学机械传动国家重点实验室重庆 400030

收稿日期:2018-08-26 修回日期:2019-04-18 出版日期:2019-09-05 发布日期:2020-01-07
通讯作者: 谢俊(通信作者),男,1987年出生,博士,讲师,硕士研究生导师。主要研究方向为绿色制造、制造系统能量效率。E-mail:xiejun10_11@foxmail.com
作者简介:刘飞,男,1948年出生,博士,教授,博士研究生导师。主要研究方向为绿色制造、制造系统工程和数字化制造。E-mail:fliu@cqu.edu.cn;蔡维,男,1991年出生,博士研究生。主要研究方向为制造系统能量效率。E-mail:caiweijixie@163.com
基金资助:
国家自然科学基金（51705055）、重庆市基础科学与前沿技术研究专项（cstc2017jcyjAX0021）和重庆市教委科学技术研究（KJ1709227）资助项目。

Research on the Characteristics and Methodology for Predicting Energy Efficiency during the Service Process of Machine Tools

XIE Jun^1,2, LIU Fei³, CAI Wei³

1. Chongqing Key Laboratory of Manufacturing Equipment Mechanism Design and Control, Chongqing Technology and Business University, Chongqing 400067;
2. College of Mechanical Engineering, Chongqing University of Technology, Chongqing 400054;
3. The State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing 400030

Received:2018-08-26 Revised:2019-04-18 Online:2019-09-05 Published:2020-01-07

摘要/Abstract

摘要： 以机床为能耗主体的机械加工系统量大面广，能量消耗总量巨大，由其带来的环境问题日益严重，以至于能量效率提升相关研究已经成为了全球共同关注的问题。通过分析机床运行过程中的时段能耗特性，对各个运行时段的能量源的运行特性进行了系统研究；然后，从能量消耗机理出发，对机床运行过程各时段能量消耗的可预测特性及预测方法进行研究；最后提出了机床服役过程能量效率预测方法。案例研究和试验验证表明，该方法的预测精度可以达到90%以上，充分证明了该预测方法具有较好的实用性和较高的预测精度。该方法能够为能效提升研究提供工具支持，具有较好的应用前景。

关键词: 机床, 能量效率, 可预测特性, 预测方法

Abstract: The machine tools are numerous and are used in a wide range of applications in industry, the total amount of energy consumption by machine tools is extremely high, and the environmental problem caused by the energy consumption is more and more serious. For the reasons mentioned above, the researches on how to promote energy efficiency of machine tools have become the focus of many organizations and universities. In this paper, the running characteristics of energy consumption components are studied systematically based on the analysis of the energy consumption characteristics of each stage in manufacturing process, then the characteristics and method for predicting energy consumption in in each manufacturing process are studied based on the mechanism of energy consumption. Finally, the method for predicting energy efficiency during the service process of machine tools is presented. The experimental results indicate that the accuracy of this method can reach over 90%, and the feasibility and accuracy of the method is verified by the experimental results. The research is capable of providing method support for the research on energy efficiency promoting and have broad application prospect.

Key words: machine tools, energy efficiency, predictable characteristic, prediction method

中图分类号:

谢俊, 刘飞, 蔡维. 机床服役过程能量效率的可预测特性及预测方法研究[J]. 机械工程学报, 2019, 55(17): 172-184.

XIE Jun, LIU Fei, CAI Wei. Research on the Characteristics and Methodology for Predicting Energy Efficiency during the Service Process of Machine Tools[J]. Journal of Mechanical Engineering, 2019, 55(17): 172-184.

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机床服役过程能量效率的可预测特性及预测方法研究

Research on the Characteristics and Methodology for Predicting Energy Efficiency during the Service Process of Machine Tools

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