激光增材制造过程低碳建模与工艺参数优化

doi:10.3901/JME.2022.05.223

机械工程学报 ›› 2022, Vol. 58 ›› Issue (5): 223-238.doi: 10.3901/JME.2022.05.223

扫码分享

激光增材制造过程低碳建模与工艺参数优化

姜兴宇, 刘傲, 杨国哲, 刘伟军, 卞宏友, 索英祁

沈阳工业大学机械工程学院沈阳 110870

收稿日期:2021-03-03 修回日期:2021-10-09 出版日期:2022-03-05 发布日期:2022-04-28
通讯作者: 杨国哲(通信作者),男,1973年出生,博士,讲师。主要研究方向为激光增材制造。E-mail:xiakexing1999@126.com E-mail:xiakexing1999@126.com
作者简介:姜兴宇,男,1980年出生,教授,博士研究生导师。主要研究方向为绿色制造、制造过程能耗优化。E-mail:xingtianliu@sjtu.edu.cn;刘傲,男,1995年出生,硕士研究生。主要研究方向为绿色制造。E-mail:996726899@qq.com;刘伟军,男,1969年出生,博士,教授,博士研究生导师。主要研究方向为激光增材制造;卞宏友,男,1975年出生,博士,教授,博士研究生导师。主要研究方向为激光增材制造;索英祁,女,1994年出生,硕士研究生。主要研究方向为绿色制造。
基金资助:
辽宁省“兴辽英才计划”科技创新领军人才(XLYC1802038);青年拔尖人才(XLYC1807211);沈阳中青年科技创新人才(RC190148);辽宁省重点领域开放基金(2019-KF-04-02)资助项目。

Low-carbon Modeling and Process Parameter Optimization in Laser Additive Manufacturing Process

JIANG Xing-yu, LIU Ao, YANG Guo-zhe, LIU Wei-jun, BIAN Hong-you, SUO Ying-qi

School of Mechanical Engineering, Shenyang University of Technology, Shenyang 110870

Received:2021-03-03 Revised:2021-10-09 Online:2022-03-05 Published:2022-04-28

摘要/Abstract

摘要： 激光增材制造是基于高能激光束快速熔覆金属粉末成形的工艺,其工艺过程时间长、能耗大会导致产生大量碳排放,基于此,系统分析激光增材制造过程的碳排放特性,建立激光增材制造过程碳排放模型;在此基础上,以碳排放、粉末利用率及熔覆质量为优化目标,建立激光增材制造过程工艺参数多目标优化模型,提出一种结合改进非支配排序与人工鱼步长人工鱼群求解算法,解决模型求解后期寻找参数解集盲目性大、目标函数解集均匀性差问题,通过熵权-灰色关联分析综合Pareto最优解集法获取最优工艺参数组合。最后,以LDM4030激光增材制造装备为试验平台进行激光熔覆试验,试验结果表明:该模型及算法可有效降低激光增材制造过程碳排放,提高粉末利用率,保证熔覆质量,为我国激光增材制造装备产业实现碳达峰、碳中和提供一条有效途径。

关键词: 激光增材制造, 碳排放, 工艺参数, 多目标优化

Abstract: Laser additive manufacturing is a rapid cladding metal powder forming process based on high energy laser beam which produce a large amount of carbon emissions due to long time process and high energy consumption. The carbon emission characteristics of laser additive manufacturing process are systematically analyzed at first, and the carbon emission model of laser additive manufacturing process is established. Then, a multi-objective optimization model of process parameters in laser additive manufacturing process is established with the optimization objectives of carbon emission, powder utilization rate and cladding quality.Furthermore, a novel artificial fish swarm optimization algorithm combined with improved non-dominated sorting and artificial fish step size is proposed which solves the problem that it is blindness of finding parameter solution set and the poor uniformity of objective function solution set. And then the optimal process parameter combination is obtained by entropy weight-grey correlation analysis combined with Pareto optimal solution set method. Finally, the laser cladding experiment is carried out on the LDM4030 laser additive manufacturing equipment as the experimental platform. The experimental results show that the model and algorithm can effectively reduce the carbon emission in the laser additive manufacturing process, improve the utilization rate of powder and ensure the quality of cladding. It provides an effective way for China's laser additive manufacturing equipment industry to achieve carbon peak and carbon neutralization.

Key words: laser additive manufacturing, carbon emissions, process parameters, multi-objective optimization

中图分类号:

TG156

姜兴宇, 刘傲, 杨国哲, 刘伟军, 卞宏友, 索英祁. 激光增材制造过程低碳建模与工艺参数优化[J]. 机械工程学报, 2022, 58(5): 223-238.

JIANG Xing-yu, LIU Ao, YANG Guo-zhe, LIU Wei-jun, BIAN Hong-you, SUO Ying-qi. Low-carbon Modeling and Process Parameter Optimization in Laser Additive Manufacturing Process[J]. Journal of Mechanical Engineering, 2022, 58(5): 223-238.

参考文献

[1] GF A,FG A.An approach to design for environmental sustainability of additive manufactured metal components[J].Procedia Structural Integrity,2019,24:758-763.
[2] TAO P.analysis of energy utilization in 3d printing processes[J].Procedia CIRP,2016,40:62-67.
[3] 张雷,张北鲲,鲍宏,等.产品熔融沉积制造的碳排放量化方法[J].机械工程学报,2017,53(5):50-59.ZHANG Lei,ZHANG Beikun,BAO Hong,et al.Carbon emissions quantitative methodology of product fused deposition manufacturing[J].Journal of Mechanical Engineering,2017,53(5):50-59.
[4] 王秋成,魏瑞晖,张启炯.废旧轿车无级变速箱熔覆工艺的碳排放评估[J].中国机械工程,2017,28(18):2224-2230+2267.WANG Qiuchen,WEI Ruihui,ZHANG Qijiong.Assessment of carbon emisions of remanufacturing process of used CVT[J].China Mechanical Engineering,2017,28(18):2224-2230+2267.
[5] Le BOURHIS F,KERBRAT O,DEMBINSKI L,et al.Predictive model for environmental assessment in additive manufacturing process[J].Procedia CIRP,2014,15:26-31.
[6] KELLENS K,RENALDI R,DEWULF W,et al.Environmental impact modeling of selective laser sintering processes[J].Rapid Prototyping Journal,2014,20(6):459-470.
[7] 董萌萌,李涛,郭燕春,等.激光熔覆系统能耗建模分析方法研究[J].大连理工大学学报,2018,58(3):229-237.DONG Mengmeng,LI Tao,GUO Yanchun,et al.Investigation on energy consumption modeling analysis method of laser clading system[J].Journal of Dalian University of Technology,2018,58(3):229-237.
[8] KESHTIARA M,GOLABI S,ESFAHANI R T.Multi-objective optimization of stainless steel 304 tube laser forming process using GA[J].Engineering with Computers,2021,37(4):155-177.
[9] PENG T,LV J,MAJEED A,et al.An experimental investigation on energy-effective additive manufacturing of aluminum parts via process parameter selection[J].Journal of Cleaner Production,2020,279:123609.
[10] PANDA B N,GARG A,SHANKHWAR K.Empirical investigation of environmental characteristic of 3-Dadditive manufacturing process based on slice thickness and part orientation[J].Measurement,2016,86:293-300.
[11] SHI K N,ZHANG D H,LIU N,et al.A novel energy consumption model for milling process considering tool wear progression[J].Journal of Cleaner Production,2018,184(MAY 20):152-159.
[12] BALOGUN V A,MATIVENGA P T.Modelling of direct energy requirements in mechanical machining processes[J].Journal of Cleaner Production,2013,41(FEB.):179-186.
[13] HE Bin,TANG Wen,WANG Jun.Product model integrated with carbon footprint for low-carbon design[J].International Journal of Precision Engineering & Manufacturing,2015,16(11):2383-2388.
[14] 邓朝晖,吕黎曙,符亚辉,等.机床零部件生命周期碳排放评估与减排策略研究[J].机械工程学报,2017,53(11):144-156.DENG Zhaohui,LÜLishu,FU Yahui,et al.Assessing carbon emission of machine tool parts from life cycle perspective and emission reduction strategy[J].Journal of Mechanical Engineering,2017,53(11):144-156.
[15] 顾佰和,谭显春,谭显波,等.制造系统生产单元碳排放核算模型[J].中国管理科学,2018,26(10):123-131.GU Baihe,TAN Xianchun,TAN Xianbo,et al.Study on the production unit's carbon emission accounting model in the manufacturing system[J].Chinese Journal of Management Science,2018,26(10):123-131.
[16] IE Y T,GULER S E,CABBAROGLU C,et al.Optimisation of cutting parameters for minimizing carbon emission and maximising cutting quality in turning process[J].International Journal of Production Research,2018,56(23-24):7179-7179.
[17] ZHOU G,LU Q,XIAO Z,et al.Cutting parameter optimization for machining operations considering carbon emissions[J].Journal of Cleaner Production,2019,208(1):937-950.
[18] 李聪波,付松,陈行政,等.面向高效节能的数控滚齿加工参数多目标优化模型[J].计算机集成制造系统,2020,26(3):676-687.LI Congbo,FU Song,CHEN Xingzheng,et al.Multi-objective CNC gear hobbing parameters optimization model for high efficiency and energy saving[J].Computer Integrated Manufacturing Systems,2020,26(03):676-687.
[19] 田长乐,周光辉,张俊杰,等.碳排放约束下基于特征的刀具选配与切削参数集成优化[J].计算机集成制造系统,2020,26(8):2060-2072.TIAN Changle,ZHOU Guanghui,ZHANG Junjie,et al.Integeration optimization of tool selection and cutting parameters based on machining features considering carbon emission[J].Computer Integrated Manufacturing Systems,2020,26(8):2060-2072.
[20] 詹欣隆,张超勇,孟磊磊,等.基于改进引力搜索算法的铣削加工参数低碳建模及优化[J].中国机械工程,2020,31(12):1481-1491.ZHAN Xinlong,ZHANG Chaoyong,MENG Leilei,et al.Low carbon modeling and optimization of milling parameters based on improved gravity search algorithm[J].China Mechanical Engineering,2020,31(12):1481-1491.
[21] 李晓磊,邵之江,钱积新.一种基于动物自治体的寻优模式:鱼群算法[J].系统工程理论与实践,2002(11):32-38.LI Xiaolei,SHAO Zhijiang,QIAN Jixin.An optimizing method based on autonomous animats:Fish-swarm algorithm[J].Systems Engineering-Theory & Practice,2002(11):32-38.
[22] 罗辞勇,陈民铀,张聪誉.采用循环拥挤排序策略的改进NSGA-II算法[J].控制与决策,2010,25(2):227-231.LUO Ciyong,CHEN Minyou,ZHANG Congyu.Improved NSGA-II algorithm with circular crowded sorting[J].Control and Decision,2010,25(2):227-231.

激光增材制造过程低碳建模与工艺参数优化

Low-carbon Modeling and Process Parameter Optimization in Laser Additive Manufacturing Process

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

本文评价

[1]	赵希坤, 李聪波, 杨勇, 吕岩, 姜书艳. 数据-机理混合驱动下考虑刀具柔性的柔性加工工艺参数能效优化方法[J]. 机械工程学报, 2024, 60(7): 236-248.
[2]	周晨, 徐飞翔. 四轮独立转向车辆转向模式切换轨迹多目标优化方法研究[J]. 机械工程学报, 2024, 60(6): 306-320.
[3]	柴依扬, 张乐乐, 窦伟元, 张海峰. 基于并行NSGA-III算法的高速列车车体侧墙结构高维多目标优化[J]. 机械工程学报, 2024, 60(6): 321-333.
[4]	苏建涛, 董绍华, 朱诗敏. 多目标混合流水车间机器故障重调度问题研究[J]. 机械工程学报, 2024, 60(4): 438-448.
[5]	唐红涛, 魏书鹏, 李西兴, 雷德明, 汪开普. 考虑排队因素的多车型车辆配置与路径协同优化[J]. 机械工程学报, 2024, 60(4): 458-472.
[6]	吕利叶, 鲁玉军, 王硕, 刘印, 李昆鹏, 宋学官. 代理模型技术及其应用：现状与展望[J]. 机械工程学报, 2024, 60(3): 254-281.
[7]	王旭, 姜兴宇, 杨国哲, 孙猛, 于沈弘, 毕凯航, 赵日铮, 刘伟军. 基于PSO-SSA的激光清洗装备人机界面布局优化研究[J]. 机械工程学报, 2024, 60(20): 372-387.
[8]	熊瑞, 李正阳, 燕润博, 杨瑞鑫. 全气候自热锂离子电池及低温极速加热策略研究[J]. 机械工程学报, 2024, 60(18): 247-257.
[9]	梁旭, 张建勇, 李国涛, 苏婷婷, 何广平, 侯增广. 面向骨折复位手术的冗余并联机构：设计、建模与性能分析[J]. 机械工程学报, 2024, 60(17): 133-146.
[10]	程吉, 曹宏东, 屈蜀光, 郑凯伦, 何祝斌. 基于黏塑性本构的6061铝合金管热气胀成形工艺参量建模研究[J]. 机械工程学报, 2024, 60(16): 108-117.
[11]	王洪亮, 雍健羽, 皮大伟, 谢伯元, 王尔烈, 王显会. 基于贝塞尔曲线和多目标优化方法的多车队形切换轨迹规划[J]. 机械工程学报, 2024, 60(16): 270-279.
[12]	赵峰, 胡伟飞, 李光, 邓晓豫, 刘振宇, 郭云飞, 谭建荣. 基于混合指标自适应采样代理模型的多目标优化设计方法[J]. 机械工程学报, 2024, 60(13): 81-91.
[13]	任国鑫, 崔泽琴, 丁正祥, 郝晓虎, 王文先, 李卫国. 殷瓦合金激光增材制造研究进展[J]. 机械工程学报, 2024, 60(11): 259-272.
[14]	高转妮, 王磊磊, 李响, 刘志强, 吕飞阅, 黎一帆, 占小红. 7075铝合金激光熔丝增材制造热循环和温度梯度对熔池凝固组织的影响研究[J]. 机械工程学报, 2024, 60(1): 96-118.
[15]	王娟, 刘美红, 祝世兴, 陈文博, 李遇贤, 孙军锋. 指尖密封结构参数的多目标混合教与学优化方法[J]. 机械工程学报, 2023, 59(9): 157-170.