机械工程学报 ›› 2022, Vol. 58 ›› Issue (7): 183-192.doi: 10.3901/JME.2022.07.183
朱硕1,2, 潘志强1,3, 江志刚1,2, 鄢威2,3, 张华1,2
收稿日期:
2021-02-18
修回日期:
2021-09-16
出版日期:
2022-05-20
发布日期:
2022-05-20
通讯作者:
江志刚(通信作者),男,1978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、再制造。E-mail:jzg100@163.com
作者简介:
朱硕,男,1989年出生,博士,副教授,硕士研究生导师。主要研究方向为绿色制造、再制造。E-mail:zhushuo@wust.edu.cn;潘志强,男,1997年出生,硕士研究生。主要研究方向为绿色制造、再制造。E-mail:810387532@qq.com;鄢威,男,1981年出生,博士,副教授,硕士研究生导师。主要研究方向为绿色制造。E-mail:yanwei81@wust.edu.cn;张华,女,1964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、再制造、制造信息化。E-mail:zhanghua403@163.com
基金资助:
ZHU Shuo1,2, PAN Zhiqiang1,3, JIANG Zhigang1,2, YAN Wei2,3, ZHANG Hua1,2
Received:
2021-02-18
Revised:
2021-09-16
Online:
2022-05-20
Published:
2022-05-20
摘要: 随着高新技术的迅猛发展,机电产品升级换代与资源浪费之间的矛盾正愈发激化。值得关注的是,产品升级换代的速度越快,其废旧品的再制造恢复价值就越低,再制造升级需求也就越大。由于废旧机电产品在服役过程中物理、技术、经济多属性寿命的不平衡性以及再升级需求的多样化,导致再升级设计方案生成与优化极具个性化与复杂性,对其研究具有很高的学术价值与工程应用价值。为此,通过探究再升级设计的问题特征,以量大面广的废旧机电产品为对象,综述其寿命演化分析、再升级设计模型、再升级设计优化方法的代表性研究进展,进而指出废旧机电产品再升级设计的研究层次及其主要研究趋势与重点研究内容,以促进高品质再制造工程的实施,推动高端智能再制造升级的规模化发展。
中图分类号:
朱硕, 潘志强, 江志刚, 鄢威, 张华. 基于多寿命特征的废旧机电产品再升级设计研究进展[J]. 机械工程学报, 2022, 58(7): 183-192.
ZHU Shuo, PAN Zhiqiang, JIANG Zhigang, YAN Wei, ZHANG Hua. A Survey on Remanufacturing Upgrade Design of Used Mechanical and Electrical Products Based on Multi-life Characteristic[J]. Journal of Mechanical Engineering, 2022, 58(7): 183-192.
[1] 郑汉东,陈意,李恩重,等. 政府推动再制造产业发展的演化博弈策略研究[J]. 中国机械工程,2018,29(3):340-347. ZHENG Handong,CHEN Yi,LI Enzhong,et al. Research on evolutionary game strategy of promoting development of remanufacturing industries by government[J]. China Mechanical Engineering,2018,29(3):340-347. [2] PRENDEVILLE S,BOCKEN N. Design for remanufacturing and circular business models[M] Singapore:Springer,2017. [3] 中华人民共和国工业和信息化部. 关于《再制造产品目录(第七批)》的公告(2018年第3号)[J]. 表面工程与再制造,2018,18(1):8. Ministry of Industry and Information Technology of the People's Republic of China. Announcement on the catalogue of remanufactured products (Batch 7) (No.3 of 2018)[J]. Surface Engineering & Remanufacturing,2018,18(1):8. [4] 京津冀再制造产业技术研究院. 中国再制造产业技术发展(2019)[M]. 北京:机械工业出版社,2020. Remanufacturing Industry Technology Research Institute of Beijing-Tianjin-Hebei. Technology development of China's remanufacturing industry (2019)[M]. Beijing:China Machine Press,2020. [5] 徐滨士. 新时代中国特色再制造的创新发展[J]. 中国表面工程,2018,31(1):1-6. XU Binshi. Innovation and development of remanufacturing with Chinese characteristics for a new era[J]. China Surface Engineering,2018,31(1):1-6. [6] 中华人民共和国工业和信息化部. 工业绿色发展规划(2016-2020年)[J]. 中国工业和信息化,2016(11):107-109. Ministry of Industry and Information Technology of the People's Republic of China. Industrial green development plan (2016-2020)[J]. China Industry & Information Technology,2016(11):107-109. [7] 中华人民共和国工业和信息化部,中华人民共和国国家发展改革委,中华人民共和国财政部,等. 《绿色制造工程实施指南(2016-2020年)》解读[J]. 中国资源综合利用,2016,34(9):18-21. Ministry of Industry and Information Technology of the People's Republic of China,National Devefopment and Reform Commission of the People's Ropublicof China,Ministry of Finance of People's Republic of China,et al. Interpretation of green manufacturing engineering implementation guide (2016-2020)[J]. China Resources Comprehensive Utilization,2016,34(9):18-21. [8] 中华人民共和国国家发展改革委,中华人民共和国科技部,中华人民共和国工业和信息化部,等. 关于印发《循环发展引领行动》的通知[J]. 表面工程与再制造,2017,17(Z1):6-9. National Development and Reform Commission of the People's Republic of China,Ministry of Science and Technology of the People's Republic of China,Ministry of Industry and Information Technology of the People's Republic of China,et al. Notice on the issuance of "Circular Development Leading Action"[J]. Surface Engineering & Remanufacturing,2017,17(Z1):6-9. [9] 中华人民共和国工业和信息化部. 高端智能再制造行动计划(2018-2020年)[J]. 表面工程与再制造,2017,17(6):13-16. Ministry of Industry and Information Technology of the People's Republic of China. High-end intelligent remanufacturing action plan (2018-2020)[J]. Surface Engineering & Remanufacturing,2017,17(6):13-16. [10] 孙晓峰,史佩京,邱骥,等. 再制造技术体系及典型技术[J]. 中国表面工程,2013,26(5):117-124. SUN Xiaofeng,SHI Peijing,QIU Ji,et al. Technical system and typical technologies of remanufacture[J]. China Surface Engineering,2013,26(5):117-124. [11] 姚巨坤,朱胜. 再制造升级[M].北京:机械工业出版社,2016. YAO Jukun,ZHU Sheng. Remanufacturing Upgrade[M]. Beijing:China Machine Press,2016. [12] 朱胜,姚巨坤.装备再制造升级及其工程技术体系[J]. 装甲兵工程学院学报,2011,25(6):67-70. ZHU Sheng,YAO Jukun. Equipment Remanufacturing Upgrading and Its Engineering Technology System[J]. Journal of Armored Force Engineering Institute,2011,25(6):67-70. [13] 姚巨坤,朱胜,崔培枝,等. 面向多寿命周期的全与再制造升级系统[J]. 中国表面工程,2015,28(5):129-135. YAO Jukun,ZHU Sheng,CUI Peizhi,et al. Whole Domain Remanufacturing Upgrade System Facing Product Multi-life Cycle[J]. China Surface Engineering,2015,28(5):129-135. [14] 徐滨士,夏丹,谭君洋,等. 中国智能再制造的现状与发展[J]. 中国表面工程,2018,31(5):1-13. XU Binshi,XIA Dan,TAN Junyang,et al. Status and Development of intelligent remanufacturing in China[J]. China Surface Engineering,2018,31(5):1-13. [15] 姚巨坤,朱胜,时小军,等. 再制造设计的创新理论与方法[J]. 中国表面工程,2014,27(2):1-5. YAO Jukun,ZHU Sheng,SHI Xiaojun,. New theory and methods of remanufacturing design[J]. China Surface Engineering,2014,27(2):1-5. [16] 梁秀兵,刘渤海,史佩京,等. 智能再制造工程体系[J].科技导报,34(24):74-79. LIANG Xiubing,LIU Bohai,SHI Peijing,et al. Intelligent remanufacturing engineering system[J]. Science & Technology Review,34(24):74-79. [17] JOHN W W,GUI Yuntian,SIMON B. Residual magnetic field sensing for stress measurement[J]. Sensors & Actuators A Physical,2007,135(2):381-387. [18] HUANG H,QIAN Z. Recent advances in magnetic non-destructive testing and the application of this technique to remanufacturing[J]. Insight-Non-Destructive Testing and Condition Monitoring,2018,60(8):451-462. [19] GAO Yatian,LI Siqi,LENG Jiancheng. Residual life prediction method for remanufacturing sucker rods based on magnetic memory testing and a support vector machine model[J]. Insight-Non-Destructive Testing and Condition Monitoring,2019,61(1):44-50. [20] STEENECK D W,SARIN S C. Product design for leased products under remanufacturing[J]. International Journal of Production Economics,2018,202:132-144. [21] 邓超,陶志奎,吴军,等. 基于性能退化的数控机床剩余寿命预测[J]. 机械工程学报,2018,54(17):181-189. DENG Chao,TAO Zhikui,WU Jun,et al. Residual life prediction for NC machine tool based on performance degradation[J]. Journal of Mechanical Engineering,2018,54(17):181-189. [22] 张旭刚,张华,江志刚. 基于剩余使用寿命评估的再制造方案决策模型及应用[J]. 机械工程学报,2013,49(7):51-57. ZHANG Xugang,ZHANG Hua,JIANG Zhigang. Remanufacturing scheme decision model and application based on remaining useful life estimation[J]. Journal of Mechanical Engineering,2013,49(7):51-57. [23] ZHOU L,GUPTA S M. Value depreciation factors for new and remanufactured high-technology products:A case study on iPhones and iPads[J]. International Journal of Production Research,2020(4):1-32. [24] REN Y,GAO D,XU L. Prediction of service life of large centrifugal compressor remanufactured impeller based on clustering rough set and fuzzy Bandelet neural network[J]. Applied Soft Computing,2019,78:132-140. [25] XU Lei,CAO Huajun,LIU Hailong,et al. Assessment of fatigue life of remanufactured impeller based on FEA[J]. Frontiers of mechanical engineering,2016,11(3):219-226. [26] 宋亚南,徐滨士,王海斗,等. 超高周疲劳寿命预测方法探讨[J]. 稀有金属材料与工程,2016,45(5):1203-1208. SONG Yanan,XU Binshi,WANG Haidou,et al. Life prediction models in very high cycle fatigue regime[J]. Rare Metal Materials and Engineering,2016,45(5):1203-1208. [27] 朱胜,姚巨坤. 再制造设计理论及应用[M]. 北京:机械工业出版社,2009. ZHU Sheng,YAO Jukun. Remanufacturing design theory and application[M]. Beijing:China Machine Press,2009. [28] 王海斗,徐滨士,姜褂,等. 超音速等离子喷涂层的组织及性能分析[J]. 焊接学报,2011,32(9):1-4. WANG Haidou,XU Binshi,JIANG Gua,et al. Microstructure and mechanical properties of supersonic plasma sprayed coating[J]. Transactions of the China Welding Institution,2011,32(9):1-4. [29] 王常浩,刘淑杰,王轶凡,等. 再制造航空发动机涡轮盘LCF寿命预测研究[J].大连理工大学学报,2019,59(4):366-371. WANG Changhao,LIU Shujie,WANG Yifan,et al. Research on low cycle fatigue life prediction of remanufactured turbine disk on aeroengine[J]. Journal of Dalian University of Technology,2019,59(4):366-371. [30] 舒林森. 离心压缩机再制造叶轮服役寿命预测模型及数值仿真研究[D]. 重庆:重庆大学,2013. SHU Linsen. Study on life prediction model and numerical simulation for remanufactured impeller of centrifugal compressor[D]. Chongqing:Chongqing University,2013. [31] KAMPKER A,WESSEL S,FIEDLER F,et al. Battery pack remanufacturing process up to cell level with sorting and repurposing of battery cells[J]. Journal of Remanufacturing,2020:1-23. [32] CHAKRABORTY K,MONDAL S,MUKHERJEE K. Analysis of product design characteristics for remanufacturing using Fuzzy AHP and Axiomatic Design[J]. Journal of Engineering Design,2017,28(5):338-368. [33] AKTURK M S,ABBEY J D,GEISMAR H N. Strategic design of multiple lifecycle products for remanufacturing operations[J]. IISE Transactions,2017,49(10):967-979. [34] LINDKVIST Haziri L,SUNDIN E,SAKAO T. Feedback from remanufacturing:Its unexploited potential to improve future product design[J]. Sustainability,2019,11(15):4037. [35] 张秀芬,蔚刚,刘行. 支持再制造设计的产品失效模式信息传递模型[J]. 机械工程学报,2017,53(3):201-208. ZHANG Xiufen,YU Gang,LIU Xing. Product failure mode information transfer polychromatic model for design for remanufacture[J]. Journal of Mechanical Engineering,2017,53(3):201-208. [36] 宋守许,冯艳,柯庆镝,等. 基于寿命匹配的零部件再制造优化设计方法[J]. 中国机械工程,2015,26(10):1323-1329. SONG Shouxu,FENG Yan,KE Qingdi,et al. Component optimization design for remanufacturing based on life matching[J]. China Mechanical Engineering,2015,26(10):1323-1329. [37] 宋守许,邱权,卜建,等. 基于寿命匹配函数的主动再制造设计方法[J]. 中国机械工程,2018,29(17):2094-2099. SONG Shouxu,QIU Quan,BU Jian,et al. Design method of predecisional remanufacturing based on life matching function[J]. China Mechanical Engineering,2018,29(17):2094-2099. [38] 曹华军,张潞潞,杜彦斌,等. 面向资源重用的再制造定制设计关系优化配置模型及应用[J]. 机械设计,2010,27(5):77-81. CAO Huajun,ZHANG Lulu,DU Yanbin,et al. Customized design relationship optimal configure model and application of the resource reuse oriented re-fabrication[J]. Journal of Machine Design,2010,27(5):77-81. [39] VAN Nguyen T,ZHOU L,CHONG A Y L,et al. Predicting customer demand for remanufactured products:A data-mining approach[J]. European Journal of Operational Research,2020,281(3):543-558. [40] TU Q,DENG Y M,NEE A Y C,et al. Functional upgrading fundamental and performance upgrading priority ranking of adaptable-function products[J]. Proceedings of the Institution of Mechanical Engineers,Part C:Journal of Mechanical Engineering Science,2019,233(6):2135-2148. [41] XING K,BELUSKO M,LUONG L,et al. An evaluation model of product upgradeability for remanufacture[J]. The International Journal of Advanced Manufacturing Technology,2007,35(1-2):1-14. [42] 姜兴宇,宋博学,李丽,等. 面向顾客满意度的废旧机床再制造设计参数规划方法[J]. 中国表面工程,2017,30(4):150-159. JIANG Xingyu,SONG Boxue,LI Li,et al. Customer oriented planning method of remanufacturing design for used machine tools[J]. China Surface Engineering,2017,30(4):150-159. [43] 李丽,金嘉琦,姜兴宇,等. 废旧机床再设计关键质量特性的识别方法[J]. 机械设计与制造,2018(5):151-154. LI Li,JIN Jiaqi,JIANG Xingyu,et al. ldentification method of key quality characteristics for old machine tools redesign[J]. Machinery Design & Manufacture,2018(5):151-154. [44] 辛兰兰,贾秀杰,李方义,等. 面向机电产品方案设计的绿色特征建模[J]. 计算机集成制造系统,2012,18(4):713-718. XIN Lanlan,JIA Xiujie,LI Fangyi,et al. Green feature modeling for mechanical and electrical product conceptual design[J]. Computer Integrated Manufacturing Systems,2012,18(4):713-718. [45] 孙清超,魏静,孙伟,等. 面向机械装备节能设计的能耗信息描述与集成[J]. 机械工程学报,2014,50(1):111-119. SUN Qingchao,WEI Jing,SUN Wei,et al. Energy information description and integration of machinery equipment oriented to energy-saving design[J]. Journal of Mechanical Engineering,2014,50(1):111-119. [46] MARKUS B,EVA B,MATTHIAS B,et al. Product design improvement through knowledge feedback of cyber-physical systems[J]. Procedia CIRP,2016,50:186-191. [47] YANG S S,ONG S K,NEE A Y C. A decision support tool for product design for remanufacturing[J]. Procedia CIRP,2016,40:144-149. [48] KE C,JIANG Z,ZHANG H,et al. An intelligent design for remanufacturing method based on vector space model and case-based reasoning[J]. Journal of Cleaner Production,2020,277:123269. [49] WANG Y,WANG S,YANG B,et al. Big data driven Hierarchical Digital Twin Predictive Remanufacturing paradigm:Architecture,control mechanism,application scenario and benefits[J]. Journal of Cleaner Production,2020,248:119299. [50] 王亚辉,余隋怀,陈登凯,等.基于深度学习的人工智能设计决策模型[J]. 计算机集成制造系统,2019,25(10):2467-2475. WANG Yahui,YU Suihuai,CHEN Dengkai et al. Artificial intelligence design decision making model based on deep learning[J]. Computer Integrated Manufacturing Systems,2019,25(10):2467-2475. [51] 冯培恩,张帅,潘双夏,等. 复合功能产品概念设计循环求解过程及其实现[J]. 机械工程学报,2005,41(3):135-141. FENG Peien,ZHANG Shuai,PAN Shuangxia,et al. Cyclic solving process and realization for conceptual design of complex function product[J]. Journal of Mechanical Engineering,2005,41(3):135-141. [52] GONG Q S,ZHANG H,JIANG Z G,et al. Nonempirical hybrid multi-attribute decision-making method for design for remanufacturing[J]. Advances in Manufacturing,2019,7(4):423-437. [53] ZHANG X G,ZHANG H,JIANG Z G,et al. A decision-making approach for end-of-life strategies selection of used parts[J]. International Journal of Advanced Manufacturing Technology,2016,87(5-8):1457-1464. [54] JIANG Z,WANG H,ZHANG H,et al. Value recovery options portfolio optimization for remanufacturing end of life product[J]. Journal of Cleaner Production,2019,210:419-431. [55] DU Y,ZHENG Y,WU G,et al. Decision-making method of heavy-duty machine tool remanufacturing based on AHP-entropy weight and extension theory[J]. Journal of Cleaner Production,2020,252:119607. [56] KANG Y,TANG D.Matrix-based computational conceptual design with ant colony optimization[J]. Journal of Engineering Design,2013,24(6):429-452. [57] XIA X,WANG S,ZHANG Z,et al. Life balance-considered matching optimization method for remanufactured parts[J]. Journal of Computing and Information Science in Engineering,2020,20(4). [58] 吴小艳. 绿色再制造设计管理研究[D]. 武汉:武汉理工大学,2011. WU Xiaoyan. Research on Green Remanufacturing Design Management[D]. Wuhan:Wuhan University of Technology,2011. [59] 张英英,杜纲. 考虑再制造的产品族配置主从关联优化[J]. 计算机集成制造系统,2018,24(6):1511-1521. ZHANG Yingying,DU Gang. Leader-follower joint optimization of product family configuration with consideration of remanufacturing[J]. Computer Integrated Manufacturing Systems,2018,24(6):1511-1521. [60] 宿彪,黄向明,任莹晖,等. 基于蚁群算法的工程机械再制造优化选配方法研究[J]. 机械工程学报,2017,53(5):60-68. SU Biao,HUANG Xiangming,REN Yinghui,et al. Research on selective assembly method optimization for construction machinery remanufacturing based on ant colony algorithm[J]. Journal of Mechanical Engineering,2017,53(5):60-68. [61] 王涵,江志刚,张华,等. 基于目标级联的废旧机械装备多目标优化再设计方法研究[J]. 机械工程学报,2019,55(3):147-153. WANG Han,JIANG Zhigang,ZHANG Hua,et al. Research on multi-objective optimization redesign method for used mechanical equipment based on analytical target cascading[J]. Journal of Mechanical Engineering,2019,55(3):147-153. |
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