Investigations and practices on green manufacturing in machining systems

Abstract

A machining system is a typical manufacturing system. A green manufacturing function framework of machining systems is structured to describe the traits of input, output and control elements in the system. Based on the function framework, the green manufacturing problem framework of machining systems is presented. The green manufacturing problems in machining systems are classified into three classes and related series of subclass problems. The three classes of problems in the green manufacturing problem framework are the problems of the minimization of resource consumption, the minimization of environmental discharge, and the synthesized minimization of both of them. A series of investigations and practices on green manufacturing in machining system, performed by the authors for quite a long period, are introduced in brief, such as the optimizing system for raw material cutting, the matching system for energy-saving in machining, the design of highly efficient dry hobbing machine tools, the multi-objective decision-making model for green manufacturing in machining systems, and the decision-making supporting system for green manufacturing in machining processes.

Keywords

machining system / green manufacturing / framework

References

[1] SrinivasanM, ShengP. Feature-based process planning for environmentally conscious machining—Part 1: microplanning[J]. Robotics and Computer Integrated Manufacturing, 1999, 15: 257-270

[2] ChoiA C K, KaebernickH, LaiW H. Manufacturing processes modeling for environmental impact assessment [J]. Journal of Materials Processing Technology, 1997, 70: 231-238

[3] SrinivasanM, ShengP. Feature based process planning for environmentally conscious machining — Part 2: macroplanning [J]. Robotics and Computer Integrated Manufacturing, 1999, 15: 271-281

[4] HurT, KimI, YamamotoR. Measurement of green productivity and its improvement [J]. Journal of Cleaner Production, 2004, 12: 673-683

[5] LiuFei, CaoHua-jun, ZhangHuaGreen Manufacturing Theory and Technologies [M], 2005, Beijing, Science Press

[6] YanChun-ping, LiuFei, LiuYing, et al.. Multisoftware collaboration cutting-stock method based on ASP and its implementing technologies [J]. China Mechanical Engineering, 2002, 13(24): 2144-2147

[7] KishawayH A, KannanS, BalazinskiM. An energy based analytical force model force model for orthogonal cutting of metal matrix composites [J]. CIRP Asnnals — Manufacturing Technology, 2004, 53: 91-94

[8] LiuFei, XuZong-jun, DanBinEnergy Performance of Machining Systems and its Application [M], 1995, Beijing, China Machine Press

[9] LiXian-guangStudy on Design and Assessment Technology of High-Speed Dry-Cutting Gear Hobber for Green Nanufacturing [D], 2003, Chongqing, Chongqing University

[10] CaoHua-jun, LiuFei, YanPing, et al.. A decision-making framework model of machining process planning for green manufacturing and its application [J]. International Journal of Environmentally Conscious Design & Manufacturing, 2003, 11(4): 20-27

[11] YangYong, WangLi-hua, ZhangHuaYanPing. Decisions of machining processes for green manufacturing [A]. The 10th Annual academic Symposium on Manufacturing Automation Technology Research and Application [C], 2002, Beijing, China Machine Press: 83-87

[12] CaoHua-jun, LiuFei, HeYan, et al.. Machine tool selection model and its application for green manufacturing[J]. Chinese Journal of Mechanical Engineering, 2004, 40(3): 26-30

[13] TanX C, LiuF, CaoH J, et al.. A decision-making framework model of cutting fluid selection for green manufacturing and a case study[J]. Journal of Materials Processing Technology, 2002, 129: 467-470

[14] TanXian-chun, LiuFei, CaoHua-jun, et al.. A decision-making framework model of tool selection for green manufacturing and its applications[J]. Journal of Chongqing University (National Science Edition), 2003, 26(3): 117-121

[15] TanXian-chun, LiuFei, CaoHua-jun, et al.. Decision-making model for process route in green manufacturing and its algorithms [J]. Chinese Journal of Mechanical Engineering, 2004, 40(4): 154-159

[16] CaoHua-junStudy on Process Planning Technologies for Green Manufacturing [D], 2004, Chongqing, Chongqing University