Connotation and Assessment Method for Inherent Energy Efficiency of Machine Tools

doi:10.3901/JME.2018.07.167

Abstract

Abstract: Energy efficiency assessment for machine tool is the basic of its energy efficiency improvement. The existing researches of energy efficiency assessment mainly focus on the machining process of machine tool. However, the study on the nature energy efficiency assessment of machine tool, which is able to support the design for energy-efficient machine tools, is defective. A concept of inherent energy efficiency (IEE) which represents the nature energy efficiency of machine tool based on energy consumption characteristics of machine tool is presented, and the IEE is the integrated energy efficiency of various processes. The connotation of inherent energy efficiency of machine tool is analyzed and an effective way for describing IEE named virtual workpiece method is proposed. An assessing index system, including two comprehensive indices (inherent specific energy consumption and inherent energy efficiency) and four single indices (standby power, equivalent starting energy, equivalent unloaded power and equivalent additional load loss coefficient), is built. Moreover, the obtainment method for the inherent energy efficiency indices mentioned above are built based on the virtual workpiece, aiming to access internal energy efficiency of machine tool. The case study shows the practicability of the method presented. The method plays an important role in designing energy-efficient machine tools, designing and developing new manufacturing system, as well as rebuilding high energy consumption equipment, which would contribute to improving the comprehensive energy efficiency of machine tools during the use phase of lifecycle.

Key words: energy assessment, inherent energy efficiency, machine tools, virtual workpiece

CLC Number:

TG501

TUO Junbo, LIU Fei, ZHANG Hua, LIU Peiji, CAI Wei. Connotation and Assessment Method for Inherent Energy Efficiency of Machine Tools[J]. Journal of Mechanical Engineering, 2018, 54(7): 167-175.

References

[1] 中国机床工具工业协会. 中国机床工具工业年鉴[M]. 北京:机械工业出版社, 2014. China Machine Tool & tool Builder Association. China machine tool & tool industry yearbook[M]. Beijing:China Machine Press, 2014.
[2] 何彦,林申龙,王禹林,等. 数控机床多能量源的动态能耗建模与仿真方法[J]. 机械工程学报, 2015, 51(11):123-132. HE Yan, LIN Shenlong, WANG Yulin, et al. Method for modeling the dynamic energy characteristics of multi-energy sources in CNC machine tool[J]. Journal of Mechanical Engineering, 2015, 51(11):123-132.
[3] CAI Wei, LIU Fei, XIE Jun, et al. An energy management approach for the mechanical manufacturing industry through developing a multi-objective energy benchmark[J]. Energy Conversion and Management, 2017, 132:361-371.
[4] CAI Wei, LIU Fei, ZHOU Xiaona, et al. Fine energy consumption allowance of workpieces in the mechanical manufacturing industry[J]. Energy, 2016, 114:623-633.
[5] 路甬祥. 走向绿色和智能制造——中国制造发展之路[J]. 中国机械工程, 2010, 21(4):379-386, 399. LU Yongxiang. Toward green manufacturing and intelligent manufacturing——development road of china manufacturing[J]. China Mechanical Engineering, 2010, 21(4):379-386, 399.
[6] 刘飞,徐宗俊,但斌. 机械加工系统能量特性及其应用[M].北京:机械工业出版社, 1995. LIU Fei, XU Zongjun, DAN Bin, et al. Machining system energy consumption characteristics and its application[M]. Beijing:China Machine Press, 1995.
[7] 刘飞,刘培基,李聪波,等. 制造系统能量效率研究的现状及难点问题[J]. 机械工程学报, 2017, 53(5):1-11. LIU Fei, LIU Peiji, LI Congbo, et al. The statue and difficult problems of research on energy efficiency of manufacturing systems[J]. Journal of Mechanical Engineering, 2017, 53(5):1-11.
[8] WANG Qiulian, LIU Fei, LI Congbo. An integrated method for assessing the energy efficiency of machining workshop[J]. Journal of Cleaner Production, 2013, 52:122-133.
[9] Japanese Standards Association. TS B 0024-1:2010, machine tools-test methods for electric power consumption-part 1:Machining centres[S]. Japan:Japanese Standards Association, 2010.
[10] BEHRENDT T, ZEIN A, MIN S. Development of an energy consumption monitoring procedure for machine tools[J]. CIRP Annals-Manufacturing Technology, 2012, 61(1):43-46.
[11] 杨增光. 数控加工标准样件设计及能耗数据管理系统研究[D]. 哈尔滨:哈尔滨工业大学, 2013. YANG Zengguang. Research on standard sample design of NC machine and energy consumption data management system[D]. Harbin:Harbin Institute of Technology, 2013.
[12] MOUZON G, YILDIRIM M, TWOMEY J. Operational methods for minimization of energy consumption of manufacturing equipment[J]. International Journal of Production Research, 2007, 45:18-19.
[13] HUANG Jing, LIU Fei, XIE Jun. A method for determining the energy consumption of machine tools in the spindle start-up process before machining[J]. Proceedings of the Institution of Mechanical Engineers, Part B:Journal of Engineering Manufacture, 2016, 230(9):1639-1649.
[14] LIU Peiji, LIU Fei, QIU Hang. A novel approach for acquiring the real-time energy efficiency of machine tools[J]. Energy, 2017, 121:524-532.
[15] HU Shaohua, LIU Fei, HE Yan, et al. Characteristics of additional load losses of spindle system of machine tools[J]. Journal of Advanced Mechanical Design, Systems, and Manufacturing, 2010, 4(7):1221-1233.
[16] 刘培基,刘霜,刘飞. 数控机床主动力系统载荷能量损耗系数的计算获取方法[J]. 机械工程学报, 2016, 52(11):121-128. LIU Peiji, LIU Shuang, LIU Fei. Calculating method for additional load loss coefficient of spindle system of cnc machine tools[J]. Journal of Mechanical Engineering, 2016, 52(11):121-128.
[17] XIE Jun, LIU Fei, HUANG Jing, et al. Mapping acquisition of loading loss coefficient of main driving system of machine tools[J]. Proceedings of the Institution of Mechanical Engineers, Part B:Journal of Engineering Manufacture.2016, doi:10.1177/0954405415623488.
[18] 李特, 芮执元, 胡赤兵, 等. 滚齿切削力研究综述[J]. 现代制造工程, 2016(12):154-161. LI Te, RUI Zhiyuan, HU Chibing, et al. The research deveoopment of gear cutting force[J]. Modern Manufacturing Engineering, 2016(12):154-161.
[19] 于春建,黄筱调. 滚齿切削力计算方法分析[J]. 工具技术, 2007, 41(3):42-45. YU Chunjian, HUNG Xiaodiao. Analysis of calculating methods for hobbing force[J]. Tool Engineering. 2007, 41(3):42-45.