Multi-objective Optimization Model Faced to Demands of Energy Saving and High Efficiency for CNC Machining Systems

Abstract

Abstract: Aiming at the complex multi-source and dynamic energy characteristics of CNC machining systems, a unit working state-based modeling and optimization method was proposed. Firstly, the CNC machining system energy consumption units and their energy characteristics in working states were studied, and dynamic energy models of time-varying and non-time-varying units were established. Secondly, an optimization model faced to energy saving and high efficiency was established, which took cutting speed and feed as the variables, and minimum energy consumption and machining time as the objectives, a solving method was proposed based on niche genetic algorithm. Finally, a machine tool center frame base processing case study was performed to verify the effectiveness of the proposed method and model, and the optimization results and the algorithm performance were also analyzed.

Key words: energy unit, CNC machining system, energy saving &, high efficiency, niche genetic algorithm

摘要： 针对数控加工系统复杂的多源动态能耗特性，提出了一种基于单元工作状态的能耗建模与优化方法。首先，对数控加工系统能耗单元及其工作状态的能耗特性进行分析，建立了时变能耗单元和非时变能耗单元的工作状态能耗模型；其次，构建以切削速度和进给量为变量，以最小系统能耗和最短加工时间为目标的数控加工系统节能高效多目标优化模型，提出一种基于小生境遗传算法的模型求解方法；最后，通过某机床中心架底座加工案例对所提方法和模型进行了验证，并对优化结果、算法性能进行了对比分析，说明了上述模型和方法的有效性。

关键词: 能耗单元, 数控加工系统, 节能高效, 小生境遗传算法

CLC Number:

TG156

YAN Wei, ZHANG Hua, JIANG Zhigang, MA Feng, . Multi-objective Optimization Model Faced to Demands of Energy Saving and High Efficiency for CNC Machining Systems[J]. China Mechanical Engineering.

鄢威, 张华, 江志刚, 马峰, . [绿色制造工艺和系统]面向节能高效需求的数控加工系统多目标优化模型[J]. 中国机械工程.

References

[1]YI Qing, LI Congbo, TANG Ying, et al. Multi-objective Parameter Optimization of CNC Machining for Low Carbon Manufacturing[J]. Journal of Cleaner Production, 2015, 95: 256-264.
[2]刘飞, 王秋莲. 机械制造系统能效评价的特点、研究现状及发展趋势[J]. 中国机械工程, 2013, 24(11): 1550-1556.
LIU Fei, WANG Qiulian. Energy Efficiency Assessment of Mechanical Manufacturing System: Characteristics, State-of-the-art and Future Trends [J]. China Mechanical Engineering, 2013, 24(11): 1550-1556.
[3]BENNETT D P, YANO C A. A Decomposition Approach for an Equipment Selection and Multiple Product Routing Problem Incorporating Environmental Factors[J]. European Journal of Operational Research, 2004, 156(3): 643-664.
[4]KURAM E, OZCELIK B, BAYRAMOGLU M, et al. Optimization of Cutting Fluids and Cutting Parameters during End Milling by Using D-optimal Design of Experiments[J]. Journal of Cleaner Production, 2013，42: 159-166.
[5]ROZMARINA D, JAROSLAV J, MAJERIK J. Implementation of CAD/CAM System CATIA V5 in Simulation of CNC Machining Process[J]. Procedia Engineering, 2014, 69(1): 638-645.
[6]SUBRAMANIAN M, SAKTHIVEL M, SOORYAPRAKASH K, et al. Optimization of End Mill Tool Geometry Parameters for Al7075-T6 Machining Operations Based on Vibration Amplitude by Response Surface Methodology[J]. Measurement, 2013，46: 4005-4022.
[7]LIN W W, YU D Y, ZHANG C Y, et al. A Multi-objective Teaching-learning-based Optimization Algorithm to Scheduling in Turning Processes for Minimizing Makespan and Carbon Footprint[J]. Journal of Cleaner Production, 2015, 101:337-347.
[8]YAN Jihong, LI Lin. Multi-objective Optimization of Milling Parameters the Trade-offs between Energy, Production Rate and Cutting Quality[J]. Journal of Cleaner Production, 2013, 52: 462-471.
[9]MA Feng, ZHANG Hua, CAO Huajun, et al. An Energy Consumption Optimization Strategy for Milling[J]. International Journal of Advanced Manufacturing Technology. 2016, 29(9): 1-12.
[10]LI Jianguang, LU Yong, ZHAO Hang, et al. Optimization of Cutting Parameters for Energy Saving[J]. International Journal of Advanced Manufacturing Technology, 2014, 70: 117-124.
[11]李聪波, 李鹏宇, 刘飞, 等. 面向高效低碳的机械加工路线多目标优化模型[J]. 机械工程学报, 2014, 50(17): 133-141.
LI Congbo, LI Pengyu, LIU Fei, et al. Multi-objective Machining Process Route Optimization Model for High Efficiency and Low Carbon [J]. Journal of Mechanical Engineering, 2014, 50(17): 133-141.
[12]伍晓榕, 张树有, 裘乐淼, 等. 面向绿色制造的加工工艺参数决策方法及应用[J]. 机械工程学报, 2013, 49(7): 91-100.
WU Xiaorong, ZHANG Shuyou, QIU Lemiao, et al. Decision Making Method of Process Parameter Selection for Green Manufacturing Based on a DEMATEL-VIKOR Algorithm[J]. Journal of Mechanical Engineering, 2013, 49(7): 91-100.
[13]陈行政, 李聪波, 李丽，等. 面向能效的多工步数控铣削工艺参数多目标优化模型[J]. 计算机集成制造系统, 2016, 22(2): 538-546.
CHEN Xingzheng, LI Congbo, LI Li, et al. Multi-objective Parameter Optimization Model of Multi-pass CNC Milling for Energy Efficiency[J]. Computer Integrated Manufacturing Systems, 2016, 22(2): 538-546.
[14]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.
[15]ISO. WD 14955-1 Environmental Evaluation of Machine Tools—Part 1: Energy-saving Design Methodology for Machine tools [S]. Geneva, Switzerland: International Organization for Standardization, 2010.
[16]胡韶华. 现代数控机床多源能耗特性研究[D]. 重庆: 重庆大学, 2012.
HU Shaohua. Energy Consumption Characteristics of Multiple-component of Modern CNC Machine Tools[D]. Chongqing: Chongqing University, 2012.
[17]LYU Jingxiang, TANG Renzhong, TANG W C J, et al. An Investigation into Reducing the Spindle Acceleration Energy Consumption of Machine Tools[J]. Journal of Cleaner Production, 2017，143: 794-803.
[18]施金良, 刘飞, 许弟建，等. 变频调数控机床主传动系统的功率平衡方程[J]. 机械工程学报， 2010, 46(3): 118-124.
SHI Jinliang, LIU Fei, XU Dijian, et al. Power Balance Equation about the Numerical Control Machine Tool’s Main Driver System Driven by Variable Voltage Variable Frequency[J]. Journal of Mechanical Engineering, 2010, 46(3): 118-124.
[19]刘霜, 刘飞, 王秋莲. 机床机电主传动系统服役过程能量效率获取方法[J]. 机械工程学报, 2012, 48(23): 111-117.
LIU Shuang, LIU Fei, WANG Qiulian. Energy Efficiency Acquisition Method for Electro-mechanical Maindriving System during the Service Process of Machine Tools[J]. Journal of Mechanical Engineering, 2012, 48(23): 111-117.
[20]辜承林, 陈乔夫, 熊永前. 电机学[M]. 武汉: 华中科技大学出版社, 2010.
GU Chenglin, CHEN Qiaofu, XIONG Yongqian. Electric Machinery[M]. Wuhan: Huazhong University of Science & Technology Press, 2010.
[21]顾绳谷. 电机及拖动基础[M]. 北京: 机械工业出版社, 2007.
GU Shenggu. Fundamentals of Electrical Machines and Drives[M]. Beijing: China Machine Press, 2007.
[22]SIARRY P, PETROWSKI A, BESSAOU M. A Multi-population Genetic Algorithm Aimed at Multimodal Optimization[J]. Advances in Engineering Software, 2002，33: 207-213.