中国机械工程
中國機械工程
중국궤계공정
CHINA MECHANICAl ENGINEERING
2015年
14期
1888-1893,1894
,共7页
李爱平%鲍进%李聪%刘雪梅%谢楠
李愛平%鮑進%李聰%劉雪梅%謝楠
리애평%포진%리총%류설매%사남
低能耗%平面端铣削%粗/精加工%多目标%全局优化
低能耗%平麵耑鐉削%粗/精加工%多目標%全跼優化
저능모%평면단선삭%조/정가공%다목표%전국우화
low energy consumption%surface end milling%rough and finish process%multiple tar-get%global optimization
以平面端铣削粗/精加工过程为研究对象,根据变频调速铣床主轴电机运行特点,提出分段空载功率函数模型,构建铣床粗/精加工总能耗模型及总生产率模型,并通过相应实验对模型进行完善。结合实际生产建立粗/精加工过程约束条件。选取企业实际生产案例,采用遗传算法对选定加工特征的粗/精端铣削过程进行全局多目标优化,并与传统只针对粗加工或精加工的局部铣削参数优化进行比较。实验结果表明,与优化前相比,局部优化后的粗/精加工总能耗下降了12.51%,全局优化后的粗/精加工总能耗下降了15.04%;局部优化后总加工时间缩短了18.48%,全局优化后总加工时间缩短了21.26%。
以平麵耑鐉削粗/精加工過程為研究對象,根據變頻調速鐉床主軸電機運行特點,提齣分段空載功率函數模型,構建鐉床粗/精加工總能耗模型及總生產率模型,併通過相應實驗對模型進行完善。結閤實際生產建立粗/精加工過程約束條件。選取企業實際生產案例,採用遺傳算法對選定加工特徵的粗/精耑鐉削過程進行全跼多目標優化,併與傳統隻針對粗加工或精加工的跼部鐉削參數優化進行比較。實驗結果錶明,與優化前相比,跼部優化後的粗/精加工總能耗下降瞭12.51%,全跼優化後的粗/精加工總能耗下降瞭15.04%;跼部優化後總加工時間縮短瞭18.48%,全跼優化後總加工時間縮短瞭21.26%。
이평면단선삭조/정가공과정위연구대상,근거변빈조속선상주축전궤운행특점,제출분단공재공솔함수모형,구건선상조/정가공총능모모형급총생산솔모형,병통과상응실험대모형진행완선。결합실제생산건립조/정가공과정약속조건。선취기업실제생산안례,채용유전산법대선정가공특정적조/정단선삭과정진행전국다목표우화,병여전통지침대조가공혹정가공적국부선삭삼수우화진행비교。실험결과표명,여우화전상비,국부우화후적조/정가공총능모하강료12.51%,전국우화후적조/정가공총능모하강료15.04%;국부우화후총가공시간축단료18.48%,전국우화후총가공시간축단료21.26%。
With the research of surface end-milling for both of rough and finish processes,a piece-wise function concerned with CNC idle energy consumption was built considering the characteristics of variable volocity variable frequency(VVVF)machine tool.Mathematical models of energy consump-tion for rough and finish milling processes and processing efficiency were established.Related experi-ments were performed to test the models and the related constraints on rough and finish milling processes.Global optimization searching for the best combination of milling parameters were achieved using GA,moreover,the results were compared with that of the local optimization.The verified exper-iments show that the local optimization method can reduce 12.5 1% of the total energy consumption, and the reduction for global method is 15.04%.Meanwhile,the local optimization method can also cut 18.48% of the processing time and the reduction for global method is as 21.26%.