Please wait a minute...
 首页  期刊介绍 期刊订阅 联系我们 横山亮次奖 百年刊庆
 
最新录用  |  预出版  |  当期目录  |  过刊浏览  |  阅读排行  |  下载排行  |  引用排行  |  横山亮次奖  |  百年刊庆
清华大学学报(自然科学版)  2018, Vol. 58 Issue (12): 1107-1114    DOI: 10.16511/j.cnki.qhdxxb.2018.21.024
  机械工程 本期目录 | 过刊浏览 | 高级检索 |
基于S试件的加工中心电主轴载荷谱编制
陈代伟1, 吴军1, 张彬彬1, 王立平1, 梁建红2
1. 清华大学 机械工程系, 北京 100084;
2. 西南科技大学信息工程学院, 绵阳 621010
Load spectrum compilation for machining center spindles based on S-shaped specimens
CHEN Daiwei1, WU Jun1, ZHANG Binbin1, WANG Liping1, LIANG Jianhong2
1. Department of Mechanical Engineering, Tsinghua University, Beijing 100084, China;
2. School of Information Engineering, Southwest University of Science and Technology, Mianyang, 621010, China
全文: PDF(7030 KB)  
输出: BibTeX | EndNote (RIS)      
摘要 开展以载荷谱为指导的电主轴模拟加载试验是检验主轴可靠性的一种重要途径。该文提出一种基于切削力系数辨识及切削仿真的加工中心电主轴载荷谱编制的方法。基于切削力模型,开展切削力系数辨识实验,然后将辨识得到的切削力系数代入到切削力模型用于切削力计算,并通过对比实验检验切削模型的准确性;在AdvantEdge FEM软件的PM 3D(production module 3D)模块中开展基于S试件的切削仿真,获取切削参数的时间历程;结合切削力模型与切削S试件的切削参数,仿真获取较准确的动态切削力,并用雨流计数法进行循环计数;根据计数结果对备选概率分布模型进行参数拟合,通过拟合图形与KS(Kolmogorov-Smirnov)检验值的分析比较,筛选出的最优模型即为基于概率分布模型的载荷谱。基于该载荷谱,在一台电主轴可靠性试验台上进行了加载试验来验证载荷谱对加载试验的指导作用。结果表明:基于仿真的动态切削力与实验值基本一致,可用于载荷谱编制;该载荷谱可以指导加载试验。该方法为主轴可靠性试验奠定了坚实基础。
服务
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章
陈代伟
吴军
张彬彬
王立平
梁建红
关键词 载荷谱切削力模型系数辨识雨流计数概率分布模型    
Abstract:Spindle reliability tests characterized by the load spectrum are used to test spindle reliability. This paper presents a spindle load spectrum compilation method based on coefficient identification and cutting simulations. The cutting force coefficient in a cutting force model is identified and the cutting force predicted by the cutting model is compared with the measured cutting force to validate the model. The simulated cutting force on an S-shaped specimen was analyzed to obtain time histories of the cutting parameters. The cutting force model and the cutting parameters were then used to predict the dynamic cutting force with the cycles of the dynamic counted with the rain-flow counting method. Alternative probability distribution models were fit to the counting result with the best model selected based on the multi-fitting curve and the KS (Kolmogorov-Smirnov) test. The load spectrum was then used to guide a spindle loading test. The results show that the dynamic force is accurately predicted and can be used to predict the load spectrum and also guide loading tests. This method will improve spindle test reliability.
Key wordsload spectrum    cutting force model    coefficient identification    rain-flow counting    probability distribution model
收稿日期: 2018-08-29      出版日期: 2018-12-13
基金资助:国家科技重大专项(2016ZX04004004,2017ZX04002001)
通讯作者: 吴军,副教授,E-mail:jhwu@mail.tsinghua.edu.cn     E-mail: jhwu@mail.tsinghua.edu.cn
引用本文:   
陈代伟, 吴军, 张彬彬, 王立平, 梁建红. 基于S试件的加工中心电主轴载荷谱编制[J]. 清华大学学报(自然科学版), 2018, 58(12): 1107-1114.
CHEN Daiwei, WU Jun, ZHANG Binbin, WANG Liping, LIANG Jianhong. Load spectrum compilation for machining center spindles based on S-shaped specimens. Journal of Tsinghua University(Science and Technology), 2018, 58(12): 1107-1114.
链接本文:  
http://jst.tsinghuajournals.com/CN/10.16511/j.cnki.qhdxxb.2018.21.024  或          http://jst.tsinghuajournals.com/CN/Y2018/V58/I12/1107
  图1 基于切削仿真的载荷谱编制流程图
  图2 螺旋铣刀切削刃轮廓及微元受力情况
  图3 切削试验现场图
  图3 切削试验现场图
  表2 切削力系数结果
  图4 (网络版彩图)实测与仿真切削力对比图
  图5 S试件的切削仿真
  图6 切向力的仿真结果
  图7 雨流计数结果的三维柱状图
  图8 概率密度分布图
  图9 拟合结果对比图
  表3 拟合结果数据表
  表4 切向力加载谱
  图10 加载试验台
  图11 加载试验信号分析图
[1] 王东亮. 基于载荷谱的主轴电液伺服加载可靠性试验技术研究[D]. 吉林:吉林大学, 2015. WANG D L. Research on spindle electro-hydraulic servo loading reliability test technology based on load spectrum[D]. Jilin:Jilin University, 2015.(in Chinese)
[2] 高云凯, 徐成民, 方剑光. 车身台架疲劳试验程序载荷谱研究[J]. 机械工程学报, 2014, 50(4):92-98. GAO Y K, XU C M, FANG J G. Study on the programed load spectrum of the body fatigue bench test[J]. Journal of Mechanical Engineering, 2014, 50(4):92-98.(in Chinese)
[3] 王振雨. 载荷谱编制中极值载荷确定方法及应用[D]. 吉林:吉林大学, 2012. WANG Z Y. Research on specifying the extreme load and its application in compiling load spectra[D]. Jilin:Jilin University, 2012.(in Chinese)
[4] 王义强, 贾亚洲, 于骏一,等. 数控车床载荷谱数据库的建立[J]. 吉林大学学报(工学版), 1998(1):34-38. WANG Y Q, JIA Y Z, YU J Y, et al. Setup of the load spectrum data bank of CNC lathe[J]. Journal of Jilin University (Engineering and Technology Edition), 1998(1):34-38.(in Chinese)
[5] 黄祖广, 赵钦志, 盛伯浩,等. 加工中心可靠性试验载荷谱的研究[J]. 制造技术与机床, 2008(2):60-65. HUANG Z G, ZHAO Q Z, SHENG B H, et al. Research on the loading chart for reliability testing of machining center[J]. Manufacturing Technology & Machine Tool, 2008(2):60-65.(in Chinese)
[6] 陈传海. 面向可靠性概率设计的数控机床载荷谱建立方法研究[D]. 吉林:吉林大学, 2013. CHEN C H. Study on load spectrum for probability-reliability design of NC machine tools[D]. Jilin:Jilin University, 2013.(in Chinese)
[7] 方杰. 加工中心载荷测试技术与载荷谱编制方法研究[D]. 吉林:吉林大学, 2014. FANG J. Research on load testing technology and load spectrum compilation of CNC machine centers[D]. Jilin:Jilin University, 2014. (in Chinese)
[8] 周传阳. 加工中心主轴载荷谱编制及疲劳寿命预测研究[D]. 吉林:吉林大学, 2016. ZHOU C Y. Study on load spectrum compilation and fatigue life prediction of machining center spindle[D]. Jilin:Jilin University, 2016. (in Chinese)
[9] 刘强,李忠群. 数控铣削加工过程仿真与优化[M]. 北京:航天工业出版社, 2011:49-52. LIU Q, LI Z Q. Simulation and optimization of CNC milling progress[M]. Beijing:Aviation Industry Press, 2011:49-52. (in Chinese)
[10] ALTINTA Ç Y, BUDAK E. Analytical prediction of stability lobes in milling[J]. Cirp, 1995, 44(1):357-362.
[11] 李忠群. 复杂切削条件高速铣削加工动力学建模、仿真与切削参数优化研究[D]. 北京:北京航空航天大学, 2008. LI Z Q. Dynamic modeling, simulation and optimization of high speed milling under complicated cutting conditions[D]. Beijing:Beihang University, 2008. (in Chinese)
[12] 陈勇, 刘雄伟. 在Matlab/Simulink环境下的动态铣削力仿真[J]. 华侨大学学报(自然科学版), 2003, 24(2):168-173. CHEN Y, LIU X W. A dynamic simulation of milling force in Matlab/Simulink environment[J]. Journal of Huaqiao University (Natural Science), 2003, 24(2):168-173. (in Chinese)
[13] 肖田, 王怀峰, 武文革. 基于AdvantEdge的钛合金Ti6Al4V的高速铣削有限元仿真[J]. 煤矿机械, 2012, 33(5):138-140. XIAO T, WANG H F, WU W G. Finite element method simulation in high speed milling of Ti6Al4V alloy based on AdvantEdge[J]. Coal Mine Machinery, 2012, 33(5):138-140. (in Chinese)
[14] MUSALLAM M, JOHNSON C M. An efficient implementation of the rain-flow counting algorithm for life consumption estimation[J]. IEEE Transactions on Reliability, 2012, 61(4):978-986.
[15] 阎楚良, 王公权. 雨流计数法及其统计处理程序研究[J]. 农业机械学报, 1982(4):90-103. YAN C L, WANG G Q. Investigation of rain-flow counting method and its program of statistical treatment[J]. Transactions of the Chinese Society for Agricultural Machinery, 1982(4):90-103. (in Chinese)
[16] 蒋仁言, 左明健. 可靠性模型与应用[M]. 北京:机械工业出版社, 1999. JIANG R Y, ZUO M J. Reliability model and application[M]. Beijing:China Machine Press, 1999. (in Chinese)
[17] 王立平, 赵钦志, 张彬彬. 加工中心高速电主轴综合精度分析[J]. 清华大学学报(自然科学版), 2018, 58(8):746-751. WANG L P, ZHAO Q Z, ZHANG B B. Accuracy of an electric spindle[J]. Journal of Tsinghua University (Science and Technology), 2018, 58(8):746-751. (in Chinese)
[18] 康辉民, 陈小安, 陈文曲,等. 高速电主轴轴承热分析与实验研究[J]. 机械强度, 2011, 33(6):797-802. KANG H M, CHEN X A, CHEN W Q, et al. High speed motorized spindle bearing thermal analysis and experimental research[J]. Journal of Mechanical Strength, 2011, 33(6):797-802. (in Chinese)
[19] 王立平, 张彬彬, 吴军. 基于最小二乘法的电主轴回转精度评价[J]. 制造技术与机床, 2018(2):54-60. WANG L P, ZHANG B B, WU J. Rotation accuracy evaluation of electric spindle based on least square method[J]. Manufacturing Technology & Machine Tool, 2018(2):54-60. (in Chinese)
No related articles found!
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
版权所有 © 《清华大学学报(自然科学版)》编辑部
本系统由北京玛格泰克科技发展有限公司设计开发 技术支持:support@magtech.com.cn