考虑多种误差影响的数控机床载荷谱编制

陈传海; 杨兆军; 孟广伟; 田海龙; 李洪洲

doi:10.3788/OPE.20152313.0355

您当前的位置：

首页 >

文章列表页 >

考虑多种误差影响的数控机床载荷谱编制

更新时间：2020-08-13

- 考虑多种误差影响的数控机床载荷谱编制
- Load spectra of NC machine tools considering multiple influence factors
- 光学精密工程 2015年23卷第10z期页码：355-360
- 作者机构：
  
  吉林大学机械科学与工程学院,吉林长春,中国,130025
- 作者简介：
- 基金信息：
  
  国家自然科学基金(No.51505186)();吉林省科技发展计划特色产业基地建设资助项目(No.20130302009GX)();中国博士后科学基金(No.2015M
- DOI：10.3788/OPE.20152313.0355
  中图分类号： TG659
- 收稿日期：2015-04-15，
  
  修回日期：2015-05-10，
  
  纸质出版日期：2015-11-14
- 稿件说明：
移动端阅览
陈传海, 杨兆军, 孟广伟等. 考虑多种误差影响的数控机床载荷谱编制[J]. 光学精密工程, 2015,23(10z): 355-360

CHEN Chuan-hai, YANG Zhao-jun, MENG Guang-wei etc. Load spectra of NC machine tools considering multiple influence factors[J]. Editorial Office of Optics and Precision Engineering, 2015,23(10z): 355-360
陈传海, 杨兆军, 孟广伟等. 考虑多种误差影响的数控机床载荷谱编制[J]. 光学精密工程, 2015,23(10z): 355-360 DOI： 10.3788/OPE.20152313.0355.

CHEN Chuan-hai, YANG Zhao-jun, MENG Guang-wei etc. Load spectra of NC machine tools considering multiple influence factors[J]. Editorial Office of Optics and Precision Engineering, 2015,23(10z): 355-360 DOI： 10.3788/OPE.20152313.0355.

摘要

提出了考虑多工况、多影响因素的数控机床载荷谱编制方法

以便实现数控机床的可靠性概率设计

从本质上提高数控机床的可靠性。首先

以机床每次切削时的切削长度与进给量的比值作为载荷循环次数

载荷循环次数与所有载荷循环次数总和的比值作为相对循环次数

机床工作载荷与额定载荷的比值作为相对载荷;采用统计分析方法

建立了以载荷相对循环次数为自变量、相对载荷为因变量的载荷分布函数。然后

针对样本载荷数据服从多个分布函数的情况

提出以多种误差信息为评价因素

采用数据包络分析方法评价得出载荷最优分布模型的载荷谱编制方法。应用表明:所述方法可以建立准确的数控机床载荷谱

试验所跟踪数控机床的载荷服从

=0.37

=0.53的伽玛分布函数。结果表明所建立的载荷谱可以满足数控机床的可靠性概率设计要求。

Abstract

A method to establish the representative load spectrum for probability-reliability design of Numerical Control(NC) machine tools was proposed by considering multiple working conditions and multiple influence factors to improve its reliability essentially. Firstly

the ratio of feeding length to feed speed was set as fatigue loading cycles

the ratio of loading cycles to total loading cycles was set as relative loading cycles

and the ratio of working load to the specified load of machine tools as relative load. Then

the load distribution function of a relative load

. relative loading cycles was established using statistical analysis. In view of the situation that the load data obeyed different distribution functions

a data envelopment analysis method in which multiple error information was taken as evaluation factors was proposed to determine the best distribution model. The application results show that load spectrum of NC machine tools can be accurately established using this method. The load data of tested NC machine tools follow the gamma distribution with

=0.37 and

=0.53. The load spectrum meets the requirements of probability-reliability design of NC machine tools.

关键词

Keywords

references

杨兆军,陈传海,陈菲,等. 数控机床可靠性技术的研究进展[J]. 机械工程学报,2013,20:130-139. YANG ZH J,CHEN CH H,CHEN F,et al.. Progress in the research of reliability technology of machine tools[J]. Chinese Journal of Mechanical,2013,20:130-139.(in Chinese)

张景和,张顺国,赵海潇,等. 大型超精密机床导轨卸荷系统结构设计与测试[J]. 光学精密工程,2007,(9):1383-1390. ZHANG J H,ZHANG SH G,ZHAO H X,et al.. Structure design and test for guide unloading system of large ultra-precision machine[J]. Opt. Precision Eng.,2007,(9):1383-1390.(in Chinese)

陈传海,杨兆军,陈菲,等. 基于Bootstrap-Bayes的加工中心主轴可靠性建模[J]. 吉林大学学报(工学版), 2014,44(1):95-100. CHEN CH H,YANG ZH J, CHEN F,et al.. Reliability modeling of machining center spindle based on Boosttrap-Bayes[J]. Journal of Jilin University(Engineering and Technology Edition),2014,44(1):95-100.(in Chinese)

WANG Y Q,JIA Y ZH,YU J Y,et al.. Failure probabilistic model of CNC lathe[J]. Reliability Engineering and System Safety,1999,65:307-314.

Д Н.Колониус. Прогнози рование нагруж енностис танков[J]. Станки и инструмент,1991,5:10-12.

FLEISCHER J,WIESER J, SCHOPP M,et al.. Availability increase of machine tools through adapted maintenance activities and assembly-specific maintenance intervals[C]. 15th CIRP International Conference on Life Cycle Engineering:Conference Proceedings,2008,388-393.

WANG Y Q,SHEN G X,JIA Y Z. Multidimensional force spectra of CNC machine tools and their applications,part one:force spectra[J]. International Journal of Fatigue,2002,25:1037-1046.

NICOLE A,LEA F,ZILLA S. Review of ranking methods in the data envelopment analysis context[J]. European Journal of Operational Research,2002,140:249-265.

陈传海,杨兆军,陈菲,等. 基于数据包络分析的数控机床故障模式分析[J]. 吉林大学学报(工学版),2013,43(6):1523-1528. CHEN CH H,YANG ZH J, CHEN F,et al.. Failure mode analysis of computer numerical control machine tools based on fuzzy-DEA[J]. Journal of Jilin University(Engineering and Technology Edition),2013,43(6):1523-1528.(in Chinese)

CHARNES A,COOPER W W. Programming with fractional function[J]. Naval Research Logistics Quarterly,1962,9:181-185.

WADE D C,LARRY M S. Data envelopment analysis(DEA)-Thirty years on[J]. European Journal of Operational Research, 2009,192:1-17.

YANG ZH J,CHEN CH H,CHEN F,et al.. Reliability analysis of machining center based on the field data[J]. Maintenance and Reliability,2013,15(2):147-155.

浏览量

361

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

机床主轴热设计研究综述

热电耦合无线传感能量管理系统及其在精密主轴热监测中的应用

基于模糊综合评判法评价发光二极管灯具的可靠性

适用于恶劣环境的MEMS压阻式压力传感器

1/f噪声的精确测量及其在太阳能电池可靠性筛选中的应用