东北大学学报(自然科学版) ›› 2021, Vol. 42 ›› Issue (5): 693-699.DOI: 10.12068/j.issn.1005-3026.2021.05.013

• 机械工程 • 上一篇    下一篇

细长轴车削加工误差可靠性灵敏度分析

丁鹏飞, 王昌利, 黄贤振, 李禹雄   

  1. (东北大学 机械工程与自动化学院, 辽宁 沈阳110819)
  • 修回日期:2020-07-23 接受日期:2020-07-23 发布日期:2021-05-20
  • 通讯作者: 丁鹏飞
  • 作者简介:丁鹏飞(1996-),男,辽宁朝阳人,东北大学博士研究生; 黄贤振(1982-),男,山东定陶人,东北大学教授,博士生导师.
  • 基金资助:
    基金项目;(半空) 基金项目.国家自然科学基金资助项目(51975110); “兴辽英才计划”项目(XLYC1907171); 中央高校基本科研业务费专项资金资助项目(N2003005).

Reliability Sensitivity Analysis of Turning Error for Slender Shaft

DING Peng-fei, WANG Chang-li, HUANG Xian-zhen, LI Yu-xiong   

  1. School of Mechanical Engineering & Automation, Northeastern University, Shenyang 110819, China.
  • Revised:2020-07-23 Accepted:2020-07-23 Published:2021-05-20
  • Contact: HUANG Xian-zhen
  • About author:-
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摘要: 车削加工参数的随机性会影响直径误差,因此,本文提出一种细长轴直径误差可靠性灵敏度分析方法.通过剪切区模型和几何分析法建立直径误差模型,采用Kriging方法重构细长轴车削加工误差与切削参数的函数关系,然后采用蒙特卡罗方法进行可靠性灵敏度分析,据此评价各参数对直径误差的影响程度.研究结果表明:切削速度、刀具前角和直径增加,系统可靠性增高;切削深度、切削宽度、刀架与刀具间距离和轴的长径比增加,系统可靠性降低.研究结果能为降低车削加工细长轴直径误差提供理论依据.

关键词: 细长轴加工;切削力;直径误差;Kriging;可靠性灵敏度

Abstract: The randomness of turning parameters will affect the diameter error. So, a reliability sensitivity analysis method for the diameter error of slender shaft is proposed. The shear zone model and geometric analysis method are used to establish the diameter error model. Kriging method is used to reconstruct the functional relationship between the machining error and the cutting parameters of slender shaft. The reliability sensitivity analysis is carried out by using the Monte Carlo method, and the influence degree of each parameter on the diameter error is evaluated. The results show that the system reliability increases with the increasing of cutting speed, tool rake angle and diameter, while it decreases with the increasing of cutting depth, cutting width, distance between tool holder and tool, and length diameter ratio of the slender shaft. The research results can provide theoretical basis for reducing the diameter error of slender shaft.

Key words: slender shaft machining; cutting force; diameter error; Kriging; reliability sensitivity

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