Precision prediction and error propagation model of remanufacturing machine tool assembly process

被引:0
|
作者
Wang Z. [1 ]
Jiang X. [1 ]
Liu W. [1 ]
Shi M. [1 ]
Yang S. [1 ]
Yang G. [1 ]
机构
[1] School of Mechanical Engineering, Shenyang University of Technology, Shenyang
基金
中国国家自然科学基金;
关键词
Assembly error; Error flow correction function; Error propagation model; Precision prediction; Remanufacturing machine tool;
D O I
10.13196/j.cims.2021.05.006
中图分类号
学科分类号
摘要
The remanufactured machine tool is assembled by reusing parts, remanufactured parts and new parts, and its assembly parts have more uncertainty and randomness. To ensure the consistency and reliability of remanufacturing machine assembly precision, a mathematical model of assembly process error transfer should be established to describe the error transmission and accumulation rules of remanufacturing machine assembly process quantitatively. The mathematical mapping relationship between the quality characteristics of the parts, the actual measurement results and the error sources of assembly process during the assembly process of remanufactured machine tool was proposed. An error flow model of the remanufacturing machine's assembly process based on state-space model was also proposed. The variation of part quality characteristics, feature measurement and adjustment deviation of the remanufacturing machine tool assembly process were quantitatively described. On this basis, the error flow correction function was proposed to realize the accuracy prediction, analysis and quality error correction of remanufacturing machine tool. By taking the assembly process of remanufacturing machine headstock as an example, the result showed that the assembly process error could be reduced by the proposed model and correction function effectively. © 2021, Editorial Department of CIMS. All right reserved.
引用
收藏
页码:1300 / 1308
页数:8
相关论文
共 20 条
  • [1] MA Hao, Stream of variation modeling and application of multistage process, (2016)
  • [2] SUN Yunyan, LIU Ying, RAN Yan, Et al., Assembly precision prediction method of numerical control machine tools based on meta-action, Mechanical Science and Technology for Aerospace Engineering, 36, 11, pp. 1734-1739, (2017)
  • [3] HONG Jun, GUO Junkang, LIU Zhigang, Et al., Assembly accuracy prediction and adjustment process modeling of precision machine tool based on state space model, Chinese Journal of Mechanical Engineering, 49, 6, pp. 114-121, (2013)
  • [4] LAWLESS J F, MACKAY R J, ROBINSON J A., Analysis of variation transmission in manufacturing process, Journal of Quality Technology, 31, 2, pp. 143-154, (1999)
  • [5] LEWIS R A., Optimization and variation reduction in quality, Technometrics, 35, 1, pp. 92-93, (2012)
  • [6] ZUO Xiaoyan, LI Beizhi, YANG Jianguo, Error sensitivity analysis and precision distribution for multi-operation machining processes based on error propagation model, The International Journal of Advanced Manufacturing Technology, 86, 1-4, pp. 269-280, (2016)
  • [7] HUANG Qiang, ZHANG Genbao, Precision design for machine tool based on error prediction, Chinese Journal of Mechanical Engineering, 26, 1, pp. 151-157, (2013)
  • [8] YAN Yan, WANG Ge, ZHANG Faping, Et al., Precision assembly geometric error sensitivity analysis based on the error transformation model for precision assembly, Transactions of Beijing Institute of Technology, 37, 7, pp. 682-686, (2017)
  • [9] LIU Mingzhou, SUN Zhijun, GE Maogen, Et al., Remanufacturing quality optimization method of complex mechanical products based on assembly deviation degree, China Mechanical Engineering, 25, 11, pp. 1473-1477, (2014)
  • [10] LIU Mingzhou, WANG Qiang, ZHAO Zhibiao, Et al., Dynamic assembly process quality control system for mechanical products remanufacturing, Computer Integrated Manufacturing Systems, 20, 4, pp. 817-824, (2014)