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Author:

Fan, Jinwei (Fan, Jinwei.) | Xie, Bentian (Xie, Bentian.) | Ye, Qian (Ye, Qian.) | Tao, Haohao (Tao, Haohao.)

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EI Scopus

Abstract:

In order to solve the problem of precision optimization design of CNC machine tools, the spatial motion error model of CNC internal cylindrical compound grinder is established based on the theory of multi-body system based on the analysis of the structural parameters and motion form of the grinder. Based on the space motion error model is established, using the theory of interval mathematics, defines the interval expansion factor, study the grinder involved 36 geometric error of space motion error sensitivity of the interval, the interval sensitivity analysis results are represented as vectors form, get along with the change of the grinder movement axis, the effect of various geometric error on space motion error. The maximum values of each error sensitivity index in the whole region are defined, and the normalized results of the sensitivity analysis of the maximum interval in the whole region are obtained. Finally, the three coordinate measuring machine is used to carry out two different compensation strategies on the grinding machine, and the roundness errors of the three heights of the two shaft parts are measured respectively, which verified the correctness of the sensitivity analysis method proposed, and laid a foundation for the subsequent precision optimization design. © 2022 Editorial Office of Chinese Journal of Mechanical Engineering. All rights reserved.

Keyword:

Vector spaces Grinding (machining) Sensitivity analysis Error compensation Grinding machines Computer control systems

Author Community:

  • [ 1 ] [Fan, Jinwei]Department of Materials and Manufacturing, Beijing University of Technology, Beijing; 100124, China
  • [ 2 ] [Xie, Bentian]Department of Materials and Manufacturing, Beijing University of Technology, Beijing; 100124, China
  • [ 3 ] [Ye, Qian]Department of Materials and Manufacturing, Beijing University of Technology, Beijing; 100124, China
  • [ 4 ] [Tao, Haohao]Department of Materials and Manufacturing, Beijing University of Technology, Beijing; 100124, China

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Source :

Journal of Mechanical Engineering

ISSN: 0577-6686

Year: 2022

Issue: 11

Volume: 58

Page: 220-230

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 13

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