Precision allocation optimization design of five axis machine tool based on second-order moment error model

XIN Shihao; ZHANG Liqiang; LI Yuhao

doi:10.12299/jsues.21-0274

Volume 36 Issue 3

Jun. 2022

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Article Navigation > Journal of Shanghai University of Engineering Science > 2022 > 36(3): 272-277

XIN Shihao, ZHANG Liqiang, LI Yuhao. Precision allocation optimization design of five axis machine tool based on second-order moment error model[J]. Journal of Shanghai University of Engineering Science, 2022, 36(3): 272-277. doi: 10.12299/jsues.21-0274

Citation:

XIN Shihao, ZHANG Liqiang, LI Yuhao. Precision allocation optimization design of five axis machine tool based on second-order moment error model[J]. Journal of Shanghai University of Engineering Science, 2022, 36(3): 272-277. doi: 10.12299/jsues.21-0274

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Precision allocation optimization design of five axis machine tool based on second-order moment error model

doi: 10.12299/jsues.21-0274

1.
School of Mechanical and Automotive Engineering, Shanghai University of Engineering Science, Shanghai 201620, China
2.
Shanghai TOP Numerical Control Technology Co., Ltd., Shanghai 201100, China

Received Date: 2021-12-01
Publish Date: 2022-06-30

Abstract

Abstract

During the process of machine tool precision optimization design, it often regards the error as constant and ignores error distribution in the traditional precision allocation. Based on the analysis of traditional precision allocation method, a precision allocation optimization design of five axis machine tool based on second-order moment error model was proposed to this. The second-order matrix operation rules were defined and the machine tool accuracy index was expressed by the second-order matrix, the error model of five axis machine tool with distribution was established and the multi-objective optimization of the accuracy index was solved by genetic algorithm to obtain the Pareto optimal solution set. Taking C100P five axis machine tool as an example, the feasibility of this optimization design method was verified. Compared with the traditional accuracy allocation method, it can reduce the assembly cost on the premise of ensuring the accuracy requirements of the machine tool.
- probability distribution,
- second-order moment,
- error transfer model,
- accuracy index,
- multi-objective optimization

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References(10)

References

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