Innovative Design Method S for the Geometric Accuracy of Machine Tool Guide Rail Oriented to Spatial Accuracy

26 Pages Posted: 13 Dec 2023

See all articles by Sitong Wang

Sitong Wang

affiliation not provided to SSRN

Gaiyun He

affiliation not provided to SSRN

Dawei Zhang

Tianjin University

Faze Chen

Tianjin University

Chenglin Yao

affiliation not provided to SSRN

Yichen Yan

affiliation not provided to SSRN

Abstract

The design of geometric accuracy in machine tools is crucial for enhancing machining precision. This study introduces geometric accuracy design methods that are oriented to spatial accuracy to guide the assembly of machine tool guide rail. Firstly, based on screw theory, a spatial error model for the machine tool is constructed, elucidating the relationship between spatial error and geometric error. Secondly, an error transmission model linking the guide rail installation error with the geometric error of moving parts is established, predicated on the rigid body hypothesis. This model reveals the mechanism of the error homogenisation in the machine tool feed system. Then, novel geometric accuracy design methods oriented to spatial accuracy are proposed catering to both non-morphological and morphological design requirements. Finally, the effectiveness and universality of the design methods are verified by simulations and experiments. The results show that the spatial accuracy in more than 95.62% of the working space is less than 15μm, and the design results outperform the experimental results in terms of the body diagonal spatial error.

Keywords: Spatial accuracy, Geometric accuracy, Error homogenisation mechanism, Accuracy design methods, Optimisation algorithm

Suggested Citation

Wang, Sitong and He, Gaiyun and Zhang, Dawei and Chen, Faze and Yao, Chenglin and Yan, Yichen, Innovative Design Method S for the Geometric Accuracy of Machine Tool Guide Rail Oriented to Spatial Accuracy. Available at SSRN: https://ssrn.com/abstract=4662823 or http://dx.doi.org/10.2139/ssrn.4662823

Sitong Wang

affiliation not provided to SSRN ( email )

No Address Available

Gaiyun He (Contact Author)

affiliation not provided to SSRN ( email )

No Address Available

Dawei Zhang

Tianjin University ( email )

92, Weijin Road
Nankai District
Tianjin, 300072
China

Faze Chen

Tianjin University ( email )

92, Weijin Road
Nankai District
Tianjin, 300072
China

Chenglin Yao

affiliation not provided to SSRN ( email )

No Address Available

Yichen Yan

affiliation not provided to SSRN ( email )

No Address Available

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