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Analysis and optimization of tolerance design for an internal thread grinder

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Abstract

Machining accuracy is an important index for evaluating the performance of machine tools. To improve the machining accuracy and efficiency of an internal thread grinding machine and reduce the cost, this paper carries out a forward design of the tolerance of the tool motion axis based on the required precision of the workpiece. Using the parameters of a nut raceway, a calculation model of a sand profile under ideal conditions is established under the principle of spiral surface machining and gear meshing. The tolerance criteria are used to evaluate the machining accuracy through multi-body system theory, Monte Carlo simulation, and least squares fitting. Global sensitivity analysis based on variance is used to identify the key factors influencing error. Finally, statistical analysis is completed with the Monte Carlo method to obtain the reliability of machining accuracy. The geometric design is optimized according to reliability to ensure that the tolerance zone meets the required machining accuracy. The feasibility of this method is verified by designing 30 error tolerance zones for an SCS-180 T grinder.

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Funding

This work was supported by the National Science and Technology Major Project of China (Grant No. TC210H038-002) and the National Natural Science Foundation of China (Grant No. 51905274).

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All authors contributed to the study conception and design. Material preparation, data collection, and analysis were performed by Qiao Jiang, Yun Zou, Sen Huang, and Qun-Chao Qian. The first draft of the manuscript was written by Qiao Jiang. Chang-Guang Zhou and Yi Ou commented and revised on previous versions of the manuscript. All authors read and approved the final manuscript.”

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Correspondence to Yi Ou or Chang-Guang Zhou.

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Jiang, Q., Ou, Y., Zou, Y. et al. Analysis and optimization of tolerance design for an internal thread grinder. Int J Adv Manuf Technol 125, 5369–5383 (2023). https://doi.org/10.1007/s00170-023-11036-6

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  • DOI: https://doi.org/10.1007/s00170-023-11036-6

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