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Research on optimization method of stainless steel sawing process parameters based on multi-tooth sawing force prediction model

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Abstract

In this study, a multi-tooth sawing force prediction model is proposed for the stainless steel sawing process, combined with the classical cutting theory of band saw and the introduction of tooth equivalent cutting width. Through the numerical simulation of sawing process and sensitivity analysis method, the influence law of feed speed and cutting speed on cutting force was analyzed. A sawing process parameter optimization design model with sawing force and sawing efficiency as the optimization objectives was established and solved by multi-objective optimization algorithm to determine the optimal combination of coordinated sawing force and sawing efficiency process parameters. The stainless steel sawing test results show that the multi-tooth sawing force prediction model and the experimental results match; the maximum error does not exceed 6%, making it better to achieve the prediction of sawing force in high-frequency strong impact conditions. With the optimized design of process parameters, the sawing force decreased by a maximum 20.43%, and the sawing efficiency increased by a maximum 54.72%. This study provides a reference for metal sawing force prediction and process parameter optimization, and also offers theoretical guidance for developing high-end sawing equipment.

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Custom codes were implemented in the software as explained in details in the manuscript.

Funding

The authors received financial support from the projects of the Natural Science Foundation of China (grant number 51705463).

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Authors and Affiliations

  1. College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou, 310014, Zhejiang, China

    Pengcheng Ni, Yangyu Wang (CA), Dapeng Tan, ZhenZhen Chen & Zheng Wang

  2. Key Laboratory of Special Purpose Equipment and Advanced Processing Technology, Ministry of Education, Zhejiang University of Technology, Hangzhou, 310014, Zhejiang, China

    Pengcheng Ni, Yangyu Wang (CA), Dapeng Tan, ZhenZhen Chen & Zheng Wang

  3. Zhejiang Sany Equipment Co., Ltd., 313000, Huzhou, China

    Yongle Zhang

  4. Hangzhou Wheeler General Machinery Co., Ltd., Hangzhou, 310000, China

    Chunhong Yi, Lu Shao & Yanhui Lu

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  1. Pengcheng Ni
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Correspondence to Yangyu Wang (CA).

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Ni, P., Wang (CA), Y., Tan, D. et al. Research on optimization method of stainless steel sawing process parameters based on multi-tooth sawing force prediction model. Int J Adv Manuf Technol 128, 4513–4533 (2023). https://doi.org/10.1007/s00170-023-12051-3

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