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A SVM-based design method for cutting edge profile stability of large-pitch thread turning tool considering vibration

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Abstract  

The violent vibrations generated during turning large-pitch screws seriously affect the tool wear, which reduces the cutting edge profile stability and affects the surface quality of the threads. We propose a new SVM-based design method for cutting edge profile stability of large-pitch thread turning tool considering the influence of vibration, and the model has also been validated experimentally. The simulation model of cutting process considering the influence of cutting vibration was established by simulating tool trajectory, and the influence of edge parameters and tool structure parameters on cutting edge profile stability was analyzed. Then, the data obtained from finite element simulation are used for training to establish the prediction model of cutting edge profile stability based on SVM. The average errors of cutting force, cutting temperature, and tool wear are 3.14%, 2.33%, and 3.91%, respectively, which proves the effectiveness of the prediction model. Furthermore, the optimization objective functions of blunt and chamfered edges were established, and the cutting parameters and tool structure parameters were optimized based on Artificial Bee Colony Algorithm. Results indicate that cutting edge profile-stabilized tool can be obtained by this method. The study builds a theoretical basis for suppressing vibration during the cutting process and provides technical assistance for tool design of different cutting edges.

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Acknowledgements

The authors gratefully acknowledge the Harbin University of Science and Technology, the Fundamental Research Foundation for Universities of Heilongjiang Province, and the National Nature Science Foundation of China, for providing facilities and funds under research grants KYYWF-0349 and 5157518 to conduct this research.

Funding

This work is supported by the Fundamental Research Foundation for Universities of Heilongjiang Province (KYYWF-0349) and the National Nature Science Foundation of China (51575148).

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Authors and Affiliations

  1. Key Laboratory of Advanced Manufacturing and Intelligent Technology, Ministry of Education, Harbin University of Science and Technology, Harbin, 150080, People’s Republic of China

    Xiangfu Fu, Kangnan Li, Zhe Li & Xiurui Wang

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  1. Xiangfu Fu
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  2. Kangnan Li
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  3. Zhe Li
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  4. Xiurui Wang
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Contributions

Fu and Li were responsible for the literature study, data analysis, and writing the paper. Fu and Li were the supervisor of this work, who proposed the research idea, technical scheme, and all needed support conditions. They also participated in data analysis and were responsible for completing the article. Wang was involved in the discussion and data analysis. Li and Wang were involved in the discussion and significantly contributed to making the final draft of the article. All the authors read and approved the final manuscript.

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Correspondence to Zhe Li.

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Fu, X., Li, K., Li, Z. et al. A SVM-based design method for cutting edge profile stability of large-pitch thread turning tool considering vibration. Int J Adv Manuf Technol 125, 4529–4547 (2023). https://doi.org/10.1007/s00170-023-10985-2

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  • DOI: https://doi.org/10.1007/s00170-023-10985-2

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