Research on Intelligent Prediction of Surface Roughness in Cutting 42CrMo Steel by using Particle Swarm Optimization-based Support Vector Machine-Reference-Cited by-同舟云学术

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Research on Intelligent Prediction of Surface Roughness in Cutting 42CrMo Steel by using Particle Swarm Optimization-based Support Vector Machine

Published:2024-07-17 Issue: Volume: Page:
ISSN:2234-7593
Container-title:International Journal of Precision Engineering and Manufacturing
language:en
Short-container-title:Int. J. Precis. Eng. Manuf.

Author:

Zhao HaiYue,Cao Yan^ORCID,Sergey Gorbachev,Kuzin Victor,Du Jiang,He WeiLiang

Funder

National Natural Science Foundation of China

Xi’an Science and Technology Project

Research on the development of practical skills of professional degree students of Chinese Society for Degree and Postgraduate Education

Shaanxi Innovation Capability Support Plan

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s12541-024-01077-6.pdf

Reference55 articles.

1. Yingtao, Z., Yongliang, M., Gang, W., Xiulin, J., & Zhichao, L. (2022). Experimental study on the wear properties of 42CrMo steel with different microstructures and T15 laser cladding. Journal of Materials Engineering and Performance, 31, 4232–4241. https://doi.org/10.1007/s11665-021-06495-5

2. Dong, J., et al. (2020). Fatigue crack propagation experiment and numerical simulation of 42CrMo steel. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 234, 2852–2862. https://doi.org/10.1177/0954406220910458

3. Li, X., Wang, R., Wang, Q., Guo, J., & Xian, R. (2021). Scanning electron beam polishing and defect analysis of 65 steel. Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms, 490, 34–38. https://doi.org/10.1016/j.nimb.2020.11.015

4. Sui, G., et al. (2023). Ratchetting-fatigue behavior of a 42CrMo steel under near-yield mean stress. International Journal of Mechanical Sciences, 247, 108166. https://doi.org/10.1016/j.ijmecsci.2023.108166

5. Terres, M. A., Mohamed, S. B., & Sidhom, H. (2010). Influence of ion nitriding on fatigue strength of low-alloy (42CrMo4) steel: Experimental characterization and predictive approach. International Journal of Fatigue, 32, 1795–1804. https://doi.org/10.1016/j.ijfatigue.2010.04.004

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