使用分类模型分析斜滚动参数对C60钢件表面质量的影响

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Updated: Jun 8, 2025

Knowledge Based Cloud FE Simulation of Sheet Metal Forming Processes
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Knowledge Based Cloud FE Simulation of Sheet Metal Forming Processes

Published on: December 13, 2016

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Konrad Lis1

  • 1Department of Metal Forming, Mechanical Engineering Faculty, Lublin University of Technology, 20-618 Lublin, Poland.

Materials (Basel, Switzerland)
|November 9, 2024
PubMed
概括

这项研究优化了C60钢件的斜滚动,使用机器学习来预测质量并防止螺旋槽等缺陷. 确定了一些关键参数,以提高表面粗度 (Ra),从而提高钢件的生产效率.

关键词:
这是C60钢.在CNC轮机的轮机.机器学习是机器学习.金属成型加工 金属成型加工粗性 粗性 粗性的曲滚动 曲滚动 滚动阶梯式轴和轴的轴和轴.

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