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Updated: Sep 14, 2025

Surrogate Model Development for Digital Experiments in Welding
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基于机器学习的模型来预测·米塞斯应力和芯片减少系数,这些系数是在EN36C钢的干过程中开发的

Vishal Mishra1, Nikhil Bharat1, Kalyan Chakraborty2

  • 1Centre for Additive Manufacturing, Chennai Institute of Technology, Chennai, Tamil Nadu, India.

Science progress
|July 22, 2025
PubMed
概括

优化EN36C钢的干包括调整切割速度,料率和切割深度. 高切割速度和低料率促进了连续的芯片,减少了压力和提高了表面质量.

关键词:
一个年龄,一个年龄.这是一个ANOVA.芯片减小系数 芯片减小系数转动 转动 转动 转动·迈塞斯强调强调.

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