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Updated: Jan 16, 2026

Experimental Procedure for Warm Spinning of Cast Aluminum Components
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用机器学习分析合金的热导电性,通过组合和炼过程,使用机器学习

Adnan Roshid Shawon1, Rittika Ghosh1, Md Ashraful Islam2

  • 1Department of Mechanical Engineering, Khulna University of Engineering and Technology, Khulna, Bangladesh.

Scientific reports
|September 29, 2025
PubMed
概括

由于数据有限,预测合金导热率 (TC) 是一个挑战. 这项研究使用了小型数据集的机器学习 (ML),实现了高准确性,并展示了比传统实验更快,更具成本效益的方法.

关键词:
合金是一种合金.贝叶斯的优化是贝叶斯的优化.极端的梯度增强极端的梯度增强机器学习 机器学习导热性 导热性 导热性 导热性 导热性

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