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Updated: Jan 16, 2026

Measurement of Outgassing Rates of Steels
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基于机器学习的预测碳化钢中的碳度

Yingtao Zhang1, Zirong Tang2, Qing Yin1

  • 1College of Mechanical & Electrical Engineering, Hohai University, Changzhou, 213022, China.

Scientific reports
|September 29, 2025
PubMed
概括

这项研究引入了一种高效的机器学习方法,用于预测碳化部件的表面碳度. 开发的反向传播神经网络 (BPNN) 方法准确预测机械性能,提高耐磨性和疲劳寿命.

关键词:
20Cr2Ni4A 的时间碳化燃烧是一种燃烧.平均班次的聚类.数字计算的数值计算方法粘土模具算法 粘土模具算法

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