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Updated: Feb 11, 2026

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使用统计和机器学习技术,优化和预测Al 6061 T6的摩擦接中的峰值温度

Assad Anis1, Muhammad Shakaib2,3, Muhammad Sohail Hanif2,4

  • 1Department of Automotive and Marine Engineering, NED University of Engineering and Technology, Karachi, Pakistan. assadanis@neduet.edu.pk.

Scientific reports
|February 9, 2026
PubMed
概括

使用机器学习的Al 6061 T6合金的优化摩擦接 (FSW) 准确地预测了峰值温度. 这种方法提高了接质量,并通过控制热量来促进可持续制造.

关键词:
这是一个ANOVA.-6061-T6合金是一种合金.背向传播的神经网络 (BPNN)有限元素分析 (FEA) 是一种分析方法.摩擦接接 (FSW) 是一种塔古奇的方法 塔古奇方法过渡的温度是过渡的温度.接参数 接参数

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