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在机械学习模型的使用下,对矩阵复合材料的加工中预测工具磨损

Adam Hamrol1, Maciej Tabaszewski1, Agnieszka Kujawińska1

  • 1Faculty of Mechanical Engineering, Poznan University of Technology, 60-965 Poznań, Poland.

Materials (Basel, Switzerland)
|December 17, 2024
PubMed
概括

这项研究比较了在矩阵复合材料 (AMC) 面加工中工具磨损的诊断模型. 多维模型在预测和分类工具磨损方面提供了更高的准确性,尽管更简单的模型在信号处理方面更可靠.

关键词:
质矩阵复合材料的复合材料诊断模型 诊断模型 诊断模型机器学习是机器学习.工具磨损预测 工具磨损预测

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