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通过可解释机器学习获得基于挤出的增材制造过程知识

Lukas Pelzer1, Tobias Schulze2, Daniel Buschmann2

  • 1Institute for Plastics Processing at RWTH Aachen University, 52074 Aachen, Germany.

Polymers
|September 9, 2023
PubMed
概括

本研究使用可解释的机器学习来理解增材制造 (AM) 过程参数. 它识别了最佳设置和参数相互作用,使得更好的零件质量不需要复杂的分析模型.

关键词:
添加剂制造 添加剂制造 添加剂制造重要的特征 重要的特征 重要的特征融合层建模 融合层建模可以解释的机器学习.机器学习 机器学习过程的表征过程的表征.过程知识知识过程知识.过程优化优化过程优化

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Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. Consider a lifting tong carrying a 100 kg load. It comprises movable sections DAF and CBG linked together with member AB.
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A toggle clamp is a mechanical device commonly used for holding and clamping objects in various applications, such as woodworking, metalworking, and assembly operations. Consider a toggle clamp subjected to a force of 200 N at the handle. The vertical clamping force can be calculated, provided the dimensions of the toggle clamp are known.
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