A significant challenge in quality control of an AM system is the model specification for different computer-aided design products manufactured by constituent AM processes. Current machine learning techniques can require substantial user inputs and efforts to implement in practice.

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Automated Model Generation Via Principled Design of Neural Networks for AM Systems

  • Qiang Huang

摘要

A significant challenge in quality control of an AM system is the model specification for different computer-aided design products manufactured by constituent AM processes. Current machine learning techniques can require substantial user inputs and efforts to implement in practice.