A Bayesian regularization network approach to thermal distortion control in 3D printing

• Main Authors: Xie, Yuxi, Li, Boyuan, Wang, Chao, Zhou, Kun, Wu, C. T., Li, Shaofan
• Other Authors: School of Mechanical and Aerospace Engineering
• Format: Article
• Language: English
• Published: 2023
• Subjects: Engineering::Mechanical engineering; 3D Printing; Bayesian Learning
• Online Access: https://hdl.handle.net/10356/172254
• Institution: Nanyang Technological University

In this work, a Bayesian Regularization Network based Geometric Deviation Control (BRN-GDC) algorithm is developed to mitigate thermal distortion in 3D printing. Inspired by points registration in computer vision and function approximation theory, the Bayesian regularization network method is used t...