These models are the backbone of the AI control system, which is a heuristic model predictive control (MPC) method. This method was applied to find new sets of machine parameters during production to control the specified part quality feature. The control system and predictive models were ...
inventions Article Development of a Bridge Inspection Robot Capable of Traveling on Splicing Parts Yogo Takada * ID , Satoshi Ito and Naoto Imajo Department of Mechanical and Physical Engineering, Osaka City University, Osaka 558-8585, Japan; ito_satoshi_01@yahoo.co.jp (S.I.); efil.ym.yo...
Journal of Manufacturing and Materials Processing Article Digital Manufacturing Process Chain for One-Off Replacement Parts: A Precision Casting Case Study George-Christopher Vosniakos 1,* ID , Stefanos Michael 1 and Anastasia Vasileiou 2 ID 1 School of Mechanical Engineering, National Technical ...
materials Article Rheological and Curing Behavior of Acrylate-Based Suspensions for the DLP 3D Printing of Complex Zirconia Parts Dmitrii A. Komissarenko 1,* , Petr S. Sokolov 1 , Anastasiya D. Evstigneeva 1, Irina A. Shmeleva 1 and Alexey E. Dosovitsky 2 1 NRC "Kurchatov Institute"-...
The study provides more insights into the usage of a single artificial neural network for the optimization of multiple properties of printed metal parts. Citation: Theeda, S.; Jagdale, S.H.; Ravichander, B.B.; Kumar, G. Optimization of Process Parameters in Laser Powder Bed Fusion of SS ...