Artificial Neural Network Performance Modeling and Evaluation of Additive Manufacturing 3D Printed Parts

• Main Authors: Subramonian, Sivarao, Kadirgama, Kumaran, Mahdi Al-Obaidi, Abdulkareem Sh., Mohd Shukor, Mohd Salleh, Vatesh, Umesh Kumar, Pujari, Satish, Rao, Dharsyanth, Ramasamy, Devarajan
• Format: Article
• Language: English
• Published: ETASR 2023
• Subjects: TJ Mechanical engineering and machinery
• Online Access: http://umpir.ump.edu.my/id/eprint/40734/1/Artificial%20Neural%20Network%20Performance%20Modeling%20and%20Evaluation%20of%20Additive%20Manufacturing%203D%20Printed%20Parts.pdf; http://umpir.ump.edu.my/id/eprint/40734/; https://doi.org/10.48084/etasr.6185

This research article presents a comprehensive study on the performance modeling of 3D printed parts using Artificial Neural Networks (ANNs). The aim of this study is to optimize the mechanical properties of 3D printed components through accurate prediction and analysis. The study focuses on the wid...