Predictive modeling of dimensional accuracies in 3D printing using artificial neural network

• Main Authors: Subramonian, Sivarao, Kumaran, K., Dharsyanth, R., Md Ali, Mohd Amran, Salleh, Mohd Shukor, Pujari, Satish, Ramasamy, Devarajan, Vatesh, Umesh Kumar, Mahdi Al-Obaidi, Abdulkareem Sh, Ramesh, S., Lee, Kit Yee Sara
• Format: Article
• Language: English
• Published: Taylor's University 2023
• Online Access: http://eprints.utem.edu.my/id/eprint/27419/2/0061718122023.PDF; http://eprints.utem.edu.my/id/eprint/27419/; https://jestec.taylors.edu.my/Vol%2018%20Issue%204%20August%202023/18_4_24.pdf
• Institution: Universiti Teknikal Malaysia Melaka

Additive manufacturing, particularly Fused Deposition Modeling (FDM) using three-dimensional (3D) printing, has revolutionized the manufacturing industry by offering design flexibility, customization options, affordability, and high printing speed. However, improper selection of process parameters...