A comparative study on various ANN optimization algorithms for magnetorheological elastomer carbonyl iron particle concentration estimation

• Main Authors: Kasma Diana, Saharuddin, Mohd Hatta, Mohammed Ariff, Bahiuddin, Irfan, Nurhazimah, Nazmi, Mohd Azizi, Abdul Rahman, Mohd Ibrahim, Shapiai, Fauzan, Ahmad, Sarah Atifah, Saruchi
• Format: Article
• Language: English
• Published: Penerbit Akademia Baru 2024
• Subjects: T Technology (General); TA Engineering (General). Civil engineering (General); TJ Mechanical engineering and machinery; TK Electrical engineering. Electronics Nuclear engineering; TS Manufactures
• Online Access: http://umpir.ump.edu.my/id/eprint/41685/1/A%20comparative%20study%20on%20various%20ANN%20optimization%20algorithms%20for%20magnetorheological.pdf; http://umpir.ump.edu.my/id/eprint/41685/; https://doi.org/10.37934/armne.16.1.124133; https://doi.org/10.37934/armne.16.1.124133

Estimation particle composition such as particle shape, size, and concentration are crucial prior to the fabrication process of magnetorheological elastomer (MRE) to avoid process repetition due to inaccurate formulation. Currently, most of MRE prediction model were purposely used to predict the rhe...