Non-parametric multiple inputs prediction model for magnetic field dependent complex modulus of magnetorheological elastomer

• Main Authors: Saharuddin, Kasma Diana, Mohammed Ariff, Mohd. Hatta, Bahiuddin, Irfan, Ubaidillah, Ubaidillah, Mazlan, Saiful Amri, Abdul Aziz, Siti Aishah, Nazmi, Nurhazimah, Abdul Fatah, Abdul Yasser, Shapiai, Mohd. Ibrahim
• Format: Article
• Language: English
• Published: Nature Research 2022
• Subjects: TJ Mechanical engineering and machinery
• Online Access: http://eprints.utm.my/103975/1/MohdHattaMohammad2022_NonParametricMultipleInputsPrediction.pdf; http://eprints.utm.my/103975/; http://dx.doi.org/10.1038/s41598-022-06643-4
• Institution: Universiti Teknologi Malaysia

This study introduces a novel platform to predict complex modulus variables as a function of the applied magnetic field and other imperative variables using machine learning. The complex modulus prediction of magnetorheological (MR) elastomers is a challenging process, attributable to the material’s...