Non-parametric multiple inputs prediction model for magnetic field dependent complex modulus of magnetorheological elastomer
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 …
the applied magnetic field and other imperative variables using machine learning. The …
A Comparative Study on Various ANN Optimization Algorithms for Magnetorheological Elastomer Carbonyl Iron Particle Concentration Estimation
KD Saharuddin, MHM Ariff, I Bahiuddin… - Journal of Advanced …, 2024 - akademiabaru.com
Estimation particle composition such as particle shape, size, and concentration are crucial
prior to the fabrication process of magnetorheological elastomer (MRE) to avoid process …
prior to the fabrication process of magnetorheological elastomer (MRE) to avoid process …
Comparative study on the machine learning-based techniques for magnetorheological elastomer dynamic properties prediction
KD Saharuddin, MHM Ariff, I Bahiuddin… - AIP Conference …, 2024 - pubs.aip.org
Magnetorheological elastomers (MRE) have gained popularity due to their ability to control
viscoelastic properties by varying the strength of the magnetic field. Due to the obvious …
viscoelastic properties by varying the strength of the magnetic field. Due to the obvious …