Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Hysteresis Behavior Modeling of Magnetorheological Elastomers Under Impact Loadings Using MultiLayers Exponential Based Preisach Model Enhanced With Particle Swarm Optimization

Version 1 : Received: 13 April 2023 / Approved: 13 April 2023 / Online: 13 April 2023 (07:36:55 CEST)

A peer-reviewed article of this Preprint also exists.

Mohd. Alawi, A.H.; Hudha, K.; Kadir, Z.A.; Amer, N.H. Hysteresis Behavior Modeling of Magnetorheological Elastomers under Impact Loading Using a Multilayer Exponential-Based Preisach Model Enhanced with Particle Swarm Optimization. Polymers 2023, 15, 2145. Mohd. Alawi, A.H.; Hudha, K.; Kadir, Z.A.; Amer, N.H. Hysteresis Behavior Modeling of Magnetorheological Elastomers under Impact Loading Using a Multilayer Exponential-Based Preisach Model Enhanced with Particle Swarm Optimization. Polymers 2023, 15, 2145.

Abstract

Magnetorheological elastomers (MREs) are a type of smart material that can change their mechanical properties in response to external magnetic fields. These unique properties make them ideal for various applications, including vibration control, noise reduction, and shock absorption. This paper presents an approach for modeling the impact behavior of MREs. The proposed model uses a combination of exponential functions arranged in a multi-layer Preisach model to capture the nonlinear behavior of MREs under impact loads. The model is trained using particle swarm optimization (PSO) and validated using experimental data from drop impact tests conducted on MRE samples under various magnetic field strengths. The results demonstrate that the proposed model can accurately predict the impact behavior of MREs, making it a useful tool for designing MRE-based devices that require precise control of their impact response. The model's response closely matches the experimental data, with a maximum prediction error of 10% or less. Furthermore, the interpolated model's response shows good agreement with the experimental data, with a maximum percentage error of less than 8.5%.

Keywords

magnetorheological; elastomers; hysteresis behavior; impact loading; preisach model; particle swarm optimization; exponential function.

Subject

Engineering, Mechanical Engineering

Comments (0)

We encourage comments and feedback from a broad range of readers. See criteria for comments and our Diversity statement.

Leave a public comment
Send a private comment to the author(s)
* All users must log in before leaving a comment
Views 0
Downloads 0
Comments 0
Metrics 0


×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.
We use cookies on our website to ensure you get the best experience.
Read more about our cookies here.