Development of a nonlinear viscoelastic model for antivibration gloves

Hai Wang; Yumeng Yao

doi:10.1117/12.3046597

27 September 2024 Development of a nonlinear viscoelastic model for antivibration gloves

Hai Wang, Yumeng Yao

Author Affiliations +

Proceedings Volume 13261, Tenth International Conference on Mechanical Engineering, Materials, and Automation Technology (MMEAT 2024); 132610O (2024) https://doi.org/10.1117/12.3046597
Event: 10th International Conference on Mechanical Engineering, Materials, and Automation Technology (MMEAT 2024), 2024, Wuhan, China

Abstract

This study aims to develop a nonlinear viscoelastic model for the anti-vibration (AV) glove. The developed AV glove model will be coupled with a human hand-arm model to predict the vibration transmission from the hand-held tool to the hand-arm system with and without an AV glove. Five AV gloves were selected, namely, Air1, Air2, Gel1, Gel2, and Hybrid. An experiment was designed to measure the force-deflection and force-velocity characteristics of each AV glove at 20Hz and 30Hz. The experimental data were used to identify the parameters of the glove models as a target function. A nonlinear viscoelastic model of each AV glove was developed based on the Bouc-Wen model. The particle swarm optimization (PSO) algorithm was used to determine the parameters of each AV glove model. The results show that R² values are over 0.9, signifying a strong fit of the developed model to experimental data. This study demonstrates that the proposed model can effectively predict the performance of AV gloves, which can be used to couple with the hand-arm system and to further study the effectiveness of AV gloves on vibration isolation from tools to the human hand-arm under different work conditions.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Hai Wang and Yumeng Yao "Development of a nonlinear viscoelastic model for antivibration gloves", Proc. SPIE 13261, Tenth International Conference on Mechanical Engineering, Materials, and Automation Technology (MMEAT 2024), 132610O (27 September 2024); https://doi.org/10.1117/12.3046597

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
7 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Vibration

Viscoelasticity

Data modeling

Modeling

Particle swarm optimization

Deformation

Materials properties

Show All Keywords

Keywords/Phrases

Search In:

Publication Years