Since 1963
ARTICLE
Improved hyperelastic material characterization using measurement data pre-processing
1
eCon Engineering Ltd, Budapest, Hungary
2
Department of Applied Mechanics, Faculty of Mechanical Engineering, Budapest University of Technology and Economics, Budapest, Hungary
These authors had equal contribution to this work
Submission date: 2024-12-14
Final revision date: 2025-03-13
Acceptance date: 2025-05-19
Online publication date: 2025-06-25
Corresponding author
KEYWORDS
TOPICS
ABSTRACT
Mechanical characterization of elastomers is a long-studied but still challenging area. Finite element solvers offer a great variety of hyperelastic models; however, no straightforward selection process is provided. This paper presents a methodology for high-fidelity hyperelastic parameter
fitting tailored for elastomers. One of its main components is a pre-processing module, which helps select the most suitable model based on all information extractable from the measured stress-strain curves. In this contribution, the concept of the pre-processing module is presented, while its efficiency is demonstrated through benchmark fitting processes using the Treloar dataset and an experimental dataset of an nitril butadiene rubber (NBR) specimen.
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| eISSN: | 2543-6309 |
| ISSN: | 1429-2955 |
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