Finite Element Analysis of Compressive Stress-Strain Relations in Elastic Materials for Seat Foundation

Authors

  • Weikang Li Department of Furniture Design and Engineering, Zhejiang A&F University, Hangzhou, China
  • Xiaohong Yu Department of Furniture Design and Engineering, Zhejiang A&F University, Hangzhou, China
  • Xiaoyi Hu Department of Furniture Design and Engineering, Zhejiang A&F University, Hangzhou, China
  • Onder Tor Department of Forest Industry Engineering, Kastamonu University, Kastamonu, Turkey
  • Jilei Zhang Department of Sustainable Bioproducts, Mississippi State University, Starkville, MS, USA
  • Ting Zhang Research and Development Center, Xilinmen Furniture Co., Ltd., Shaoxing, China
  • Wei Qi Department of Furniture Design and Engineering, Zhejiang A&F University, Hangzhou, China
  • Lingling Hu Department of Furniture Design and Engineering, Zhejiang A&F University, Hangzhou, China

Keywords:

Stress-strain, Seat foundation, Ogden Foam, Finite element analysis

Abstract

Elastic materials for seat foundations come in a variety of materials, shapes, and dimensions. However, it is difficult to measure the stress-strain relationships of many elastic material combinations by conventional uniaxial compression tests. This study investigated the stress-strain relations of elastic material combinations for foam foundations using finite element analysis (FEA). First, the stress-strain relations of single-layer polymer foams and a combination of double-layer polymer foams with covering were quantified by uniaxial compression tests, and axial tensile tests quantified the properties of the covering material of the fabric. Then, based on the Ogden foam and Ogden constitutive equation of Ansys Workbench 19.2, the test data of single-layer polymer foams and covering were fitted by a non-linear least square method, and a combination of double-layer polymer foams with the covering is predicted by FEA. When the strain was 10% to 65%, the stress error between FEA and test results dropped from 95.68% to -5.08%.

Downloads

Published

2023-09-29

Issue

Section

Research Article or Brief Communication