Suppr超能文献

压缩载荷下橡胶保险杠超弹性材料模型的预测精度

Prediction Accuracy of Hyperelastic Material Models for Rubber Bumper under Compressive Load.

作者信息

Huri Dávid

机构信息

Department of Mechanical Engineering, Faculty of Engineering, University of Debrecen, H-4028 Debrecen, Hungary.

出版信息

Polymers (Basel). 2024 Sep 7;16(17):2534. doi: 10.3390/polym16172534.

Abstract

Different hyperelastic material models (Mooney-Rivlin, Yeoh, Gent, Arruda-Boyce and Ogden) are able to estimate Treloar's test data series containing uniaxial and biaxial tension and pure shear stress-strain characteristics of rubber. If the rubber behaviour is only determined for the specific load of the product, which, in the case of rubber bumpers, is the compression, the time needed for the laboratory test can be significantly decreased. The stress-strain characteristics of the uniaxial compression test of rubber samples were used to fit hyperelastic material models. Laboratory and numerical tests of a rubber bumper with a given compound and complex geometry were used to determine the accuracy of the material models. Designing rubber products requires special consideration of the numerical discretization process due to the nonlinear behaviours (material nonlinearity, large deformation, connections, etc.). Modelling considerations were presented for the finite element analysis of the rubber bumper. The results showed that if only uniaxial compression test data are available for the curve fitting of the material model, the Yeoh model performs the best in predicting the rubber product material response under compressive load and complex strain state.

摘要

不同的超弹性材料模型(穆尼-里夫林模型、杨模型、根特模型、阿鲁达-博伊斯模型和奥格登模型)能够估算包含橡胶单轴和双轴拉伸以及纯剪切应力-应变特性的特里洛尔试验数据系列。如果仅针对产品的特定载荷(对于橡胶保险杠而言,此特定载荷为压缩载荷)来确定橡胶的行为,那么实验室测试所需的时间可大幅减少。橡胶样品单轴压缩试验的应力-应变特性被用于拟合超弹性材料模型。对具有给定配方和复杂几何形状的橡胶保险杠进行实验室测试和数值测试,以确定材料模型的准确性。由于存在非线性行为(材料非线性、大变形、连接等),设计橡胶产品需要特别考虑数值离散化过程。文中针对橡胶保险杠的有限元分析给出了建模考量。结果表明,如果材料模型的曲线拟合仅可获得单轴压缩试验数据,那么在预测橡胶产品在压缩载荷和复杂应变状态下的材料响应时,杨模型表现最佳。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5861/11398033/943079337888/polymers-16-02534-g0A1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验