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在压缩负荷下,保险的超弹性材料模型的预测准确性
1Department of Mechanical Engineering, Faculty of Engineering, University of Debrecen, H-4028 Debrecen, Hungary.
Polymers
|September 14, 2024
概括
对于产品设计,Yeoh高弹性模型只使用单轴压缩数据准确预测材料反应. 这简化了实验室测试,并增强了保险的有限元分析.
科学领域:
- 材料科学 材料科学 材料科学
- 机械工程 机械工程
- 计算力学 计算力学 计算力学
背景情况:
- 像Mooney-Rivlin,Yeoh,Gent,Arruda-Boyce和Ogden这样的超弹性材料模型可以模拟在各种负载下的应力-应变行为.
- 用于产品设计的的特征通常涉及在单轴和双轴张力和纯切割条件下进行广泛的测试.
研究的目的:
- 评估不同超弹性模型在预测压缩下的行为方面的有效性,特别是保险.
- 确定仅使用单轴压缩数据的简化实验室测试是否能够充分告知产品设计的材料模型选择.
- 为了评估这些模型在复杂的制品几何形状的有限元分析中的准确性.
主要方法:
- 通过样品的单轴压缩试验获得的应力-张力数据,拟合各种超弹性材料模型 (Mooney-Rivlin,Yeoh,Gent,Arruda-Boyce,Ogden).
- 在保险上进行实验室和数值测试,该保险具有定义的复合物和复杂几何.
- 实施有限元分析 (FEA) 来建模保险的行为,考虑到材料的非线性和大变形.
主要成果:
- 仅配备单轴压缩数据时,Yeoh高弹性材料模型在预测制品在压缩负荷和复杂应变状态下的响应方面表现出卓越的性能.
- 仅使用单轴压缩试验数据进行模型装配,与传统的多轴方法相比,大大减少了实验室测试时间.
- 该研究强调了在制品有限元素分析中考虑数值分离和非线性行为的重要性.
结论:
- 叶模型是最适合的超弹性模型,用于准确预测保险性能,当材料的表征仅限于单轴压缩试验时.
- 基于单轴压缩的简化材料测试协议可能足以设计制品,从而提高开发周期的效率.
- 精确的部件有限元分析需要仔细考虑材料模型和数值模拟策略,特别是复杂的几何和非线性材料反应.
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