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首页> 外文期刊>International journal of non-linear mechanics >Finite element analysis of V-ribbed belts using neural network based hyperelastic material model
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Finite element analysis of V-ribbed belts using neural network based hyperelastic material model

机译:基于神经网络的超弹性材料模型对多楔带的有限元分析

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A three-dimensional finite element model was built to study V-ribbed belt pulley contact mechanics. The model consists of a pulley and a segment of V-ribbed belt in contact with the pulley. A material model for the belt, including the rubber compound and the reinforcing cord is developed. Rubber is modeled as hyperelastic material. The hyperelastic strain energy function is approximated by neural network trained by rubber test data. Reinforcing cord is modeled as elastic rebar. The material model developed is implemented in the commercial finite element code ABAQUS to simulate the V-ribbed belt-pulley system. A study is then conducted to investigate the effect of belt pulley system parameters on the contact mechanics. The effects of temperature and aging on belt materials are also investigated. The information gained from the analysis can be applied to optimize V-ribbed belt and pulley design.
机译:建立了三维有限元模型来研究V型肋皮带轮的接触力学。该模型由一个皮带轮和与皮带轮接触的一段多楔带组成。开发了皮带的材料模型,包括橡胶混合物和加强绳。橡胶被建模为超弹性材料。超弹性应变能函数通过橡胶测试数据训练的神经网络来近似。钢筋模型为弹性钢筋。开发的材料模型在商业有限元代码ABAQUS中实现,以模拟V型肋皮带轮系统。然后进行研究以研究皮带轮系统参数对接触力学的影响。还研究了温度和老化对皮带材料的影响。从分析中获得的信息可以用于优化多楔带和皮带轮的设计。

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