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Finite element analysis of V-ribbed belt/pulley system with pulley misalignment using a neural-network-based material model

机译:使用基于神经网络的材料模型对皮带轮未对准的V型多楔皮带/皮带轮系统进行有限元分析

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Pulley misalignment limits the performance of V-ribbed belt/pulley system as it relates to rib load-sharing and contact pressure distribution for multiple rib belts required in high torque demands of modern automotive applications. In this paper, a three-dimensional dynamic finite element model is built to evaluate the effects of pulley misalignment. The model consists of a pulley and a segment of V-ribbed belt in contact with the pulley. A material model of belt, including rubber compound and reinforcing cord is developed. Multiple rubber layers are each considered hyperelastic with distinct material characterization parameters. A novel neural-network-based hyperelastic material model is implemented to represent properties of nonlinear elastic belt-rib compound. The models are implemented in the commercial code ABAQUS/Explicit to simulate the misalignment of the belt–pulley system. The developed model is first validated by experimental measurements of pulley lateral force due to misalignment. Also, three common types of misalignment in the belt–pulley system are analyzed and results are presented.
机译:皮带轮未对准限制了V型肋式皮带/皮带轮系统的性能,因为它涉及肋条负载共享和现代汽车应用中高扭矩要求所需的多个肋条皮带的接触压力分布。本文建立了一个三维动态有限元模型来评估皮带轮未对准的影响。该模型由一个皮带轮和与皮带轮接触的一段多楔带组成。建立了皮带的材料模型,包括橡胶复合材料和增强绳。多个橡胶层均被视为具有不同的材料表征参数的超弹性。实现了基于神经网络的新型超弹性材料模型,以表示非线性弹性带肋复合材料的性能。这些模型在商业代码ABAQUS / Explicit中实现,以模拟皮带轮系统的不对中。首先通过实验测量由于未对准引起的皮带轮侧向力来验证开发的模型。此外,还分析了皮带轮系统中三种常见的不对准类型,并给出了结果。

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