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Prediction of Component Failure using ‘Progressive Damage and Failure Model’ and Its Application in Automotive Wheel Design

机译:使用“渐进式损坏模型”的成分故障预测及其在汽车轮设计中的应用

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Damages (fracture) in metals are caused by material degradation due to crack initiation and growth due to fatigue or dynamic loadings. The accurate and realistic modeling of an inelastic behavior of metals is essential for the solution of various problems occurring in engineering fields. Currently, various theories and failure models are available to predict the damage initiation and the growth in metals. In this paper, the failure of aluminum alloy is studied using progressive damage and failure material model using Abaqus explicit solver. This material model has the capability to predict the damage initiation due to the ductile and shear failure. After damage initiation, the material stiffness is degraded progressively according to the specified damage evolution response. The progressive damage models allow a smooth degradation of the material stiffness, in both quasi-static and dynamic situations. Further in this paper, the material model is validated for tensile and shear failure using standard specimens. Then the validated material model is used in the damage prediction of the aluminum wheel due to compression load and good correlation is achieved within 5% of deviation.
机译:由于疲劳或动态载荷引起的裂纹引发和生长,金属中的损坏(骨折)是由物质降解引起的。金属非弹性行为的准确性和现实的建模对于解决工程领域中发生的各种问题是必不可少的。目前,各种理论和故障模型可用于预测损害启动和金属的生长。本文使用ABAQUS明确求解器使用逐行损坏和失效材料模型研究了铝合金的失效。该材料模型具有预测由于延性和剪切故障引起的损伤启动的能力。在损伤发生后,根据规定的损伤演进响应逐渐降解材料刚度。在准静态和动态情况下,渐进式损坏模型允许将材料刚度的平滑降低。此外,使用标准试样验证材料模型的拉伸和剪切失效。然后,验证的材料模型用于由于压缩负载而导致的铝滚轮的损坏预测,并且在偏差的5%内实现良好的相关性。

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