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Plasticity-Related Microstructure-Property Relations for Materials Design

机译:与塑性相关的微观结构 - 材料设计关系

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Design has traditionally involved selecting a suitable material for a given application. A materials design revolution is underway in which the classical materials selection approach is replaced by design of material microstructure or mesostructure to achieve certain performance requirements such as density, strength, ductility, conductivity, and so on. Often these multiple performance requirements are in conflict in terms of their demands on microstructure. Computational plasticity models play a key role in evaluating structure-property relations necessary to support simulation-based design of heterogeneous, multifunctional metals and alloys. We consider issues related to systems design of several classes of heterogeneous material systems that is robust against various sources of uncertainty. Randomness of microstructure is one such source, as is model idealization error and uncertainty of model parameters. An example is given for design of a four-phase reactive powder metal-metal oxide mixture for initiation of exothermic reactions under shock wave loading. Material attributes (e.g. volume fraction of phases) are designed to be robust against uncertainty due to random variation of microstructure. We close with some challenges to modeling of plasticity in support of design of deformation and damage-resistant microstructures.
机译:传统上,设计涉及为给定应用选择合适的材料。正在进行材料设计革命,其中古典材料选择方法是通过材料微观结构或型材结构的设计而取代,以实现诸如密度,强度,延展性,导电性等的某些性能要求。通常,这些多种性能要求在它们对微观结构的要求方面发生冲突。计算可塑性模型在评估支持基于模拟的异质,多官能金属和合金的结构所需的结构性质关系方面发挥着关键作用。我们考虑与多种异构材料系统的系统设计有关的问题,这对于针对各种不确定性来源鲁棒。微结构的随机性是一种这样的源,模型理想化误差和模型参数的不确定性。给出了一种实施例,用于设计四相反应性粉末金属 - 金属氧化物混合物,用于在冲击波负载下引发放热反应。材料属性(例如,相位的体积分数)被设计为由于微观结构的随机变化而被稳健地抵抗不确定性。我们对塑性建模的挑战,以支持变形和抗损伤微观结构设计。

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