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Plasticity-Related Microstructure-Property Relations for Materials Design

机译:材料设计中与塑性相关的微观结构-性能关系

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摘要

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。材料设计革命正在进行中,其中经典的材料选择方法被材料微观结构或介观结构的设计所取代,以实现某些性能要求,例如密度,强度,延展性,导电性等。就其对微观结构的要求而言,这些多重性能要求通常是矛盾的。计算可塑性模型在评估支持基于仿真的异质,多功能金属和合金设计所必需的结构-特性关系中起着关键作用。我们考虑与几类异质材料系统的系统设计有关的问题,这些问题可以抵抗各种不确定性。微观结构的随机性就是一个这样的来源,模型理想化误差和模型参数的不确定性也是如此。给出了在冲击波载荷下引发放热反应的四相反应性粉末金属-金属氧化物混合物的设计实例。材料属性(例如相的体积分数)被设计成对于由于微观结构的随机变化而引起的不确定性具有鲁棒性。我们在支持可变形和抗损伤微结构设计的可塑性建模方面面临一些挑战。

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