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Statistical investigation on influence of grain size on effective strengths of participate reinforced metal matrix composites

机译:粒度对参与钢筋金属基复合材料有效优势影响的统计研究

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In this paper, a numerical technique is presented for evaluating the influence of particle size in particulate reinforced metal matrix composites (PRMMCs) on two critical material parameters, namely, the ultimate strength and endurance limit. To demonstrate this technique a representative PRMMC material, tungsten carbide-cobalt hard metal (WC-Co), was selected. As a typical random heterogeneous material, WC-Co demonstrates a noteworthy randomness in its composite structure. In order to take this characteristic into consideration, a novel numerical approach is adopted in this work, which is a conjunction between so-called direct methods (DMs) and statistical analyses. As the approach requires a large number of samples to be evaluated, numerical efficiency in solving optimization problems resulted from DM is a critical issue. For the purpose of comparison with the lower bound formulation, a numerical scheme formulated from the upper bound method is selected in this work. Overall, the study clarifies how the material strength of WC-Co with a fixed binder content is influenced by the reinforcement WC particle size and shows how the proposed approach can be used as a viable means for investigating the relationship between properties and structural characteristics of PRMMC materials. (C) 2019 Elsevier B.V. All rights reserved.
机译:本文提出了一种用于评估颗粒尺寸在颗粒状增强金属基复合材料(PRMMC)的两个关键材料参数中的影响,即最终的强度和耐久极限。为了证明该技术,选择代表性的PRMMC材料碳化钨 - 钴硬金属(WC-CO)。作为典型的随机异质材料,WC-CO在其复合结构中证明了值得注意的随机性。为了考虑这种特征,在这项工作中采用了一种新颖的数控方法,这是所谓的直接方法(DMS)和统计分析之间的结合。由于该方法需要评估大量样本,因此从DM引起的求解优化问题的数值效率是一个关键问题。出于与下限配方进行比较,在该工作中选择由上染料法配制的数值方案。总体而言,该研究阐明了WC-CO如何具有固定粘合剂含量的材料强度受加强WC粒度的影响,并展示了所提出的方法如何用作调查PRMMC性能与结构特征之间的关系的可行方法材料。 (c)2019 Elsevier B.v.保留所有权利。

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