Physics-Informed Network Models: a Data Science Approach to Metal Design

被引：0
作者：
Amit K. Verma
Roger H. French
Jennifer L. W. Carter
机构：
[1] Case Western Reserve University,Department of Materials Science and Engineering
[2] Case Western Research University,SDLE Research Center
来源：
Integrating Materials and Manufacturing Innovation | 2017年 / 6卷
关键词：
Metal design; Network models; Optimization; Functional gradient materials;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Functional graded materials (FGM) allow for reconciliation of conflicting design constraints at different locations in the material. This optimization requires a priori knowledge of how different architectural measures are interdependent and combine to control material performance. In this work, an aluminum FGM was used as a model system to present a new network modeling approach that captures the relationship between design parameters and allows an easy interpretation. The approach, in an un-biased manner, successfully captured the expected relationships and was capable of predicting the hardness as a function of composition.
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页码：279 / 287
页数：8
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