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.
metal design, network models, optimization, functional gradient materials
Integrating Materials and Manufacturing Innovation
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Verma, Amit K.; French, Roger H.; and Carter, Jennifer L. W., "Physics-Informed Network Models: A Data Science Approach to Metal Design" (2018). Faculty Scholarship. 72.