The design of products with targeted performance requires expert decision-making across the Processing-microStructure-Property-Performance levels of the materials design hierarchy. These multilevel decisions need to account for the uncertainties arising from incomplete and inaccurate information during design. Isolated decision-making across levels will not suffice in realizing targeted product performance, as it can result in design conflicts that adversely impact product performance. Hence, the interactions of multilevel decisions need to be considered. We recognize ‘co-design’, which involves collaborative decision-making across multilevel by considering their interactions, and ‘robustness’, as central to managing design conflicts and uncertainties.
In this paper, we present a framework to support the multilevel, robust co-design of material and product systems. The framework facilitates systematic modeling of multilevel decisions and interactions, uncertainty management, and conflict detection and management. We illustrate the efficacy of the proposed framework using the Hot-rod rolling problem characterized by uncertain, multilevel decision-making across the Processing-microStructure-Property-Performance levels.