Abstract
We contend that ICME is not limited to selecting an available material from a database; instead, ICME includes actually tailoring material structure at various levels of hierarchy (atoms, microstructure, etc.) via associated processing paths to achieve properties and performance levels that are customized for a particular application. Accordingly, from a systems design perspective we view ICME as the top-down driven, simulation-supported, decision-based design of material hierarchy to satisfy a ranged set of product-level performance requirements. George Box is reputed to have said that all models are wrong but only some of them are useful. Form a systems design perspective we observe that in model-based realization of engineered systems, the decision maker must be able to work constructively with decision models and analysis models that are typically incomplete and inaccurate. Hence, the need to manage uncertainty.
In this paper, we highlight our approach for managing uncertainty in the realization of engineered materials and components and a key development that is necessary to institutionalize ICME in industry, namely, a computational platform.
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Allen, J.K., Panchal, J., Mistree, F., Singh, A.K., Gautham, B.P. (2015). Uncertainty Management in the Integrated Realization of Materials and Components. In: Poole, W., et al. Proceedings of the 3rd World Congress on Integrated Computational Materials Engineering (ICME 2015). Springer, Cham. https://doi.org/10.1007/978-3-319-48170-8_40
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DOI: https://doi.org/10.1007/978-3-319-48170-8_40
Publisher Name: Springer, Cham
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