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Integrated Computational Materials Engineering (ICME) for Metals: Using Multiscale Modeling to Invigorate Engineering Design with Science by Mark F. Horstemeyer

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1.4 ICME FOR DESIGN

A significant opportunity exists for ICME in the next wave of design paradigms for components, subsystems, or large-scale systems by accounting for the structure–property relations that have a real impact on measured system response to design loads. As multiscale modeling is refined and enhanced, the degree of model accuracy and precision is directly and beneficially related to the level of product design optimization that can be achieved. When combining ICME into simulation-based design concepts, several challenges include the following: lack of validated techniques for bridging the various time and length scales, management of models with the associated uncertainties, management of a huge amount and variety of information, and development of simpler, user-friendly methods for efficient decision making.

Panchal et al. [216] discussed how multiscale modeling deals with efficient integration of information from multiscale models to gain a holistic understanding of the system, whereas multiscale design deals with efficient utilization of information to satisfy design objectives. In order to address the challenges associated with multiscale design, Panchal et al. [216] proposed a domain-independent strategy based on generic interaction patterns between multiscale models.

In a different vein, Olson [85, 217] has described the processing–structure–performance relationship as a function of multiscale, multilevel materials attributes that has lent itself to multiscale ...

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