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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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10.1 INTEGRATING PROCESS, STRUCTURE, PROPERTY, AND PERFORMANCE

Imagine that an engineer is asked by his or her boss to design a new bulletproof shirt that needs to be as light and flexible as the current cotton shirts, does not overheat the individual, withstands high-rate impacts, and must be procured in a mass production manner via its material processing. With these requirements in mind, now imagine that the engineer has only to log onto a cyberinfrastructure for materials informatics, codes, and data that already has tied together the myriads of options starting with each element in the periodic table and associated links for the composite-based shirt. The designer puts the requirements into the cybersystem and four options are suggested—all that meet the thermal, mechanical, and materials processing requirements. Now, the designer must consider the life cycle costs associated with the manufacturing process and potential market (colors, sizes, etc.) and then make decisions about which path to pursue.

Although this dream is still off in the future, it is closer than what we think. The confluence of large-scale computing with more precision experimental capabilities has offered the theoretical community new realms of accuracy and precision that have been beforehand not realizable. If the cause-and-effect relationships from materials processing-to-structure-to-properties-to-performance [1–3] have been quantified (see Table 10.1), and the cause-and-effect relationships from the ...

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