Intelligent Material Informatics Applications in Design and Manufacturing
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Material plays a key role in the product realization process. The shape of the product, material allocation, and its fabrication processes must be simultaneously considered in a concurrent manner for enabling quality product design process to achieve a reduction in product development time, production costs, and quality defects. This dissertation offers a data-driven framework that enables integrating material informatics to product design and manufacturing to increase the efficiency, reliability, and pertinency of the entire production chain.In this dissertation, a series of intelligent material informatics frameworks in the domains of design and manufacturing with the aim of improving design efficiency, assuring manufacturing quality, and increasing design and manufacturing pertinency is outlined. Specifically, this dissertation outlines (a) an intelligent material assignment tool to automate the material design in CAD/CAE/CAM modeling, (b) an intelligent material inspection tool to automate the material quality detection in manufacturing process monitoring, (c) an intelligent material inspection tool to automate the degradation mechanism detection in organic solar cells, (d) a scheme to support the design and manufacturing oriented by materials.