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Recent developments in a NIST sponsored program on Design, Non-Destructive Evaluation and the Manufacturing Sciences (being conducted at Iowa State and Northwestern Universities) have led to the realization of a new paradigm for the design of safety critical components made by metal casting. The paradigm is based on the simultaneous integration of design for casting, design for fatigue performance and design for inspection. In a concurrent environment, foundry process simulation is used to predict an array of porosity related defects in the subject casting. The probability of detection of these defects is investigated with a radiographic inspection simulation tool (XRSIM). The likelihood that the predicted array of defects will lead to a failure is determined by a fatigue crack growth simulation. When properly utilized, this kind of system gives visibility to casting manufacturing, performance, and inspectability issues during the earliest stages of product definition.

To advance vehicle lightweighting, chopped carbon fiber sheet molding compound (SMC) is identified as a promising material to replace metals. However, there are no effective tools and methods to predict the mechanical property of the chopped carbon fiber SMC due to the high complexity in microstructure features and the anisotropic properties. In this paper, a Representative Volume Element (RVE) approach is used to model the SMC microstructure. Two modeling methods, the Voronoi diagram-based method and the chip packing method, are developed to populate the RVE. The elastic moduli of the RVE are calculated and the two methods are compared with experimental tensile test conduct using Digital Image Correlation (DIC). Furthermore, the advantages and shortcomings of these two methods are discussed in terms of the required input information and the convenience of use in the integrated processing-microstructure-property analysis.