Abstract Scope |
Sentient has developed a predictive modeling tool for components built using AM to assess their performance, with consideration of microstructural properties. Multiple microstructural features and behaviors specific to AM materials are considered in the tool: effect of AM build process on residual stress and porosity left in the part after build process, and microstructure resulted due to build process parameters. We simulate AM build process considering parameters involved during build process. Our predictive model has three main modules: process modeling, microstructure modeling, and fatigue modeling. The validation of our modeling tool is verified using experimental testing. The tool provides different types of output for user, including microstructure map, grain distribution data, porosity map, residual stress contours, thermal contours, S-N data, fatigue crack animation, and Weibull distribution. This tool significantly reduces required expensive and time-consuming experimental testing, thereby improving design process, increasing reliability and durability, and reducing cost of operation. |