|About this Abstract
||2017 TMS Annual Meeting & Exhibition
||Additive Manufacturing: Building the Pathway towards Process and Material Qualification
||Cellular Automata based Microstructural Modeling for Additive Manufacturing Processes
||Deepankar Pal, Javed Akram, Pradeep Chalavadi, Brent Stucker
|On-Site Speaker (Planned)
Evolution of microstructural features in additively manufactured parts is one of the most important factors in evaluation of the part properties and performance; therefore, prior knowledge of microstructure is essential to predict the part behavior during service conditions. In this study, simulation studies based on cellular automata method is adopted to predict the microstructure at different process conditions. The model combines the effect of thermal, solute, and curvature undercooling to track the velocity of solid-liquid interface. Solidification Rate (R) and Thermal Gradient (G) was computed from the thermal model to identify the types of grains such as the columnar or equiaxed grains. Different scan power and material compositions were varied to study the evolving microstructure. The simulated results were validated against the experimental results with measures of interest such as grain size, grain orientation, and micro-segregation.
||Planned: Supplemental Proceedings volume