|About this Abstract
||2021 TMS Annual Meeting & Exhibition
||Additive Manufacturing of Metals: Applications of Solidification Fundamentals
||Microstructure Control with Advanced Scan Strategies Developed via Fast Analytic Thermal Modeling of Additive Processes
||Benjamin Stump, Patxi Fernandez, Matt Rolchigo, Alex Plotkowski, Jim Belak
|On-Site Speaker (Planned)
Advanced microstructure control is a major objective in additive manufacturing (AM). Since microstructure is related to macroscopic properties, enabling control could result in built parts that are both lighter and stronger than before. Microstructure in AM is dependent on both material parameters and processing conditions. Many studies have been done tweaking various processing conditions, such as power, beam velocity, and dwell time, and seeing the resulting effect on the microstructure. Even fever studies look at adjusting the scan path itself due to the problem being of substantially higher complexity. This talk delves into using a fast, analytic heat transfer solution for this purpose and some of the resulting scan strategies. These scan strategies came from thought experiments, optimizations, and neural networks and provide different insights into the problem. CA results and actual microstructure data from the resulting build are also presented.