|About this Abstract
||MS&T22: Materials Science & Technology
||Additive Manufacturing Modeling, Simulation, and Machine Learning: Microstructure, Mechanics, and Process
||Effects of a Novel Post Processing Technique on Mechanical Performance of AlSi10Mg Produced via LPBF
||John Lewandowski, Austin Q. Ngo, Jag Sankar, Tony Schmitz, Jian Cao, Glenn Daehn
|On-Site Speaker (Planned)
Additive Manufacturing (AM) processes have versatile capabilities but are susceptible to the formation of non-equilibrium microstructures, process-induced defects and porosity, which have deleterious effects on the mechanical performance of AM-processed structural materials. A novel post processing technique was investigated as a method of microstructure manipulation while reducing process defect severity to improve mechanical properties. AlSi10Mg processed via LPBF over a range of process parameters were characterized, followed by a novel post processing technique to impart beneficial changes in mechanical performance. Both initial and post processed material were analyzed with EBSD and tomography, while fracture surfaces were analyzed using OM, SEM, and metrology methods. Initial modeling of the novel post processing technique has also been conducted. The effects of this novel post processing technique on the mechanical behavior of LPBF AlSi10Mg will be presented along with possible extension to other AM-processed materials.