Abstract
Abstract
The mechanical properties of additively fabricated metallic parts are closely correlated with their microstructural texture. Knowledge about the grain evolution phenomena during the additive manufacturing process is of essential importance to accurately control the final structural material properties. In this work, a two-dimensional model based on the cellular automata method was developed to predict the grain evolution in the selective laser melting process. The effectiveness of this presented model is proven by comparing the simulated and reported results. The influence of process parameters, like the scanning strategy, laser power, and scanning speed, on the microstructural grain morphology, are numerically evaluated.
Subject
General Physics and Astronomy
Reference26 articles.
1. Effects of thermal cycles on the microstructure evolution of Inconel 718 during selective laser melting process;Wang;Addit. Manuf.,2017
2. Scanning speed effect on mechanical properties of Ti-6Al-4V alloy processed by electron beam additive manufacturing;Wang;Procedia Manuf,2015
3. Development of sensing and control system for robotized laser-based direct metal addition system;Ding;Addit. Manuf.,2016
4. The metallurgy and processing science of metal additive manufacturing;Sames;Int. Mater. Rev.,2016
5. Modeling of additive manufacturing processes for metals: Challenges and opportunities;Francois;Curr. Opin. Solid State Mater. Sci.,2017