Optimizing thermo-mechanical processing and material coupling parameters in numerical modeling for additive manufacturing

Additive manufacturing (AM) is gaining increasing industrial interest. Initially conceived to facilitate the pre-production, manufacture efficiently and cheaply unique parts such as prototypes, it now able deliver that meet production needs. In addition, AM an effective way achieve designed using topological optimization. Laser beam melting technique produce specific with mechanical properties matching expectations. However, efficient remains complex because of distortion, cracking other failures linked process machine parameters. The prime material being generally expensive in order required quality from very first attempt while reducing processing time market necessary for low cost mass production, a high-quality digital simulation mandatory. We thus study relation between parameters final state part numerical model, which developed parallel. This work focuses on macroscopic scale. carry out thermo-mechanical we use finite element resolution method whole domain defined by part, its supports baseplate. At this scale, one can neglect packing powder well hydrodynamic behavior melt pool laser process. consider Gaussian energy distribution heat source, imposed several layers powders below deposited layer. Starting previous [1], considers temperature dependence Young modulus, improve, work, model considering dependency physical pertaining or elastoplastic thermal laws coefficients. aim bridge scale mesoscopic results study. step, simulations are carried simple models like walls, cubes, beams popular cantilever used calibrations. show gain precision contribution various phase-transition during printing computing compatible laptops iterate easily. accuracy validated comparing distortion experimental results.