Short review on modeling approaches for metal additive manufacturing process

Abstract

Additive manufacturing (AM) has been gaining considerable attention from both industrial and research communities the recent years. Main challenges in AM modeling arise from the accurate estimation of nodal temperature history, distribution of residual stresses and distortion of parts fabricated by AM and also from high computational efforts. Innovative solutions were proposed and implemented to address these issues in the AM processes of metal alloys and also modeling methods were developed to further improve efficiency and accuracy of the process. The current paper provides a short review on the thermomechanical modeling approaches and techniques developed for residual stress and distortion assessment of direct metal deposition (DMD) of AM parts. The beneficial outcomes and shortages of the recent studies in AM modeling were presented and discussed.