ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part B Mechanical Engineering • Vol 8 • No 1
Bayesian Calibration of Multiple Coupled Simulation Models for Metal Additive Manufacturing: A Bayesian Network Approach
August 2021 • Jiahui Ye, Mohamad Mahmoudi, Kübra Karayağız, Luke Johnson, Raiyan Seede, İbrahim Karaman, Raymundo Arróyave, Alaa Elwany
Abstract Modeling and simulation for additive manufacturing (AM) are critical enablers for understanding process physics, conducting process planning and optimization, and streamlining qualification and certification. It is often the case that a suite of hierarchically linked (or coupled) simulation models is needed to achieve the above tasks, as the entirety of the complex physical phenomena relevant to the understanding of process-structure-property-performance relationships in the context of AM precludes the us…