Author Description

Enables readers to understand the additive manufacturing process-structure-property relationships and optimize the manufacturing parameters and machines via computational modeling techniques, including multi-physics modeling and data-driven analysis. Computational Modeling of Additive Manufacturing provides a step-by-step guide, covering topics from basic physics and governing equations to the implementation, experimental validation, model capability, and physical mechanisms obtained from simulation, as well as expert perspectives on future outlooks. With a well-rounded exploration of key areas, this book integrates various modeling techniques, including multi-physics modeling of powder, fluid and solid mechanics, heat transfer, microstructure evolutions, data-driven analysis including surrogate modeling, uncertainty quantification and multi-objective optimization, and a synergy of modeling with other techniques. Modeling of various additive manufacturing processes are included, such as laser/electron beam powder bed fusion, directed energy deposition, binder jetting, and material extrusion. The book presents comprehensive simulations covering a variety of issues for the process-structure-property relationships, including: Multi-phase flow modeling of powder dynamics (e.g., spreading and spattering) in powder-bed-based additive manufacturing processes Multi-physics modeling of molten pool dynamics in fusion-based additive manufacturing processes, with mechanistic heat source model, composition-dependent evaporation and chemical reaction models, and under external energy fields, as well as the thermal-fluid dynamics in other additive manufacturing processes. Modeling of microstructure evolutions including grain and dendrite evolutions Multi-scale modeling of thermal and residual stresses, and the room- and high-temperature mechanical properties of the additively manufactured parts Data-driven surroga