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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:
This book is an essential first-of-its-kind reference for researchers in this specific area, and the larger area, of additive manufacturing who focus on experiments, materials design, mechanics, and other areas of interest.
