Computational Modeling and Numerical Simulation of Additive Manufacturing Processes

Dear Colleagues,

Additive manufacturing (AM), also known as 3D-printing, is a rapidly emerging manufacturing technology which, in the past few years, has evolved into one of the most promising techniques for creating solid structures of virtually any shape, based on digital models. AM is thought to be the next technological revolution.

In recent years, powered by the growing interest in this and related issues and motivated by the need to get high-quality final products and to reduce manufacturing costs, a number of research efforts have been made in the numerical simulation of AM processes. Despite the enormous progress, the large-scale numerical simulation of these problems continues to be a complex task, and its application in everyday production is still limited by several factors. Unaffordable computational times and lack of specialized analysts are usually claimed as the main reasons, but also distrust in reliability and/or output accuracy plays an important role. Indeed, the inner complexity of the process, characterized by high deformations, heat exchange phenomena, and the highly nonlinear nature of the problem evidence the scientific interest in this particular field of applied computational mechanics. The challenges AM poses on numerical simulation arise from its multiphysics and multiscale nature.

This Special Issue (SI) on “Computational Modeling and Numerical Simulation of Additive Manufacturing Processes” intends to collect the last developments in the field, written by well-known researchers who have contributed significantly in computational modeling, numerical simulation, mathematical formulation, or material characterization of AM processes.

Topics addressed in this SI may include but are not limited to:

• Computational modeling and numerical simulation of AM processes;
• Numerical methods for AM processes;
• Thermomechanical formulation of AM processes;
• Material characterization of AM processes;
• Metallurgical characterization of AM processes;
• Industrial applications of AM processes.

Prof. Carlos Agelet de Saracibar
Guest Editor

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