Stochastic, Multi-physics, and Multi-scale Aspects of Additive Manufacturing

Sonjoy Das, University at Buffalo, SUNY
Chi Zhou, University at Buffalo, SUNY

Rapidly pacing additive manufacturing or 3D printing technology provides a way of producing 3-dimensional (3D) physical objects directly from their digital representations. In the past few years, advances in material processing, in process designing, and in machine development enabled the AM processes to evolve from the prototyping stage to product manufacturing stage with significant potential for mass customization in a host of diverse applications such as aerospace, biomedical, building construction, electronic, food, and jewellery. Understanding the advantages and limitations of different aspects of the AM processes from a fundamental perspective is important for the future engineers to make this potential into a reality. The objective of this mini-symposium (MS) is to gain such fundamental understanding particularly from stochastic and mechanistic perspective. The presentations that focus on the following are invited: (1) develop an interdisciplinary understanding of the 3D printing processes, (2) apply multi-physics and multi-scale concepts to better understand and investigate different phases of the 3D printing process, and (3) employ uncertainty quantification and analysis for improved quality control of the 3D printing processes.