Predictive Theoretical And Computational Approaches For Additive Manufacturing


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Predictive Theoretical and Computational Approaches for Additive Manufacturing


Predictive Theoretical and Computational Approaches for Additive Manufacturing

Author: National Academies of Sciences, Engineering, and Medicine

language: en

Publisher: National Academies Press

Release Date: 2016-12-21


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Additive manufacturing (AM) methods have great potential for promoting transformative research in many fields across the vast spectrum of engineering and materials science. AM is one of the leading forms of advanced manufacturing which enables direct computer-aided design (CAD) to part production without part-specific tooling. In October 2015 the National Academies of Sciences, Engineering, and Medicine convened a workshop of experts from diverse communities to examine predictive theoretical and computational approaches for various AM technologies. While experimental workshops in AM have been held in the past, this workshop uniquely focused on theoretical and computational approaches and involved areas such as simulation-based engineering and science, integrated computational materials engineering, mechanics, materials science, manufacturing processes, and other specialized areas. This publication summarizes the presentations and discussions from the workshop.

Report of the Workshop Predictive Theoretical, Computational and Experimental Approaches for Additive Manufacturing (WAM 2016)


Report of the Workshop Predictive Theoretical, Computational and Experimental Approaches for Additive Manufacturing (WAM 2016)

Author: Xu Guo

language: en

Publisher: Springer

Release Date: 2017-10-23


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The volume focuses on theoretical and computational approaches and involves areas such as simulation-based engineering and science, integrated computational materials engineering, mechanics, material science, manufacturing processes, and other specialized areas. Most importantly, the state-of-the-art progress in developing predictive theoretical, computational and experimental approaches for additive manufacturing is summarized.

Commerce, Justice, Science, and Related Agencies Appropriations for 2018


Commerce, Justice, Science, and Related Agencies Appropriations for 2018

Author: United States. Congress. House. Committee on Appropriations. Subcommittee on Commerce, Justice, Science, and Related Agencies

language: en

Publisher:

Release Date: 2017


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