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

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Report of the Workshop Predictive Theoretical, Computational and Experimental Approaches for Additive Manufacturing (WAM 2016)/ by Xu Guo, Gengdong Cheng, Wing-Kam Liu.
作者:	Guo, Xu.
其他作者:	Cheng, Gengdong.
面頁冊數:	XI, 88 p. 33 illus.online resource. :
Contained By:	Springer Nature eBook
標題:	Manufactures. -
電子資源:	https://doi.org/10.1007/978-3-319-63670-2
ISBN:	9783319636702

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

Report of the Workshop Predictive Theoretical, Computational and Experimental Approaches for Additive Manufacturing (WAM 2016)[electronic resource] /by Xu Guo, Gengdong Cheng, Wing-Kam Liu. - 1st ed. 2018. - XI, 88 p. 33 illus.online resource. - SpringerBriefs in Applied Sciences and Technology,2191-530X. - SpringerBriefs in Applied Sciences and Technology,.

Introduction -- Theoretical understanding of material science and mechanics in additive manufacturing -- Computational and analytical methods in additive manufacturing. - Theory, methods and tools for additive manufacturing oriented design and optimization -- Additive manufacturing experimental methods and results, and additive manufacturing scalability. summary of group discussions -- References.

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.

ISBN: 9783319636702

Standard No.: 10.1007/978-3-319-63670-2doiSubjects--Topical Terms:

680602
Manufactures.

LC Class. No.: TS1-2301

Dewey Class. No.: 670

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