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.

Por: Guo, Xu [author.]Colaborador(es): Cheng, Gengdong [author.] | Liu, Wing-Kam [author.] | SpringerLink (Online service)Tipo de material: TextoTextoSeries SpringerBriefs in Applied Sciences and TechnologyEditor: Cham : Springer International Publishing : Imprint: Springer, 2018Edición: 1st ed. 2018Descripción: XI, 88 p. 33 illus. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783319636702Tema(s): Manufactures | Applied mathematics | Engineering mathematics | Manufacturing, Machines, Tools, Processes | Mathematical and Computational EngineeringFormatos físicos adicionales: Printed edition:: Sin título; Printed edition:: Sin títuloClasificación CDD: 670 Clasificación LoC:TS1-2301Recursos en línea: Libro electrónicoTexto
Contenidos:
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.
En: Springer Nature eBookResumen: 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.
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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.

UABC ; Temporal ; 01/01/2021-12/31/2023.

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