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Additive and Advanced Manufacturing, Inverse Problem Methodologies and Machine Learning and Data Science, Volume 4 : Proceedings of the 2023 Annual Conference & Exposition on Experimental and Applied Mechanics (Conference Proceedings of the Society for Experimental Mechanics Series)

By: Attilio Lattanzi (Edited by) , Austin Downey (Edited by) , Emily Retzlaff (Edited by) , Francois Hemez (Edited by) , Johan Hoefnagels (Edited by) , Marco Rossi (Edited by) , Mostafa Mirshekari (Edited by) , Piyush Thakre (Edited by) , Sharlotte L.B. Kramer (Edited by)

Extended Catalogue

Ksh 50,150.00

Format: Hardback or Cased Book

ISBN-10: 3031504739

ISBN-13: 9783031504730

Collection / Series: Conference Proceedings of the Society for Experimental Mechanics Series

Collection Type: Publisher collection

Edition statement: 2024 ed.

Publisher: Springer International Publishing AG

Imprint: Springer International Publishing AG

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Feb 20th, 2024

Publication Status: Active

Product extent: 102 Pages

Product Classification / Subject(s): Testing of materials
Production engineering
Databases
Machine learning

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Additive and Advanced Manufacturing, Inverse Problem Methodologies and Machine Learning and Data Science, Volume 4 of the Proceedings of the 2023 SEM Annual Conference & Exposition on Experimental and Applied Mechanics, the fourth volume of five from the Conference, brings together contributions to this important area of research and engineering.  The collection presents early findings and case studies on a wide range of topics and includes papers in the following general technical research areas:AM Composites and PolymersDynamic Behavior of Additively Manufactured Materials and StructuresJoint Residual Stress and Additive ManufacturingML for Material Model IdentificationNovel AM StructuresNovel Processing and Testing of Additively Manufactured MaterialsPlasticity and Complex Material BehaviorVirtual Fields Method

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