株式会社極東書店トップ商品一覧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.

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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.

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.

・ISBN 978-3-031-50476-1 paper EUR 249.99

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お気に入り
電子版あり 大学・学術機関向け電子ブック(eBook)ISBN 9788743804208
著者・編者Kramer, Sharlotte L.B. / Retzlaff, Emily / Thakre, Piyush / Hoefnagels, Johan / Rossi, Marco / Lattanzi, Attilio / Hemez, Francois / Mirshekari, Mostafa / Downey, Austin (eds.),
シリーズ (Conference Proceedings of the Society for Experimental Mechanics Series)
出版社 (Springer International Publishing AG, SZ)
出版年月2025
ページ数102 pp.
言語ENG
ニュース番号<A03-91864>

解説

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 Polymers

Dynamic Behavior of Additively Manufactured Materials and Structures

Joint Residual Stress and Additive Manufacturing

ML for Material Model Identification

Novel AM Structures

Novel Processing and Testing of Additively Manufactured Materials

Plasticity and Complex Material Behavior

Virtual Fields Method