Isbn: 9783031504761 - additive and advanced manufacturing, inverse problem methodologies and machine learning and data science, volume 4: proceedings of the 2023 annual ... on experimental and applied mechanics (5 risultati)

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    Taschenbuch. Condizione: Neu. 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 | Sharlotte L. B. Kramer (u. a.) | Taschenbuch | Conference Proceedings of the Society for Experimental Mechanics Series | vii | Englisch | 2025 | Springer | EAN 9783031504761 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

  • Lingua: Inglese

    Editore: Springer Verlag GmbH, 2025

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    Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.

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    Editore: Springer Nature Switzerland, Springer Nature Switzerland Feb 2025, 2025

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    Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.

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    Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 112 pp. Englisch.

  • Lingua: Inglese

    Editore: Springer, Palgrave Macmillan Feb 2025, 2025

    3031504763 / 9783031504761

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    Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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 MethodSpringer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 112 pp. Englisch.

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    Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.