Additive and Advanced Manufacturing, Inverse Problem Methodologies and Machine Learning and Data Science, Volume 4
Produktnummer:
18b94a3d7d562a417c84196bc39bf43075
| Themengebiete: | Conference Proceedings Materials Characterization additive manufacturing advanced manufacturing data science machine learning |
|---|---|
| Veröffentlichungsdatum: | 20.02.2024 |
| EAN: | 9783031504730 |
| Sprache: | Englisch |
| Seitenzahl: | 102 |
| Produktart: | Gebunden |
| Herausgeber: | Downey, Austin Hemez, François Hoefnagels, Johan Kramer, Sharlotte L.B. Lattanzi, Attilio Mirshekari, Mostafa Retzlaff, Emily Rossi, Marco Thakre, Piyush |
| Verlag: | Springer International Publishing |
| Untertitel: | Proceedings of the 2023 Annual Conference & Exposition on Experimental and Applied Mechanics |
Produktinformationen "Additive and Advanced Manufacturing, Inverse Problem Methodologies and Machine Learning and Data Science, Volume 4"
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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