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
Buch
- Proceedings of the 2023 Annual Conference & Exposition on Experimental and Applied Mechanics
- Herausgeber: Sharlotte L. B. Kramer, Emily Retzlaff, Piyush Thakre, Johan Hoefnagels, Austin Downey, Attilio Lattanzi, François Hemez, Mostafa Mirshekari, Marco Rossi
- Springer Nature Switzerland, 02/2024
- Einband: Gebunden, HC runder Rücken kaschiert
- Sprache: Englisch
- ISBN-13: 9783031504730
- Bestellnummer: 11769395
- Umfang: 112 Seiten
- Nummer der Auflage: 24001
- Auflage: 1st ed. 2024
- Gewicht: 548 g
- Maße: 285 x 215 mm
- Stärke: 12 mm
- Erscheinungstermin: 20.2.2024
- Serie: Conference Proceedings of the Society for Experimental Mechanics Series
Achtung: Artikel ist nicht in deutscher Sprache!
Klappentext
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
