Значок книги

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 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...

Полное описание

Сохранить в:
Библиографические подробности
Соавтор: SpringerLink (Online service)
Другие авторы: Kramer, Sharlotte L.B (Редактор), Retzlaff, Emily (Редактор), Thakre, Piyush (Редактор), Hoefnagels, Johan (Редактор), Rossi, Marco (Редактор), Lattanzi, Attilio (Редактор), Hemez, François (Редактор), Mirshekari, Mostafa (Редактор), Downey, Austin (Редактор)
Формат: Электронный ресурс eКнига
Язык:английский
Опубликовано: Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Редактирование:1st ed. 2024.
Серии:Conference Proceedings of the Society for Experimental Mechanics Series,
Предметы:
Industrial engineering.
Production engineering.
Machine learning.
Artificial intelligence > Data processing.
Materials > Analysis.
Industrial and Production Engineering.
Machine Learning.
Data Science.
Materials Characterization Technique.
Online-ссылка:https://doi.org/10.1007/978-3-031-50474-7
Метки: Добавить метку
Нет меток, Требуется 1-ая метка записи!
Описание
Итог: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.
Объем:1 online resource (VII, 102 p. 86 illus.). 73 illus. in color.
ISBN:9783031504747
ISSN:2191-5652
DOI:10.1007/978-3-031-50474-7

Схожие документы