Recent Advances and Applications of Machine Learning in Metal Forming Processes - Rilegato

Rilegato

ISBN 10: 3036557717 ISBN 13: 9783036557717

Casa editrice: MDPI AG, 2022

Riassunto

Machine learning (ML) technologies are emerging in Mechanical Engineering, driven by the increasing availability of datasets, coupled with the exponential growth in computer performance. In fact, there has been a growing interest in evaluating the capabilities of ML algorithms to approach topics related to metal forming processes, such as:

Classification, detection and prediction of forming defects;

Material parameters identification;

Material modelling;

Process classification and selection;

Process design and optimization.

The purpose of this Special Issue is to disseminate state-of-the-art ML applications in metal forming processes, covering 10 papers about the abovementioned and related topics.

Dettagli dell?edizione

• Editore: MDPI AG
• Data di pubblicazione: 2022
• Lingua: Inglese
• ISBN 10: 3036557717
• ISBN 13: 9783036557717
• Rilegatura: Copertina rigida
• Numero di pagine: 210
• Redattore: Prates Pedro, Pereira Andre
• Contatto del produttore: non disponibile
• Persona responsabile: non disponibile