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.
Edited by:
Pedro Prates, Andre Pereira Imprint: Mdpi AG Dimensions:
Height: 244mm,
Width: 170mm,
Spine: 18mm
Weight: 653g ISBN:9783036557717 ISBN 10: 3036557717 Pages: 210 Publication Date:18 November 2022 Audience:
General/trade
,
ELT Advanced
Format:Hardback Publisher's Status: Active