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Recent Advances and Applications of Machine Learning in Metal Forming Processes

Pedro Prates Andre Pereira

$129.95   $103.71

Hardback

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

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