Recent Advances and Applications of Machine Learning in Metal Forming Processes

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Tác giả: Pereira André, Pedro Prates

Ngôn ngữ: eng

ISBN-13: 978-3036557717

ISBN-13: 978-3036557724

ISBN: books978-3-0365-5772-4

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Thông tin xuất bản: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022

Mô tả vật lý: 1 electronic resource (210 p.)

Bộ sưu tập: Tài liệu truy cập mở

ID: 373948

 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.
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