Recent Advances and Applications of Machine Learning in Metal Forming Processes

<p>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:</p><p>Classification detection and prediction of forming defects;</p><p>Material parameters identification;</p><p>Material modelling;</p><p>Process classification and selection;</p><p>Process design and optimization.</p><p>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.</p>