JOM Editorial Calendar - Topic Details

Machine Learning Applications in Advanced Manufacturing Processes

Manuscript Submission Deadline: June 01, 2020
Guest Editor: Donna Guillen
Co-Guest Editors: Edward Herderick
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Publication Date: November 2020
Keywords: Additive manufacturing, computational materials science & engineering, digital manufacturing, process control
Scope: Machine learning holds tremendous promise for revolutionizing modern manufacturing, from conventional operations to new advanced manufacturing processes, such as additive manufacturing. This special topic focuses on reducing waste, energy usage and carbon emissions, and spurring innovation in materials development and production. Advances in digital manufacturing, process control, predictive maintenance, and automation can be realized by integration of data analytics and validated models to ensure product quality, optimize operations, enhance productivity, and improve efficiency.
Call for Papers: Download

How to Submit a Manuscript

Please read the detailed Instructions for Authors and upload your manuscript at the Editorial Manager website for JOM. To ensure sufficient time for peer review, papers will not be accepted after the posted manuscript submission deadline. Original research papers should be 3,000-9,000 words with up to 12 figures maximum; review papers should be 6,000-11,000 words with up to 20 figures maximum.

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