Physics-Informed Modeling and Fusion Control in Intelligent Manufacturing

Dear Colleagues,

Given the opportunities presented by the Internet of Things (IoT) and sensor networks, as well as the challenges posed by extreme conditions in intelligent manufacturing, the essence of physics-informed modeling and fusion control lies in addressing the bottleneck issues of traditional pure physical-based models and data-driven models, i.e., the interpretability of physical laws and adaptability of complex scenarios, ultimately ensuring the high-precision control of the cutting process, efficient production, and high reliability. In particular, the physics-informed modeling and fusion control has emerged as a promising direction for the "perception-diagnosis-decision-control" closed-loop system of intelligent cutting, for example, the prediction and closed-loop control of cutting force, cutting temperature, tool wear, and the surface quality of the workpiece, which integrates the data-driven fitting capability with the constraint information of physical laws. This Special Issue will address and report on recent advances and new breakthrough regarding physics-informed modeling and fusion control in intelligent manufacturing.

Authors are encouraged to submit studies covering theoretical research, simulation testing and practical applications.

Dr. Qing Li
Dr. Yu Shao
Dr. Xiang Chen
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Manufacturing and Materials Processing is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• physics-informed modeling with advanced AI learning
• machining physical laws with physics-informed neural networks
• machining modeling with small sample and physical priors
• thermal–hydraulic coupling control
• tool life prediction and health management
• fault detection, redundant decision and adaptive control in intelligent manufacturing
• physics-informed modeling for milling/machining chatter
• tool wear and degradation prognosis
• physics-informed models for tool wear identification