Frontiers in Manufacturing Processes Based on Artificial Intelligence Techniques
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Electrical, Electronics and Communications Engineering".
Deadline for manuscript submissions: closed (10 November 2021) | Viewed by 670
Special Issue Editors
Interests: characterization, modelling and control of mechanical systems comprising material and geometrical nonlinearities; Tool Wear; Condition Monitoring; cutting force
Special Issues, Collections and Topics in MDPI journals
Interests: abrasive machining; metal additive manufacturing; tribology; applied machine learning; condition monitoring; signal processing; predictive modelling; industrial internet of things
Special Issue Information
Dear Colleagues,
Ever-rising complexity, diversity, and responsivity in manufacturing have evoked new challenges to industrial companies. More efficient, flexible, and self-regulating manufacturing approaches are urgently required to satisfy this increased volatility. Against this backdrop, a new paradigm shift towards developing a fully digitalized manufacturing industry has been initiated worldwide.
However, complex interactions in the machining zone cause significant challenges in its deployment due to the unmodelled dynamics and uncertainties as well as some less-understood mechanical processes. Given the advances in sensor technologies, the processes can now be sensorized, and the vast amount of data produced can be exploited to model and monitor the processes using Artificial Intelligence (AI) techniques. Data-driven models have turned into a hot topic in engineering with the rise of machine learning and deep learning algorithms, which have greatly spread all through the academic community.
This Special Issue focuses on the application of Artificial Intelligence on manufacturing processes for various targets that include, but are not limited to, intelligent manufacturing, monitoring, digital twins, diagnostics, and prognostics. This includes original theoretical work and application-based studies on the application of AI, encompassing a wide range of processes associated with manufacturing applications.
All manuscripts are pre-reviewed by the editor, and if appropriate, sent for blind peer review. Contributions must be original, not previously or simultaneously published elsewhere, and are critically reviewed before they are published.
Dr. Tegoeh Tjahjowidodo
Dr. Vigneashwara Pandiyan
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. Applied Sciences is an international peer-reviewed open access semimonthly 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 2400 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.
