Artificial Intelligence in Mechanical Engineering Applications
A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Advanced Manufacturing".
Deadline for manuscript submissions: 31 August 2026 | Viewed by 72
Special Issue Editors
Interests: manufacturing/machining; CAD/CAM/CAE systems; computational design; artificial intelligence (AI); additive manufacturing (AM); reverse engineering and prototyping
Special Issues, Collections and Topics in MDPI journals
Interests: design of high precision machines; ultraprecision machining systems; micro-cutting mechanics and physics; multiscale multiphysics modelling and analysis; smart cutting tools and smart machining; physical AI for manufacturing systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
We are pleased to announce a Special Issue entitled “Artificial Intelligence in Mechanical Engineering Applications” in Machines. The aim of this Special Issue is to bring together high-quality contributions in the areas of mechanical design and manufacturing that employ artificial intelligence tools and algorithms. All accepted papers will undergo rigorous peer review and, upon acceptance, will be published with full open access.
Potential topics include, but are not limited to, the following:
- AI-driven design optimization in mechanical engineering design;
- Artificial intelligence in smart manufacturing and Industry 4.0;
- AI-based structural health monitoring and predictive maintenance;
- Generative AI in conceptual design and prototyping;
- CAD/CAM/CAE and FEA (finite element analysis);
- Digital twins in mechanical engineering and cyberphysical systems;
- AI in additive manufacturing and 3D printing optimization;
- Computer vision for quality inspection and defect detection in mechanical products;
- Intelligent scheduling/process planning in mechanical production systems and reinforcement learning for autonomous mechanical systems;
- Data-driven optimization of energy systems in mechanical engineering and smart building mechanical systems;
- AI-assisted material science and smart alloys development;
- Intelligent control systems for robotics and mechatronics;
- AI for multi-scale modeling of mechanical materials and structures;
- AI-enhanced human–robot collaboration in mechanical tasks;
- AI for Lightweight structural design and topology optimization;
- AI-powered human–machine interaction in mechanical systems;
- Humanoid robotic manufacturing systems and physical AI.
Prof. Dr. Panagiotis Kyratsis
Prof. Dr. Kai Cheng
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. Machines 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 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.
Keywords
- artificial intelligence
- AI-assisted manufacturing
- human–machine interaction
- multi-scale modeling
- data-driven optimization
- intelligent scheduling/process planning
- generative AI
- AI-driven applications
- AI in additive manufacturing
- physical AI for mechanical engineering
- humanoid robotic manufacturing systems
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