Special Issue "Smart Processes for Machines, Maintenance and Manufacturing Processes"

A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Machine Design and Theory".

Deadline for manuscript submissions: 15 October 2023 | Viewed by 288

Special Issue Editors

School of Mechanical and Manufacturing, University of New South Wales, Sydney, Australia
Interests: advanced machining; advanced composites; computer vision, artificial intelligence; design and optimization
Special Issues, Collections and Topics in MDPI journals
School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China
Interests: intelligent manufacturing; industrial knowledge graph; quality control and root cause analysis; digital twin

Special Issue Information

Dear Colleagues,

Machine intelligence, maintenance and manufacturing processes have become some of the important directions for the development of the manufacturing industry.

In this Special Issue, we focus on smart processes for machines, maintenance and manufacturing processes. We are seeking papers on all kinds of engineering designs assisted by artificial intelligence (AI) and computer vision/digital twins/knowledge graph, with a clear contribution to the advancement in the discipline. The research work can include, but is not limited to, any branch of mechanical design, maintenance, self-optimizing manufacturing process, 3D generation, micro electro mechanical systems (MEMS) and optical measurements.

Original research papers, review articles and short communications are all welcome.

Possible topics include, but are not limited to, the following:

  • Computer vision (computer vision in equipment monitoring).
  • Mechanical design.
  • Machine learning/deep learning.
  • Precision manufacturing.
  • Artificial intelligence in manufacturing processes.
  • Smart maintenance method based on knowledge analytics.
  • Digital twin-driven method for equipment health status assessment and fault prediction.
  • Knowledge graph-driven quality control and analysis for equipment operation and maintenance.

Dr. Binayak Bhandari
Dr. Bin Zhou
Prof. Dr. Jinsong Bao
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.


  • digital twins
  • smart manufacturing
  • artificial intelligence (AI)
  • augmented reality (AR)
  • additive manufacturing
  • cloud and edge computing in manufacturing
  • structural health monitoring
  • robotics and automation
  • predictive/ preventive maintenance
  • autonomous systems
  • quality control and root cause analysis
  • sustainable manufacturing
  • advanced manufacturing
  • industrial knowledge graph
  • cognitive manufacturing

Published Papers

This special issue is now open for submission.
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