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Intelligent Processing Technology of Materials

A special issue of Materials (ISSN 1996-1944). This special issue belongs to the section "Manufacturing Processes and Systems".

Deadline for manuscript submissions: 20 October 2024 | Viewed by 77

Special Issue Editor


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Guest Editor
Gradual School of Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, Japan
Interests: advanced processing technology of materials; laser-material interaction; intelligent monitoring technology; modelling and simulation; intelligent control

Special Issue Information

Dear Colleagues,

The intelligent processing technology of materials is a valuable and interesting methodology used for simulating and controlling the processing of materials, which requires strong power to achieve the precise and efficient processing of high-performance components. It enables intelligent behavior in the machining system, including the modelling, sensing, processing optimization, and control of process variables and performance, as well as the monitoring and feedback technology of the process. It has been widely applied in the processing of metals, non-metallic materials, and composite materials.

The main purpose of this Special Issue “Intelligent Processing Technology of Materials” is to showcase the benefits of applying artificial intelligence, machine/deep learning, intelligent algorithms, and intelligent monitoring technology to the processing of materials. Different processing technologies of materials, such as high-precision machining, non-traditional machining, additive manufacturing, forming, and so on are all welcome. I am pleased to invite researchers to contribute original research articles and review articles. Potential research areas may include (but are not limited to) the following:

  • Intelligent control systems;
  • Model-based intelligent process optimizations;
  • Machine/deep learning methods applied to the processing of materials;
  • Intelligent monitoring and feedback technology;
  • The intelligent optimization of processing parameters;
  • Big data and cloud-based processing.

I look forward to receiving your contributions.

Dr. Yanming Zhang
Guest Editor

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. Materials 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 2600 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

  • control system
  • modelling
  • machine/deep learning
  • monitoring
  • parameter optimization
  • big data

Published Papers

This special issue is now open for submission.
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