Special Issue "Intelligent Production and Manufacturing Systems"

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Industrial Technologies".

Deadline for manuscript submissions: 31 August 2023 | Viewed by 508

Special Issue Editors

College of Mechanical and Vehicle Engineering, Chongqing University, Chongqing 400044, China
Interests: intelligent manufacturing; high-performance machining; process planning
Special Issues, Collections and Topics in MDPI journals
Digital Supply Chain, Advanced Remanufacturing and Technology Centre, Agency for Science, Technology and Research (A*STAR), Singapore 637143, Singapore
Interests: supply chain management; sustainable manufacturing; intelligent manufacturing; advanced manufacturing
1. State Key Laboratory of Fluid Power and Mechatronic Systems, School of Mechanical Engineering, Zhejiang University, Hangzhou 310027, China
2. Key Laboratory of Advanced Manufacturing Technology of Zhejiang Province, School of Mechanical Engineering, Zhejiang University, Hangzhou 310027, China
Interests: additive manufacturing; process planning; robotics
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We invite submissions to the Special Issue on Intelligent Production and Manufacturing Systems.

Intelligent manufacturing integrates new-generation information technologies (Digital twin, deep learning, and so on) and advanced manufacturing technologies. It has been the trend in manufacturing technologies. Presently, a huge number of researchers have been dedicated to this area. Therefore, “Intelligent manufacturing and manufacturing system”, has been proposed and aims to cover the recent advances and future perspectives related to intelligent manufacturing, including manufacturing systems, supply chains, process planning and scheduling in the machining process, and additive manufacturing. The Special Issue welcomes outstanding research papers and review articles devoted to innovative methods for advanced modeling, planning, optimization, control, and monitoring technologies with the help of new-generation information technologies in the field of intelligent manufacturing and manufacturing systems.

In particular, the topics of interest include but are not limited to:

  • Intelligent manufacturing;
  • Digital twin in manufacturing;
  • Supply chain;
  • Manufacturing system;
  • Intelligent tool design;
  • Process planning;
  • Process optimization;
  • Production scheduling;
  • Modeling of the machining process;
  • Additive manufacturing.

Dr. Sibao Wang
Dr. Ning Liu
Dr. Kai Ren
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 2300 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

  • intelligent manufacturing
  • supply chain
  • digital twin
  • sustainable manufacturing
  • manufacturing process modelling and optimization

Published Papers (1 paper)

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Research

Article
Ultra-Precision Cutting Mechanism of KDP Crystal in Microplastic Region via Heating Assistance
Appl. Sci. 2023, 13(12), 6865; https://doi.org/10.3390/app13126865 - 06 Jun 2023
Viewed by 344
Abstract
The application range of potassium dihydrogen phosphate (KDP) crystals can be expanded by enhancing their surface quality properties. Therefore, a method for controlling the surface-temperature field of various materials was developed to expand the plastic zone to overcome the difficulty in processing KDP [...] Read more.
The application range of potassium dihydrogen phosphate (KDP) crystals can be expanded by enhancing their surface quality properties. Therefore, a method for controlling the surface-temperature field of various materials was developed to expand the plastic zone to overcome the difficulty in processing KDP crystals. The ductile/brittle transition depth of the KDP crystals was determined using a 38 nm nanoindentation experiment. The nanoscratch experiment revealed the rules of how the transformation depth of the KDP crystals changes with temperatures, and the effect of temperature on the microstructure of the KDP crystals was studied. Finally, KDP crystal surfaces were processed using a UPDFC machine at elevated temperatures. According to our experiments, the surface roughness of the KDP crystal reached 5.275 nm as temperature increased, thus enhancing its surface quality. This method could be applied to other brittle materials. Full article
(This article belongs to the Special Issue Intelligent Production and Manufacturing Systems)
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