Feature Review Papers on Material Processing Technology

A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Material Processing Technology".

Deadline for manuscript submissions: closed (31 August 2024) | Viewed by 7284

Special Issue Editor

Special Issue Information

Dear Colleagues,

The processing of materials is a recurrent theme in the daily life of industry, from food through electronics to metalworking and advanced aerospace. In fact, technology and machines are found in the most varied production and processing lines for almost everything. Examples are processing technologies for chemicals, ores, ceramics and glass, metals (e.g., steel, aluminum, titanium), nanomaterials (e.g., graphene, nanofibers, nanofluids), polymers, composites (polymer matrix, metallic, natural fibers, etc.), wood and other natural products—even food and biological materials. Materials are processed by mechanical, chemical, electrical, light, and thermal means, such as pressing, welding, etc.

There are many possibilities for review papers for this Special Issue, including the following:

  • Recent Metal Processing Technologies;
  • Recent Thermoplastic Processing Technologies;
  • Advanced polymer welding technologies;
  • Laser material processing;
  • High pressure food processing;
  • Nanoscale manufacturing;
  • Robotics in materials processing;
  • The circular economy in materials processing;
  • Artificial intelligence systems in materials processing.

Prof. Dr. António Bastos Pereira
Guest Editor

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Published Papers (2 papers)

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Research

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16 pages, 7282 KiB  
Article
Study on Asymmetric Rolling Process Applied to Aluminum Alloy Sheets
by Gabriela Vincze, António B. Pereira, Diogo A. F. Lopes, Jesús M. V. Yánez and Marilena C. Butuc
Machines 2022, 10(8), 641; https://doi.org/10.3390/machines10080641 - 2 Aug 2022
Cited by 7 | Viewed by 2268
Abstract
Asymmetric rolling (ASR) is a method to manufacture sheet metals with the aim of improving material performance. The objective of the present work is to investigate the effect of asymmetric rolling on an aluminum alloy used in the automotive industry. To this end, [...] Read more.
Asymmetric rolling (ASR) is a method to manufacture sheet metals with the aim of improving material performance. The objective of the present work is to investigate the effect of asymmetric rolling on an aluminum alloy used in the automotive industry. To this end, three parameters of the process were studied, namely the asymmetry factor (1, symmetric rolling (SR) and 1.36, asymmetric rolling (AR)), the thickness reduction per pass (10%, 15%, and 30%), and the rolling routes (asymmetric continuous (ARC) and asymmetric reverse (ARR)). After rolling, the material was tested by uniaxial tensile tests to measure its strength and formability. The results show similarity between all the rolling conditions, with a considerable increase in strength and a drastic decrease in formability. In addition, a prediction of forming limit diagram using an FLD code based on Marciniak–Kuczynski analysis was used to investigate the FLD evolution with rolling. The code was capable to capture the variation in formability during the rolling process, showing that it is a reliable numerical tool. A reasonable combination of high strength and acceptable formability was achieved by an adequate heat treatment applied after rolling. Full article
(This article belongs to the Special Issue Feature Review Papers on Material Processing Technology)
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Other

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28 pages, 5917 KiB  
Systematic Review
Promoting Synergies to Improve Manufacturing Efficiency in Industrial Material Processing: A Systematic Review of Industry 4.0 and AI
by Md Sazol Ahmmed, Sriram Praneeth Isanaka and Frank Liou
Machines 2024, 12(10), 681; https://doi.org/10.3390/machines12100681 - 29 Sep 2024
Cited by 1 | Viewed by 4146
Abstract
The manufacturing industry continues to suffer from inefficiency, excessively high prices, and uncertainty over product quality. This statement remains accurate despite the increasing use of automation and the significant influence of Industry 4.0 and AI on industrial operations. This review details an extensive [...] Read more.
The manufacturing industry continues to suffer from inefficiency, excessively high prices, and uncertainty over product quality. This statement remains accurate despite the increasing use of automation and the significant influence of Industry 4.0 and AI on industrial operations. This review details an extensive analysis of a substantial body of literature on artificial intelligence (AI) and Industry 4.0 to improve the efficiency of material processing in manufacturing. This document includes a summary of key information (i.e., various input tools, contributions, and application domains) on the current production system, as well as an in-depth study of relevant achievements made thus far. The major areas of attention were adaptive manufacturing, predictive maintenance, AI-driven process optimization, and quality control. This paper summarizes how Industry 4.0 technologies like Cyber-Physical Systems (CPS), the Internet of Things (IoT), and big data analytics have been utilized to enhance, supervise, and monitor industrial activities in real-time. These techniques help to increase the efficiency of material processing in the manufacturing process, based on empirical research conducted across different industrial sectors. The results indicate that Industry 4.0 and AI both significantly help to raise manufacturing sector efficiency and productivity. The fourth industrial revolution was formed by AI, technology, industry, and convergence across different engineering domains. Based on the systematic study, this article critically explores the primary limitations and identifies potential prospects that are promising for greatly expanding the efficiency of smart factories of the future by merging Industry 4.0 and AI technology. Full article
(This article belongs to the Special Issue Feature Review Papers on Material Processing Technology)
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