Special Issue "Industry 4.0: Manufacturing and Materials Processing"

A special issue of Journal of Manufacturing and Materials Processing (ISSN 2504-4494).

Deadline for manuscript submissions: 30 April 2023 | Viewed by 3853

Special Issue Editor

Dr. Yashar Javadi
E-Mail Website
Guest Editor
University of Strathclyde Chancellor’s Fellow (Lecturer), Joint Appointment at Department of Electronic & Electrical Engineering (EEE) and Department of Design, Manufacturing & Engineering Management (DMEM)
Office1 (EEE): Technology and Innovation Centre (Level 7), 99 George Street, Glasgow G1 1RD, UK
Office 2 (DMEM): James Weir Building (Level 7), 75 Montrose Street, Glasgow G1 1XJ, UK
Interests: welding technology; NDT; residual stress; additive manufacturing; robotics
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Industry 4.0 (Fourth Industrial Revolution) is a further development stage in the organisation and management of the entire manufacturing industry, from ‎‎embedded systems to cyber-physical systems. In this approach, machines no longer process the products; instead, the ‎products communicate with the machine and tell it ‎what to do.‎

In this Special Issue, we are keen to publish robust papers discussing any relevant Industry 4.0 approach. This can include but is not limited to, developments in "manufacturing", "material processing", "robotics", "inspection", "quality control", "welding", "additive manufacturing", "nondestructive testing/evaluation", "hybrid manufacturing and inspection", "structural integrity", "advanced materials", "material evaluation", etc. The authors are recommended to include discussions directly relevant to Industry 4.0, however, the papers addressing other topics, which can be potentially corresponded to Industry 4.0 (like robotics), will also be considered.

Dr. Yashar Javadi
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. Journal of Manufacturing and Materials Processing 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 1600 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.

Published Papers (3 papers)

Order results
Result details
Select all
Export citation of selected articles as:

Research

Jump to: Review

Communication
Effect of Welding Orientation in Angular Distortion in Multipass GMAW
J. Manuf. Mater. Process. 2021, 5(2), 63; https://doi.org/10.3390/jmmp5020063 - 18 Jun 2021
Cited by 1 | Viewed by 1003
Abstract
The use of the welding process on an industrial scale has become significant over the years and is currently among the main processes for joining metallic materials. Along the weld, structural changes occur in the vicinity of the joint. These thermal stresses and [...] Read more.
The use of the welding process on an industrial scale has become significant over the years and is currently among the main processes for joining metallic materials. Along the weld, structural changes occur in the vicinity of the joint. These thermal stresses and geometric distortions are mostly undesirable and are complex to predict with precision. Using S235JR steel as the base material, laboratory experiments were carried out using the multipass GMAW process, with the aim of investigating the influence of the welding direction on angular distortion. To measure the distortions, a methodology was applied using equipment to identify the coordinates in the operational space with metrological precision. Through metrological and statistical analyses, we found that the orientation factor significantly influenced the final distortions and that the alternated orientation sequence resulted in less distortions. Full article
(This article belongs to the Special Issue Industry 4.0: Manufacturing and Materials Processing)
Show Figures

Figure 1

Review

Jump to: Research

Review
Insight into the Expected Impact of Sustainable Development in the Context of Industry 4.0: A Documentary Analysis Approach Based on Multiple Case Studies across the World
J. Manuf. Mater. Process. 2022, 6(3), 55; https://doi.org/10.3390/jmmp6030055 - 20 May 2022
Viewed by 633
Abstract
Although industry 4.0 has gained increased attention in the industry, academic, and governmental fields, there is a lack of information about the relationship between this digital transformation and sustainable development. This work explores the concept of sustainability applied in industry 4.0 and the [...] Read more.
Although industry 4.0 has gained increased attention in the industry, academic, and governmental fields, there is a lack of information about the relationship between this digital transformation and sustainable development. This work explores the concept of sustainability applied in industry 4.0 and the main advantages that this revolution incorporates into society. To this end, a conscientiously documented investigation was conducted by reviewing actual case studies or scenarios where sustainability was applied in different manufacturing industries, enterprises, or research fields worldwide. A critical and descriptive analysis of the information was performed to identify the main tools and procedures that can be implemented in the industry to address the triple bottom line perspective of industry 4.0, and the results are presented in this document. From the analysis, it was observed that currently, I4.0 has been mainly adopted to improve efficiency and cost reduction in manufacturing companies. However, since only a few enterprises embrace the social paradigm of I4.0, a significant gap in understanding and unbalance is visualized. Therefore, we conclude that there is a lack of information on social benefits and the barriers that must be overcome from the social perspective. On the other hand, this work highlights the importance of adopting industry 4.0 as a positive way to improve the performance of emerging technologies, such as fuel cells, solar cells, and wind turbines, while producing products or services with high efficiency and profitability incomes. For practitioners, this work can provide insightful information about the real implications of I4.0 from a sustainability perspective in our daily life and the possible strategies to improve sustainable development. Full article
(This article belongs to the Special Issue Industry 4.0: Manufacturing and Materials Processing)
Show Figures

Figure 1

Review
Causal Discovery in Manufacturing: A Structured Literature Review
J. Manuf. Mater. Process. 2022, 6(1), 10; https://doi.org/10.3390/jmmp6010010 - 14 Jan 2022
Cited by 3 | Viewed by 1336
Abstract
Industry 4.0 radically alters manufacturing organization and management, fostering collection and analysis of increasing amounts of data. Advanced data analytics, such as machine learning (ML), are essential for implementing Industry 4.0 and obtaining insights regarding production, better decision support, and enhanced manufacturing quality [...] Read more.
Industry 4.0 radically alters manufacturing organization and management, fostering collection and analysis of increasing amounts of data. Advanced data analytics, such as machine learning (ML), are essential for implementing Industry 4.0 and obtaining insights regarding production, better decision support, and enhanced manufacturing quality and sustainability. ML outperforms traditional approaches in many cases, but its complexity leads to unclear bases for decisions. Thus, acceptance of ML and, concomitantly, Industry 4.0, is hindered due to increasing requirements of fairness, accountability, and transparency, especially in sensitive-use cases. ML does not augment organizational knowledge, which is highly desired by manufacturing experts. Causal discovery promises a solution by providing insights on causal relationships that go beyond traditional ML’s statistical dependency. Causal discovery has a theoretical background and been successfully applied in medicine, genetics, and ecology. However, in manufacturing, only experimental and scattered applications are known; no comprehensive overview about how causal discovery can be applied in manufacturing is available. This paper investigates the state and development of research on causal discovery in manufacturing by focusing on motivations for application, common application scenarios and approaches, impacts, and implementation challenges. Based on the structured literature review, four core areas are identified, and a research agenda is proposed. Full article
(This article belongs to the Special Issue Industry 4.0: Manufacturing and Materials Processing)
Show Figures

Figure 1

Back to TopTop