Digital Twinning for Manufacturing

Special Issue Editor


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Guest Editor
Mechanical Engineering, Teesside University, Middlesbrough TS1 3BX, UK
Interests: manufacturing; machining; material integrity; simulation
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Special Issue Information

Dear Colleagues,

We are pleased to invite you to contribute to a Special Issue focusing on digital twinning for manufacturing. This Special Issue aims to explore the latest advancements, applications, and innovations in digital twin technology and modeling within the realm of advanced manufacturing processes and systems.

Scope and Topics:

Digital twin technology has emerged as a transformative approach in the manufacturing sector, enabling the real-time monitoring, simulation, and optimization of manufacturing processes and systems. This Special Issue seeks to gather high-quality research papers that address, but are not limited to, the following topics:

  • Development and implementation of digital twin simulation models for manufacturing processes and for manufacturing systems and production lines;
  • Integration of digital twins with IoT, AI, and big data analytics;
  • Case studies and applications of digital twins in smart factories;
  • Predictive maintenance and real-time monitoring using digital twins;
  • Enhancing product lifecycle management through digital twin technology;
  • Challenges and future directions in digital twinning for manufacturing.

Submission Guidelines:

Authors are invited to submit original research articles, review papers, and case studies. All submissions will undergo a rigorous peer-review process to ensure the highest quality of published content. Manuscripts should be prepared according to the journal’s guidelines and submitted through the online submission system.

Dr. Ali Abdelhafeez Hassan
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 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 1800 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

  • advanced manufacturing
  • digital twin technology
  • smart factories
  • manufacturing processes and systems

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Further information on MDPI's Special Issue policies can be found here.

Published Papers (1 paper)

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Review

29 pages, 5293 KiB  
Review
Review of Applications of Digital Twins and Industry 4.0 for Machining
by Leonardo Rosa Ribeiro da Silva, Danil Yurievich Pimenov, Rosemar Batista da Silva, Ali Ercetin and Khaled Giasin
J. Manuf. Mater. Process. 2025, 9(7), 211; https://doi.org/10.3390/jmmp9070211 - 24 Jun 2025
Viewed by 1559
Abstract
Digital twins, as part of Industry 4.0, are critical for advanced smart manufacturing processes, including machining. Sensor systems in smart manufacturing allow for real-time tracking of all changes in the machining process as well as simulation of an object’s behavior in the real [...] Read more.
Digital twins, as part of Industry 4.0, are critical for advanced smart manufacturing processes, including machining. Sensor systems in smart manufacturing allow for real-time tracking of all changes in the machining process as well as simulation of an object’s behavior in the real world. It can also intervene and correct any defects that may arise during the machining process. The current review covers basic concepts for machining processes for the first time in detail, including Big Data, the Internet of Things, product lifecycle management, continuous acquisition and lifecycle support, machine learning, digital twin prototypes, digital twin instances, digital twin aggregates, and digital twin environments. The review article examines digital twins for the most common machining processes, such as turning, milling, drilling, and grinding. This review also highlights the benefits and drawbacks, as well as the prospects for using digital twins in smart manufacturing. Full article
(This article belongs to the Special Issue Digital Twinning for Manufacturing)
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