Review of Applications of Digital Twins and Industry 4.0 for Machining

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.

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Publication Details

Journal
Journal of Manufacturing and Materials Processing
Published
2025-06-24
DOI
https://doi.org/10.3390/jmmp9070211
Citations
7
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
8.70
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article

Review of Applications of Digital Twins and Industry 4.0 for Machining

Rosemar Batista da Silva, Khaled Giasin, Danil Yurievich Pimenov, Leonardo Rosa Ribeiro da Silva et al.
7 citations
Journal of Manufacturing and Materials Processing
Digital Transformation in Industry
8.70
article

Review of Applications of Digital Twins and Industry 4.0 for Machining

Rosemar Batista da Silva, Khaled Giasin, Danil Yurievich Pimenov, Leonardo Rosa Ribeiro da Silva, Ali Erçetin
article en
7 citations

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 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.

Journal of Manufacturing and Materials ProcessingVol. 9(7)
South Ural State University (RU), Bandırma Onyedi Eylül University (TR), University of Portsmouth (GB), Universidade Federal de Uberlândia (BR)
Openalex Percentile: Top 2%
Digital Transformation in Industry
8.70
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