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 als...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-06-01
|
| Series: | Journal of Manufacturing and Materials Processing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2504-4494/9/7/211 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849406744423301120 |
|---|---|
| author | Leonardo Rosa Ribeiro da Silva Danil Yurievich Pimenov Rosemar Batista da Silva Ali Ercetin Khaled Giasin |
| author_facet | Leonardo Rosa Ribeiro da Silva Danil Yurievich Pimenov Rosemar Batista da Silva Ali Ercetin Khaled Giasin |
| author_sort | Leonardo Rosa Ribeiro da Silva |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-92558a2feb044eb8a1f11b5e2e66dada |
| institution | Kabale University |
| issn | 2504-4494 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Manufacturing and Materials Processing |
| spelling | doaj-art-92558a2feb044eb8a1f11b5e2e66dada2025-08-20T03:36:18ZengMDPI AGJournal of Manufacturing and Materials Processing2504-44942025-06-019721110.3390/jmmp9070211Review of Applications of Digital Twins and Industry 4.0 for MachiningLeonardo Rosa Ribeiro da Silva0Danil Yurievich Pimenov1Rosemar Batista da Silva2Ali Ercetin3Khaled Giasin4School of Mechanical Engineering, Federal University of Uberlândia, Campus Santa Mônica, Av. João Naves de Ávila, 2121, Uberlândia 38408-144, MG, BrazilDepartment of Automated Mechanical Engineering, South Ural State University, Lenin Prosp. 76, Chelyabinsk 454080, RussiaSchool of Mechanical Engineering, Federal University of Uberlândia, Campus Santa Mônica, Av. João Naves de Ávila, 2121, Uberlândia 38408-144, MG, BrazilDepartment of Naval Architecture and Marine Engineering, Maritime Faculty, Bandırma Onyedi Eylül University, Bandırma 10200, TürkiyeSchool of Electrical and Mechanical Engineering, University of Portsmouth, Portsmouth PO1 3DJ, UKDigital 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.https://www.mdpi.com/2504-4494/9/7/211digital twinIndustry 4.0machiningsmart manufacturing |
| spellingShingle | Leonardo Rosa Ribeiro da Silva Danil Yurievich Pimenov Rosemar Batista da Silva Ali Ercetin Khaled Giasin Review of Applications of Digital Twins and Industry 4.0 for Machining Journal of Manufacturing and Materials Processing digital twin Industry 4.0 machining smart manufacturing |
| title | Review of Applications of Digital Twins and Industry 4.0 for Machining |
| title_full | Review of Applications of Digital Twins and Industry 4.0 for Machining |
| title_fullStr | Review of Applications of Digital Twins and Industry 4.0 for Machining |
| title_full_unstemmed | Review of Applications of Digital Twins and Industry 4.0 for Machining |
| title_short | Review of Applications of Digital Twins and Industry 4.0 for Machining |
| title_sort | review of applications of digital twins and industry 4 0 for machining |
| topic | digital twin Industry 4.0 machining smart manufacturing |
| url | https://www.mdpi.com/2504-4494/9/7/211 |
| work_keys_str_mv | AT leonardorosaribeirodasilva reviewofapplicationsofdigitaltwinsandindustry40formachining AT danilyurievichpimenov reviewofapplicationsofdigitaltwinsandindustry40formachining AT rosemarbatistadasilva reviewofapplicationsofdigitaltwinsandindustry40formachining AT aliercetin reviewofapplicationsofdigitaltwinsandindustry40formachining AT khaledgiasin reviewofapplicationsofdigitaltwinsandindustry40formachining |