TY - JOUR
T1 - Review of applications of digital twins and Industry 4.0 for machining
AU - da Silva, Leonardo Rosa Ribeiro
AU - Pimenov, Danil Yurievich
AU - da Silva, Rosemar Batista
AU - Ercetin, Ali
AU - Giasin, Khaled
N1 - Publisher Copyright:
© 2025 by the authors.
PY - 2025/7/1
Y1 - 2025/7/1
N2 - 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.
AB - 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.
KW - digital twin
KW - Industry 4.0
KW - machining
KW - smart manufacturing
UR - https://www.scopus.com/pages/publications/105011671696
U2 - 10.3390/jmmp9070211
DO - 10.3390/jmmp9070211
M3 - Article
AN - SCOPUS:105011671696
SN - 2504-4494
VL - 9
JO - Journal of Manufacturing and Materials Processing
JF - Journal of Manufacturing and Materials Processing
IS - 7
M1 - 211
ER -