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Review of applications of digital twins and Industry 4.0 for machining

  • Leonardo Rosa Ribeiro da Silva*
  • , Danil Yurievich Pimenov*
  • , Rosemar Batista da Silva
  • , Ali Ercetin
  • , Khaled Giasin
  • *Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

571 Downloads (Pure)

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.

Original languageEnglish
Article number211
Number of pages29
JournalJournal of Manufacturing and Materials Processing
Volume9
Issue number7
Early online date24 Jun 2025
DOIs
Publication statusPublished - 1 Jul 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Keywords

  • digital twin
  • Industry 4.0
  • machining
  • smart manufacturing

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