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A review of Industry 4.0 and additive manufacturing synergy

journal contribution
posted on 2024-11-02, 22:32 authored by Amirmahyar KhorasaniAmirmahyar Khorasani, Jennifer Loy, Elmira Gharehzadeh SharabianElmira Gharehzadeh Sharabian, Martin LearyMartin Leary, Hamed Mirafzal
Purpose: This paper reviews the synergy of Industry 4.0 and additive manufacturing (AM) and discusses the integration of data-driven manufacturing systems and product service systems as a key component of the Industry 4.0 revolution. This paper aims to highlight the potential effects of Industry 4.0 on AM via tools such as digitalisation, data transfer, tagging technology, information in Industry 4.0 and intelligent features. Design/methodology/approach: In successive phases of industrialisation, there has been a rise in the use of, and dependence on, data in manufacturing. In this review of Industry 4.0 and AM, the five pillars of success that could see the Internet of Things (IoT), artificial intelligence, robotics and materials science enabling new levels of interactivity and interdependence between suppliers, producers and users are discussed. The unique effects of AM capabilities, in particular mass customisation and light-weighting, combined with the integration of data and IoT in Industry 4.0, are studied for their potential to support higher efficiencies, greater utility and more ecologically friendly production. This research also illustrates how the digitalisation of manufacturing for Industry 4.0, through the use of IoT and AM, enables new business models and production practices. Findings: The discussion illustrates the potential of combining IoT and AM to provide an escape from the constraints and limitations of conventional mass production whilst achieving economic and ecological savings. It should also be noted that this extends to the agile design and fabrication of increasingly complex parts enabled by simulations of complex production processes and operating systems. This paper also discusses the relationship between Industry 4.0 and AM with respect to improving the quality and robustness of product outcomes, based on real-time data/feedback. Originality/value: This research shows how a combined approach to research into IoT and AM can create a ste

History

Related Materials

  1. 1.
    DOI - Is published in 10.1108/RPJ-08-2021-0194
  2. 2.
    ISSN - Is published in 13552546

Journal

Rapid Prototyping Journal

Volume

28

Issue

8

Start page

1462

End page

1475

Total pages

14

Publisher

Emerald

Place published

United Kingdom

Language

English

Copyright

© 2022 Emerald Publishing Limited

Former Identifier

2006119224

Esploro creation date

2023-04-28