IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i10p4158-d1395441.html
   My bibliography  Save this article

A Human–Machine Interaction Mechanism: Additive Manufacturing for Industry 5.0—Design and Management

Author

Listed:
  • Sunanda Rani

    (School of Art & Design, Wuhan University of Technology, Wuhan 430070, China)

  • Dong Jining

    (School of Art & Design, Wuhan University of Technology, Wuhan 430070, China)

  • Khadija Shoukat

    (School of Management, Wuhan University of Technology, Wuhan 430062, China)

  • Muhammad Usman Shoukat

    (School of Automotive Engineering, Wuhan University of Technology, Wuhan 430070, China)

  • Saqib Ali Nawaz

    (School of Information and Communication Engineering, Hainan University, Haikou 570228, China)

Abstract

Industry 5.0 is an emerging value-driven manufacturing model in which human–machine interface-oriented intelligent manufacturing is one of the core concepts. Based on the theoretical human–cyber–physical system (HCPS), a reference framework for human–machine collaborative additive manufacturing for Industry 5.0 is proposed. This framework establishes a three-level product–economy–ecology model and explains the basic concept of human–machine collaborative additive manufacturing by considering the intrinsic characteristics and functional evolution of additive manufacturing technology. Key enabling technologies for product development process design are discussed, including the Internet of Things (IoT), artificial intelligence (AI), digital twin (DT) technology, extended reality, and intelligent materials. Additionally, the typical applications of human–machine collaborative additive manufacturing in the product, economic, and ecological layers are discussed, including personalized product design, interactive manufacturing, human–machine interaction (HMI) technology for the process chain, collaborative design, distributed manufacturing, and energy conservation and emission reductions. By developing the theory of the HCPS, for the first time its core concepts, key technologies, and typical scenarios are systematically elaborated to promote the transformation of additive manufacturing towards the Industry 5.0 paradigm of human–machine collaboration and to better meet the personalized needs of users.

Suggested Citation

  • Sunanda Rani & Dong Jining & Khadija Shoukat & Muhammad Usman Shoukat & Saqib Ali Nawaz, 2024. "A Human–Machine Interaction Mechanism: Additive Manufacturing for Industry 5.0—Design and Management," Sustainability, MDPI, vol. 16(10), pages 1-24, May.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:10:p:4158-:d:1395441
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/10/4158/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/16/10/4158/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ketao Zhang & Pisak Chermprayong & Feng Xiao & Dimos Tzoumanikas & Barrie Dams & Sebastian Kay & Basaran Bahadir Kocer & Alec Burns & Lachlan Orr & Talib Alhinai & Christopher Choi & Durgesh Dattatray, 2022. "Aerial additive manufacturing with multiple autonomous robots," Nature, Nature, vol. 609(7928), pages 709-717, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Arjun Prihar & Shashank Gupta & Hadi S. Esmaeeli & Reza Moini, 2024. "Tough double-bouligand architected concrete enabled by robotic additive manufacturing," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    2. Huawei Qu & Chongjian Gao & Kaizheng Liu & Hongya Fu & Zhiyuan Liu & Paul H. J. Kouwer & Zhenyu Han & Changshun Ruan, 2024. "Gradient matters via filament diameter-adjustable 3D printing," Nature Communications, Nature, vol. 15(1), pages 1-13, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:16:y:2024:i:10:p:4158-:d:1395441. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.