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  1. Article: A digital twin ecosystem for additive manufacturing using a real-time development platform.

    Pantelidakis, Minas / Mykoniatis, Konstantinos / Liu, Jia / Harris, Gregory

    The International journal, advanced manufacturing technology

    2022  Volume 120, Issue 9-10, Page(s) 6547–6563

    Abstract: Additive manufacturing is often used in rapid prototyping and manufacturing, allowing the creation of lighter, more complex designs that are difficult or too expensive to build using traditional manufacturing methods. This work considers the ... ...

    Abstract Additive manufacturing is often used in rapid prototyping and manufacturing, allowing the creation of lighter, more complex designs that are difficult or too expensive to build using traditional manufacturing methods. This work considers the implementation of a novel digital twin ecosystem that can be used for testing, process monitoring, and remote management of an additive manufacturing-fused deposition modeling machine in a simulated virtual environment. The digital twin ecosystem is comprised of two approaches. One approach is data-driven by an open-source 3D printer web controller application that is used to capture its status and key parameters. The other approach is data-driven by externally mounted sensors to approximate the actual behavior of the 3D printer and achieve accurate synchronization between the physical and virtual 3D printers. We evaluate the sensor-data-driven approach against the web controller approach, which is considered to be the ground truth. We achieve near-real-time synchronization between the physical machine and its digital counterpart and have validated the digital twin in terms of position, temperature, and run duration. Our digital twin ecosystem is cost-efficient, reliable, replicable, and hence can be utilized to provide legacy equipment with digital twin capabilities, collect historical data, and generate analytics.
    Language English
    Publishing date 2022-04-13
    Publishing country England
    Document type Journal Article
    ZDB-ID 1476510-X
    ISSN 1433-3015 ; 0268-3768
    ISSN (online) 1433-3015
    ISSN 0268-3768
    DOI 10.1007/s00170-022-09164-6
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: The success of technology transfer in the Industry 4.0 era

    Alkhazaleh, Razan / Mykoniatis, Konstantinos / Alahmer, Ali

    A systematic literature review

    2022  

    Abstract: Modern innovative models have the possibility of transferring research and development (R&D) output through technology transfer from scientific and research institutions or other enterprises. The complex process of technology transfer is significantly ... ...

    Abstract Modern innovative models have the possibility of transferring research and development (R&D) output through technology transfer from scientific and research institutions or other enterprises. The complex process of technology transfer is significantly dependent on cooperation among academia, industry, and governments (I4.0) in response to the technological developments driven together through Industry 4.0. As a result, numerous technology transfer factors must be addressed for I4.0 to become a reality. However, the abundance of literature on I4.0 and associated technologies, the key ingredients, and insights for effectively executing I4.0 technology transfer are fairly limited. This study focuses on the success factors of technology transfer for I4.0. The framework is based on systematic literature to outline significant results and factors. Furthermore, this study summarizes, analysis, and criticizes the actual models and their influential variables for I4.0 technology transfer. One of the findings of this study is the significance of cooperation between technology recipients, agents, and inventors for I4.0 technology transfer. Another impressive finding is the significance of the ecosystem component in technology transfer. Combining I4.0 technologies and open innovation is a game-changer, enabling businesses to significantly save time and cost. This article will assist decision-makers in developing policies and strategies to improve the I4.0 technology transfer process. Furthermore, this involves identifying the kind of government assistance that will help accelerate the transition to I4.0 via technology transfer.
    Keywords ddc:650 ; barriers ; industry 4.0 ; models ; systematic literature review ; technology transfer
    Subject code 303
    Language English
    Publisher Basel: MDPI
    Publishing country de
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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