IDEAS home Printed from https://ideas.repec.org/a/spr/joinma/v35y2024i1d10.1007_s10845-022-02049-1.html
   My bibliography  Save this article

Scientometric analysis and systematic review of smart manufacturing technologies applied to the 3D printing polymer material extrusion system

Author

Listed:
  • Miguel Castillo

    (University of Alberta)

  • Roberto Monroy

    (University of Alberta)

  • Rafiq Ahmad

    (University of Alberta)

Abstract

As the 3D printing polymer material extrusion process is moving beyond niche markets and into large-scale manufacturing, still commercial systems employed by this process work in an open-loop environment where no feedback or control solution is provided from batch-to-batch production. This issue causes significant differences in part quality and generates lower production efficiency. However, there are substantial innovations in terms of smart manufacturing (SM) technologies, where the use of integrated smart sensors, the internet-of-things (IoT), big data, and artificial intelligence (AI) tools, that applied can let the systems evolve into a closed-loop higher rentability mass production process. This study investigates the available smart manufacturing technologies applied to evaluate the current state-of-the-art. This paper used scientometric analysis to analyze the most important contributions in this area. A systematic review aims to verify the results and understand the publications related to the polymer material extrusion process in detail. The analysis concludes that the most investigated aspect is the relation between the mechanical properties of materials and the high anisotropy presented in the process. The conclusions show that different sensors have been integrated, such as digital cameras, thermal cameras, thermocouples, and accelerometers, among others. They all obtain metrics and use data models to make supported decisions. Furthermore, AI algorithms have been applied to the process, and significant progress has been made to detect quality failures or part defects. Finally, as a substantial conclusion, it has been found that there is still no system in the market that can provide integral feedback control and process adjustment in real-time. This brings a positive opportunity to improve and achieve a fully smart manufacturing system in the 3D printing polymer material extrusion process.

Suggested Citation

  • Miguel Castillo & Roberto Monroy & Rafiq Ahmad, 2024. "Scientometric analysis and systematic review of smart manufacturing technologies applied to the 3D printing polymer material extrusion system," Journal of Intelligent Manufacturing, Springer, vol. 35(1), pages 3-33, January.
  • Handle: RePEc:spr:joinma:v:35:y:2024:i:1:d:10.1007_s10845-022-02049-1
    DOI: 10.1007/s10845-022-02049-1
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10845-022-02049-1
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10845-022-02049-1?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Hui Yang & Soundar Kumara & Satish T.S. Bukkapatnam & Fugee Tsung, 2019. "The internet of things for smart manufacturing: A review," IISE Transactions, Taylor & Francis Journals, vol. 51(11), pages 1190-1216, November.
    2. Julien Gardan, 2016. "Additive manufacturing technologies: state of the art and trends," International Journal of Production Research, Taylor & Francis Journals, vol. 54(10), pages 3118-3132, May.
    3. Hsin-Ning Su & Pei-Chun Lee, 2010. "Mapping knowledge structure by keyword co-occurrence: a first look at journal papers in Technology Foresight," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(1), pages 65-79, October.
    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. Jian Xu & Yi Bu & Ying Ding & Sinan Yang & Hongli Zhang & Chen Yu & Lin Sun, 2018. "Understanding the formation of interdisciplinary research from the perspective of keyword evolution: a case study on joint attention," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(2), pages 973-995, November.
    2. Kai Hu & Huayi Wu & Kunlun Qi & Jingmin Yu & Siluo Yang & Tianxing Yu & Jie Zheng & Bo Liu, 2018. "A domain keyword analysis approach extending Term Frequency-Keyword Active Index with Google Word2Vec model," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(3), pages 1031-1068, March.
    3. Nascimento, Paulo Jorge & Silva, Cristóvão & Antunes, Carlos Henggeler & Moniz, Samuel, 2024. "Optimal decomposition approach for solving large nesting and scheduling problems of additive manufacturing systems," European Journal of Operational Research, Elsevier, vol. 317(1), pages 92-110.
    4. Ivanov, Dmitry & Dolgui, Alexandre & Sokolov, Boris, 2022. "Cloud supply chain: Integrating Industry 4.0 and digital platforms in the “Supply Chain-as-a-Service”," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 160(C).
    5. Yoon, Jisung & Park, Jinseo & Yun, Jinhyuk & Jung, Woo-Sung, 2023. "Quantifying knowledge synchronization with the network-driven approach," Journal of Informetrics, Elsevier, vol. 17(4).
    6. Byoungsam Jin & Youngchul Bae, 2023. "Prospective Research Trend Analysis on Zero-Energy Building (ZEB): An Artificial Intelligence Approach," Sustainability, MDPI, vol. 15(18), pages 1-21, September.
    7. Masoud Zafarzadeh & Magnus Wiktorsson & Jannicke Baalsrud Hauge, 2021. "A Systematic Review on Technologies for Data-Driven Production Logistics: Their Role from a Holistic and Value Creation Perspective," Logistics, MDPI, vol. 5(2), pages 1-32, April.
    8. Jaya Priyadarshini & Rajesh Kr Singh & Ruchi Mishra & Surajit Bag, 2022. "Investigating the interaction of factors for implementing additive manufacturing to build an antifragile supply chain: TISM-MICMAC approach," Operations Management Research, Springer, vol. 15(1), pages 567-588, June.
    9. Busrul Iman & Imam Yuadi & Badri Munir Sukoco & Rudi Purwono & Chih-Chien Hu, 2023. "Mapping Research Trends With Factorial Analysis in Organizational Politics," SAGE Open, , vol. 13(4), pages 21582440231, December.
    10. Jeeyoung Lim & Joseph J. Kim & Sunkuk Kim, 2021. "A Holistic Review of Building Energy Efficiency and Reduction Based on Big Data," Sustainability, MDPI, vol. 13(4), pages 1-18, February.
    11. Dorsa Alipour & Hussein Dia, 2023. "A Systematic Review of the Role of Land Use, Transport, and Energy-Environment Integration in Shaping Sustainable Cities," Sustainability, MDPI, vol. 15(8), pages 1-29, April.
    12. Ahmed Hassanein & Mohamed M. Mostafa, 2023. "Bibliometric network analysis of thirty years of islamic banking and finance scholarly research," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(3), pages 1961-1989, June.
    13. Carlos Sánchez‐Camacho & Rocío Carranza & David Martín‐Consuegra & Estrella Díaz, 2022. "Evolution, trends and future research lines in corporate social responsibility and tourism: A bibliometric analysis and science mapping," Sustainable Development, John Wiley & Sons, Ltd., vol. 30(3), pages 462-476, June.
    14. Ruturaj Baber & Yogesh Upadhyay & Prerana Baber & Rahul Pratap Singh Kaurav, 2023. "Three Decades of Consumer Ethnocentrism Research: A Bibliometric Analysis," Business Perspectives and Research, , vol. 11(1), pages 137-158, January.
    15. Gohar Feroz Khan & Junghoon Moon & Han Woo Park, 2011. "Network of the core: mapping and visualizing the core of scientific domains," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(3), pages 759-779, December.
    16. Truong Dang Hoang Nhat Nguyen & Hyosoo Moon & Yonghan Ahn, 2022. "Critical Review of Trends in Modular Integrated Construction Research with a Focus on Sustainability," Sustainability, MDPI, vol. 14(19), pages 1-23, September.
    17. Juliana Basulo-Ribeiro & Carina Pimentel & Leonor Teixeira, 2024. "Digital Transformation in Maritime Ports: Defining Smart Gates through Process Improvement in a Portuguese Container Terminal," Future Internet, MDPI, vol. 16(10), pages 1-27, September.
    18. Korzeniowska Dominika & Brescia Valerio & Fijałkowska Justyna, 2022. "Behavioral Accounting: A Bibliometric Analysis of Literature Outputs in 2013–2022," Journal of Intercultural Management, Sciendo, vol. 14(3), pages 17-40, September.
    19. Jieun Kim & Yongtae Park & Chulhyun Kim & Hakyeon Lee, 2014. "Mobile application service networks: Apple’s App Store," Service Business, Springer;Pan-Pacific Business Association, vol. 8(1), pages 1-27, March.
    20. Khan, Muhammad Arif, 2022. "ESG disclosure and Firm performance: A bibliometric and meta analysis," Research in International Business and Finance, Elsevier, vol. 61(C).

    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:spr:joinma:v:35:y:2024:i:1:d:10.1007_s10845-022-02049-1. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.