Development of a mobile 3D printer and comparative evaluation against traditional gantry systems
Abdullah Alhijaily,
Abdulrahman Alqarni,
Zekai Murat Kilic and
Paulo Bartolo ()
Additional contact information
Abdullah Alhijaily: Taibah University
Abdulrahman Alqarni: King Khalid University
Zekai Murat Kilic: The University of Manchester
Paulo Bartolo: The University of Manchester
Journal of Intelligent Manufacturing, 2025, vol. 36, issue 6, No 6, 3783-3800
Abstract:
Abstract Fixed robots have dominated the market of additive manufacturing (AM), despite presenting several limitations, such as the stationary nature of these robots and the limited workspace. Mobile robots solve these problems as they can move freely in the printing area without being rooted to the ground. This allows mobile robots to print large-scale structures and print in places that are unsafe for humans to reach and deploy fixed robots. However, mobile robots suffer from poor positional accuracy. In this paper, we present an accurate mobile robot for material extrusion AM and discuss in detail the design of the mobile 3D printer and its components. This work is the first to rigorously compare the quality, accuracy, and mechanical properties of parts printed by the mobile 3D printer against those printed by gantry systems. Results show that the parts produced by the proposed system are comparable to those of a gantry system in certain aspects such as the overall quality and shape fidelity. Additionally, the accuracy exceeded the state-of-the-art of mobile 3D printing achieving low ranges of less than 0.5 mm. Moreover, the proposed system outperforms other plastic 3D printing mobile robots in literature, excelling in both quality and accuracy.
Keywords: 3D printing; Mobile 3D printer; Mobile robot; Accurate mobile robot; Mobile 3D printing (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s10845-024-02433-z Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:joinma:v:36:y:2025:i:6:d:10.1007_s10845-024-02433-z
Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10845
DOI: 10.1007/s10845-024-02433-z
Access Statistics for this article
Journal of Intelligent Manufacturing is currently edited by Andrew Kusiak
More articles in Journal of Intelligent Manufacturing from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().