Events2024 International Conference on Science and Engineering of Electronics (ICSEE'2024)
Published
This submission belongs to the session S7. Control, Robotics and Autonomous Systems of the event 2024 International Conference on Science and Engineering of Electronics (ICSEE'2024)
Published date
23 Nov, 2024
Academic Editor
author-avatarYing Tan
Citation
FatimaEzzahra HAMMOUCH, Mohcin MEKHFIOUI, Marouan BOUCHOUIRBAT, Hicham EL HADRAOUI, Ahmed CHEBAK, Omar Mouhib, Nabil EL BAZI, Adila EL MAGHRAOUI, A NOVEL METHOD FOR 3D PRINTING MATERIALS WITH THE UR5 ROBOTIC ARM, in Proceedings of 2024 International Conference on Science and Engineering of Electronics (ICSEE'2024), Wuhan, 22 November–26 November 2024, MDPI: Basel, Switzerland
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A NOVEL METHOD FOR 3D PRINTING MATERIALS WITH THE UR5 ROBOTIC ARM

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Marouan BOUCHOUIRBAT 1
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Omar Mouhib 3
1. Green Tech Institute, Mohammed VI Polytechnic University, Ben Guerir, Morocco., Morocco
2. Faculty of Science, Ibn Tofail University, Kenitra, Morocco.
3. Faculty of Science, Ibn Tofail University, Kenitra, Morocco., Morocco
Abstract

This paper presents a novel method for 3D printing materials using a six-axis robotic arm, which offers enhanced precision and flexibility for additive manufacturing applications. Traditional 3D printing systems often face scalability, material versatility, and spatial reach limitations, particularly in industrial settings. Integrating the UR5 robotic arm into the 3D printing process expands the potential for producing complex geometries and larger structures with a broader range of materials. The method combines advanced path-planning algorithms with the UR5’s six-axis flexibility, allowing for precise control over deposition patterns and material distribution. This study focuses on developing a robotic 3D printer using a six-axis robotic arm, outlining a structured approach to achieve precise, multi-angled printing capabilities. Key steps include designing a custom print head or adapting an existing extruder, integrating a slicer to generate G-code from the 3D model, and developing a path-planning algorithm to generate collision-free paths, optimizing for speed, accuracy, and efficiency. Calibration and testing are essential to fine-tune accuracy, while safety and monitoring systems are implemented to ensure stable operation. Finally, iterative testing and refinement optimize the setup for reliable, high-quality 3D printing on complex surfaces. Experimental results demonstrate significant improvements in print accuracy and structural integrity compared to conventional methods, with potential applications in fields such as aerospace, automotive, construction, and biomedical engineering.

Keywords
Additive manufacturing
Robot
3D printing
Path-planning
Six-axis robotic arm
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