Development of Automated Welding System for Construction: Focused on Robotic Arm Operation for Varying Weave Patterns |
Doyun Lee
(Department of Civil, Construction, and Environmental Engineering, North Carolina State University)
Guang-Yu Nie (Department of Civil, Construction, and Environmental Engineering, North Carolina State University) Aman Ahmed (Department of Electrical and Computer Engineering, North Carolina State University) Kevin Han (Department of Civil, Construction, and Environmental Engineering, North Carolina State University) |
1 | Ali, M. H., Aizat, K., Yerkhan, K., Zhandos, T. & Anuar, O. (2018). Vision-based Robot Manipulator for Industrial Applications. International Conference on Robotics and Smart Manufacturing (RoSMa2018), 133, 205-212. https://doi.org/10.1016/j.procs.2018.07.025 DOI |
2 | American Welding Society. (2005). AWS B2.1 - Specification for Welding Procedure and Performance Qualification. |
3 | Asadi, K., Jain, R., Qin, Z., Sun, M., Noghabaei, M., Cole, J., Han, K. & Lobaton, E. (2019). Vision-Based Obstacle Removal System for Autonomous Ground Vehicles Using a Robotic Arm. Computing in Civil Engineering, 328-335. https://doi.org/10.48550/arXiv.1901.08180 DOI |
4 | Chen, Y., He, Y., Chen, H., Zhang, H. & Chen, S. (2014). Effect of weave frequency and amplitude on temperature field in weaving welding process. International Journal of Advanced Manufacturing Technology, 75(5-8), 803-813. https://doi.org/10.1007/s00170-014-6157-0 DOI |
5 | Chu, B., Kim, D. & Hong, D. (2008). Robotic automation technologies in Construction: A Review. International Journal of Precision Engineering and Manufacturing, 9(3), 85-91. https://www.koreascience.or.kr/article/JAKO200824556527779.pdf |
6 | Chu, H. H. & Wang, Z. Y. (2016). A vision-based system for post-welding quality measurement and defect detection. International Journal of Advanced Manufacturing Technology, 86(9-12), 3007-3014. https://doi.org/10.1007/s00170-015-8334-1 DOI |
7 | Fang, B., Ma, X., Wang, J. & Sun, F. (2020). Vision-based posture-consistent teleoperation of robotic arm using multi-stage deep neural network. Robotics and Autonomous Systems, 131. https://doi.org/10.1016/j.robot.2020.103592 DOI |
8 | Instructional Materials Service. (2002). ARC WELDING - BASIC STEPS. https://pdfslide.net/documents/arc-weldingbasic-steps-reading.html |
9 | Iowa Valley Community College. (2021, March 11). What are the 4 Types of Welding? https://www.iavalley.edu/blog/2021/03/11/what-are-the-4-types-of-welding/ |
10 | Kim, K. Y. & Ahmed, F. (2018). Semantic weldability prediction with RSW quality dataset and knowledge construction. Advanced Engineering Informatics, 38, 41-53. https://doi.org/10.1016/j.aei.2018.05.006 DOI |
11 | Koestler, A. (2012). Terms, Joints,& Edge Preparation. Metal Arts Press. https://www.metalartspress.com/books/chapters/chapter-3-terms-joints-edge-preparation |
12 | Lee, D., Nie, G. & Han, K. (2022). (Accepted) Real-time and Automatic Detection of Welding Joints Using Deep Learning. Construction Research Congress 2022: Project Management and Controls, Materials, and Contracts. |
13 | Lombardi, D. A., Pannala, R., Sorock, G. S., Wellman, H., Courtney, T. K., Verma, S. & Smith, G. S. (2005). Welding related occupational eye injuries: A narrative analysis. Injury Prevention, 11(3), 174-179. https://doi.org/10.1136/ip.2004.007088 DOI |
14 | Mao, Z. W., Pan, J. L. & Zhang, H. (2010). Mobile welding robot system based on rotating arc sensor applied for large fillet welding seam tracking. 6th International Conference on Natural Computation, ICNC 2010, 1, 394-397. https://doi.org/10.1109/ICNC.2010.5583304 DOI |
15 | Moore, A. J. (2010). Essential vs. Non-essential Variables. https://app.aws.org/itrends/2010/07/it201007/it0710-20.pdf |
16 | Nagata, M., Baba, N., Tachikawa, H., Shimizu, I. & Aoki, T. (1997). Steel Frame Welding Robot Systems and Their Application at the Construction Site. Microcomputers in Civil Engineering, 12, 15-30. https://doi.org/https://doi.org/10.1111/0885-9507.00043 DOI |
17 | Red-D-Arc Welderentals. (2020, May 27). Welding in the Construction Industry. https://blog.red-d-arc.com/welding/welding-in-construction/ |
18 | Sekkat, H., Tigani, S., Saadane, R. & Chehri, A. (2021). Vision-based robotic arm control algorithm using deep reinforcement learning for autonomous objects grasping. Applied Sciences (Switzerland), 11(17). https://doi.org/10.3390/app11177917 DOI |
19 | Shaikat, A. S., Akter, S. & Salma, U. (2020). Computer Vision Based Industrial Robotic Arm for Sorting Objects by Color and Height. Journal of Engineering Advancements, 01(04), 116-122. https://doi.org/10.38032/ jea.2020.04.002 DOI |
20 | Tavares, P., Costa, C. M., Rocha, L., Malaca, P., Costa, P., Moreira, A. P., Sousa, A. & Veiga, G. (2019). Collaborative Welding System using BIM for Robotic Reprogramming and Spatial Augmented Reality. Automation in Construction, 106. https://doi.org/10.1016/j.autcon.2019.04.020 DOI |
21 | Tradesmen International. (2019, June 3). What Is the Welder Shortage? https://www.tradesmeninternational.com/construction-management/welder-shortage/ |
22 | Universal Robots. (2022). Real-Time Data Exchange (RTDE). https://s3-eu-west-1.amazonaws.com/ur-support-site/22229/Real_Time_Data_Exchange_(RTDE)_Guide.pdf |
23 | Wen, Z., Wang, Y., Luo, J., Kuijper, A., Di, N. & Jin, M. (2017). Robust, fast and accurate vision-based localization of a cooperative target used for space robotic arm. Acta Astronautica, 136, 101-114. https://doi.org/10.1016/j.actaastro.2017.03.008 DOI |
24 | Zhan, X., Liu, X., Wei, Y., Chen, J., Chen, J. & Liu, H. (2017). Microstructure and property characteristics of thick Invar alloy plate joints using weave bead welding. Journal of Materials Processing Technology, 244, 97-105. https://doi.org/10.1016/j.jmatprotec.2017.01.014 DOI |