Research and Development of Economical CNC Software for 2D Lean Friction Stir Welding Machine
International Journal of Mechanical Engineering and Applications
Volume 6, Issue 3, June 2018, Pages: 59-63
Received: Jun. 19, 2018; Published: Jun. 20, 2018
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Diop Sokhna Anta Balla, Department of Mechanical Engineering, Donghua University, Shanghai, China
Zhou Hu, Department of Mechanical Engineering, Donghua University, Shanghai, China
Xu Chi, Department of Mechanical Engineering, Donghua University, Shanghai, China
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This project is developing a two-dimensional friction stir machine, relatively low cost to achieve four axis friction stir welding equipment with real-time servo control, where the corresponding trajectory planning function in cam is relatively independent by making a full use of Galil motion controller has a strong multi axis linkage control capability and fast real-time communication capabilities and the Galil motion controllet G code analysis software module is developped. This paper is studying the trajectory planning software system design and development of friction stir for different trajectories in the plan and is aiming to solve the motion trajectory control problem with complex welding path. A deep study of three polynomial spline function trajectory planner is done, and the complex motion trajectory of the multi axis welding machine controlled by acceleration and speed is realized. The micro arc transition approximation method is applied to optimize the inflection point with abrupt change of track path and achieve smooth inflection motion.
Friction Stir Welding (FSW), Galil Motion Controller, G Code, Speed Optimization
To cite this article
Diop Sokhna Anta Balla, Zhou Hu, Xu Chi, Research and Development of Economical CNC Software for 2D Lean Friction Stir Welding Machine, International Journal of Mechanical Engineering and Applications. Vol. 6, No. 3, 2018, pp. 59-63. doi: 10.11648/j.ijmea.20180603.13
Dong Chun Lin, Luan red, off the bridge friction stir welding: Welding in aerospace, prospects of application and development of the industry, 2009 (11): 25-31.
Babu, A. S. and Devanathan, C., “An Overview of Friction Stir Welding,” Int. J. Res. Mech. Eng. Technol 3 (2), 259-265 (2013).
XIA Luosheng, ZHU Shuhong, LU Duanmin, the Study of Open CNC System for Two-dimensional FSW Equipment Based on PMAC. Zhangjiajie Institute of Aeronautical Engineering, Zhangjiajie 427000, CHN; Central South University, Changsha410083, CHN. 1994-2016 China Academic Journal Electronic Publishing House.
G. C. Jadhav1, R. S. Dalu2, Friction Stir Welding – Process Parameters and its Variables: A Review, Research Scholar, Mechanical Department, Govt. Engineering College, Amrawati-444601, India; Department of Mechanical Engineering, Govt. Engineering College, Amrawati-444601, India. IJECS Volume 3. Issue 6 June, 2014 Page No. 6325-6328.
Ammouri, A. and Hamade, R., “On the selection of constitutive equation for modeling the friction stir processes of twin roll cast wrought AZ31B,” Materials & Design 57, 673-688 (2014).
W. R. Longhurst, A. M. Strauss, and G. E. Cook, Enabling automation of friction stir welding: the odulation of weld seam input energy by traverse speed force control, J. Dyn. Syst. Meas. Control. 132 (2010) 041002.
Xing Li, Koll dawn, Luan Guo Hong, Dong Chun Lin, The influence of the shape of the stirring needle on the formation of the S curve of the weld seam of friction stir welding (FSW). Nanchang Aeronautical University, Nanchang, Jiangxi 330063; China Friction Stir Welding Research Center, Beijing 100024).
Tabatabaeipour, M., Hettler, J., Delrue, S. and Van Den Abeele, K., “Non-destructive ultrasonic examination of root defects in friction stir welded butt-joints,” NDT & E International 80, 23-34 (2016).
Jiafeng Wu, Rui Zhang, Guangxin Yang, (2015) "Design and experiment verification of a new heavy friction-stir-weld robot for large-scale complex surface structures", Industrial Robot: An International Journal, Vol. 42 Issue: 4, pp. 332-338, https://
Tsai M S, et Al. Development of an integrated look-ahead dynamics-based NURBS interpolator for high precision machinery [J]. Computer-Aided Design, 2008, 40: 554~566.
Yeh S, Hsu P. Adaptive-feed rate interpolation for parametric curves with a confined chord error [J]. Computer-Aided Design, 2002, 34: 229-237.
Yeh S, Hsu P. The speed-controlled interpolator for machining parametric curves [J]. Computer-Aided Design, 1999, 31: 349-357.
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