Abstract
Automated spray painting is an important process in the manufacturing of many products. In order to ensure computational efficiency, a new tool trajectory optimization scheme based on T-Bézier curve is developed. And a T-Bézier basis is presented in trajectory optimization problem. The tool trajectory is formed through offsetting the distance between spray gun and the free-form surface along the normal vectors. Automotive body parts, which are free-form surfaces, are used to test the scheme. The results of experiments have shown that the trajectory planning algorithm achieves satisfactory performance. This algorithm can also be extended to other applications.
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Acknowledgments
This project is supported by University Science Foundation of Jiangsu province in China (Grant no. 14KJB510008), Senior talent Research Foundation of Jiangsu University (Grant no. 5503000046), Doctoral Scientific Research Foundation of Jiangsu University of science and technology (Grant No. 635031306) and National Natural Science Foundation Advance Research Project for Jiangsu University of science and technology (Grant No. 633031306)
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Chen, W., Tang, Y. (2016). Automated Tool Trajectory Planning for Spray Painting Robot of Free-Form Surfaces. In: Hung, J., Yen, N., Li, KC. (eds) Frontier Computing. Lecture Notes in Electrical Engineering, vol 375. Springer, Singapore. https://doi.org/10.1007/978-981-10-0539-8_78
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DOI: https://doi.org/10.1007/978-981-10-0539-8_78
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