Multi-Angle Bending Machine for Creating High Luminance Efficiency LED Module with Diversified Light Distribution Curve
Chung-Yi Lin*, Tung-Cheng Pan**, Yao-Chi Peng**,
Cheng-Hao Ko*, Rong-Mou Hong***, and Jian-Shian Lin**
*Graduate Institute of Automation and Control, National Taiwan University of Science and Technology, #43, Sec.4, Keelung Rd., Taipei, 106, Taiwan, R.O.C.
**Mechanical and Systems Research Laboratories, Industrial Technology Research Institute, No.195, Sec.4, Chung Hsing Rd., Chutung, Hsinchu, 31040, Taiwan, R.O.C.
***Department of Electronic Engineering, Ching Yun University, No.229, Jianxing Rd., Zhongli City, Taoyuan County. 320, Taiwan, R.O.C.
In this paper, a bending machine for tuning the optical design of an LED module is proposed. The tuning is done by changing, with the help of an automatic control program, the angle at which each package on a given module is bent. The distribution of luminous intensity can be controlled by adjusting the light emission path, which in turn can be implemented by changing the angles of individual LED packages on the module. The proposed machine is capable of bending packages to specified angles with less than 0.1° of error. Three-dimensional light distribution for bent package LED modules is also studied, based on various application scenarios, so that each scenario can have a diversified luminous intensity distribution, resulting in higher uniformity and better quality luminance. The machine has several advantages, including quick bending, high accuracy, and great customizability. With these advantages, the machine meets the requirements of automatic mold forming.
Cheng-Hao Ko, Rong-Mou Hong, and Jian-Shian Lin, “Multi-Angle Bending Machine for Creating High Luminance Efficiency LED Module with Diversified Light Distribution Curve,” Int. J. Automation Technol., Vol.6, No.3, pp. 354-362, 2012.
-  G. Often, T. Vries, I. Amerogea, A. Rankers, and E. Gaal, “Linear motor motion control using a learning feedforward controller,” IEEE Trans. Mechtivnics, Vol.2, pp. 179-187, 1997.
-  K. K. Tan, S. N. Huang, and T. H. Lee, “Robust adaptive numerical compensation for friction and force ripple in permanent magnet linear motors,” IEEE Trans. Magnetics, Vol.38. pp. 221-228, 2002.
-  K. K. Tan and S. Thao, “Adaptive force ripple suppression in ironcore permanent magnet linear motors,” Proc. of the 2002 IEEE Int. Symp. on Intelligent Control, pp. 266-269, 2002.
-  P. Melin and O. Castillo, “Intelligent system for control of stepping motor drive using a hybrid neuro-fuzzy approach,” Proc. of the IEEE Int. Symp. on Industrial Electronics, Vol.1. pp. 305-309, 2002.
-  P. Wang. D. Xu, and J. Shi, “Hybrid Stepping motor position servo system with on-line trained firay neural network controller,” IEEE 28th Annual Conf. of Indusirkil Ziectronics Societ, Vol.3, pp. 2137-2142, 2002.
-  C. L. Hwang, F. Y. Sung, and M. H. Wei, “Improved fuzzy slidingmode control for a linear servo motor system,” Control Engineering Practice, Vol.5, No.2 19-227, 1997.
-  J. Jiang, S. To,W. B. Lee, and B. Cheung, “Optical design of a free form TIR lens for LED streetlight,” Optik – Int. J. for Light and Electron Optics, Vol.121, Issue19, pp. 1761-1765, October 2010.
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