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Copyright © 2014 Cheng-Tang Pan et al. Cheng-Tang Pan et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Traditional surgical shadowless halogen lamps are generally designed as projection type with many light bulbs, which can produce not only mercury pollution but also heat radiation that are serious problems to patient. The study utilized Runge-Kutta methods and mathematical algorithms to design and optimize the freeform lens. The LED (light-emitting diode) was adopted to replace the traditional halogen lamp. A uniform lens was designed and fabricated based on the energy conservation. At first, the light field of LED is concentrated through the freeform lens to improve the optical efficiency. Second, the three-shell elliptic curves are applied to the reflective surgical shadowless lamps, where only few LED chips are needed. Light rays emitting from different directions to the target plane can achieve the goal of shadowless. In this study, the LED's luminance flux is 1,895 lm. The shadow dilution on the target plane is 54%. [subscript]Ec[/subscript] (central illuminance) is 114,900 lux, and the [subscript]d50[/subscript] /[subscript]d10[/subscript] is 57% which is higher than the regulation by 7%, whereas the power consumption is only 20 W. The energy of reflective surgical shadowless lamps can save more than 50%, compared with the traditional projective one.

Details

Title
Design of Elliptic Reflective LED Surgical Shadowless Lamps Using Mathematical Optical Tracing Algorithms
Author
Cheng-Tang, Pan; Yi-Chian, Chen; Tsung-Lin, Yang; Lin, Po-Hsun; Po-Hung, Lin; Hsieh, C C
Publication year
2014
Publication date
2014
Publisher
John Wiley & Sons, Inc.
ISSN
1024123X
e-ISSN
15635147
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
1610724385
Copyright
Copyright © 2014 Cheng-Tang Pan et al. Cheng-Tang Pan et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.