Construction and Optimization of Through-Hole LED Models for Use in Designing Traffic Signboards
Publisher
MDPICitation
Lee TL, Chen Y. Construction and Optimization of Through-Hole LED Models for Use in Designing Traffic Signboards. Crystals. 2019; 9(2):96.Journal
CRYSTALSRights
© 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
A modeling procedure was proposed for the through-hole LEDs commonly used in traffic signs. The measurements from a sample batch of LEDs were performed at several midfield distances to provide a set of representative angular intensity distributions as the target pattern in the modeling process. The flat outer dimensions of the LED were accurately measured while the curvature and refractive index of the packaging dome were roughly estimated. These physical parameters were used to build a preliminary LED model in the Monte Carlo simulation software. The simulated angular intensity distribution at each distance was generated by tracing 20,000,000 rays. The normalized cross correlation (NCC) between the measured and simulated data was calculated to represent the resemblance of the model to the real LED. The roughly estimated parameters were then varied within their physical limits to optimize the NCC value. The possibilities of two parameters having interactions were also considered. The final model has all NCCs above 98.8% between the target and simulated patterns.Note
Open access journalISSN
2073-4352Version
Final published versionSponsors
Taiwan Area National Freeway Bureau [102A31P001]; Ministry of Science and Technology [106-2221-E-008-066-MY2]Additional Links
http://www.mdpi.com/2073-4352/9/2/96ae974a485f413a2113503eed53cd6c53
10.3390/cryst9020096
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Except where otherwise noted, this item's license is described as © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.