PITTSBURGH, Pennsylvania (March, 2019)— Kopp Glass announces the release of a UV LED Product Database that enables users to easily evaluate and select the optimal UV LED for specific applications. With hundreds of UV LED’s available, researching and comparing the various options is a tedious, time-consuming process. This database streamlines the selection process. The comprehensive resource contains over 700 UV LEDs from 29 different manufacturers—including products from industry leaders such as Seoul Viosys, LG Innotek and Rayvio.
The sortable database provides specification data on:
- Peak Wavelength
- Product Type (Chip, COB, SMD, T-Type)
- Product Code
- Radiant Flux
- Forward Currant
- Forward Voltage
- Emission Angle
Recent developments in UV LED technology, especially in UV-B and UV-C regions, are leading to rapid adoption in applications such as sterilization, horticultural lighting, medical phototherapy, and UV curing. UV LEDs are known to offer significant energy, cost, and space savings when compared to traditional lighting technologies like mercury vapor or high-pressure sodium bulbs. However, designing with UV LEDs brings an entirely new set of challenges. The essential first step when designing a new device is to evaluate and select an optimal UV LED that meets application requirements.
According to Dr. Justine Galbraith, Glass Engineer at Kopp Glass, “Every application comes with its own unique set of requirements and performance goals. When you are selecting an LED for a new product you need to take into account parameters such as peak wavelength, viewing angle and optical power. As you move forward and incorporate optical elements, all of this information is needed to create an optimized optical design that will achieve the performance goals for your application.”
Kopp’s UV LED Product Database alleviates the need to spend valuable time scouring dozens of websites to find the LED best suited for an application and performance goals. Refer to the database for vital details needed to make pragmatic decisions when choosing an optimal LED. The database is available for public download here: http://bit.ly/2T0aV10