Multi-objective optimization of the thermal management system for electrosprayed aluminum nitride coatings for light-emitting diode modules

This report investigates the prediction of the thermal performance of Light Emitting Diodes (LEDs) by electrostatic spraying, which was applied to aluminum nitride (AlN)-coated heat sinks using the desirability function based on response surface methodology. The aim of this research is to reduce the junction temperature of LEDs and increase the flux of light while simultaneously finding the optimal combination of parameters, allowing for an increase in the lifetime of the LEDs. Based on analysis of variance, the important factors of junction temperature and flux of light accounted for nearly 90.86% and 88.68% of the overall experimental variation, respectively. Based on the results of the regression analysis, a quadratic model was adopted for junction temperature and flux of light. The results show that the average error of the junction temperature is 0.663%, while that of the flux of light is 6.229% for the prediction of LED heat sinks with AlN coatings by the quadratic model, which shows good reproducibility. In addition, the prediction of multiple responses by the desirability function shows that it is close to the preferred value of one, allowing satisfactory results to be obtained. The results show that the LED junction temperature and flux of light on the AlN weld are improved, thus enhancing the lifetime of the LED.