Simulation and optimization on thermal performance of LED filament light bulb

W. Feng, Bruce Feng, Fanny Zhao, Brian Shieh, Ricky S. W. Lee
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引用次数: 12

Abstract

In the present study, a computational model of LED filament light bulb was established by the ANSYS Icepak software based on the finite element method (FEM) and was compared with the experimental data as well. With the developed model, the effects of the filling gas and the filament substrate on the steady-state thermal performance were investigated. The simulation results revealed that the thermal conductivity of the filling gas in the bulb had a significant influence on the heat dissipation of the bulb. Compared with air filling, helium can reduce the average junction temperature of LED chips bonded on the sapphire substrate by 54.6 °C. With a glass filament substrate and helium filling in the bulb as the base case, the average junction temperature reductions of LED chips bonded on transparent ceramics, sapphire and perforated copper were 9.6 °C, 11.4 °C, and 22.4 °C, respectively. It was found that the higher the thermal conductivity of the filling gas, the less junction temperature change would be resulted from different filament substrates. In conclusion, this model can benefit the optimization of thermal design for a LED filament light bulb.
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LED灯丝灯泡热性能的仿真与优化
本文基于有限元法,利用ANSYS Icepak软件建立了LED灯丝灯泡的计算模型,并与实验数据进行了比较。利用所建立的模型,研究了填充气体和灯丝衬底对稳态热性能的影响。仿真结果表明,球泡内填充气体的导热系数对球泡的散热有显著影响。与空气填充相比,氦气可以使蓝宝石衬底上粘合的LED芯片的平均结温降低54.6℃。以玻璃灯丝衬底和氦气填充灯泡为基本情况,透明陶瓷、蓝宝石和穿孔铜结合的LED芯片的平均结温分别降低了9.6℃、11.4℃和22.4℃。结果表明,填充气体的热导率越高,不同灯丝衬底引起的结温变化越小。综上所述,该模型有利于LED灯丝灯泡的热设计优化。
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