A novel automated heat-pipe cooling device for high-power LEDs

Xiao, Chengdi; Liao, Haiyan; Wang, Yan; Li, Junhui; Zhu, Wenhui

doi:10.1016/j.applthermaleng.2016.10.041

Cited by 47 publications

(12 citation statements)

References 34 publications

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“…Besides, high junction temperature also accelerates the lumen degradation. Thus, thermal management becomes one of critical research focuses for LEDs from chip to systems [1,4,[15][16][17][18]. The optical and chromatic performances of an individual LED package is directly influenced by its driven current and surrounding temperature.…”

Section: Introductionmentioning

confidence: 99%

Dynamic prediction of optical and chromatic performances for a light-emitting diode array based on a thermal-electrical-spectral model

Fan¹,

Chen²,

Yuan³

et al. 2020

Opt. Express

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Light-emitting diode (LED) arrays have attracted increased attention in the area of high power intelligent automotive headlamps because of their superiority in disposing of the power limit of an individual LED package and controllably luminous intensity and illumination pattern. The optical and chromatic performances of an LED array do not equal to the sum of individual LED packages' performances, as the thermal interactions between individual LED packages can't be ignored in the actual application. This paper presents a thermal-electrical-spectral (TES) model to dynamically predict the optical and chromatic performances of the LED array. The thermal-electrical (TE) model considering the thermal coupling effect in the LED array is firstly proposed to predict the case temperature of each individual LED package, and the Spectral power distributions (SPDs) of individual LED package is then decomposed by the extended Asym2sig model to extract the spectral characteristic parameters. Finally, the experimental measurements of the designed LED arrays operated under usage conditions are used to verify the TES model. Some validation case studies show that the prediction accuracy of the proposed TES model, which is expressed as a quadratic polynomial function of current and case temperature, can be achieved higher than 95%. Therefore, it can be concluded that this TES model offers a convenient method with high accuracy to dynamically predict the optical and chromatic performances of LED arrays at real usages.

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Section: Introductionmentioning

confidence: 99%

Dynamic prediction of optical and chromatic performances for a light-emitting diode array based on a thermal-electrical-spectral model

Fan¹,

Chen²,

Yuan³

et al. 2020

Opt. Express

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show abstract

“…MAX6675 is one of many modules compatible with Arduino that can compensate for the K-type thermocouple cold junction. The use of K-type thermocouple mounted on MAX6675 module is becoming more common among researchers [4,[8][9][10], but not many have tried to calibrate the sensor, especially in ambient conditions. In ambient conditions, where there is almost no temperature difference between cold junction and hot junction thermocouple, the reading from K-type thermocouple and MAX6675 is erratic and accuracy is compromised in comparison with readings taken from a DS18B20 sensor [11].…”

Section: Introductionmentioning

confidence: 99%

Testing a Calibration Method for Temperature Sensors in Different Working Fluids

Septiana

Roihan

Koestoer³

2020

ARFMTS

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Temperature is one of the crucial parameters in every aspect of life; therefore, it is essential to be able to measure it accurately. Temperature data acquisition utilizing a K-type thermocouple and MAX6675 module as cold junction compensation is being increasingly used by researchers because of its availability and relative ease of use. Ktype thermocouple and MAX6675 can be used as valid data acquisition if the sensors are properly calibrated. This research proposes a calibration method for K-type thermocouple and MAX6675 sensors based on Arduino microprocessor with DS18B20 thermistor as the reference, which has been previously calibrated with the ASTM-117C thermometer. Calibration was performed at ambient conditions utilizing the energy from the environment where four K-type thermocouple and MAX6675 sensors were calibrated alongside two DS18B20 sensors in ambient water for 24 hours. To increase the accuracy of the K-type thermocouple and MAX6675 sensors, simple mathematical methods were used in Arduino coding, thereby providing automatically calibrated values. After calibration using the proposed method, the sensors then were used in reading temperatures of ambient air and water. The result of this study is simple methods to improve the accuracy of K-type thermocouples and MAX6675 sensors to be used for reading temperature values in different working fluids using Arduino Microprocessor. The error value before calibration was 4.9% compared to 0.42% and 0.61% after calibration in ambient-water and ambient-air respectively.

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“…This temperature rise can affect the thermal resistance between the fin and the air (Xie et al, 2020). In order to ensure the heat dissipation rate, an electric-powered fan is commonly used to improve the cooling performance by increasing airflow to the heatsink (Xiao et al, 2017). The deficiency of using a fan with a CSHP is that the heat from the CPU absorbed through the evaporator at level I is not released directly into the environment.…”

Section: Introductionmentioning

confidence: 99%

Investigated on Thermal Design of Computer Cooling System with the Effective Length of Cascade Heat Pipe

Septiadi¹,

Prasetia²,

Murti³

et al. 2020

IJTech

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A novel automated heat-pipe cooling device for high-power LEDs

Cited by 47 publications

References 34 publications

Dynamic prediction of optical and chromatic performances for a light-emitting diode array based on a thermal-electrical-spectral model

Dynamic prediction of optical and chromatic performances for a light-emitting diode array based on a thermal-electrical-spectral model

Testing a Calibration Method for Temperature Sensors in Different Working Fluids

Investigated on Thermal Design of Computer Cooling System with the Effective Length of Cascade Heat Pipe

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