Optimum thermal performance of microchannel heat sink by adjusting channel width and height

Kou, Hong-Sen; Lee, Ji-Jen; Chen, Chih‐Wei

doi:10.1016/j.icheatmasstransfer.2007.12.002

Cited by 88 publications

(27 citation statements)

References 9 publications

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“…Considering the temperature variations, cooling performances from the three coolants are compared under the same pumping power, thus the inlet velocity of the coolant, uin, is calculated according to the given pressure drop [13].…”

Section: Analysis Considerationmentioning

confidence: 99%

Thermal and Hydraulic Performance of Water/Glycol Mixture and the Application on Power electronics Cooling

Du¹,

Zhang²,

Yang³

et al. 2016

EESRJ

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Numerical simulations were conducted to study thermal and hydraulic performance of liquid-cooled heat sink on power electronics cooling, in particular with water/glycol mixture. Considering non-uniform and discrete heat sources, geometry and number of cooling channels were analyzed. The results show that alternating rectangular channel has high thermal performance with a little penalty in hydraulic resistance. The number of cooling channels can be optimized to provide the best thermal performance, as 40 channels for the analyzed case. Performance difference resulting from working coolants was studied, with 100% de-ionized water, mixture of 50% ethylene glycol and 50% de-ionized water (EGW) by weight, and mixture of 60% propylene glycol and 40% de-ionized water (PGW) by weight. The variations of fluid physical properties with temperature were taken into account. It has been concluded that lower coolant temperature does not necessarily lead to better cooling capacity, i.e. a specific coolant has an optimum operation temperature to provide the maximum cooling performance.

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Section: Analysis Considerationmentioning

confidence: 99%

Thermal and Hydraulic Performance of Water/Glycol Mixture and the Application on Power electronics Cooling

Du¹,

Zhang²,

Yang³

et al. 2016

EESRJ

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“…GA has repeatedly modified Automatic generation control application in a thermal power system PSO Kou et al [37] Optimum thermal design of micro-channel heat sinks SA Pezzini et al [38] Optimize energy efficiency ACO, PSO, GA, ES, EP Sharma [39] Optimization of thermal performance of a smooth flat solar air heater PSO Eynard et al [40] Forecasting temperature and thermal power consumption…”

Section: Genetic Algorithm Optimization Techniquementioning

confidence: 99%

Collaborative Simulated Annealing Genetic Algorithm for Geometric Optimization of Thermo-electric Coolers

Khanh

Vasant²,

Elamvazuthi³

et al. 2015

Hybrid Soft Computing Approaches

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Thermo-electric Coolers (TECs) nowadays are applied in a wide range of thermal energy systems. This is due to its superior features where no refrigerant and dynamic parts are needed. TECs generate no electrical or acoustical noise and are environment friendly. Over the past decades, many researches were employed to improve the efficiency of TECs by enhancing the material parameters and design parameters. The material parameters are the most significant, but they are restricted by currently available materials and module fabricating technologies. Therefore, the main objective of TECs design is to determine a set of design parameters such as leg area, leg length, and the number of legs. Two elements that play an important role when considering the suitability of TECs in applications are rated of refrigeration (ROR) and coefficient of performance (COP). In this chapter, the technical issues of TECs were discussed. After that, a new method of optimizing the dimension of TECs using collaborative simulated annealing genetic algorithm (CSAGA) to maximize the rate of refrigeration (ROR) was proposed. Equality constraint and inequality constraint were taken into consideration. The results of optimization obtained by using CSAGA were validated by comparing with those obtained by using stand-alone genetic algorithm and simulated annealing optimi- zation technique. This work revealed that CSAGA was more robust and more reliable than stand-alone genetic algorithm and simulated annealing.

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“…Microchannel heat sinks (MCHSs) have a superior heat transfer performance, smaller geometric size and volume per heat load, lower coolant requirements and lower operational cost compared with conventional heat sinks, which makes them one of the best tools to cool electronic devices. Because channel configuration design (CCD) for MCHSs is important to determine thermal performance, many papers have been published on this issue in recent years [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15]. CCDs include single-layered (SL) parallel channels, double-layered (DL) parallel channels, tapered (T) channels, different shapes, wavy channels and so on.…”

Section: Introductionmentioning

confidence: 99%

“…To obtain details of the optimal performance of the CCD of MCHSs, numerical computations have been conducted by many investigators [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15]. For example, Knight et al [1] investigated the performance of an MCHS by using a fin model that reduced the thermal resistance to 35%.…”

Section: Introductionmentioning

confidence: 99%

“…The optimum dimensions and corresponding thermal resistance had a power-law relationship with the pumping power. Kou et al [13] numerically investigated the optimal channel width and height that minimizes the thermal resistance. Husain and Kim [14] further analysed the optimization of MCHSs using surrogate analysis and an evolutionary algorithm.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Optimal thermal design of microchannel heat sinks with different geometric configurations

Hung

Sheu

Yan

2012

International Communications in Heat and Mass Transfer

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Optimum thermal performance of microchannel heat sink by adjusting channel width and height

Cited by 88 publications

References 9 publications

Thermal and Hydraulic Performance of Water/Glycol Mixture and the Application on Power electronics Cooling

Thermal and Hydraulic Performance of Water/Glycol Mixture and the Application on Power electronics Cooling

Collaborative Simulated Annealing Genetic Algorithm for Geometric Optimization of Thermo-electric Coolers

Optimal thermal design of microchannel heat sinks with different geometric configurations

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