Designing a microchannel heat sink with colloidal coolants through the entropy generation minimisation criterion and global optimisation algorithms

Cruz–Duarte, Jorge M.; García-Pérez, Arturo; Amaya, Iván; Correa-Cely, Rodrigo

doi:10.1016/j.applthermaleng.2016.02.109

Cited by 34 publications

(11 citation statements)

References 37 publications

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“…With the augmentation in the φ, the second law performance of the MCHS decreased. Cruz-Duarte et al (2016) optimised the design of a heat sink of the microelectronic component based on the EGM criterion using three non-conventional methods. These three methods were unified particle swarm optimisation, spiral optimisation, and cuckoo search.…”

Section: Observationsmentioning

confidence: 99%

Entropy generation analysis due to heat transfer and nanofluid flow through microchannels: a review

Kumar

Bharj

2020

IJEX

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This work presents a detailed review of the entropy generation due to the heat transfer and the fluid flow through different channels. The earlier contribution of the researchers in the form of theoretical, numerical and experimental studies on the entropy generation in the conventional or microchannels, with or without disruption in the flow and with or without the use of nanofluids is reviewed. The brief discussion on the microchannels, disrupted microchannels, nanofluids and entropy generation is presented. Studies performed on the channel cross-sectional shapes and rib shapes for thermal performance optimisation are discussed in the paper. Nanoparticles such as Al2O3, Cu, CuO, Ag, SiO2, etc. have been used for preparing the nanofluids along with water, ethylene glycol, etc. as base fluids. Additionally, the effect of disruption in flow field on the entropy generation is also discussed. The disruptions in the form of ribs, cavities, vortex generators, etc. have been taken into account. It is hoped that this review article can provide a basis for further research on the irreversibility analysis of the nanofluid flowing through disrupted microchannels to improve the hydrodynamic and thermal performance of the system.

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Section: Observationsmentioning

confidence: 99%

Entropy generation analysis due to heat transfer and nanofluid flow through microchannels: a review

Kumar

Bharj

2020

IJEX

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“…where R cond , R conv , R fluid and R cons are the conductive, convective, fluid, and constrictive thermal resistances and are given by [32,50,51].…”

Section: Thermal Resistance Modelmentioning

confidence: 99%

“…Thermal resistance network.= cond + conv + fluid + cons(2) where cond , conv , fluid and cons are the conductive, convective, fluid, and constrictive thermal resistances and are given by[32,50,51]. is the thermal conductivity of the heat sink, av h is the average heat transfer coefficient, m is the mass flow rate and A is the convective heat transfer area of the heat sink given by: Thermal resistance network.…”

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confidence: 99%

Optimization of Microchannel Heat Sinks Using Prey-Predator Algorithm and Artificial Neural Networks

2018

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A rectangular microchannel heat sink is modeled by employing thermal resistance and pressure drop networks. The available correlations for both thermal resistance and pressure drop are utilized in optimization. A multi-objective optimization technique, the prey-predator algorithm, is employed with the objective to find the optimal values for the heat sink performance parameters, i.e., thermal resistance and the pumping power of the heat sink. Additionally, a radial basis function neural network is used to investigate a relationship between these parameters. Full training based on the prey-predator algorithm with the sum of the squared error function is used to achieve the best performance of the model. The analysis of variance method is also employed to test the performance of this model. This study shows that the multi-objective function based on the prey-predator algorithm and the neural networks is suitable for finding the optimal values for the microchannel heat sink parameters. The minimum values of the multi-objective function are found to be "pumping power = 2.79344" and "total thermal resistance = 0.134133".

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“…The used model for a Rectangular Micro-Channel Heat Sink was studied by Cruz et al [19]. The Equation (12) …”

Section: Rectangular Micro-channel Heat Sink Modelmentioning

confidence: 99%

Global optimization algorithms applied in a parameter estimation strategy

Matajira-Rueda¹,

Duarte²,

Cervantes³

et al. 2018

revuin

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Vol. 17, no. 1, pp. 233-242, enero-junio 2018 Revista UIS Ingenierías ABSTRACTThis article presents a comparative study using two global optimization algorithms, Electromagnetic Field Optimization (EFO) and Heat Transfer Search (HTS). These techniques are efficient alternatives when classical methods find limitations to solve real problems. To verify methods performance, the rectangular microchannel heat sink design was implemented formulating the respective Inverse Heat Transfer Problem (IHTP). Experimental results were competitively compared with the traditional Levenberg-Marquardt (LM) outcomes. Moreover, global algorithms achieved estimations with errors lower than 5%, and they converged at least three times faster than LM. KEYWORDS:Electromagnetic field optimization (EFO), entropy generation minimization (EGM), heat transfer search (HTS), inverse heat transfer problem (IHTP), Levenberg-Marquardt method (LM), ordinary least squares norm (OLSN). RESUMENEste artículo presenta un estudio comparativo utilizando dos algoritmos de optimización global, el de Optimización por Campo Electromagnético (EFO) y el de Búsqueda por Transferencia de Calor (HTS). Estas técnicas alternativas son eficientes cuando los métodos clásicos encuentran limitaciones para resolver problemas reales. Para verificar el desempeño de los métodos, se implementó el diseño de un disipador de calor de microcanales rectangulares formulando el respectivo problema inverso de transferencia de calor (IHTP). Los resultados experimentales se compararon competitivamente con los resultados tradicionales de Levenberg-Marquardt (LM). Además, los algoritmos globales lograron estimaciones con errores inferiores al 5%, y convergieron al menos tres veces más rápido que LM.

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Designing a microchannel heat sink with colloidal coolants through the entropy generation minimisation criterion and global optimisation algorithms

Cited by 34 publications

References 37 publications

Entropy generation analysis due to heat transfer and nanofluid flow through microchannels: a review

Entropy generation analysis due to heat transfer and nanofluid flow through microchannels: a review

Optimization of Microchannel Heat Sinks Using Prey-Predator Algorithm and Artificial Neural Networks

Global optimization algorithms applied in a parameter estimation strategy

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