Estimation of boundary heat flux using experimental temperature data in turbulent forced convection flow

Parwani, Ajit Kumar; Talukdar, Prabal; Subbarao, P.M.V.

doi:10.1007/s00231-014-1421-2

Cited by 24 publications

(3 citation statements)

References 27 publications

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“…In micro-electric systems, increasing working efficiency and higher frequency of semiconductor devices require accurate measurement of the heat flux of heat dissipated by the devices [6][7][8][9]. Heat flux during turbulent flow, supercritical fluid flow and boiling is an important parameter [10][11][12][13][14][15]. Early study by Puits et al [10] measured the local heat flux in highly turbulent Rayleigh-Bénard convection in air at the heating/cooling plate using commercial sensors.…”

Section: Introductionmentioning

confidence: 99%

A method to measure heat flux in convection using Gardon gauge

Fu¹,

Zong²,

Zhang³

et al. 2016

Applied Thermal Engineering

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Heat flux measurements are widely used in thermal environment analyses. The Gardon gauge is an excellent heat flux sensor with a wide measurement range and long lifespan in harsh environments. However, the Gardon gauge is usually calibrated for radiation heat transfer and is not good for convective heat transfer. This paper introduces a method to measure heat flux for convective heat transfer using the Gardon gauge by relating the measurement sensitivity for convection to that for radiation. The heat flux and convective heat-transfer coefficient can then be simultaneously determined by the standard thermo-electromotive voltage output of the Gardon gauge. The method was demonstrated for convective heat-transfer coefficient ranging from 200 to 3000 W/(m 2 K). The analysis illustrates that the measurement sensitivity for convection decreases with increasing convective heat-transfer coefficient. A correction is necessary especially for higher convective heat-transfer coefficient. The corrected convective heat-transfer coefficients and heat fluxes agree well with the actual values. The relative uncertainty in heat flux is within 0.64%. The method not only greatly improves the measurement accuracy of the Gardon gauge for convection applications, but also provides a reference for evaluating convective heat transfer coefficients in convection environments.

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Section: Introductionmentioning

confidence: 99%

A method to measure heat flux in convection using Gardon gauge

Fu¹,

Zong²,

Zhang³

et al. 2016

Applied Thermal Engineering

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“…10 As the airow ows through the mining roadway, due to the continuous heat exchange between the two temperature differences, the temperature of the surrounding rock surface is reduced, resulting in a continuous increase in the airow temperature. [11][12][13] The ow of air in the high-temperature surrounding rock is mainly turbulent ow, and great progress has been made in understanding the heat-transfer characteristics of turbulent ow. For instance, Farida 14 studied the turbulent ow of single and mixed nanouids in a star follower diffuser, and investigated their pressure drop and heat-transfer properties; while Alsabery 15 used the nite element method based on the standard k-3 equation to numerically solve the effects of the Reynolds number, wave number, and wave amplitude on uid motion and energy transport.…”

Section: Introductionmentioning

confidence: 99%

Heat-transfer enhancement and optimization design of a roadway with typical angles using field synergy theory

Qu,

Zhang,

Zhang

et al. 2024

Sustainable Energy Fuels

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“…Problemas inversos apresentam importante e extensa aplicabilidade em engenharia e nas ciências em geral. Na literatura há uma vasta quantidade de trabalhos voltados para o meio industrial, como estudos para turbinas de vento, análise de meios compostos, temperaturas de entrada, entre outros (PARWANI et al, 2015, ÖZISIK e ORLANDE, 2021.…”

Section: Introductionunclassified

Estimativa do perfil de temperatura na entrada de dutos via Método de Monte Carlo com Cadeias de Markov

Guedes¹,

Classe²,

Knupp³

et al. 2022

Cereus

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Estimativa do perfil de temperatura na entrada de dutos via Método de Monte Carlo com Cadeias de MarkovEstimative of the inlet temperature profile in ducts via Markov Chain Monte Carlo Method RESUMOEste trabalho trata do emprego de uma metodologia Bayesiana para solucionar um problema inverso de transferência de calor por convecção forçada em escoamento laminar em regime permanente entre placas paralelas. O problema direto envolve o cálculo das temperaturas ao longo do duto, uma vez que as condições de contorno são especificadas. O problema direto foi resolvido numericamente em uma plataforma computacional, Mathematica, com o método de elementos finitos, aplicando a rotina computacional intrínseca, NDSolve. O problema inverso consiste em estimar o perfil de temperatura de entrada a partir de medições não intrusivas de temperatura, supostamente realizadas via câmeras termográficas. A abordagem Bayesiana adotada para estimar a solução do problema inverso, utiliza o método de Markov Chain Monte Carlo. A precisão da abordagem da solução atual foi examinada usando medições simuladas de temperatura contendo ruído de medição aleatório e diferentes perfis de temperatura de entrada. Os resultados se mostraram acurados e precisos, para todos os casos testados.

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Estimation of boundary heat flux using experimental temperature data in turbulent forced convection flow

Cited by 24 publications

References 27 publications

A method to measure heat flux in convection using Gardon gauge

A method to measure heat flux in convection using Gardon gauge

Heat-transfer enhancement and optimization design of a roadway with typical angles using field synergy theory

Estimativa do perfil de temperatura na entrada de dutos via Método de Monte Carlo com Cadeias de Markov

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