Conjugated heat transfer from a uniformly heated plate and a plate fin with uniform base heat flux

Lindstedt, Matti; Karvinen, R.

doi:10.1016/j.ijheatmasstransfer.2016.10.079

Cited by 13 publications

(4 citation statements)

References 17 publications

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“…The areas of application mainly include electronic components, equipment and devices, nuclear fuel elements, electric vehicle battery system, heat exchangers, solar flat plate collector, mini and micro-channels, etc. (Meng et al 2016;Lindstedt and Karvinen 2017;Poddar et al 2015;Adelaja et al 2014). The arrangement of the channel formed by the set of plates in these studies is horizontal, vertical, or inclined.…”

Section: Introductionmentioning

confidence: 99%

Parallel performance analysis of coupled heat and fluid flow in parallel plate channel using CUDA

2020

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The heat transfer analysis coupled with fluid flow is important in many real-world application areas varying from micro-channels to spacecraft's. Numerical prediction of thermal and fluid flow situation has become very common method using any computational fluid dynamics software or by developing in-house codes. One of the major issues pertinent to numerical analysis lies with immense computational time required for repeated analysis. In this article, technique applied for parallelization of in-house developed generic code using CUDA and OpenMP paradigm is discussed. The parallelized finite-volume method (FVM)-based code for analysis of various problems is analyzed for different boundary conditions. Two GPUs (graphical processing units) are used for parallel execution. Out of four functions in the code (U, V , P, and T), only P function is parallelized using CUDA as it consumes 91% of computational time and the rest functions are parallelized using OpenMP. Parallel performance analysis is carried out for 400, 625, and 900 threads launched from host for parallel execution. Improvement in speedup using CUDA compared with speedup using complete OpenMP parallelization on different computing machines is also provided. Parallel efficiency of the FVM code for different grid size, Reynolds number, internal flow, and external flow is also carried out. It is found that the GPU provides immense speedup and outperforms OpenMP largely. Parallel execution on GPU gives results in a quite acceptable amount of time. The parallel efficiency is found to be close to 90% in internal flow and 10% for external flow.

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Section: Introductionmentioning

confidence: 99%

Parallel performance analysis of coupled heat and fluid flow in parallel plate channel using CUDA

2020

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“…Furthermore, Wen et al 80 used an innovative technique of a genetic algorithm based on the Kriging response surface and found that decrease in the power consumption by 48.5% was followed by the corresponding increase in heat transfer rate of an optimal heat exchanger by 145 W. Ge et al 81 suggested an analytic model to evaluate the homogenized elastic constants of plate‐fin structures and found similarity between the results of the analytic model and the experimental as well as the FEM approach. Additionally Lindstedt and Karvinen 82 used a plate fin with uniform base heat flux and a uniformly heated plate to calculate the conjugated heat transfer. Guo et al 83 worked on design optimization of multistream plate‐fin heat exchangers with numerous fin types.…”

Section: Analytical Studiesmentioning

confidence: 99%

Improvement of heat transfer through fins: A brief review of recent developments

Maji¹,

Choubey

2020

Heat Trans

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Fins or extended surfaces are generally used in heat exchangers to enhance heat transfer between the main surface and ambient fluid. Various types of simple-shaped fins, namely, rectangular, square, annular, cylindrical, and tapered, have been used with different geometrical combinations. To satisfy industrial demand, different trials have also been carried out for designing optimized fins. The optimization of fins can be performed either by enhancing heat dissipation at an exact fin weight or by diminishing the weight of the fin by precise heat dissipation. Recently a notable amount of work on some typical fins, like, porous fins and perforated fins, has also been carried out. This paper presents a brief review on heat transfer enhancement using fins of different types considering variable thermophysical and geometric parameters, which will also be useful for future use of geometrical modifications of extended surfaces, based on the cost and availability of space.analytical approach, computational approach, experimental approach, perforated fin, porous fin | INTRODUCTIONAdvanced technologies need high-performance heat transfer equipment. Techniques for enhancing the heat transfer rate are classified into two categories: active and passive methods. In the design point of view, active methods are complex as they require some extraneous power input for necessary flow adjustments and to improve the heat transfer rate and thus applications are limited. On the other hand, passive methods require geometrical or surface adjustments to the flow passage by incorporating additional devices. Additionally, by interrupting or varying the existing flow behavior (except for extended surfaces); higher heat transfer coefficients are promoted through this method, which is also followed by an increase in the corresponding pressure drop. The amount of conduction, convection, and radiation of an object shows the amount of heat it transfers. The heat transfer rate is enhanced by increasing the temperature difference between the object and the environment or by enhancing the coefficient of convective heat transfer or by maximizing the surface area of the body. In some cases, it is not appropriate or cost effective to alter the first two options. Introducing a fin to a body, however, expands the surface area and sometimes this is a cost-effective solution for heat transfer problems. Extended surfaces or fins are illustrations of passive methods that are generally used in different industrial applications for the enhancement of heat transfer between the primary surface (heat sink) and the surrounding fluid. Currently reducing the cost and size of fins is the key target of the fin industry. This demand is generally met by the high-thermal-conductivity and costly metals used to fabricate finned surfaces. Many efforts have been made to construct optimized fins. (a) By changing the size and shape of the solid fin: Instead of a longitudinal rectangular solid fin, if the geometry of fin design is changed, the performance parameters and heat tr...

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“…They found that the number of fins as well as fin height significantly affected heat transfer rates. In 2017, Karvinen and Lindstedt [ 6 ] worked analytically on the case that produces heat or has a constant maximum temperature. The results of their research helped to determine the minimum mass of the blades.…”

Section: Introductionmentioning

confidence: 99%

Experimental investigation of forced convection heat transfer for different models of PPFHS heatsinks with different fin-pin spacing

Sadrabadi Haghighi,

Goshayeshi,

Zahmatkesh

2024

Heliyon

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Conjugated heat transfer from a uniformly heated plate and a plate fin with uniform base heat flux

Cited by 13 publications

References 17 publications

Parallel performance analysis of coupled heat and fluid flow in parallel plate channel using CUDA

Parallel performance analysis of coupled heat and fluid flow in parallel plate channel using CUDA

Improvement of heat transfer through fins: A brief review of recent developments

Experimental investigation of forced convection heat transfer for different models of PPFHS heatsinks with different fin-pin spacing

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