Optimal Distribution of Discrete Heat Sources Under Mixed Convection—A Heuristic Approach

Hotta, Tapano Kumar; Balaji, C.; Venkateshan, S. P.

doi:10.1115/1.4027350

Cited by 14 publications

(2 citation statements)

References 12 publications

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“…The experimental results are validated with numerical results obtained by COMSOL multi-physics 4.3 version package. Apart from this there are many studies available which speaks about the behavior of vertical parallel plates subjected to flow of fluid under forced and mixed convection flow regime [19][20][21][22][23]. Recently Samee et al have investigated numerically about effect of Prandtl number on coolant exit temperature flowing through the heat generating parallel plate channel and Li-ion battery cells [24,25].…”

Section: Introductionmentioning

confidence: 99%

Temperature and Location of Hot Spots Variation with Spacing in a Vertical Parallel Plate Channel: Conjugate View

Mohammad¹,

Afzal²,

Razak³

et al. 2019

IJHT

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The objective of present investigation is twofold, one to determine the effect of operational parameter on maximum temperature (Hot spots temperature) in heat generating (uniform and non-uniform) vertical parallel plates and two is to find out the position of maximum temperature (hot spots location) when plates are placed apart at optimum spacing (Bopt). A conjugate two dimensional laminar forced convection analysis is carried out in which the equations regulating the heat and fluid flow are solved by using finite difference numerical technique and the obtained algebraic equations are solved by using Thomas algorithm. The parameters viz Reynolds Number (ReH), Conduction-Convection parameter (Ncc), Heat generation parameter (Qt), and Prandtl Number (Pr), Spacing between the plates (B) were considered for present study, while the aspect ratio (Ar) of the plate is kept constant. The major outcome of present study says that the location of hot spot is mainly affected by ReH and mode of heat generation (uniform and non-uniform). It is also found that the spacing between the plates (B), ReH, Pr and Ncc play a major role in reducing the hotspots temperature.

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Section: Introductionmentioning

confidence: 99%

Temperature and Location of Hot Spots Variation with Spacing in a Vertical Parallel Plate Channel: Conjugate View

Mohammad¹,

Afzal²,

Razak³

et al. 2019

IJHT

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show abstract

“…For layout optimization problems with large numbers of degrees of freedom, combinatorial algorithms such as genetic algorithm with artificial neural network [13][14][15][16] and particle swarm optimization [17] have been used in the literature. In their recent studies, Chen et al applied bionic optimization [18,19] and simulated annealing [20] methods to find out the optimal source distribution for varying number (up to several tens) of heat sources, which provided significant reduction in the maximum tempera-ture of the domain when compared to the randomly or uniformly distributed heat sources.…”

Section: Introductionmentioning

confidence: 99%

Heat source layout optimization for two-dimensional heat conduction using iterative reweighted L1-norm convex minimization

Aslan

Puskely

Yarovoy

2018

International Journal of Heat and Mass Transfer

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Optimization of heat source distribution in two dimensional heat conduction for electronic cooling problem is considered. Convex optimization is applied to this problem for the first time by reformulating the objective function and the non-convex constraints. Mathematical analysis is performed to describe the heat source equation and the combinatorial optimization problem. A sparsity based convex optimization technique is used to solve the problem approximately. The performance of the algorithm is tested by several cases with various boundary conditions and the results are compared with a uniformly distributed layout. These results indicate that through proper selection of the number of grid cells for placing the heat sources and a minimum inter-source spacing, the maximum temperature and temperature nonuniformity in the domain can be significantly reduced. To further assess the capabilities of the method, comparisons to the results available in the literature are also performed. Compared to the existing heat source layout optimization methods, the proposed algorithm can be implemented more easily using available convex programming tools and reduces the number of input control parameters and thus computation time and resources while achieving a similar or better cooling performance.

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Temperature prediction of heat sources using machine learning techniques

Durgam

Bhosale

et al. 2021

Heat Trans

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This paper explores the use of machine learning algorithms, such as XGBoost, random forest regression, support vector machine regression, and artificial neural network (ANN), which are employed for predicting temperatures of rectangular silicon heaters with dummy elements. A combination of these machine learning algorithms can predict better results over individual algorithm. Silicon heaters are equipped on an FR4 substrate board for cooling under forced convection in a horizontal channel. COMSOL Multiphysics 5.4 software is used for all the three‐dimensional numerical simulations. Heat transfer at the solid and fluid interface is studied using a module based on conjugate heat transfer and nonisothermal fluid flow. Dummy elements are coupled with heated sources to evaluate heat transfer and analyze the flow of fluid. The study is performed with 2.5 m/s velocity and a uniform heat flux of 5000 W/m2. The study is aimed at predicting and comparing results of support vector regression (SVR), ensemble learning with ANN to explore optimal configuration. Results indicate an agreement of less than 10% between the simulated and predicted temperatures. It is also found that SVR has given the best results compared with XG Boot and ANN when analyzed individually. The programming for these algorithms is performed using the Python programming language.

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Optimal Distribution of Discrete Heat Sources Under Mixed Convection—A Heuristic Approach

Cited by 14 publications

References 12 publications

Temperature and Location of Hot Spots Variation with Spacing in a Vertical Parallel Plate Channel: Conjugate View

Temperature and Location of Hot Spots Variation with Spacing in a Vertical Parallel Plate Channel: Conjugate View

Heat source layout optimization for two-dimensional heat conduction using iterative reweighted L1-norm convex minimization

Temperature prediction of heat sources using machine learning techniques

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