Conference Papers

Permanent URI for this collectionhttps://idr.nitk.ac.in/handle/123456789/28506

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Author: search.filters.author.Trilok, G.

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    Heat transfer optimization using genetic algorithm and artificial neural network in a heat exchanger with partially filled different high porosity metal foam
    (Elsevier Ltd, 2022) Athith, T.S.; Trilok, G.; Jadhav, P.H.; Gnanasekaran, N.
    The metal foam is well known for its high surface area to volume ratio and thus used to transfer heat from the exhaust gas leaving the heat exchanger system. The present work deals with the numerical simulations of a heat exchanger partially filled with three different metal foams made up of Aluminum (Al), Copper (Cu) and Nickel (Ni) having two pore densities namely 20 PPI and 40 PPI, respectively. The hot gas is made to flow through the 8 mm channel in which metal foams are inserted and different heights of foams such as 2 mm, 4 mm, 6 mm and 8 mm are considered for the analysis. The purpose of this study is to optimize thermal performance by increasing heat transfer and decreasing pressure drop which is calculated from the simulations using a commercial software ANSYS FLUENT. In order to achieve this, a optimization technique called Non-dominated Sorting Genetic Algorithm (NSGA-II) is coded in MATLAB by making use of artificial neural network (ANN tool) as an interpolation tool to generate more data based on the already existing data. Finally, Pareto front is obtained for the optimized functional values of heat transfer and drop in pressure after running the code for NSGA-II. From the numerical simulations it is observed that there is 5.68 times enhancement in heat transfer rate when copper metal foam is used for higher inlet velocities, when compared with non-porous channel. From the optimization study, it is found that 50% filled metal foam porous channel is showing enhanced heat transfer rate with decreased pressure drop as depicted in the pareto optimal plot for copper and aluminium. © 2022 Elsevier Ltd.
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    Multi-objective optimization of various type finned heat sink with phase change materials (PCM)
    (Institute of Physics, 2022) Muthamil Selvan, N.; Trilok, G.; Gnanasekaran, N.
    The paper focuses on optimizing hybrid PCM filled heat sinks with a multi-objective approach. In the current study, the fins are oriented both horizontally at the sidewalls and vertically at the bottom side in the enclosure. Two heat sinks with different types of fin shapes are introduced in the enclosure. A rectangular shape finned heat sink, and a tapered shape finned heat sink is incorporated in both sidewalls and bottom walls. The study's main goal is to optimize the PCM-based heat sink to prolong the charging cycle (melting) and shorten the discharging cycle (solidification). The PCM used in the study is n-eicosane, and the material for the heat sink is aluminum. A heat flux with constant supply of 2000 W/m2 is provided at the enclosure bottom, and the remaining walls are insulated. A 2-D numerical simulation is done using the commercial software ANSYS Fluent. The multi-objective optimization is carried out using the technique for order preference by similarity to ideal solution (TOPSIS) optimization technique. For a constant PCM volume for both the cases, fin spacing, fin positioning, and fin heights are varied. The output results determined the optimum configuration for the stretched melting period and minimized solidification period. © Published under licence by IOP Publishing Ltd.
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    Flow and Heat Transfer Phenomena Through Porous Media Under Turbulent Regime
    (Springer Science and Business Media Deutschland GmbH, 2024) Begum, S.D.; Trilok, G.; Gnanasekaran, N.
    Porous media are known to improve heat transfer and fluid flow properties at the expense of pressure drop. Numerical modelling techniques open up a broad scope of research avoiding colossal cost and time. The flow of fluid in an upright symmetrical passage is dealt through this numerical research. The numerical model consists of a heater plate assembly next to a partially filled porous metallic foam. Metal foams with 4 distinct PPIs of 10, 20, 30, and 45 and porosity spanning from 0.90 to 0.95 are the subject of numerical calculations. Various structural arrangements of the aforementioned porous media (combinations of various porosity and pore density) are considered. Heat is dispersed through forced convection with air as working fluid. This study's comparison focuses solely on the differences between laminar and turbulent flows when there is a porous media in terms of fluid flow characteristics and heat transfer qualities. The Darcy–Forchheimer equation, coupled with the local non-thermal equilibrium model, is incorporated in the partially filled metal foam region. Numerical outcomes of the laminar scenario are validated against the findings of earlier research. Reaffirming the solution process, the turbulent case's outcomes are compared. © 2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.