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C.M. Arun Kumar

Bio: C.M. Arun Kumar is an academic researcher from University College of Engineering. The author has contributed to research in topics: Nanofluid & Coolant. The author has an hindex of 2, co-authored 2 publications receiving 28 citations.

Papers
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Journal ArticleDOI
TL;DR: In this paper, the performance of electronic chip in the six circular channel heat sink with water and the Al2O3/water nanofluids as coolants was investigated with ANSYS (v12) fluent software.

34 citations

Journal ArticleDOI
01 Aug 2019-Heliyon
TL;DR: In this paper, the authors compared the performance of using CuO/water nanofluids as a coolant with that of water and found that the failure rate of the semiconductor of using water as a cooling agent is higher than that of using CO2/water.

16 citations


Cited by
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Journal ArticleDOI
TL;DR: This research investigates the heat and mass transfer in 3-D MHD radiative flow of water based hybrid nanofluid over an extending sheet by employing the strength of numerical computing based Lobatto IIIA method and observed that heat transfer rate increases with the increase in magnetic effect, Biot number and rotation parameter.
Abstract: This research investigates the heat and mass transfer in 3-D MHD radiative flow of water based hybrid nanofluid over an extending sheet by employing the strength of numerical computing based Lobatto IIIA method. Nanoparticles of aluminum oxide (Al2O3) and silver (Ag) are being used with water (H2O) as base fluid. By considering the heat transfer phenomenon due to thermal radiation effects. The physical flow problem is then modeled into set of PDEs, which are then transmuted into equivalent set of nonlinear ODEs by utilizing the appropriate similarity transformations. The system of ODEs is solved by the computational strength of Lobatto IIIA method to get the various graphical and numerical results for analyzing the impact of various physical constraints on velocity and thermal profiles. Additionally, the heat transfers and skin friction analysis for the fluid flow dynamics is also investigated. The relative errors up to the accuracy level of 1e-15, established the worth and reliability of the computational technique. It is observed that heat transfer rate increases with the increase in magnetic effect, Biot number and rotation parameter.

106 citations

Journal ArticleDOI
TL;DR: In this article, a corrugated plate heat exchanger in solar energy systems is used to investigate heat transfer and fluid flow characteristics of various nanofluids by adding various nanoparticles (Al2O3-30nm, SiC-40nm, CuO-30 nm and Fe3O4-25nm) into the base fluid.

96 citations

Journal ArticleDOI
TL;DR: In this article, the impact of nanofluids on heat transfer under different dispersive particles is explained for both numerical and experimental researches, and future directions for research are proposed.

94 citations

Journal ArticleDOI
TL;DR: In this article, the authors investigated the phenomenon of heat and mass transfer in 3D radiative flow of hybrid nanofluid over a rotational disk and found that the rate of heat transfer is proportional to Brinkman number, magnetic effect and concentration of nanoparticles.
Abstract: In this research, the phenomenon of heat and mass transfer in 3D radiative flow of hybrid nanofluid over a rotational disk is investigated. Nanoparticles of Al2O3 and Cu are being used with water (H2O) as base fluid. The mathematical flow model in terms of PDEs is constructed by considering the heat transport mechanism due to Joule heating and viscous dissipation. This set of PDEs is converted into a system of ODEs by introducing the proper similarity transformations, which is then solved with the computational strength of Lobatto IIIA method. Demonstrations of graphical and numerical data are offered to examine the variation of velocity and thermal field against various physical constraints. The variable trend of heat transfer rate and skin friction coefficient through numerical data are also investigated. It is found that rate of heat transfer is proportional to Brinkman number, magnetic effect and concentration of nanoparticles. Achieved accuracy in term of relative error upto the level of 1e-14 shows the reliability and worth of solution methodology.

76 citations