Haty, A and Ray, RK and Kumar, A (2023) A computational study of forced convection from rotating circular cylinder heated with time-periodic pulsating temperature. In: 2nd International Conference on Recent Advances in Fluid and Thermal Sciences 2020, iCRAFT 2020, 19- 21 March 2021.
Full text not available from this repository.Abstract
We have numerically simulated the unsteady heat transfer from the rotating circular cylinder heated with time-periodic pulsating temperature. The cylinder is impulsively rotating in both clockwise and anti-clockwise directions and is placed across the uniform viscous stream in an unconfined domain. The Navier-Stokes equations with energy formulation are discretized by using a higher-order compact (HOC) finite difference scheme on non-uniform polar grids. The discretized system is then solved by using the Bi-Conjugate Gradient Stabilized iterative method. The effect of various Reynolds numbers, rotational rates, and various parameters of time-periodic pulsating temperature on the forced convection is studied thoroughly. It is found that the transport phenomenon is completely different from the existing forced convection from a circular cylinder heated with a constant temperature. The rotational motion is found to influence the heat transfer drastically as compared to the fixed cylinder case. Also, the different directions of rotation added different complexity to the heat transfer. The backward heat transfer is observed and studied thoroughly within our scope. The range of parameters used for our present study are, Pr (Prandtl number) = 0.7, 60 ≤ Re (Reynolds number) ≤ 200, rotational rates, α = 1,-1, amplitude of temperature, a = 1.5 and period of temperature, 0.01 ≤ P ≤ 100.0. The study is based on isotherm patterns, local and time-Averaged Nusselt numbers, and center-line temperature distribution. Overall, our present study adds several new findings related to this problem, which are not reported before.
Item Type: | Conference Paper |
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Publication: | AIP Conference Proceedings |
Publisher: | American Institute of Physics Inc. |
Additional Information: | The copyright for this article belongs to the American Institute of Physics Inc. |
Department/Centre: | Division of Interdisciplinary Sciences > Computational and Data Sciences |
Date Deposited: | 09 Jul 2023 17:34 |
Last Modified: | 09 Jul 2023 17:34 |
URI: | https://eprints.iisc.ac.in/id/eprint/82089 |
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