Multi-factor sensitivity analysis of heat transfer rate in swirling flow induced by torsional motion of cylinder: A Taguchi-based approach

This research examines the optimization of thermal enhancement in viscous fluids using statistical and numerical methods. The present study considers the impact of thermophoretic particle deposition on the swirling flow generated by the cylinder’s torsional motion. It is presumed that the cylinder rotates continuously along its axis and that the expansion rate of the cylinder wall is proportional to the position along the axis from the origin. Similarity variables are employed to convert partial differential equations (PDEs) into ordinary differential equations (ODEs), which are subsequently solved using the Runge-Kutta-Fehlberg-4 th –5 th (RKF-45) order numerical technique. Furthermore, Taguchi-based optimization, in conjunction with sensitivity analysis, is employed to assess the thermal transfer rate. The graphical representation indicates that with a rise in the Reynolds number, both the velocity and thermal profiles decrease, while the concentration profile increases. The Taguchi technique indicates that the third level of the heat source/sink parameter, the second level of the Dufour number, and the first level of the Reynolds number provide optimal circumstances for optimizing the Nusselt number. The analysis forecasts its industrial significance by attaining a maximum heat transfer rate of 4.916537. The Reynolds number (94.76%) has the largest effect on the Nusselt number, while the heat source/sink parameter (1.53%) has the least.

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Publication Details

Journal
Proceedings of the Institution of Mechanical Engineers Part N Journal of Nanomaterials Nanoengineering and Nanosystems
Published
2026-03-20
DOI
https://doi.org/10.1177/23977914261427854
Primary Topic
Heat transfer and supercritical fluids
Type
article
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article

Multi-factor sensitivity analysis of heat transfer rate in swirling flow induced by torsional motion of cylinder: A Taguchi-based approach

V Vinay Kumar, Ram Prakash Sharma
Proceedings of the Institution of Mechanical Engineers Part N Journal of Nanomaterials Nanoengineering and Nanosystems
Heat transfer and supercritical fluids
article

Multi-factor sensitivity analysis of heat transfer rate in swirling flow induced by torsional motion of cylinder: A Taguchi-based approach

V Vinay Kumar, Ram Prakash Sharma
article en

Abstract

This research examines the optimization of thermal enhancement in viscous fluids using statistical and numerical methods. The present study considers the impact of thermophoretic particle deposition on the swirling flow generated by the cylinder’s torsional motion. It is presumed that the cylinder rotates continuously along its axis and that the expansion rate of the cylinder wall is proportional to the position along the axis from the origin. Similarity variables are employed to convert partial differential equations (PDEs) into ordinary differential equations (ODEs), which are subsequently solved using the Runge-Kutta-Fehlberg-4 th –5 th (RKF-45) order numerical technique. Furthermore, Taguchi-based optimization, in conjunction with sensitivity analysis, is employed to assess the thermal transfer rate. The graphical representation indicates that with a rise in the Reynolds number, both the velocity and thermal profiles decrease, while the concentration profile increases. The Taguchi technique indicates that the third level of the heat source/sink parameter, the second level of the Dufour number, and the first level of the Reynolds number provide optimal circumstances for optimizing the Nusselt number. The analysis forecasts its industrial significance by attaining a maximum heat transfer rate of 4.916537. The Reynolds number (94.76%) has the largest effect on the Nusselt number, while the heat source/sink parameter (1.53%) has the least.

Proceedings of the Institution of Mechanical Engineers Part N Journal of Nanomaterials Nanoengineering and Nanosystems
National Institute of Technology Arunachal Pradesh (IN)
Openalex Percentile: Top 11%
Heat transfer and supercritical fluids
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