Evaluating thermal behaviour and efficiency in stretching/shrinking fully wet longitudinal porous fin using the Hermite wavelet method

The present study focuses on the thermal behaviour and efficiency of a fully wet, moving longitudinal fin of rectangular profile equipped with a stretching/shrinking mechanism. The novelty of this work lies in employing the semi-analytical Hermite wavelet method to analyse complex heat transfer phenomena under dynamic fin conditions, which has not been extensively explored in existing literature. Utilizing the Darcy model, fluid-solid interactions are analysed, and the non-dimensionalized model equation is resolved effectively, addressing a second-order nonlinear ordinary differential equation with results validated against existing literature. The thermal profile of the fin is examined through graphical analysis, considering various parameters including the stretching/shrinking parameter, Peclet number, internal heat generation parameter, and other pertinent parameters. As Pe increases by 400%, the temperature distribution rises by 10.8% in the stretching fin, 8.54% in the stagnant fin, and 5.16% in the shrinking fin. Additionally, the temperature distribution decreases by 4.92% when comparing the stretching fin to the shrinking fin. Efficiency and thermal behaviour are found to be optimal under stretching conditions due to increased convective heat dissipation, minimal under shrinking due to reduced surface area, and moderate under stagnant conditions. The insights from this study are directed towards practical applications to fin design.

Authors

Institutions

Publication Details

Journal
International Journal of Modelling and Simulation
Published
2026-11-02
DOI
https://doi.org/10.1080/02286203.2026.2756918
Primary Topic
Heat Transfer and Numerical Methods
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluating thermal behaviour and efficiency in stretching/shrinking fully wet longitudinal porous fin using the Hermite wavelet method

K. J. Gowtham, Bijjanal Jayanna Gireesha, P. Venkatesh, P. L. Pavan kumar
International Journal of Modelling and Simulation
Heat Transfer and Numerical Methods
article

Evaluating thermal behaviour and efficiency in stretching/shrinking fully wet longitudinal porous fin using the Hermite wavelet method

K. J. Gowtham, Bijjanal Jayanna Gireesha, P. Venkatesh, P. L. Pavan kumar
article en

Abstract

The present study focuses on the thermal behaviour and efficiency of a fully wet, moving longitudinal fin of rectangular profile equipped with a stretching/shrinking mechanism. The novelty of this work lies in employing the semi-analytical Hermite wavelet method to analyse complex heat transfer phenomena under dynamic fin conditions, which has not been extensively explored in existing literature. Utilizing the Darcy model, fluid-solid interactions are analysed, and the non-dimensionalized model equation is resolved effectively, addressing a second-order nonlinear ordinary differential equation with results validated against existing literature. The thermal profile of the fin is examined through graphical analysis, considering various parameters including the stretching/shrinking parameter, Peclet number, internal heat generation parameter, and other pertinent parameters. As Pe increases by 400%, the temperature distribution rises by 10.8% in the stretching fin, 8.54% in the stagnant fin, and 5.16% in the shrinking fin. Additionally, the temperature distribution decreases by 4.92% when comparing the stretching fin to the shrinking fin. Efficiency and thermal behaviour are found to be optimal under stretching conditions due to increased convective heat dissipation, minimal under shrinking due to reduced surface area, and moderate under stagnant conditions. The insights from this study are directed towards practical applications to fin design.

International Journal of Modelling and Simulation
Nitte University (IN), Kuvempu University (IN)
Openalex Percentile: Top 20%
Heat Transfer and Numerical Methods
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon