Thermal Performance Evaluation of Moving Inclined Pin‐Fins in Fully Wet Conditions: A Comparative Analysis of Cylindrical and Conical Geometries

ABSTRACT This research examines the thermal efficiency of inclined moving conical and cylindrical pin‐fin structures functioning in completely wet conditions, emphasizing the interaction between convective and radiative heat transfer processes. Traditional analytical approaches often face convergence challenges when dealing with the nonlinear governing equations of porous fin systems. To overcome this limitation, we employ two computational techniques‐the Fibonacci wavelet method (FWM) and the differential transform method (DTM) to find accurate solutions. The effects of key parameters, including the wet porous parameter, radiation parameter, convective heat transfer coefficient, Peclet number, and inclination angle, on the temperature distribution are systematically examined. The results reveal that increasing the inclination angle from π/6 to π/2 reduces the base temperature ( X = 0) by 6.55% for cylindrical fins ( n = 0) and by 7.89% for conical fins ( n = 1). Conversely, increasing the Peclet number from 0.5 to 2 leads to temperature increases of 17.00% and 10.75% for cylindrical and conical fins, respectively, indicating a strong geometry‐dependent thermal response. Overall, conical fins demonstrate superior heat dissipation performance compared with cylindrical fins, making them more suitable for high‐performance cooling applications. The findings provide valuable insights for thermal management in microelectronic systems and confirm the effectiveness of FWM and DTM for solving complex nonlinear heat transfer problems in porous fin configurations.

Authors

Institutions

Publication Details

Journal
Heat Transfer
Published
2026-01-02
DOI
https://doi.org/10.1002/htj.70169
Primary Topic
Heat Transfer and Optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Thermal Performance Evaluation of Moving Inclined Pin‐Fins in Fully Wet Conditions: A Comparative Analysis of Cylindrical and Conical Geometries

K. J. Gowtham, Gireesha Bijjanal Jayanna
Heat Transfer
Heat Transfer and Optimization
article

Thermal Performance Evaluation of Moving Inclined Pin‐Fins in Fully Wet Conditions: A Comparative Analysis of Cylindrical and Conical Geometries

K. J. Gowtham, Gireesha Bijjanal Jayanna
article en

Abstract

ABSTRACT This research examines the thermal efficiency of inclined moving conical and cylindrical pin‐fin structures functioning in completely wet conditions, emphasizing the interaction between convective and radiative heat transfer processes. Traditional analytical approaches often face convergence challenges when dealing with the nonlinear governing equations of porous fin systems. To overcome this limitation, we employ two computational techniques‐the Fibonacci wavelet method (FWM) and the differential transform method (DTM) to find accurate solutions. The effects of key parameters, including the wet porous parameter, radiation parameter, convective heat transfer coefficient, Peclet number, and inclination angle, on the temperature distribution are systematically examined. The results reveal that increasing the inclination angle from π/6 to π/2 reduces the base temperature ( X = 0) by 6.55% for cylindrical fins ( n = 0) and by 7.89% for conical fins ( n = 1). Conversely, increasing the Peclet number from 0.5 to 2 leads to temperature increases of 17.00% and 10.75% for cylindrical and conical fins, respectively, indicating a strong geometry‐dependent thermal response. Overall, conical fins demonstrate superior heat dissipation performance compared with cylindrical fins, making them more suitable for high‐performance cooling applications. The findings provide valuable insights for thermal management in microelectronic systems and confirm the effectiveness of FWM and DTM for solving complex nonlinear heat transfer problems in porous fin configurations.

Heat Transfer
Kuvempu University (IN)
Openalex Percentile: Top 99%
Heat Transfer and Optimization
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.