Review of the Development of the Fin Optimization

Authors

  • Zainab Ahmed Salih Northern Technical University
  • Ehsan F. Abbas Northern Technical University

DOI:

https://doi.org/10.56286/vt06yy21

Keywords:

Extended surface, Fin design, annular fin, straight fin, non-uniform fin area

Abstract

This investigation spans 200 years of fin design development, from Ingenhousz’s early studies of thermal conduction to today’s logically optimized, application-tailored geometries. It synthesizes results from over 50 key studies on conduction–convection interactions, geometric sophistication, material innovation, and multi-mode heat transfer. Optimal designs deliver 20-50% higher heat transfer than reported in the literature and reduce material use by 15-30% compared with traditional multi-layered arrangements. Developments such as slotted, gapped, elliptical, and airfoil fin designs continually improve thermal?hydraulic performance, as evidenced by decreases in pressure drop (in some cases, very significant) with increasing Nusselt number. The inclusion of radiation effects, wet-surface operation, and variable thermal properties has increased prediction accuracy, enabling customized solutions for high-temperature, condensation, and natural convection applications. Contemporary methods use CFD, inverse heat transfer techniques, and metaheuristic algorithms such as GA and PSO to search through?large design spaces. These methods also enable the manufacturing of complex topologies and power-optimized fins. Hybrid architectures now provide unparalleled flexibility in electronic cooling, automotive waste heat recovery, and aerospace applications. This review?underscores an accelerating trend toward intelligent, adaptive fins that integrate advanced materials, embedded sensing, and AI-driven optimization, and that promise to transform the very notion of thermal management in compact, efficient, and sustainable systems

Downloads

Published

2026-03-16

Issue

Section

Articles

Categories

How to Cite

Review of the Development of the Fin Optimization. (2026). NTU Journal of Renewable Energy, 10(1), 55-65. https://doi.org/10.56286/vt06yy21