Publication Cover
Numerical Heat Transfer, Part A: Applications
An International Journal of Computation and Methodology
Volume 57, 2010 - Issue 10
138
Views
10
CrossRef citations to date
0
Altmetric
Original Articles

A Nonlinear Fin Design Problem in Estimating the Optimal Shapes of Longitudinal and Spine Fully Wet Fins

&
Pages 749-776 | Received 02 Sep 2009, Accepted 15 Mar 2010, Published online: 04 Jun 2010
 

Abstract

In the present nonlinear fully wet fin design problem, the optimum shapes for the longitudinal and spine fins are estimated by using the conjugate gradient method (CGM) based on the desired fin efficiency and fin volume. For many practical engineering applications, thermal conductivity and heat transfer coefficient of fin are a function of temperatures. This makes the design problem nonlinear and complicated. For this reason, the present work is focused on examining these kinds of design problems. The validity of this design algorithm using CGM to solve the nonlinear fin design problems are justified based on the numerical experiments. Results show that when the Biot number, relative humidity, and thermal conductivity are varied, the optimum fin efficiency and optimum fin shape are also subjected to change, and any reasonable designs for fully wet fins can always be obtained.

This work was supported in part through the National Science Council, R. O. C., Grant number, NSC-97-2221-E-262-MY3.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 716.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.