Neural network methodology for heat transfer enhancement data


Ayhan-Sarac B. , KARLIK B., Bali T. , AYHAN T.

INTERNATIONAL JOURNAL OF NUMERICAL METHODS FOR HEAT & FLUID FLOW, vol.17, pp.788-798, 2007 (Journal Indexed in SCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 17
  • Publication Date: 2007
  • Doi Number: 10.1108/09615530710825774
  • Title of Journal : INTERNATIONAL JOURNAL OF NUMERICAL METHODS FOR HEAT & FLUID FLOW
  • Page Numbers: pp.788-798

Abstract

Purpose - The purpose of this paper is to study experimentally enhancement of heat transfer in a tube with axial swirling-flow promoters. The geometric features of flow geometry to improve heat transfer can be selected in order to yield the maximum opposite reduction in heat exchange flow irreversibility by using exergy-destruction method. The paper seeks to illustrate the use of neural network approach to analyze heat transfer enhancement data for further study in the scope of the experimental program.