Predictions of temperature distributions on layered metal plates using artificial neural networks


Ayata T., Cavusoglu A., Arcaklioglu E.

ENERGY CONVERSION AND MANAGEMENT, vol.47, pp.2361-2370, 2006 (Journal Indexed in SCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 47
  • Publication Date: 2006
  • Doi Number: 10.1016/j.enconman.2005.11.023
  • Title of Journal : ENERGY CONVERSION AND MANAGEMENT
  • Page Numbers: pp.2361-2370

Abstract

The temperature distribution influences the amount of energy needed to heat a body. The benefits of using multi-layered metal plates (NIMP) are due to the requirement of a regular temperature distribution on the opposite side with one side heated irregularly. The factors that affect the regular distribution of the temperature in such a structure are the thickness of the layers and the materials themselves, since for different materials, heat conduction coefficients, density and specific heat values change.