PREDICTION OF PRESSURE DROP OF VARIOUS REFRIGERANTS DURING CONDENSATION IN HORIZONTAL SMOOTH AND MICRO-FIN TUBES BY MEANS OF ARTIFICIAL NEURAL NETWORKS


Balcılar M. , Dalkılıç A. S. , Atayılmaz Ş. Ö. , Demir H. , Wongwıses S.

ASME International Mechanical Engineering Congress and Exposition, Texas, United States Of America, 9 - 15 November 2012, pp.303-312 identifier

  • Publication Type: Conference Paper / Full Text
  • City: Texas
  • Country: United States Of America
  • Page Numbers: pp.303-312

Abstract

The predictions of condensation pressure drops of R12, R22, R32, R125, R410A, R134a, R22, R502 and R507a flowing inside various horizontal smooth and micro-fin tubes are made using the numerical techniques of Artificial Neural Networks (ANNs) and non-linear least squares (NLS). The National Institute of Standards and Technology's (NIST) experimental data and, Eckels' and Pate's experimental data; as presented in Choi et al.'s study provided by NIST, are used in our analyses.