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
  • Yıldız Technical University Affiliated: Yes

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.