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, Amerika Birleşik Devletleri, 9 - 15 Kasım 2012, ss.303-312, (Tam Metin Bildiri) identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Basıldığı Şehir: Texas
  • Basıldığı Ülke: Amerika Birleşik Devletleri
  • Sayfa Sayıları: ss.303-312
  • Yıldız Teknik Üniversitesi Adresli: Evet

Özet

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.