Prediction of graphite nanofluids' dynamic viscosity by means of artificial neural networks

Dalkılıç A. S., Çebi A., Celen A., Yildiz O., Açıkgöz Ö., Jumpholkul C., ...Daha Fazla

International Communications in Heat and Mass Transfer, cilt.73, ss.33-42, 2016 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 73
  • Basım Tarihi: 2016
  • Doi Numarası: 10.1016/j.icheatmasstransfer.2016.02.010
  • Dergi Adı: International Communications in Heat and Mass Transfer
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.33-42
  • Anahtar Kelimeler: Nanofluids, Graphite, Viscosity, Artificial neural networks, ANN, SEM, WATER-BASED NANOFLUIDS, THERMAL-CONDUCTIVITY, ETHYLENE-GLYCOL, RHEOLOGICAL BEHAVIOR, HEAT-TRANSFER, TEMPERATURE, AL2O3, SUSPENSIONS, DEPENDENCE, TITANIA
  • Erzincan Binali Yıldırım Üniversitesi Adresli: Hayır