Application of artificial neural network to predict specific fuel consumption and exhaust temperature for a Diesel engine

PARLAK A., Islamoglu Y., Yasar H., Egrisogut A.

APPLIED THERMAL ENGINEERING, cilt.26, ss.824-828, 2006 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 26
  • Basım Tarihi: 2006
  • Doi Numarası: 10.1016/j.applthermaleng.2005.10.006
  • Dergi Adı: APPLIED THERMAL ENGINEERING
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.824-828
  • Yıldız Teknik Üniversitesi Adresli: Hayır

Özet

The ability of an artificial neural network model, using a back propagation learning algorithm, to predict specific fuel consumption and exhaust temperature of a Diesel engine for various injection timings is studied. The proposed new model is compared with experimental results. The comparison showed that the consistence between experimental and the network results are achieved by a mean absolute relative error less than 2%. It is considered that a well-trained neural network model provides fast and consistent results, making it an easy-to-use tool in preliminary studies for such thermal engineering problems. (c) 2005 Elsevier Ltd. All rights reserved.