Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Mark Pidduck"'
Autor:
Koji Morita, Ryo Akasaka, Dounan Jia, Tatsuya Matsumoto, Kenji Fukuda, Guanghui Su, Mark Pidduck
Publikováno v:
Journal of Nuclear Science and Technology. 39:1190-1198
An artificial neural network (ANN) was applied successfully to predict flow boiling curves. The databases used in the analysis are from the 1960's, including 1,305 data points which cover these parameter ranges: pressure P=100–1,000 kPa, mass flow
Autor:
Guanghui SU, Kenji FUKUDA, Koji MORITA, Mark PIDDUCK, Dounan JIA, Tatsuya MATSUMOTO, Ryo AKASAKA
Publikováno v:
Journal of Nuclear Science and Technology. 39:1190-1198
Publikováno v:
Guanghui, S, Morita, K, Fukuda, K, Pidduck, M, Dounan, J & Miettinen, J 2003, ' Analysis of the critical heat flux in round vertical tubes under low pressure and flow oscillation conditions : Applications of artificial neural network ', Nuclear Engineering and Design, vol. 220, no. 1, pp. 17-35 . https://doi.org/10.1016/S0029-5493(02)00304-7
Artificial neural networks (ANNs) for predicting critical heat flux (CHF) under low pressure and oscillation conditions have been trained successfully for either natural circulation or forced circulation (FC) in the present study. The input parameter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::33ac1f16e814350a5fa37b1fc9c3c25f
https://cris.vtt.fi/en/publications/593a73c0-df95-425c-8d54-0eb487b5e540
https://cris.vtt.fi/en/publications/593a73c0-df95-425c-8d54-0eb487b5e540