Use of Artificial Neural Networks for Prediction of the Convective Heat Transfer Coefficient in Evaporative Mini-Tubes

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• 作者：Ricardo Romero-Mé ; ndez^a ; ^{rromerom@uaslp.mx" class="auth_mail" title="E-mail the corresponding author}Author Vitae ; Patricia Lara-Vá ; zquez^b ; ^{patylarav@gmail.com" class="auth_mail" title="E-mail the corresponding author}Author Vitae ; Francisco Oviedo-Tolentino^a ; ^{francisco.oviedo@uaslp.mx" class="auth_mail" title="E-mail the corresponding author}Author Vitae ; Hé ; ctor Martí ; n Durá ; n-Garcí ; a^c ; ^{hduran@uaslp.mx" class="auth_mail" title="E-mail the corresponding author}Author Vitae ; Francisco Gerardo Pé ; rez-Gutié ; rrez^a ; ^{francisco.perez@uaslp.mx" class="auth_mail" title="E-mail the corresponding author}Author Vitae ; Arturo Pacheco-Vega^d ; ^{apacheco@calstatela.edu" class="auth_mail" title="E-mail the corresponding author}Author Vitae
• 关键词：artificial neural networks ; thermal systems ; compact evaporators ; mini-tubes ; convective heat transfer
• 刊名：Ingeniería, Investigación y Tecnología
• 出版年：2016
• 出版时间：January-March 2016
• 年：2016
• 卷：17
• 期：1
• 页码：23-34
• 全文大小：423 K

文摘

In this work, artificial neural networks (ANNs) are used to characterize the convective heat transfer rate that occurs during the evaporation of a refrigerant flowing inside tubes of very small diameter. An experimental setup based on an inverse Rankine refrigeration cycle is used to obtain the heat transfer data in an R-134a refrigerant mini-tube evaporator set operated under constant heat flux conditions. A considerable amount of data was acquired to map the thermal performance of the evaporative process under analysis, 75% of which were used for training the ANN and 25% were reserved for prediction purposes. Several neural network configurations were trained and the most accurate was selected to predict the thermal behavior. The results obtained in this investigation reveal the convenience of using ANNs as an accurate predictive tool for determination of convective heat transfer rates inside mini-tube evaporators.