Prediction of heat transfer characteristics for forced convection pipe flow using artificial neural networks
المؤلفون المشاركون
Sultan, Husayn Sadiq
Salim, Khalid Bakr
Khayyun, Imad A.
المصدر
العدد
المجلد 10، العدد 3 (31 يوليو/تموز 2019)، ص ص. 73-89، 17ص.
الناشر
تاريخ النشر
2019-07-31
دولة النشر
العراق
عدد الصفحات
17
التخصصات الرئيسية
الملخص EN
This paper investigates the ability of utilizing the artificial neural network (ANN) in calculating the forced convection characteristics coefficients from internal flow of air inside a pipe subjected to constant heat flux.
The heat transfer characteristics such as Nusselt number (Nu), Stanton number (St) and friction factor (f) which are calculated using the empirical correlations have high deviation from that obtained from the experiments.
So, the ANN method is proposed for predicting these characteristics coefficients more close to the experimental results.
The training and testing data for optimizing the ANN structure are based on the experimental data obtained from the experiments performed on a forced convection apparatus.
Three training algorithms for the training of the ANN were used and the presented ANN is implemented by using such MATLAB program.
For the preferable ANN structure acquired in the current work, an acceptable mean square error was achieved for the training and test data, using the Trainlm algorithm.
The results reveal that the estimated results are very close to the experimental data.
Also, a new Graphical User Interface (GUI) is implemented for the application of ANN in the calculation of the attempted heat transfer parameters.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Salim, Khalid Bakr& Khayyun, Imad A.& Sultan, Husayn Sadiq. 2019. Prediction of heat transfer characteristics for forced convection pipe flow using artificial neural networks. Kufa Journal of Engineering،Vol. 10, no. 3, pp.73-89.
https://search.emarefa.net/detail/BIM-896151
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Salim, Khalid Bakr…[et al.]. Prediction of heat transfer characteristics for forced convection pipe flow using artificial neural networks. Kufa Journal of Engineering Vol. 10, no. 3 (Jul. 2019), pp.73-89.
https://search.emarefa.net/detail/BIM-896151
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Salim, Khalid Bakr& Khayyun, Imad A.& Sultan, Husayn Sadiq. Prediction of heat transfer characteristics for forced convection pipe flow using artificial neural networks. Kufa Journal of Engineering. 2019. Vol. 10, no. 3, pp.73-89.
https://search.emarefa.net/detail/BIM-896151
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references : p. 88-89
رقم السجل
BIM-896151
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر