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Safikhani, Hamed, Taheri, Moein, usefi, mostafa. (1398). Sensitivity analysis of the effective nanofluid parameters flowing in flat tubes using the EFAST method. نشریه علمی دانشگاه سیستان و بلوچستان, 7(2), 80-87. doi: 10.22111/tpnms.2018.17962.1107
Hamed Safikhani; Moein Taheri; mostafa usefi. "Sensitivity analysis of the effective nanofluid parameters flowing in flat tubes using the EFAST method". نشریه علمی دانشگاه سیستان و بلوچستان, 7, 2, 1398, 80-87. doi: 10.22111/tpnms.2018.17962.1107
Safikhani, Hamed, Taheri, Moein, usefi, mostafa. (1398). 'Sensitivity analysis of the effective nanofluid parameters flowing in flat tubes using the EFAST method', نشریه علمی دانشگاه سیستان و بلوچستان, 7(2), pp. 80-87. doi: 10.22111/tpnms.2018.17962.1107
Safikhani, Hamed, Taheri, Moein, usefi, mostafa. Sensitivity analysis of the effective nanofluid parameters flowing in flat tubes using the EFAST method. نشریه علمی دانشگاه سیستان و بلوچستان, 1398; 7(2): 80-87. doi: 10.22111/tpnms.2018.17962.1107

Sensitivity analysis of the effective nanofluid parameters flowing in flat tubes using the EFAST method

Challenges in Nano and Micro Scale Science and Technology
مقاله 1، دوره 7، شماره 2، مهر 2019، صفحه 80-87    اصل مقاله (742.9 K)
نوع مقاله: Original Research Paper
شناسه دیجیتال (DOI): 10.22111/tpnms.2018.17962.1107
نویسندگان
Hamed Safikhani* 1؛ Moein Taheri2؛ mostafa usefi3
1University of arak
2Arak university
3Department of Mechanical Engineering, Faculty of Engineering, University of Guilan, Rasht, Iran
چکیده
In the present study, the effective parameters of water-Al2O3 nanofluid flowing in flat tubes are investigated using the EFAST Sensitivity Analysis (SA) method. The SA is performed using GMDH type artificial neural networks (ANN) which are based on validated numerical data of two phase modeling of nanofluid flow in flat tubes. There are five design variables namely: tube flattening (H), flow rate (Q), wall heat flux ( ), nanoparticle diameter (dp) and nanoparticle volume fraction (φ) and there are two objective functions namely: pressure drop (∆P) and heat transfer coefficient (h). The results show that among design variables, the tube flattening has the highest effect on variations of pressure drop (74%) and heat transfer coefficient (40%). Except tube flattening, the flow rate and the nanoparticle volume fraction has the highest effect on pressure drop (24%) and heat transfer coefficient (25%) respectively. The effects of all of the design variables on objective functions are shown in the results.
کلیدواژه‌ها
Sensitivity analysis؛ EFAST method؛ Nanofluid؛ flat tubes
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