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Iranian Journal of Chemistry and Chemical Engineering، جلد ۴۰، شماره ۴، صفحات ۱۳۰۴-۱۳۱۴
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| عنوان فارسی |
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| چکیده فارسی مقاله |
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| کلیدواژه‌های فارسی مقاله |
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| عنوان انگلیسی |
Experimental Study 0f Drag Reduction Phenomena in the Horizontal Tube with Nano SiO2 by Neural Network - Genetic Algorithm |
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| چکیده انگلیسی مقاله |
In this study, nano-silica oxide's effect as a Drag Reducing Agent (DRA) of water flow in a 12.7 and 25.4 mm galvanized pipe was investigated. The studied parameters include Nano silica oxide concentration, Flow rate, temperature, and tube pipe diameter. To develop the conditions in preparing the Nano-particle on Drag Reduction (DR), nano-particles were provided in the top water-based fluid. To have a comprehensive analysis of process folding conditions, the experiments were carried out with three different drag-reducing concentration agents with three various temperatures and three different flow rates. Moreover, as a new method in this study, the experimental (Drag reduction percent) outputs were evaluated and analyzed using the Artificial neural network which is optimized by a genetic algorithm. In the consequence of algorithm genetic, the highest rate of drag reduction occurred at a horizontal pipeline 12.7 mm, temperature 41.07 °C, and a concentration of 0.628 with a 1441.84 flow rate was 25.84%. |
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| کلیدواژه‌های انگلیسی مقاله |
Drag reduction,Pipeline,Nano SiO2,Neural network,single phase |
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| نویسندگان مقاله |
Fahimeh Gharekhani |
Department of Chemical Engineering, Science and Research Branch, Islamic Azad University, Tehran, I.R. IRAN
Mehdi Ardjmand |
Department of Chemical Engineering, South Tehran Branch, Islamic Azad University, Tehran, I.R. IRAN
Ali Vaziri |
Department of Chemical Engineering, Science and Research Branch, Islamic Azad University, Tehran, I.R. IRAN
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| نشانی اینترنتی |
https://ijcce.ac.ir/article_242139_cc2d3df56d7788542cacabc4fa9b02dd.pdf |
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| زبان مقاله منتشر شده |
en |
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