Experimental Study 0f Drag Reduction Phenomena in the Horizontal Tube with Nano SiO2 by Neural Network-Genetic Algorithm

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Gharekhani Fahimeh; ARDJMAND MEHDI; Vaziri Ali

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Paper Information

Journal: IRANIAN JOURNAL OF CHEMISTRY AND CHEMICAL ENGINEERING Year:2021 | Volume:40 | Issue:4 Page(s): 1304-1314

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Title

Experimental Study 0f Drag Reduction Phenomena in the Horizontal Tube with Nano SiO2 by Neural Network-Genetic Algorithm

Author(s)

Gharekhani Fahimeh | ARDJMAND MEHDI | Vaziri Ali | Issue Writer Certificate

Keywords

Drag reduction

Pipeline

Nano SiO2

Neural network

Single phase

Abstract

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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APA: Copy

Gharekhani, Fahimeh, ARDJMAND, MEHDI, & Vaziri, Ali. (2021). Experimental Study 0f Drag Reduction Phenomena in the Horizontal Tube with Nano SiO2 by Neural Network-Genetic Algorithm. IRANIAN JOURNAL OF CHEMISTRY AND CHEMICAL ENGINEERING (IJCCE), 40(4), 1304-1314. SID. https://sid.ir/paper/688127/en

Vancouver: Copy

Gharekhani Fahimeh, ARDJMAND MEHDI, Vaziri Ali. Experimental Study 0f Drag Reduction Phenomena in the Horizontal Tube with Nano SiO2 by Neural Network-Genetic Algorithm. IRANIAN JOURNAL OF CHEMISTRY AND CHEMICAL ENGINEERING (IJCCE)[Internet]. 2021;40(4):1304-1314. Available from: https://sid.ir/paper/688127/en

IEEE: Copy

Fahimeh Gharekhani, MEHDI ARDJMAND, and Ali Vaziri, “Experimental Study 0f Drag Reduction Phenomena in the Horizontal Tube with Nano SiO2 by Neural Network-Genetic Algorithm,” IRANIAN JOURNAL OF CHEMISTRY AND CHEMICAL ENGINEERING (IJCCE), vol. 40, no. 4, pp. 1304–1314, 2021, [Online]. Available: https://sid.ir/paper/688127/en

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