experimental study 0f drag reduction phenomena in the horizontal tube with nano sio2 by neural network - genetic algorithm

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%.