The investigation and optimization of drag reduction in turbulent flow of Newtonian fluid passing through horizontal pipelines using functionalized magnetic nanophotocatalysts and lecithin
Fluid Dynamics and Transport Phenomena|Updated:2026-01-06
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The investigation and optimization of drag reduction in turbulent flow of Newtonian fluid passing through horizontal pipelines using functionalized magnetic nanophotocatalysts and lecithin
Chinese Journal of Chemical EngineeringVol. 28, Issue 1, Pages: 63-75(2020)
Affiliations:
Department of Chemical Engineering, Marvdasht Branch, Islamic Azad University, Marvdasht,Iran
Nadia Esfandiari, Reza Zareinezhad, Zahra Habibi. The investigation and optimization of drag reduction in turbulent flow of Newtonian fluid passing through horizontal pipelines using functionalized magnetic nanophotocatalysts and lecithin[J]. Chinese Journal of Chemical Engineering, 2020, 28(1): 63-75.
DOI:
Nadia Esfandiari, Reza Zareinezhad, Zahra Habibi. The investigation and optimization of drag reduction in turbulent flow of Newtonian fluid passing through horizontal pipelines using functionalized magnetic nanophotocatalysts and lecithin[J]. Chinese Journal of Chemical Engineering, 2020, 28(1): 63-75.DOI: 10.1016/j.cjche.2019.04.015.
The investigation and optimization of drag reduction in turbulent flow of Newtonian fluid passing through horizontal pipelines using functionalized magnetic nanophotocatalysts and lecithin
The nanophotocatalysts were synthesized in four stages and evaluated by FTIR
FESEM and VSM analysis. The influence of nanofluids containing functionalized magnetic TiO
2
nanophotocatalyst and dipalmitoylphosphatidylcholine lecithin in drag reduction of turbulent flow in four horizontal pipelines was studied. The effective parameters on drag reduction (nanoparticle concentration
surfactant concentration
pH and Re number) were investigated and optimized in each pipeline using response surface method. The drag reduction in 1/2" galvanized
3/4" galvanized
1/2" five-layer and 1/2" cuprous pipelines was found 99.1%
92.5%
87.6% and 85.2%
respectively. The model adequacy was measured using ANOVA. Based on the high determination coefficient
more than 95% of variance of experimental data in all pipelines was described by quadratic model.
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