TY - JOUR
T1 - A comprehensive thermo-hydraulic analysis and optimization of turbulent TiO2/W-EG nano-fluid flow inside double-pipe heat exchangers with helical coil inserts
AU - Ebrahimi-Moghadam, Amir
AU - Gohari, Farhad
AU - Hoseinzade, Davood
AU - Deymi-Dashtebayaz, Mahdi
N1 - Publisher Copyright:
© 2020, The Brazilian Society of Mechanical Sciences and Engineering.
PY - 2020/5/1
Y1 - 2020/5/1
N2 - Abstract: The main aim in current work is to optimize TiO2/W-EG nano-fluid (with 60 vol% of water and 40 vol% of ethylene glycol) flow within the inner tube of the double-pipe heat exchangers with helical coil inserts. The entropy generation is selected as the target function and is to be minimized. To reach this goal, at the first step, a comprehensive sensitivity analysis is carried out taking into account all of the nano-fluid flow conditions (including nanoparticle volume fraction ϕ, Reynolds number Re and Prandtl number Pr) and geometric parameters of the helical coil inserts (including thepitch-to-diameter ratio of coil Π). Afterward, the genetic algorithm (GA) is utilized in the optimization process. The results of sensitivity analysis reveal that ϕ and Π , respectively, have the highest and lowest impact on the thermodynamics characteristics. Also, the addition of up to 0.02 vol% nanoparticles leads to a maximum of 13.93% improvement in dimensionless entropy generation (DEG). The outputs of the GA are ϕopt = 0.0198%, Re opt = 8421.173, Pr opt = 32.833, Π opt = 2.437 and DEG opt = 0.005086. Furthermore, based on the optimization results, a useful correlation is proposed to find the optimum geometry of the helical coil based on the nano-fluid flow conditions. Graphic abstract: [Figure not available: see fulltext.].
AB - Abstract: The main aim in current work is to optimize TiO2/W-EG nano-fluid (with 60 vol% of water and 40 vol% of ethylene glycol) flow within the inner tube of the double-pipe heat exchangers with helical coil inserts. The entropy generation is selected as the target function and is to be minimized. To reach this goal, at the first step, a comprehensive sensitivity analysis is carried out taking into account all of the nano-fluid flow conditions (including nanoparticle volume fraction ϕ, Reynolds number Re and Prandtl number Pr) and geometric parameters of the helical coil inserts (including thepitch-to-diameter ratio of coil Π). Afterward, the genetic algorithm (GA) is utilized in the optimization process. The results of sensitivity analysis reveal that ϕ and Π , respectively, have the highest and lowest impact on the thermodynamics characteristics. Also, the addition of up to 0.02 vol% nanoparticles leads to a maximum of 13.93% improvement in dimensionless entropy generation (DEG). The outputs of the GA are ϕopt = 0.0198%, Re opt = 8421.173, Pr opt = 32.833, Π opt = 2.437 and DEG opt = 0.005086. Furthermore, based on the optimization results, a useful correlation is proposed to find the optimum geometry of the helical coil based on the nano-fluid flow conditions. Graphic abstract: [Figure not available: see fulltext.].
KW - Double-pipe heat exchanger (DPHE)
KW - Genetic algorithm (GA)
KW - Nano-fluid
KW - Thermo-hydraulic optimization
UR - http://www.scopus.com/inward/record.url?scp=85083570511&partnerID=8YFLogxK
U2 - 10.1007/s40430-020-02320-7
DO - 10.1007/s40430-020-02320-7
M3 - Journal article
AN - SCOPUS:85083570511
SN - 1678-5878
VL - 42
JO - Journal of the Brazilian Society of Mechanical Sciences and Engineering
JF - Journal of the Brazilian Society of Mechanical Sciences and Engineering
IS - 5
M1 - 232
ER -