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. 2018 Mar 4;9(3):110. doi: 10.3390/mi9030110
b length of the vertical sub-channel in O-structure (m)
C¯p mean input power coefficient
c mass fraction
Dh hydraulic diameter of the main channel (m)
d spacing between two O-structure (m)
F objective function
H total depth of the channel (m)
h1 depth of the horizontal sub-channel in O-structure (m)
h2 depth of the sub-channel in X-structure (m)
Lo length of initial part of main channel (m)
L total length of the mixing unit (m)
Le length of the channel outlet (m)
Lt total length of the micromixer (m)
LHS Latin hypercube sampling
M mixing index
Mo mixing index at the exit
MOGA multi-objective genetic algorithm
N number of sampling points
n number of mixing units
P pressure (Pa)
ΔP pressure drop (Pa)
Pi pitch length (m)
POD Pareto-optimal design
POF Pareto-optimal front
p length of the horizontal sub-channel in O-structure (m)
RBNN radial basis neural network
Re Reynolds number
SAR split and recombine
V average velocity (m/s)
W width of the main channel (m)
w1 width of the sub-channel in O-structure (m)
w2 width of the sub-channel in X-structure (m)
x, y, z Cartesian coordinates
Greek Symbols
α fluid diffusivity coefficient (m2/s)
η mixing efficiency
µ fluid dynamic viscosity (kg·m−1·s−1)
ν fluid Kinematic viscosity (m2/s)
ρ fluid density (kg/m3)
σ standard deviation
Subscripts
i sampling point or fluid component
m optimal mixing
max maximum value
x axial distance