[1
]
H. Krain, “Review of Centrifugal Compressor’s Application and Development,” J. Turbomach., vol. 127, no. 1, pp. 25–34, Feb. 2005,
doi: 10.1115/1.1791280.
[
2]
M. Casey and C. Robinson, Radial Flow Turbocompressors: Design, Analysis, and Applications, 1st ed. Cambridge University Press, 2021.
doi: 10.1017/9781108241663.
[
3]
M. P. Boyce, “Principles Of Operation And Performance Estimation Of Centrifugal Compressors.,” 1993.
[
4]
M. Zangeneh, “A compressible three-dimensional design method for radial and mixed flow turbomachinery blades,” 1991,
doi: 10.1002/fld.1650130505.
[
5]
M. Nili Ahmadabadi, F. Ghadak, and M. Mohammadi, “Quasi-Three-Dimensional Aerodynamic Design of S-shaped Air Intake Using Inverse Design Method,” Modares Mech. Eng., vol. 14, no. 4, pp. 189–199, 2014.
[6
]
A. Demeulenaere and R. Van den Braembussche, “Three-Dimensional Inverse Method for Turbomachinery Blading Design,” J. Turbomach., vol. 120, no. 2, pp. 247–255, Apr. 1998,
doi: 10.1115/1.2841399.
[
7]
K. F. C. Yiu and M. Zangeneh, “A 3D Automatic Optimization Strategy for Design of Centrifugal Compressor Impeller Blades,” in Volume 1: Turbomachinery, Stockholm, Sweden: American Society of Mechanical Engineers, Jun. 1998, p. V001T01A040.
doi: 10.1115/98-GT-128.
[
8]
A. Veress and R. Van Den Braembussche, “validation,” J. Fluids Eng., vol. 126, no. 5, pp. 799–806, Sep. 2004,
doi: 10.1115/1.1792258.
[
9]
M. Nili Ahmadabadi, F. Poursadegh, and M. Shahhosseini, “Performance Improvement of a Centrifugal Compressor Using a Developed Inverse Design Method,” Modares Mech. Eng., vol. 12, no. 2, pp. 109–124, 2012.
[1
0]
A. M. Danilishin, Y. V. Kozhukhov, and V. K. Yun, “Multi-objective optimization for impeller shroud contour, the width of vane diffuser and the number of blades of the centrifugal compressor stage based on the CFD calculation,” IOP Conf. Ser. Mater. Sci. Eng., vol. 90, p. 012046, Aug. 2015,
doi: 10.1088/1757-899X/90/1/012046.
[1
1]
J. Pei, W. Wang, and S. Yuan, “Multi-point optimization on meridional shape of a centrifugal pump impeller for performance improvement,” J. Mech. Sci. Technol., vol. 30, no. 11, pp. 4949–4960, Nov. 2016,
doi: 10.1007/s12206-016-1015-7.
[1
2]
I. E. Ohiemi and A. McNabola, “Design Optimisation of Legacy Francis Turbine Using Inverse Design and CFD: A Case Study of Bérchules Hydropower Plant,” Energies, 2025.
[
13]
W. Yi, H. Huang, and W. Han, “Design Optimization of Transonic Compressor Rotor Using CFD and Genetic Algorithm,” in Volume 6: Turbomachinery, Parts A and B, Barcelona, Spain: ASMEDC, Jan. 2006, pp. 1191–1198.
doi: 10.1115/GT2006-90155.
[1
4]
X. Shu, C. Gu, J. Xiao, and C. Gao, “Centrifugal compressor blade optimization based on uniform design and genetic algorithms,” Front. Energy Power Eng. China, vol. 2, no. 4, pp. 453–456, Dec. 2008,
doi: 10.1007/s11708-008-0083-5.
[1
5]
K. K. Ha and S. H. Kang, “An Optimization Method for Centrifugal Compressor Design Using the Surrogate Management Framework,” in ASME-JSME-KSME 2011 Joint Fluids Engineering Conference: Volume 1, Symposia – Parts A, B, C, and D, Hamamatsu, Japan: ASMEDC, Jan. 2011, pp. 679–684.
doi: 10.1115/AJK2011-22036.
[1
6]
M. Zangeneh, F. Mendonça, Y. Hahn, and J. Cofer, “3D Multi-Disciplinary Inverse Design Based Optimization of a Centrifugal Compressor Impeller,” in Volume 2B: Turbomachinery, Düsseldorf, Germany: American Society of Mechanical Engineers, Jun. 2014, p. V02BT45A022.
doi: 10.1115/GT2014-26961.
[1
7]
H.-S. Shim and K.-Y. Kim, “Design Optimization of the Impeller and Volute of a Centrifugal Pump to Improve the Hydraulic Performance and Flow Stability,” J. Fluids Eng., vol. 142, no. 10, p. 101211, Oct. 2020,
doi: 10.1115/1.4047539.
[1
8]
C. Wang et al., “Automatic optimization of centrifugal pump for energy conservation and efficiency enhancement based on response surface methodology and computational fluid dynamics,” Eng. Appl. Comput. Fluid Mech., vol. 17, no. 1, p. 2227686, Dec. 2023,
doi: 10.1080/19942060.2023.2227686.
[1
9]
P. Szulc et al., “Reconstruction and CFD Modeling of a Kaplan Turbine for Digital Twin Applications,” Energies, 2026.
[2
0]
S. Ibaraki, R. Van Den Braembussche, T. Verstraete, Z. Alsalihi, K. Sugimoto, and I. Tomita, “Aerodynamic design optimization of a centrifugal compressor impeller based on an artificial neural network and genetic algorithm,” in 11th International Conference on Turbochargers and Turbocharging, Elsevier, 2014, pp. 65–77.
doi: 10.1533/978081000342.65.
[2
1]
L. Qingkuo, Z. Zhang, Z. Yingjie, H. Ge, Y. Zhang, and L. Xingen, Aerodynamic optimization for the vaned diffusers of an ultra-high-pressure-ratio centrifugal compressor based on an efficient machine learning algorithm. 2022.
doi: 10.33737/gpps21-tc-31.
[2
2]
A. Zhang, Y. Liu, J. Yang, Z. Li, C. Zhang, and Y. Li, “Machine learning based design optimization of centrifugal impellers,” J. Glob. Power Propuls. Soc., vol. 6, pp. 124–134, Jul. 2022,
doi: 10.33737/jgpps/150663.
[2
3]
H. R. Ameri Mehr, “Inverse design of centrifugal compressor based on performance map,” M.S. thesis, University of Tehran, Tehran, Iran, 2023.
[2
4]
M. D. Hathaway, R. M. Chriss, A. J. Strazisar, and J. R. Wood, “Laser Anemometer Measurements of the Three-Dimensional Rotor Flow Field in the NASA Low-Speed Centrifugal Compressor,” NASA Lewis Research Center and U.S. Army Research Laboratory, Cleveland, OH, United States, NAS 1.60:3527, Jun. 1995. [Online].
Available: https://ntrs.nasa.gov/citations/19950025564
[2
5]
W. H. P. Leslie, “Numerical control: Mathematics and applications, P. Bézier, Wiley, London, 1972. No. of pages: 240. Price: £4.95,” Int. J. Numer. Methods Eng., vol. 6, no. 3, pp. 456–456, 1973,
doi: 10.1002/nme.1620060322.
[2
6]
D. C. Wilcox, Turbulence modeling for CFD, 3. ed., 2. print. La Cañada, Calif.: DCW Industries, 2010.
[2
7]
B. E. Launder and D. B. Spalding, “THE NUMERICAL COMPUTATION OF TURBULENT FLOWS”.
[2
8]
F. R. Menter, “Two-equation eddy-viscosity turbulence models for engineering applications,” AIAA J., vol. 32, no. 8, pp. 1598–1605, Aug. 1994,
doi: 10.2514/3.12149.
[2
9]
ANSYS Inc., “ANSYS CFX User’s Guide,” 2017.
[3
0]
K. Deb, A. Pratap, S. Agarwal, and T. Meyarivan, “A fast and elitist multiobjective genetic algorithm: NSGA-II,” IEEE Trans. Evol. Comput., vol. 6, no. 2, pp. 182–197, 2002,
doi: 10.1109/4235.996017.