Optimization of CDA Blade Based on Surrogate Model

[1] W. C. Lu,K. Wang. Optimization analysis of controllable diffusion blade type for axial fans[J]. Fluid Machinery,1995(10):19-22. Search in Google Scholar

[2] LV Wencan,TAN Fasheng,WANG Ji. Optimization analysis of controllable diffusion blade profile for axial flow fans[J]. Fluid Machinery,1995(10):19-22. Search in Google Scholar

[3] LIU Bo, ZHOU Xinhai, YAN Ruqun. Numerical optimization of controlled diffusion lobe design for axial-flow compressor[J]. Journal of Aeronautical Dynamics,1991,6(1):9-12,89 Search in Google Scholar

[4] LIU Bo,ZHOU Xinhai,YAN Ruqun. Numerical optimization design of controllable diffusion blade profile of axial flow compressor[J]. Journal of Aerospace Power, 1991, 6(1):9-12. Search in Google Scholar

[5] HUANG Song, YANG Chengwu, HAN Ge, ZHAO Shengfeng, WANG Mingyang, LU Xingen. Optimized design of controlled diffusion leaf shape using whale algorithm[J]. Journal of Xi’an Jiaotong University,2020,54(03):49-57. Search in Google Scholar

[6] HUANG Song,YANG Chengwu,HAN Ge,et al.Optimal design of a controlled diffusion airfoil with the whale algorithm[J]. Journal of Xi’an Jiaotong University,2020,54(03):49-57. Search in Google Scholar

[7] Bouhlel M A, He S, Martins J R R A. Scalable gradient–enhanced artificial neural networks for airfoil shape design in the subsonic and transonic regimes[J]. Structural and Multidisciplinary Optimization, 2020, 61: 1363-1376. Search in Google Scholar

[8] Ariyarit A, Phiboon T, Kanazaki M, et al. The effect of multi-additional sampling for multi-fidelity efficient global optimization[J]. Symmetry, 2020, 12(9): 1499. Search in Google Scholar

[9] Priyanka R, Sivapragasam M. Multi-fidelity surrogate model-based airfoil optimization at a transitional low Reynolds number[J]. Sādhanā, 2021, 46(1): 58. Search in Google Scholar

[10] Q. Wang, M. Zhang, R. N. Li, et al. Optimization of aerodynamic shape of vertical axis wind turbine airfoil based on Kriging model[J/OL]. Gansu Science Journal,2023,(06):1-7 Search in Google Scholar

[11] WANG Qing,ZHANG Min,LI Rennian,et al.Aerodynamic Shape Optimization of VAWT Airfoil Based on Kriging Model[J].Journal of Gansu Sciences,2023,35(6):118-124. Search in Google Scholar

[12] YU Yang, REN Jianyong, XIAO Nannan et al. Multi-condition optimization of a compressor based on customized controllable diffusion lobe pattern[J]. Ship Science and Technology,2022,44(23):92-98. Search in Google Scholar

[13] YU Yang,REN Jianyong,XIAO Nannan et al.Multi-condition optimization of compressor based on customized controllable diffusion profile[J]. Ship Science and Technology,2022,44(23):92-98. Search in Google Scholar

[14] Fei Teng, Ji Lucheng, Zhou Ling. Application of neural network modeling in the analysis of pressurizer flux characteristics[J]. Journal of Aerospace Dynamics:2022,37(6):1260-1272. Search in Google Scholar

[15] FEI Teng,JI Lucheng,ZHOU Ling.Application of neural network model in compressor through-flow analysis[J]. Journal of Aerospace Power:2022,37(06):1260-1272. Search in Google Scholar

[16] Wen H , Sang S , Qiu C , et al. A new optimization method of wind turbine airfoil performance based on bessel equation and gabp artificial neural network[J]. Energy, 187. Search in Google Scholar

[17] Yue Z , Zhou C , Jin D , et al. A spanwise loss model for axial compressor stator based on machine learning[J]. Chinese Journal of Aeronautics, 2022, 35(11):11. Search in Google Scholar

[18] Ahmed S, Kamal K, Ratlamwala T A H, et al. Aerodynamic analyses of airfoils using machine learning as an alternative to rans simulation[J]. Applied Sciences, 2022, 12(10): 5194. Search in Google Scholar

[19] CHEN Chen-Ming,GUO Xue-Yan,CHANG Lin-Sen. Research on wing optimization and domain adaptation based on BP neural network agent model[J]. Journal of Power Engineering,2022,42(07):657-663. Search in Google Scholar

[20] CHEN Chenming,GUO Xueyan,CHANG Linsen.Reaearch on airfoil optimization and domain adaptation based on BP neural network surrogate model[J]. Journal of Chinese Society of Power Engineering, 2022,42(07):657-663. Search in Google Scholar

[21] Steinert W , Eisenberg B , Starken H . Design and testing of a controlled diffusion airfoil cascade for industrial axial flow compressor application[C]// DLR. DLR, 1991:583-590. Search in Google Scholar

[22] KONG Qingguo, DU Xubo, QIANG Xiaoqing, et al. Optimization of compressor blade shape based on mid-arc curvature control [J]. Propulsion Technology, 2020, 41(8): 1740-1747. Search in Google Scholar

[23] KONG Qingguo,DU Xubo,QIANG Xiaoqing et al. Compressor airfoil optimization based on camber curvature control[J]. Journal of Propulsion Technology, 2020,41(8):1740-1747. Search in Google Scholar