Robust Design Optimization of Hydrodynamic Characteristics of Airfoil 791

Chenghu ZHANG; Binjuan ZHAO; Zhongfu HUANG; Yanxia FU; Qi LIU; Huilong CHEN

doi:10.5293/IJFMS.2018.11.3.273

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자료유형: 학술저널

저자정보: Chenghu ZHANG (Jiangsu University) Binjuan ZHAO (Jiangsu University) Zhongfu HUANG (Jiangsu University of Science and Technology) Yanxia FU (Jiangsu University) Qi LIU (Jiangsu University) Huilong CHEN (Jiangsu University)

저널정보: 한국유체기계학회 International Journal of Fluid Machinery and Systems International Journal of Fluid Machinery and Systems Vol.11 No.3

발행연도: 2018.9

수록면: 273 - 282 (10page)

DOI: 10.5293/IJFMS.2018.11.3.273

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In this paper, the influence of the continuous random variation of the flow velocity on hydrodynamic characteristics of airfoil 791 was discussed, and a robust design optimization method was proposed to reduce the influence of uncertain factors on the stability of hydrodynamic performance. Firstly, Bezier curve was used to parameterize the suction side of the airfoil, and its thickness was controlled by four points, which was then taken as the optimization variables. Secondly, the criterion of robustness was given, and then a robust mathematical model was established. Finally, two objective functions of robust optimization were gained on the basis of uncertainty analysis with surrogate model. Combined with multi-objective genetic algorithm, a robust optimal solution with better hydrodynamic characteristics was obtained. The results showed that compared with original case, the thickness near trailing edge altered more smoothly, the resistance and surface wave intensity were obviously decreased, and the maximum reduction of drag-lift ratio and wake unevenness were 6.89% and 25.04% respectively, which contributed to the improvement of wake quality. The change of surface pressure and resistance coefficients were also more stable under the variable inlet flow velocity conditions, and then the robustness was strengthened accordingly. In conclusion, the robust design optimization can obviously improve the hydrodynamic characteristics of the airfoil while reducing the sensitivity to uncertain factors, meanwhile, it can provide better stability during the operating process.

#airfoil 791 #multi-objective genetic algorithm #robustness #surrogate model #uncertainty analysis

참고문헌 (21)

참고문헌 신청

[학술지(정기간행물)] - Deb, K. / 2006 / Introducing Robustness in Multi-objective Optimization / Evolutionary Computation 14 (4) : 463 ~ 494

[학술대회논문] - Gupta, H. / 2005 / Searching for Robust Pareto-optimal Solutions in Multi-objective Optimization / proceedings of the Third International Conference on Evolutionary Multi-Criterion Optimization(EMO-05) 3410 : 150 ~ 164

[학술대회논문] - Jin, Y. / 2003 / Trade-off Between Performance and Robustness:an Evolutionary Multi-objective Approach / proceedings of the Third International Conference on Evolutionary Multi-Criterion Optimization(EMO-03) 2632 : 237 ~ 251

[학술대회논문] - Panizza, A. / 2012 / Performance Uncertainty Quantification for Centrifugal Compressors: Part 1- Stage Performance Variation / Conference of Turbine Technical Conference and Exposition 8 : 1863 ~ 1872

[학술지(정기간행물)] - Ju, Y. / 2016 / Robust Design Optimization Method for Centrifugal Impellers Under Surface Roughness Uncertainties Due to Blade Fouling / Chinese Journal of Mechanical Engineering 29 (2) : 301 ~ 314

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