XU Chenzhou, QIAO Jianling, NIE Han, et al. Numerical investigation on aerodynamic performance of a standard model CHN-T1 using an unstructured flow solver[J]. 2019, 37(2): 291-300.
XU Chenzhou, QIAO Jianling, NIE Han, et al. Numerical investigation on aerodynamic performance of a standard model CHN-T1 using an unstructured flow solver[J]. 2019, 37(2): 291-300.DOI: 10.7638/kqdlxxb-2018.0198.
Numerical investigation on aerodynamic performance of a standard model CHN-T1 using an unstructured flow solver
high-fidelity computational fluid dynamics (CFD) technology plays an increasingly important role in aerodynamic shape design and large transport aircraft optimization. Despite the wide application of Reynolds-averaged Navier-Stokes (RANS) flow solvers to aerodynamic performance analysis for complex aircraft configurations in transonic flows
there is still a strong need to verify these solvers. An unstructured RANS solver TNS is used to predict both the cruise performance and buffeting-characteristics of a standard transport model CHN-T1
which is released by the 1st aeronautics CFD credibility workshop (AeCW-1) organizing committee. The computed results are compared with the wind-tunnel experimental data. The influence of mesh size and turbulence model on the cruising performance prediction is studied and the effects of support interference
and static aeroelastic deformation on the buffeting characteristics computation are analyzed. The results show that the predicted aerodynamic performance including lift-to-drag ratio at the cruising condition is in very good agreement with experimental data
with all the values located within the error bar of experimental data. This good agreement indicates the reliability and accuracy of the TNS solver for the design and aerodynamic performance analysis of large transport aircrafts.
关键词
Keywords
references
GAO Z H, WANG C. Aerodynamic shape design methods for aircraft:status and trends[J]. Acta Aerodynamica Sinica, 2017, 35(4):516-528. (in Chinese)
XIONG J T, QIAO Z D, HAN Z H. Aerodynamic optimization design of transonic airfoil and wing based on Navier-Stokes equations[J]. Acta Aerodynamica Sinica, 2007, 25(1):29-33. (in Chinese)
WANG Y T. An overview of DPW Ⅳ~DPW Ⅳ numerical simulation technology[J]. Acta Aeronautica et Astronautica Sinica, 2018, 39(4):021836. (in Chinese)
WANG Y T. An overview of HiLiftPW-1 to HiLiftPW-3 numerical simulation technologies[J]. Acta Aeronautica et Astronautica Sinica, 2018, 39(7):021997. (in Chinese)
WANG Y T, SUN Y, WANG G X, et al. High-order accuracy numerical simulation of DLR-F6 wing-body configuration[J]. Acta Aeronautica et Astronautica Sinica, 2015, 36(9):2923-2929. (in Chinese)
WANG Y T, MENG D H, SUN Y, et al. High-order accuracy numerical simulation of DLR-F6/FX2B wing-body configuration[J]. Acta Aeronautica et Astronautica Sinica, 2016, 37(2):484-490. (in Chinese)
SLOTNICK J, KHODADOUST A, ALONSO J, et al. CFD Vision 2030 Study: A path to revolutionary computational aerosciences: NASA/CR-2014-218178[R]. Washington, D C: NASA, 2014.
WANG G, YE Z Y. Generation of three dimensional mixed and unstructured grids and its application in solving Navier-Stokes equations[J]. Acta Aeronautica et Astronautica Sinica, 2003, 24(5):385-390. (in Chinese)
ROY C J. Summary of data from the Sixth AIAA CFD drag prediction workshop: Case 1 code verification[C]. 55th AIAA Aerospace Sciences Meeting, AIAA SciTech Forum, AIAA 2017-1206.
ABDOL-HAMID K S, CARLSON J, RUMSEY C L, et al. DPW-6results using FUN3D with focus on k-kL-MEAH2015 turbulence model[C]. 55th AIAA Aerospace Sciences Meeting, AIAA SciTech Forum, AIAA 2017-0962.
MICHAL T R, BABCOCK D, KAMENETSKIY D S, et al. Comparison of fixed and adaptive unstructured grid results for drag prediction workshop 6[C]. 55th AIAA Aerospace Sciences Meeting, AIAA SciTech Forum, AIAA 2017-0961.
TINOCO E N, BRODERSEN O, KEYE S, et al. Summary of data from the sixth AIAA CFD drag prediction workshop: CRM Cases 2 to 5[C]. 55th AIAA Aerospace Sciences Meeting, AIAA SciTech Forum, AIAA 2017-1208.
DERLAGA J M, MORRISON J H. Statistical analysis of CFD solutions from the sixth AIAA drag prediction workshop[C]. 55th AIAA Aerospace Sciences Meeting, AIAA SciTech Forum, AIAA 2017-1209.
SLOTNICK J, HANNON J, CHAFFIN M. Overview of the 1st AIAA CFD high lift prediction workshop[C]. AIAA Aerospace Sciences Meeting Including the New Horizons Forum and Aerospace Exposition. 2013.
BALIN R, JANSENK E. A comparison of RANS, URANS, and DDES for high lift systems from HiLiftPW-3[C]. 2018 AIAA Aerospace Sciences Meeting, AIAA 2018-1254.
ELIASSON P, CATALANO P, PAPE M C L, et al. Improved CFD predictions for high lift flows in the European project EUROLIFT Ⅱ[C]. 25th AIAA Applied Aerodynamics Conference, DLR, AIAA 2007-4303.
YU Y G, ZHOU Z, HUANG J T, et al. Aerodynamic design of a standard model CHN-T1 for single-aisle passenger aircraft[J]. Acta Aerodynamica Sinica, 2018, 36(3):505-513. (in Chinese)
LI Q, LIU D, XU X, et al. Experimental study of aerodynamic characteristic of CHN-T1 standard model in 2.4 m transonic wind tunnel[J]. Acta Aerodynamica Sinica, 2019, 37(2):337-344. (in Chinese)
WANG N H, CHANG X H, ZHAO Z, et al. Aerodynamic performance prediction and credibility study of the transport model CHN-T1 based on HyperFLOW solver[J]. Acta Aerodynamica Sinica, 2019, 37(2):301-309. (in Chinese)
ZHANG Y B, TANG J, CHEN J T, et al. Aerodynamic characteristics prediction of CHN-T1 standard model with unstructured grid[J]. Acta Aerodynamica Sinica, 2019, 37(2):262-271. (in Chinese)
LI W, WANG Y T, Hong J W, et al. Aerodynamic characteristics simulation of CHN-T1 model with TRIP3.0[J]. Acta Aerodynamica Sinica, 2019, 37(2):272-279. (in Chinese)
ECIBINIB T D, PALACIOS F, COPELAND S R, et al. SU2:An open-source suife for multiphysics simulation and design[J]. AIAA J, 2015, 54(3):1-19.