ZHANG Feng, YAO Hui-ju, NAN Hua, LU: Cheng-cheng. Importance measure of aircraft anti-icing cavity stucture parameters[J]. Journal of Traffic and Transportation Engineering, 2015, 15(3): 85-91. doi: 10.19818/j.cnki.1671-1637.2015.03.010
Citation: ZHANG Feng, YAO Hui-ju, NAN Hua, LU: Cheng-cheng. Importance measure of aircraft anti-icing cavity stucture parameters[J]. Journal of Traffic and Transportation Engineering, 2015, 15(3): 85-91. doi: 10.19818/j.cnki.1671-1637.2015.03.010

Importance measure of aircraft anti-icing cavity stucture parameters

doi: 10.19818/j.cnki.1671-1637.2015.03.010
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  • Author Bio:

    ZHANG Feng(1982-), male, associate professor, PhD, +86-29-88431002, yifengzhang@163.com

  • Received Date: 2015-01-12
  • Publish Date: 2015-06-25
  • The three common aircraft anti-icing cavity structures were analyzed, the grid model of anti-icing cavity structure with double skins was set up by using Gambit software. The flowing condition of heat in anti-icing cavity structure was simulated by using Spalart-Allmaras turbulence model, the heat transfer efficiency was analyzed with Fluent software, and the importance measure model of anti-icing cavity structure on heat transfer efficiency was built. The function relationship between structure parameters and heat transfer coefficient for anti-icing cavity was established by using the stochastic response surface method, the low dispersion sampling method was used to solve the importance measure, and the analysis process of importance measure for anti-icing cavity structure parameters was set up. Analysis result shows that when the distance between piccolo tube center and outer skin increases from 35.15 mm to 38.85 mm, the heat transfer coefficient reduces from 0. 505 to 0. 463. When the channel height of double skins increases from 2.85 mm to 3. 15 mm, the heat transfer coefficient reduces from 0. 495 to 0. 476. When the jet hole diameter increases from 1.90 mm to 2.10 mm, the heat transfer coefficient reduces from 0. 505 to 0. 494. When the jet hole angle increases from 14. 25~ to 15.75~, the heat transfer coefficient increases from 0. 476 to 0. 494. The importance order of anti-icing cavity parameters is the jet hole angle, the distance between piccolo tube center and outer skin, the jet hole diameter, the channel height of double skins. In the machining and assembly process of anti- icing cavity structure, the jet hole angle and the distance between piccolo tube center and outer skin are mainly considered.

     

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  • [1]
    ZHOU Yu-jie. Optimal design and numerical simulation of the hot air cavity structure[D]. Nanjing: Nanjing University of Aeronautics and Astronautics, 2010. (in Chinese)
    [2]
    THOMAS S K, CASSONI R P. Aircraft anti-icing and de-icing techniques and modeling[J]. Journal of Aircraft, 1996, 33(5): 841-854. doi: 10.2514/3.47027
    [3]
    LI Hang-hang, ZHOU Min. Engineering application of icing detection technique and anti-icing and deicing system on aircraft[J]. Advances in Aeronautical Science and Engineering, 2010, 1(2): 112-115. (in Chinese) doi: 10.3969/j.issn.1674-8190.2010.02.004
    [4]
    BU Xue-qin, YU Jia, LIN Gui-ping, et al. Investigation of the design of wing hot-air anti-icing system[J]. Journal of Beijing University of Aeronautics and Astronautics, 2010, 36(8): 927-930. (in Chinese)
    [5]
    CHANG Shi-nan, YUAN Mei-ming, HUO Xi-heng, et al. Investigations of the bleed air anti-icing system for an aircraft wing[J]. Journal of Aerospace Power, 2008, 23(6): 1141-1145. (in Chinese) http://www.cnki.com.cn/Article/CJFDTOTAL-HKDI200806031.htm
    [6]
    YAO Hui-ju. Function reliability analysis and optimal design of the wing hot-air anti-icing cavity[D]. Xi'an: Northwestern Polytechnical University, 2014. (in Chinese)
    [7]
    SILVA G A L, SILVARES O M, ZERBINI E J G J. Numerical simulation of airfoil thermal anti-ice operation, part 1: mathematical modeling[J]. Journal of Aircraft, 2007, 44(2): 627 -634. doi: 10.2514/1.544
    [8]
    LIU H H T, HUA Jun. Three-dimensional integrated thermodynamic simulation for wing anti-icing system[J]. Journal of Aircraft, 2004, 41(6): 1291-1297. doi: 10.2514/1.5594
    [9]
    MORENCY F, TEZOK F, PARASCHIVOIU I. Heat and mass transfer in the case of anti-icing system simulation[J]. Journal of Aircraft, 2000, 37(2): 245-252. doi: 10.2514/2.2613
    [10]
    BROWN J M, RAGHUNATHAN S, WATTERSON J K. Heat transfer correlation for anti-icing system[J]. Journal of Aircraft, 2003, 40(1): 65-70.
    [11]
    DU Yan-xia, GUI Ye-wei, XIAO Chun-hua, et al. Investigation of heat transfer in aircraft icing[J]. Journal of Engineering Thermophysics, 2009, 30(11): 1923-1925. (in Chinese) doi: 10.3321/j.issn:0253-231X.2009.11.034
    [12]
    GUAN Ning. Numerical simulation of anti-icing thermal loads on a 3d airfoil[D]. Nanjing: Nanjing University of Aeronautics and Astronautics, 2007. (in Chinese)
    [13]
    SANG Wei-min, JIANG Sheng-ju, LI Feng-wei. Numerical simulation for ice accretion and icing effects on airfoils[J]. Chinese Journal of Applied Mechanics, 2008, 25(3): 371-375. (in Chinese) http://www.cnki.com.cn/Article/CJFDTOTAL-YYLX200803006.htm
    [14]
    ZHOU Zhi-hong, YI Xian, GUI Ye-wei, et al. Prediction of rime ice accretion on complex configurations[J]. Journal of Sichuan University: Engineering Science Edition, 2012, 44(S2): 158-162. (in Chinese) http://www.cnki.com.cn/Article/CJFDTOTAL-SCLH2012S2039.htm
    [15]
    ZHANG Qiang, GAO Zheng-hong. Simulation of ice accretion based on six degree-of-freedom equation[J]. Flight Dynamics, 2013, 31(1): 1-4. (in Chinese) http://www.cnki.com.cn/Article/CJFDTOTAL-FHLX201301000.htm
    [16]
    PENG Long, BU Xue-qin, LIN Gui-ping, et al. Influence of the structural parameters on thermal performance of the hot air anti-icing system[J]. Acta Aerodynamica Sinica, 2014, 32(6): 848-853. (in Chinese) http://www.cnki.com.cn/Article/CJFDTOTAL-KQDX201406019.htm
    [17]
    BU Xue-qin, LIN Gui-ping, YU Jia. Three-dimensional conjugate heat transfer simulation for the surface temperature of wing hot-air anti-icing system[J]. Journal of Aerospace Power, 2009, 24(11): 2495-2500. (in Chinese) http://www.cnki.com.cn/Article/CJFDTOTAL-HKDI200911015.htm
    [18]
    SALTELLI A. Sensitivity analysis for importance assessment[J]. Risk Analysis, 2002, 22(3): 579-590. doi: 10.1111/0272-4332.00040
    [19]
    BORGONOVO E. A new uncertainty importance measure[J]. Reliability Engineering and System Safety, 2007, 92(6): 771-784. doi: 10.1016/j.ress.2006.04.015
    [20]
    WANG Pan, LU Zhen-zhou, TANG Zhang-chun. Importance measure analysis with epistemic uncertainty and its moving least square solution[J]. Computers and Mathematics with Applications, 2013, 66(4): 460-471. doi: 10.1016/j.camwa.2013.06.001
    [21]
    LI Hong-shuang, LU Zhen-zhou, YUAN Xiu-kai. Nataf transformation based point estimate method[J]. Chinese Science Bulletin, 2008, 53(17): 2586-2592.
    [22]
    LI Wei. Combined evaluation method of slope stability[J]. Journal of Traffic and Transportation Engineering, 2010, 10(5): 8-11. (in Chinese) doi: 10.3969/j.issn.1671-1637.2010.05.002
    [23]
    LIU Ying. Application of stochastic response surface method in the structural reliability[J]. Procedia Engineering, 2012, 28: 661-664. doi: 10.1016/j.proeng.2012.01.787
    [24]
    KAYMAZ I, MCMAHON C A. A response surface method based on weighted regression for structural reliability analysis[J]. Probabilistic Engineering Mechanic, 2005, 20(1): 11-17. doi: 10.1016/j.probengmech.2004.05.005
    [25]
    WANG Xin-huai. Number theoretical method for numerical multiple integrals and the application in structural reliability analysis[D]. Nanjing: Hohai University, 2005. (in Chinese)
    [26]
    DAI Hong-zhe, WANG Wei. Application of low-discrepancy sampling method in structural reliability analysis[J]. Structural Safety, 2009, 31(1): 55-64. doi: 10.1016/j.strusafe.2008.03.001
    [27]
    DAI Hong-zhe, WANG Wei. Low discrepancy sampling method for structural reliability sensitivity analysis[J]. Engineering Mechanics, 2010, 27(1): 104-108. (in Chinese) http://www.cnki.com.cn/Article/CJFDTOTAL-GCLX201001021.htm

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