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1. Transient probabilistic analysis for turbine blade-tip radial clearance with multi-component and multi-physics fields based on DCERSM | |||
Guo Ruichen,Fei Chengwei,Bai Guangchen | |||
Aviation 20 November 2015 | |||
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Abstract:Against the background of the probabilistic analysis for High Pressure Turbine (HPT) Blade-tip Radial Running Clearance (BRRC) to achieve the high-performance and high-reliability of aeroengine, Distributed Collaborative Extremum Response Surface Method (DCERSM) was proposed for the dynamic probabilistic analysis of complex turbomachinery on the foundation of quadratic polynomials response surface model. On the basis of deeply investigating Extremum Response Surface method (ERSM), the mathematical model of DCERSM was established based on quadratic polynomial function. As illustrated in BRRC transient probabilistic analysis with multiple components and multi-physics fields based on DCERSM, blade-tip radial static clearance δ=1.82 mm is advisable synthetically considering the reliability and working efficiency of gas turbine. The reliability, distribution characteristics and failure probability of BRRC are obtained. Besides, rotational speed ω and gas temperature T are the most important factors and expansivity coefficients and surface coefficients of heat transfer show also important influence on BRRC variation. Through the comparison of three methods (DCERSM, ERSM, Monte Carlo method), it is demonstrated that DCERSM reshapes the possibility of complex turbomachinery probabilistic analysis and improves computing efficiency while preserving the accuracy. DCERSM offers a useful insight for BRRC dynamic reliability design and optimization with multi-object and multi-discipline. The efforts of this study also enrich the theory and method of mechanical reliability design. | |||
TO cite this article:Guo Ruichen,Fei Chengwei,Bai Guangchen. Transient probabilistic analysis for turbine blade-tip radial clearance with multi-component and multi-physics fields based on DCERSM[J]. |
2. Near Space SAR Imaging Using Subaperture Technique | |||
Xiao Xin,Jing Xiaojun | |||
Aviation 06 December 2011 | |||
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Abstract:Near space, airspace above the ground about 20-100 km, is higher than existing aircraft flight height and lower than existing low orbit satellite, including Stratosphere, mesosphere and part of ionosphere. Near space have some unique advantage, but currently still no effective development and application, while troposphere and low-orbit space is increasingly scarce. Near space SAR geometric model is similar with the aircraft SAR, but little difference brings completely different result. This paper discusses the near space new environment character and proposes that full aperture should be divided into subaperture to adapt new environment character. Then the novel subaperture technique is applied to Range Doppler Algorithm (RDA), and a sub-band combination technique is introduced to compose the subaperture images. Simulation results show that the proposed method indeed seems to be a promising solution to near space SAR imaging. | |||
TO cite this article:Xiao Xin,Jing Xiaojun. Near Space SAR Imaging Using Subaperture Technique[OL].[ 6 December 2011] http://en.paper.edu.cn/en_releasepaper/content/4452905 |
3. The helicopter blades aeroelastic stability optimization | |||
Wang Hongzhou ,Liu Yong,Zhang Chenglin | |||
Aviation 30 June 2009 | |||
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Abstract:it deduces the helicopter rotor blade motion and give the aeroelastic stabile condition. The variables is the offset of hinge pretwist angle, coning angle and element mass of blade. The constrains are the stable parameter and frequencies. The objective function is to minimize the blade mass. Using the Sequential Quadratic Programming(NLPQL)algorithm and reliable optimization. It is the result that the blade mass is increased under the constraints being satisfied and all the design parameter’s reliability is 95%. | |||
TO cite this article:Wang Hongzhou ,Liu Yong,Zhang Chenglin. The helicopter blades aeroelastic stability optimization [OL].[30 June 2009] http://en.paper.edu.cn/en_releasepaper/content/33500 |
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