Simulation Research on Ice-Breaking Dynamics of Civil Aircraft Flap Mechanism Based on Measured Data
Springer Science and Business Media LLC - Trang 1-10 - 2023
Tóm tắt
In the alpine environment, the flap movement of civil aircraft is easily affected by frozen ice. At present, there are few experimental data on the adhesion strength of frozen ice that can be used to simulate the ice-breaking load of civil aircraft flaps, and the temperature points do not meet the actual use scenarios. To study the dynamic change law of the flap motion mechanism when breaking ice under the condition of ground icing, this paper conducts icing adhesion strength tests at different icing temperature points that meet the actual use scene, and calculates the icing resistance moment under different working conditions according to the experimental data. The icing resistance moment under the condition is the simulation load input. By changing the icing width of the seam to simulate different icing conditions, the process of ice-breaking motion of the flap moving mechanism is simulated, and the general process method of the ice-breaking motion simulation of the moving parts of the civil aircraft is formed, which calibrates the ice-breaking load values of aircraft moving parts under various icing conditions. The research results show that the combination of measured data and dynamic simulation can obtain the variation law of driving torque in the ice-breaking motion of moving parts under various icing conditions, as well as the critical conditions of aircraft use. In addition, the validity and engineering practicability of the method in the anti-ice movement of the civil machine are verified.
Tài liệu tham khảo
Fan J, Wang ZS (2012) Design of database system for typical flight accidents of aircraft. J Meas Control Technol 31:121–124. https://doi.org/10.19708/j.ckjs.2012.05.031
Dai R, Huang C (2011) Research on modeling and simulation of aircraft flight accident rate prediction. J Comput Simul 28(7):120–123
Xu GM (2010) Research on accident risk management technology of civil aviation airport running track. J Nanjing Univ Aeronaut Astronaut, pp 3–6
Hang H, Wu JT (2019) Study on typical flight accidents of civil aircraft under extreme climatic conditions. J Sci Technol Innov 15:132–136. https://doi.org/10.15913/j.cnki.kjycx.2019.15.054
Van Heerden ASJ et al (2022) Aircraft thermal management: practices, technology, system architectures, future challenges, and opportunities. Progr Aerosp Sci 128:100767
Sehgal BP, Deters RW, Selig MS (2002) Icing encounter flight simulator. J AIAA 2002–0817. https://doi.org/10.2514/6.2002-817
Isaac GA, Ayers JK, Bailey M et al (2005) First results from the alliance icing research study II. J AIAA 2005–252. https://doi.org/10.2514/6.2005-252
Qiu XG, Han FH (1985) Aircraft anti-icing system. B Aviation Professional Textbook Editing and Reviewing Group, Beijing
Chen WJ, Zhang DL (2005) Numerical simulation of icing process of aircraft wing. J J Aerosp Power 20(6):1010–1017. https://doi.org/10.13224/j.cnki.jasp.2005.06.020
Yi X, Zhu GL (2004) Airfoil icing calculation considering the effect of mass and heat transfer. J Acta Aerodyn Sin 22(4):490–493
Yi X (2007) Numerical calculation of aircraft ice accumulation and similarity criterion of ice accumulation test. J China Aerodyn Res Dev Center 2007:3
Bu XQ, Lin GP (2003) Prediction of water collection coefficient and anti-icing surface temperature based on CFD. J Beijing Univ Aeronaut Astronaut 33(10):1182–1185
Yang Q, Chang SN, Yuan XG (2002) Research on numerical calculation method of water droplet impact characteristics. J Acta Aeronaut et Astronaut Sin 23(2):173–176
Sang WM, Li FW, Shi YY (2005) Icing research on airfoil and multi-element airfoil based on flow field and aerodynamic performance. J Northwest Polytech Univ 23(6):729–732
Ding D, Qian WQ, Wang Q (2022) Aircraft icing identification based on optimized probabilistic neural network. J Acta Aerodyn Sin 40:100–109
Yi X, Wang Q, Chai CC et al (2021) A prediction model of aircraft icing ice shape based on deep neural network. J Trans Nanjing Univ Aeronaut Astronaut 38(04):535–544. https://doi.org/10.16356/j.1005-1120.2021.04.001
Gao HT, Wang NG, Song YC et al (2022) Influence of ambient humidity and metal surface temperature on the ice adhesion strength on metal surface. J Dalian Marit Univ 48(01):104–119
Zhang HB (2016) Experimental study on tensile strength and fracture toughness of yellow river ice by using split test. J Dalian Univ Technol, pp 70–71
Jia Q, Li ZJ, Han HW et al (2015) Experimental study on shear strength of freshwater ice in reservoir. J Math Pract Theory 45(05):132–137
Wang A, Mao DH, Gao ZM et al (2005) Aircraft design manual, 5th edn. B Aviation Industry Press, Beijing
Wang GQ (2002) Virtual prototype technology and its practice in ADAMS. Northwestern Polytechnical University Press, Xi’an
Jing L et al (2016) Research on friction coefficient of self-lubricating bearings. Aviation Standardization and Quality 2:4
Gou WX (2010) Mechanics of materials. I. Science Press
Li WJ (2005) Aircraft general design. Northwestern Polytechnical University Press, Xi’an