Multi-physics based Simulations of an Oleo-pneumatic Shock Absorber System for PHM
The paper presents multi-physics (Mechanical, Thermal, Hydraulic, and Pneumatic) based modelling and simulation of an Oleo-pneumatic shock absorber with fault capabilities. The fault simulated in this model is leakage due to eccentricity. The one-dimensional shock absorber system models to give loads at different sink velocities. These load values, used in the structural model to do static stress analysis. By using these loads directly from the system model eliminates the error in load computation from the load’s group, thereby eliminating the time and cost involved in this activity. The models and static stress analyses carried out with both 1-D and 3-D elements. The 3-D landing gear model meshed with using both auto and manual mesh generation options. The consequences of both 1-D and 3-D models mesh generation, discussed in this paper. The static stress analysis, compared with the experimental results and it is found that the results are within 5% deviation. Based on the static stress and fatigue analysis computed the life of a landing gear.
Landing Gear, Shock absorber, Sink velocity, Healthy model, Fault model, Experimental verification
Cai-Jun X, Yu H, Wen-Gang Q, and Jian-Hua D, (2012) Landing-Gear Drop-Test Rig Development and Application for Light Airplanes, Journal of Aircraft, Vol. 49, No. 6, November-December 2012, DOI: 10.2514/1.C031913
Edward B, Abhinav S, Sriram N, Indranil R, and Kai G, (2011) Experimental Validation of a Prognostic Health Management System for Electro-Mechanical Actuators, Infotech@Aerospace, 29-31 March 2011, AIAA 2011-1518.
Eker O F, Camci F, and Jennions I K (2012) Major Challenges in Prognostics: Study on Benchmarking Prognostics Datasets, European Conference of Prognostics and Health Management Society 2012.
Federal Aviation Regulations (FAR) part 25, Airworthiness Standards Transport Category Airplanes, May 2009 Edition.
Guoming Ji, Liang Zhang, and Meng Dong (2011) Dynamic Simulation on retraction\extension system of an aircraft, Xi’an China, 978-1-4577-0536-6/11, 2011 IEEE, 3939-3944.
James N Daniels, (1996) A Method for Landing Gear Modeling and Simulation with Experimental validation, NASA Contractor Report 201601, June 1996.
Kai Goebel, George Vachtsevanos and Marcos E. Orchard, in Chapter 4: Prognostics of Integrated Vehicle Health Management the Technology, 2013 SAE international http://books.sae.org ISBN 978-0-7680-7952-4, edited by Ian K. Jennions.
Krishna Lok S and Abdul Waheed A (2014), Stress and Fatigue Damage Computation of a Nose Landing Gear, Int. J. Fracture & Damage Mechanics 1-10, Journal Pub, vol. 2 Issue 1.
Krishna Lok Singh, Pulak Chakrabarti, Satish Chandra, Report on Computation of NLG and MLG Landing Loads, NCAD/DQ-04/0005/2012, 21March 2012.
Lee J, Fangji Wu, Wenyu Zhao, Masoud Ghaffari, Linxia Liao, David Siegel (2013), Prognostics and Health Management Design for Rotary Machinery Systems — Reviews, Methodology and Applications, Mech. Syst. Signal Process. http://dx.doi.org/10.1016/j. ymssp.2013.06.004.
Mary S R, Tolga K, Karen M L, Jeffrey L B, Colleen A W (2010), Assessment of the State of the Art of Integrated Vehicle Health Management Technologies as Applicable to Damage Conditions, National Aeronautics and Space Administration (NASA), Glenn Research Center, Cleveland, Ohio 44135, NASA/TM-2010-216911
Milwitzky B, and Cook F E, (1952) Analysis of Landing-gear Behavior, NACA TN 2755, Washington D C.
Prashant Dilip Khapane, (2006) Simulation of Landing Gear Dynamics and Brake-Gear Interaction, Dissertation, 1-125, DLR-German Aerospace Center.
Wlamir O. L. Vianna, Joao Pedro P. Malere, (2014) Aircraft Hydraulic System Leakage Detection and Servicing Recomendedations Method, Annual Conference of the Prognostics and Health Management Society.