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METERING PIN DIAMETER OPTIMIZATION OF AN AIRCRAFT LANDING GEAR SHOCK ABSORBER

Yıl 2021, Cilt: 9 Sayı: 2, 37 - 46, 30.08.2021
https://doi.org/10.20290/estubtdb.900786

Öz

One of the most important components of an aircraft is the landing gear. In today`s modern landing gears, mostly oleo-pneumatic shock struts are used. Analytically, landing gear can be modeled as a mass-spring-damper system. The model used in the study included landing gear components such as the oleo-pneumatic shock strut, tire and wheel. Furthermore, a tapered metering pin was added to model in order to control the area of the orifice by which hydraulic oil flows during the act of landing impact force. Landing gear design usually aims to minimize two elements which are vertical acceleration and displacement of aircraft mass. The impact force during landing is indicated by vertical acceleration. Displacement of shock absorber should be minimum to decrease the size, weight and space needed for the landing gear system. An optimization problem was defined to minimize those two parameters within the range of given inputs. For this purpose, a composite objective function was created to include and optimize the two output parameters simultaneously with equal weight. Among many inputs, metering pin hub and tip external diameters were selected as variables for the optimization and other inputs were kept constant. For the optimization study, genetic algorithm method was coupled with the Matlab/Simulink model of the landing gear model. After some iterations, solution was converged to determine the two diameters of the metering pin where the vertical acceleration and displacement of aircraft mass are minimized as an objective. At the end of optimization process, vertical acceleration of aircraft mass was reduced from 2.433 g to 1.7828 g (-36.47%) within the given constraint of 2 g maximum. Displacement of aircraft mass X1 was increased from 0.2982 m to 0.3682 m (+23.47%) which is in an acceptable limit of 0.4 m.

Destekleyen Kurum

American University of the Middle East, Kuwait

Kaynakça

  • Conway HG. Landing Gear Design. Chapman & Hall; The Aeronautical Journal, 1958;62:569,pp.390.
  • [2] Currey NS. Aircraft Landing Gear Design: Principles and Practices . Washington DC: American Institute of Aeronautics and Astronautics; 1988.
  • [3] Wahi MK. Oleopneumatic shock strut dynamic analysis and its real-time simulation. J Aircr 1976;13(4):303–8.
  • [4] Furnish JF, Anders DE. Analytical simulation of landing gear dynamics for aircraft design and analysis. SAE Tech Pap 1971;0–8.
  • [5] McBrearty JF. A Critical Study of Aircraft Landing Gears. J Aeronaut Sci 1948; May;15(5):263–80.
  • [6] Yadav D, Ramamoorthy RP. Nonlinear landing gear behavior at Touchdown. J Dyn Syst Meas Control Trans ASME 1991;113(4):677–83.
  • [7] Krüger WR, Morandini M. Recent developments at the numerical simulation of landing gear dynamics. CEAS Aeronaut J 2011;1(1–4):55–68.
  • [8] Dinc A, Gharbia Y. Effects of Spring and Damper Elements in Aircraft Landing Gear Dynamics. Int J Recent Technol Eng 2020; Jan 30;8(5):4265–9.
  • [9] Paletta N, Belardo M, Di Palma L. An automatic procedure for the landing gear conceptual design of a light unmanned aircraft. SAE Tech Pap 2013;7.
  • [10] Nuti A, Bertini F, Cipolla V, Di Rito G. Design of a Fuselage-Mounted Main Landing Gear of a Medium-Size Civil Transport Aircraft. Aerotec Missili Spaz 2018;97(2):85–95.
  • [11] Chester DH. Aircraft landing impact parametric study with emphasis on nose gear landing conditions. J Aircr 2002;39(3):394–403.
  • [12] Shi F. Multi-objective Optimization of Passive Shock Absorber for Landing Gear. Am J Mech Eng 2019;7(2):79–86.
  • [13] Shi F, Isaac Anak Dean W, Suyama T. Single-objective Optimization of Passive Shock Absorber for Landing Gear. Am J Mech Eng 2019;7(3):107–15.
  • [14] Asthana CB, Bhat RB. A novel design of landing gear oleo strut damper using MR fluid for aircraft and UAV’s. Appl Mech Mater 2012;225:275–80.
  • [15] Liu XC, Zhu SX, Yang YG. Design and Drop Test of Aircraft Landing Gear’s Shock Absorber Based on Magnetorheological Damper. Appl Mech Mater 2014; Oct;665:601–6.
  • [16] Heininen A, Aaltonen J, Koskinen KT, Huitula J. Equations of State in Fighter Aircraft Oleo-pneumatic Shock Absorber Modelling 2019; p. 64–70.
  • [17] Zhu Z, Feng Y, Pan W. The Improved Model for Landing Gear Dynamic Analysis Based on Thermodynamics. In: Proceedings of the 2018 International Conference on Service Robotics Technologies-ICSRT ’18 New York, USA: ACM Press; 2018; p. 16–21.
  • [18] Karam W, Mare JC. Advanced model development and validation of landing gear shock struts. Proc Inst Mech Eng Part G J Aerosp Eng 2010;224(5):575–86.
  • [19] Bharath M, Singh P, Kantheti B. Determination of Influence of Parameters on Undercarriage Shock Absorber. SAE Int J Aerosp 2018;11(2):85–114.
  • [20] Flugge W. Landing Gear Impact, NACA TN 2743. 1952.
  • [21] Baklacioglu T, Turan O, Aydin H. Dynamic modeling of exergy efficiency of turboprop engine components using hybrid genetic algorithm-artificial neural networks. Energy 2015;86:709–21.
  • [22] Baklacioglu T, Turan O, Aydin H. Metaheuristic approach for an artificial neural network: Exergetic sustainability and environmental effect of a business aircraft. Transp Res Part D Transp Environ 2018;63:445–65.
  • [23] Kaba A, Aygun H, Turan O. Multi-dimensional energetic performance modeling of an aircraft engine with the aid of enhanced least–squares estimation based genetic algorithm method. J Therm Anal Calorim, 2021. 2021 Jun 26 [cited 2021 Jul 7];1–23. Available from: https://link.springer.com/article/10.1007/s10973-021-10922-z
  • [24] Dinc A. Optimization of turboprop ESFC and NOx emissions for UAV sizing. Aircr Eng Aerosp Technol 2017;89(3):375–83.
  • [25] Dinc A, Elbadawy I. Global warming potential optimization of a turbofan powered unmanned aerial vehicle during surveillance mission. Transp Res Part D Transp Environ 2020; Aug 1;85.
  • [26] Dinc A, Otkur M. Optimization of Electric Vehicle Battery Size and Reduction Ratio Using Genetic Algorithm. In: 2020 11th International Conference on Mechanical and Aerospace Engineering (ICMAE); IEEE 2020; p. 281–5.
  • [27] Kramer O. Genetic Algorithm Essentials . Springer International Publishing AG. Cham: Springer International Publishing; (Studies in Computational Intelligence; vol. 679), 2017; p. 11–20.

METERING PIN DIAMETER OPTIMIZATION OF AN AIRCRAFT LANDING GEAR SHOCK ABSORBER

Yıl 2021, Cilt: 9 Sayı: 2, 37 - 46, 30.08.2021
https://doi.org/10.20290/estubtdb.900786

Öz

One of the most important components of an aircraft is the landing gear. In today`s modern landing gears, mostly oleo-pneumatic shock struts are used. Analytically, landing gear can be modeled as a mass-spring-damper system. The model used in the study included landing gear components such as the oleo-pneumatic shock strut, tire and wheel. Furthermore, a tapered metering pin was added to model in order to control the area of the orifice by which hydraulic oil flows during the act of landing impact force. Landing gear design usually aims to minimize two elements which are vertical acceleration and displacement of aircraft mass. The impact force during landing is indicated by vertical acceleration. Displacement of shock absorber should be minimum to decrease the size, weight and space needed for the landing gear system. An optimization problem was defined to minimize those two parameters within the range of given inputs. For this purpose, a composite objective function was created to include and optimize the two output parameters simultaneously with equal weight. Among many inputs, metering pin hub and tip external diameters were selected as variables for the optimization and other inputs were kept constant. For the optimization study, genetic algorithm method was coupled with the Matlab/Simulink model of the landing gear model. After some iterations, solution was converged to determine the two diameters of the metering pin where the vertical acceleration and displacement of aircraft mass are minimized as an objective. At the end of optimization process, vertical acceleration of aircraft mass was reduced from 2.433 g to 1.7828 g (-36.47%) within the given constraint of 2 g maximum. Displacement of aircraft mass X1 was increased from 0.2982 m to 0.3682 m (+23.47%) which is in an acceptable limit of 0.4 m.

Kaynakça

  • Conway HG. Landing Gear Design. Chapman & Hall; The Aeronautical Journal, 1958;62:569,pp.390.
  • [2] Currey NS. Aircraft Landing Gear Design: Principles and Practices . Washington DC: American Institute of Aeronautics and Astronautics; 1988.
  • [3] Wahi MK. Oleopneumatic shock strut dynamic analysis and its real-time simulation. J Aircr 1976;13(4):303–8.
  • [4] Furnish JF, Anders DE. Analytical simulation of landing gear dynamics for aircraft design and analysis. SAE Tech Pap 1971;0–8.
  • [5] McBrearty JF. A Critical Study of Aircraft Landing Gears. J Aeronaut Sci 1948; May;15(5):263–80.
  • [6] Yadav D, Ramamoorthy RP. Nonlinear landing gear behavior at Touchdown. J Dyn Syst Meas Control Trans ASME 1991;113(4):677–83.
  • [7] Krüger WR, Morandini M. Recent developments at the numerical simulation of landing gear dynamics. CEAS Aeronaut J 2011;1(1–4):55–68.
  • [8] Dinc A, Gharbia Y. Effects of Spring and Damper Elements in Aircraft Landing Gear Dynamics. Int J Recent Technol Eng 2020; Jan 30;8(5):4265–9.
  • [9] Paletta N, Belardo M, Di Palma L. An automatic procedure for the landing gear conceptual design of a light unmanned aircraft. SAE Tech Pap 2013;7.
  • [10] Nuti A, Bertini F, Cipolla V, Di Rito G. Design of a Fuselage-Mounted Main Landing Gear of a Medium-Size Civil Transport Aircraft. Aerotec Missili Spaz 2018;97(2):85–95.
  • [11] Chester DH. Aircraft landing impact parametric study with emphasis on nose gear landing conditions. J Aircr 2002;39(3):394–403.
  • [12] Shi F. Multi-objective Optimization of Passive Shock Absorber for Landing Gear. Am J Mech Eng 2019;7(2):79–86.
  • [13] Shi F, Isaac Anak Dean W, Suyama T. Single-objective Optimization of Passive Shock Absorber for Landing Gear. Am J Mech Eng 2019;7(3):107–15.
  • [14] Asthana CB, Bhat RB. A novel design of landing gear oleo strut damper using MR fluid for aircraft and UAV’s. Appl Mech Mater 2012;225:275–80.
  • [15] Liu XC, Zhu SX, Yang YG. Design and Drop Test of Aircraft Landing Gear’s Shock Absorber Based on Magnetorheological Damper. Appl Mech Mater 2014; Oct;665:601–6.
  • [16] Heininen A, Aaltonen J, Koskinen KT, Huitula J. Equations of State in Fighter Aircraft Oleo-pneumatic Shock Absorber Modelling 2019; p. 64–70.
  • [17] Zhu Z, Feng Y, Pan W. The Improved Model for Landing Gear Dynamic Analysis Based on Thermodynamics. In: Proceedings of the 2018 International Conference on Service Robotics Technologies-ICSRT ’18 New York, USA: ACM Press; 2018; p. 16–21.
  • [18] Karam W, Mare JC. Advanced model development and validation of landing gear shock struts. Proc Inst Mech Eng Part G J Aerosp Eng 2010;224(5):575–86.
  • [19] Bharath M, Singh P, Kantheti B. Determination of Influence of Parameters on Undercarriage Shock Absorber. SAE Int J Aerosp 2018;11(2):85–114.
  • [20] Flugge W. Landing Gear Impact, NACA TN 2743. 1952.
  • [21] Baklacioglu T, Turan O, Aydin H. Dynamic modeling of exergy efficiency of turboprop engine components using hybrid genetic algorithm-artificial neural networks. Energy 2015;86:709–21.
  • [22] Baklacioglu T, Turan O, Aydin H. Metaheuristic approach for an artificial neural network: Exergetic sustainability and environmental effect of a business aircraft. Transp Res Part D Transp Environ 2018;63:445–65.
  • [23] Kaba A, Aygun H, Turan O. Multi-dimensional energetic performance modeling of an aircraft engine with the aid of enhanced least–squares estimation based genetic algorithm method. J Therm Anal Calorim, 2021. 2021 Jun 26 [cited 2021 Jul 7];1–23. Available from: https://link.springer.com/article/10.1007/s10973-021-10922-z
  • [24] Dinc A. Optimization of turboprop ESFC and NOx emissions for UAV sizing. Aircr Eng Aerosp Technol 2017;89(3):375–83.
  • [25] Dinc A, Elbadawy I. Global warming potential optimization of a turbofan powered unmanned aerial vehicle during surveillance mission. Transp Res Part D Transp Environ 2020; Aug 1;85.
  • [26] Dinc A, Otkur M. Optimization of Electric Vehicle Battery Size and Reduction Ratio Using Genetic Algorithm. In: 2020 11th International Conference on Mechanical and Aerospace Engineering (ICMAE); IEEE 2020; p. 281–5.
  • [27] Kramer O. Genetic Algorithm Essentials . Springer International Publishing AG. Cham: Springer International Publishing; (Studies in Computational Intelligence; vol. 679), 2017; p. 11–20.
Toplam 27 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Mühendislik
Bölüm Makaleler
Yazarlar

Ali Dinç 0000-0002-3165-3421

Yayımlanma Tarihi 30 Ağustos 2021
Yayımlandığı Sayı Yıl 2021 Cilt: 9 Sayı: 2

Kaynak Göster

APA Dinç, A. (2021). METERING PIN DIAMETER OPTIMIZATION OF AN AIRCRAFT LANDING GEAR SHOCK ABSORBER. Eskişehir Teknik Üniversitesi Bilim Ve Teknoloji Dergisi B - Teorik Bilimler, 9(2), 37-46. https://doi.org/10.20290/estubtdb.900786
AMA Dinç A. METERING PIN DIAMETER OPTIMIZATION OF AN AIRCRAFT LANDING GEAR SHOCK ABSORBER. Eskişehir Teknik Üniversitesi Bilim ve Teknoloji Dergisi B - Teorik Bilimler. Ağustos 2021;9(2):37-46. doi:10.20290/estubtdb.900786
Chicago Dinç, Ali. “METERING PIN DIAMETER OPTIMIZATION OF AN AIRCRAFT LANDING GEAR SHOCK ABSORBER”. Eskişehir Teknik Üniversitesi Bilim Ve Teknoloji Dergisi B - Teorik Bilimler 9, sy. 2 (Ağustos 2021): 37-46. https://doi.org/10.20290/estubtdb.900786.
EndNote Dinç A (01 Ağustos 2021) METERING PIN DIAMETER OPTIMIZATION OF AN AIRCRAFT LANDING GEAR SHOCK ABSORBER. Eskişehir Teknik Üniversitesi Bilim ve Teknoloji Dergisi B - Teorik Bilimler 9 2 37–46.
IEEE A. Dinç, “METERING PIN DIAMETER OPTIMIZATION OF AN AIRCRAFT LANDING GEAR SHOCK ABSORBER”, Eskişehir Teknik Üniversitesi Bilim ve Teknoloji Dergisi B - Teorik Bilimler, c. 9, sy. 2, ss. 37–46, 2021, doi: 10.20290/estubtdb.900786.
ISNAD Dinç, Ali. “METERING PIN DIAMETER OPTIMIZATION OF AN AIRCRAFT LANDING GEAR SHOCK ABSORBER”. Eskişehir Teknik Üniversitesi Bilim ve Teknoloji Dergisi B - Teorik Bilimler 9/2 (Ağustos 2021), 37-46. https://doi.org/10.20290/estubtdb.900786.
JAMA Dinç A. METERING PIN DIAMETER OPTIMIZATION OF AN AIRCRAFT LANDING GEAR SHOCK ABSORBER. Eskişehir Teknik Üniversitesi Bilim ve Teknoloji Dergisi B - Teorik Bilimler. 2021;9:37–46.
MLA Dinç, Ali. “METERING PIN DIAMETER OPTIMIZATION OF AN AIRCRAFT LANDING GEAR SHOCK ABSORBER”. Eskişehir Teknik Üniversitesi Bilim Ve Teknoloji Dergisi B - Teorik Bilimler, c. 9, sy. 2, 2021, ss. 37-46, doi:10.20290/estubtdb.900786.
Vancouver Dinç A. METERING PIN DIAMETER OPTIMIZATION OF AN AIRCRAFT LANDING GEAR SHOCK ABSORBER. Eskişehir Teknik Üniversitesi Bilim ve Teknoloji Dergisi B - Teorik Bilimler. 2021;9(2):37-46.