Design of a New Magnetorheological Damper Based on Passive Oleo-Pneumatic Landing Gear

Han, Chulhee; Kim, Bo-Gyu; Choi, Seung‐Bok

doi:10.2514/1.c034996

Cited by 33 publications

(27 citation statements)

References 23 publications

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“…The basic design and concept of the MR damper used in this study were described in previous works [19][20][21]. This paper gives a brief summary of the design and concept.…”

Section: Landing Gear Systemmentioning

confidence: 99%

“…All of the landing gear parameter values, which are used in this paper, are given in Table 1. All parameters are referenced from [19][20][21].…”

Section: Landing Gear Systemmentioning

confidence: 99%

“…Accordingly, the process starts from the initial contact with the ground to the final equilibrium state. The key performance metric of the landing gear is the energy absorption ability of the damper through the entire period of impact absorption, which is called the total energy absorber efficiency η [19,[21][22][23]. This value is described as the ratio between the total amount of energy absorbed and the product of the maximum force value F max and the maximum stroke reached s max , which is given by: Figure 2 shows a shock absorber's load-stroke curve of a typical landing gear system.…”

Section: Control Targetmentioning

confidence: 99%

See 2 more Smart Citations

Intelligent Control Based on a Neural Network for Aircraft Landing Gear with a Magnetorheological Damper in Different Landing Scenarios

2020

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A typical oleo-pneumatic shock-absorbing strut (classic traditional passive damper) in aircraft landing gear has a metering pin extending through the orifice, which can vary the orifice area with the compression and extension of the damper strut. Because the metering pin is designed in a single landing condition, the traditional passive damper cannot adjust its damping force in multiple landing conditions. Magnetorheological (MR) dampers have been receiving significant attention as an alternative to traditional passive dampers. An MR damper, which is a typical semi-active suspension system, can control the damping force created by MR fluid under the magnetic field. Thus, it can be controlled by electric current. This paper adopts a neural network controller trained by two different methods, which are genetic algorithm and policy gradient estimation, for aircraft landing gear with an MR damper that considers different landing scenarios. The controller learns from a large number of trials, and accordingly, the main advantage is that it runs autonomously without requiring system knowledge. Moreover, comparative numerical simulations are executed with a passive damper and adaptive hybrid controller under various aircraft masses and sink speeds for verifying the effectiveness of the proposed controller. The main simulation results show that the proposed controller exhibits comparable performance to the adaptive hybrid controller without any needs for the online estimation of landing conditions.

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“…The basic design and concept of the MR damper used in this study were described in previous works [19][20][21]. This paper gives a brief summary of the design and concept.…”

Section: Landing Gear Systemmentioning

confidence: 99%

“…All of the landing gear parameter values, which are used in this paper, are given in Table 1. All parameters are referenced from [19][20][21].…”

Section: Landing Gear Systemmentioning

confidence: 99%

Section: Control Targetmentioning

confidence: 99%

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Intelligent Control Based on a Neural Network for Aircraft Landing Gear with a Magnetorheological Damper in Different Landing Scenarios

2020

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“…The difference between the primary and secondary waveforms is the initial conditions. From Equation (16) with T = π/ω 3 , the initial conditions of the secondary waveform can be expressed as follows:…”

Section: Dynamic Modeling Of Dual Shock Waveform: Secondary Shock Wavmentioning

confidence: 99%

“…Owing to the properties of MR fluids, MR dampers have inherent advantages such as fast response time and continuously controllable damping force. MR dampers are used in application devices, including semi-active controllable devices, such as shock absorbers for vehicle suspension systems [9][10][11][12][13][14], landing gears [15,16], and seismic dampers [17,18]. At present, shock wave profile generators based on MR dampers are actively researched.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Analysis of Sphere-Like Iron Particles Based Magnetorheological Damper for Waveform-Generating Test System

Shul

Kim

et al. 2020

IJMS

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In this study, a new double pulse waveform-generating test system with an integrated magnetorheological (MR) damper is proposed. Since the total shear stress of MR fluid can be varied according to the shape of particles, sphere-like iron particles-based MR fluid is filled into the MR damper. The test system consists of a velocity generator, three masses (impact, test, and dummy), a spring, and an MR damper. To tune the double pulse waveform profile, a damping force model is constructed to determine the fundamental parameters of the simulator. Then, the first and second shock waveform profiles are analyzed to solve the governing equation of motions representing the damping force and velocity. The mathematical model of the MR damper is formulated and applied to a simulator with a graphical user interface programmed using MATLAB. The effectiveness of the proposed simulator-featuring controllable MR damper is demonstrated by comparing the simulation and experimental results.

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Dynamics Responses of Graphene Nanoplatelets‐Reinforced Polydimethylsiloxane Nanocomposites: A Molecular Dynamics Study

Li,

Zhang

et al. 2023

Macro Theory & Simulations

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Molecular dynamics method is employed to characterize the mechanical properties of polydimethylsiloxane (PDMS) materials reinforced by graphene nanoplatelets (GNPs). Modeling results demonstrate that the addition of GNPs to PDMS significantly improves the damping properties of PDMS at high temperatures. The underlying physical mechanism is further investigated, and it is found that the interfacial interactions between the GNPs and PDMS play a crucial role in the energy dissipation capabilities. At elevated temperatures, a decrease in the interaction energy between the GNPs and PDMS matrix is observed, increasing the interfacial shipment, and improving the energy dissipation. In addition, GNPs will reflect more impact energy at a higher temperature. This study provides valuable insights into the use of GNPs for the improvement of the damping performance of PDMS materials at high temperatures.

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Design of a New Magnetorheological Damper Based on Passive Oleo-Pneumatic Landing Gear

Cited by 33 publications

References 23 publications

Intelligent Control Based on a Neural Network for Aircraft Landing Gear with a Magnetorheological Damper in Different Landing Scenarios

Intelligent Control Based on a Neural Network for Aircraft Landing Gear with a Magnetorheological Damper in Different Landing Scenarios

Dynamic Analysis of Sphere-Like Iron Particles Based Magnetorheological Damper for Waveform-Generating Test System

Dynamics Responses of Graphene Nanoplatelets‐Reinforced Polydimethylsiloxane Nanocomposites: A Molecular Dynamics Study

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