The Effects of the Aeration Phenomenon on the Performance of Hydraulic Shock Absorbers

Czop, Piotr; Wszołek, G.; Hetmańczyk, M.

doi:10.1007/978-3-030-68455-6_2

Cited by 1 publication

(2 citation statements)

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“…They showed that this effect influences the compression properties of the gas spring. Schmidt [18] and Czop et al [16] also provided absorption models using Henry's law for the hysteresis effect in the force-velocity plane. Yang et al [19] investigated the mechanics of a hydropneumatic suspension for off-road vehicles, focusing on aspects of the gas solubility, oil flow through the orifice and friction force model.…”

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confidence: 99%

“…He noted that the oil is saturated with nitrogen at about 13 bar to 17.5 bar and only small additional quantities can be absorbed at higher pressures. Czop et al [16] attributed the hysteresis behavior of the forcevelocity relation to the formation of gas bubbles in the liquid, which render the two-phase system compressible. However, the oil-rich phase itself can be considered as incompressible at moderate pressures, while gaseous bubbles are indeed compressible.…”

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confidence: 99%

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Modeling Dynamic Pressure Loss by Absorption in Oleo-Pneumatic Shock Absorbers without Separator

Willich,

Holzapfel,

Vrabec

2024

Preprint

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A model for the dynamic pressure loss in standard oleo-pneumatic shock absorbers without gas-oil separator for avionics applications is introduced. The dynamics of such a device under load variations is primarily determined by the throttle between the oil chamber and the gas chamber. During operation, gas is absorbed by the oil upon compression and desorbed upon expansion, which are processes that extend over time and entail hysteresis. It is found that the assumption of isothermal conditions is sufficient. An excellent alignment is achieved by the model and the measured hysteresis across diverse drop test scenarios, adjusting a single parameter to a value that is physically reasonable. The standard deviation of the error in pressure is σp = 0.49 bar. Moreover, the model rests on thermodynamic considerations and experimental gas solubility data, while it is consistent with other laboratory data from the literature.

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confidence: 99%

Section: List Of Symbolsmentioning

confidence: 99%