Pressure dither in venting analyses

Fay, John F.; Hengel, John E.

doi:10.2514/6.1993-3014

Cited by 2 publications

(1 citation statement)

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“…Fay and Hengel [10] have analysed the¯ow through the vent connecting the compartment using a onedimensional, quasi-steady and isentropic¯ow equation with an empirical discharge coef®cient. An analysis [11] of the¯ight data of the space shuttle showed that the differences between the pre¯ight prediction and measured values were primarily due to differences between the baseline external pressures, which are based on subscale wind-tunnel test data, and the actual vehicle local external pressure measured during the¯ight.…”

Section: Introductionmentioning

confidence: 99%

Inverse venting problem for estimation of the discharge coefficient in a satellite launch vehicle

Mehta¹

2003

Proceedings of the Institution of Mechanical Engineers, Part G:

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The pressure variation inside the heat shield of a satellite launch vehicle during ascent flight through the atmosphere induces structure load. If the depressurization of air is not rapid or appropriate, excessive pressure loading can cause structural failure of the heat shield or malfunctioning of the electronic devices of the satellite. The pressure inside the heat shield compartment is generally computed numerically by solving a compressible and isentropic flow equation using knowledge of the discharge coefficient as a function of Mach number. The pressure difference between the inside and outside of the compartment is then evaluated using the atmospheric pressure as a function of the altitude. In this paper, an inverse venting problem for estimation of the discharge coefficient is presented using measured internal pressure inside a compartment during the ascent flight of a satellite launch vehicle. The discharge coefficients are estimated using the Newton-Raphson method and a direct-search procedure utilizing pseudo-random numbers. It is found that the estimated discharge coefficient is dependent on the flight Mach number of the vehicle.

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Section: Introductionmentioning

confidence: 99%