Abstract :
NASA has officially announced retirement of space shuttle in 2010. The requirement for a claim download capacity from the ISS for Europe turns out to be increasingly more significant in request not to free the attractively of the ISS as research office. Soyuz doesn’t have a capability to collect samples and freights from ISS. European Space Agency decided to probe complementary analysis for attaining freights and process from ISS. One among them, PARES is the one which gives an incessant download capacity for little and medium estimated tests and hardware from ISS in the time outline 2008 to 2016. It’s also having an ability to avoid debris and withstanding the loads attained by debris collision. But, the major problem is during re-emergence the capsule pertain uncertain flow characteristics and heat will also extravagated around the vehicle. The primary objective of this paper is to study and analysis of the new re-entry vehicle i.e PARES (Payload Retrieval System) and their flow characteristics with the effect of various turbulence models over PARES (Payload Retrieval System) individually. For the purpose of analysis we are using a tool known as Computational Fluid Dynamics. Analysis is carried out for Earth entry conditions at an angle of attack 0°, 15° and 30°. The mach number here we are choosing for pares is 9, 10 and 25. The flow field around PARES entry capsule is computed hypersonic speeds using commercial CFD software FLUENT for ideal gas model. Both viscous and turbulent (Spallart Allmaras, standard K-?, Standard K-transitional KKL and Transitional SST) flow models are considered for standard flow properties. The main intention is to capturing the shock wave and properties behind the shock wave accurately by using laminar and different turbulence modelsi.e., Reynolds averaged naviers stokes equation, large eddy simulation, detached eddy simulation, direct numerical simulation, Spallart-Allmaras, k-epsilon, k-omega etc
Keyword :
Hypersonics, Payload Retrieval System, Computational Fluid Dynamics, Turbulence Models