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Comparison of three computational models for predicting pressurization characteristics of cryogenic tank during discharge
Affiliation:1. School of Energy and Power Engineering, Xi’an Jiaotong University, Xi’an 710049, China;2. State Key Laboratory of Technologies in Space Cryogenic Propellants, Beijing 100028, China;1. Institute of Refrigeration and Cryogenics, Shanghai Jiao Tong University, Shanghai 200240, China;2. State Key Laboratory of Technologies in Space Cryogenic Propellants, Beijing 100028, China;1. College of Aerospace Science and Engineering, National University of Defense Technology, Changsha 410073, Hunan, PR China;2. Department of Energy Sciences, Lund University, Lund 22100, Sweden;1. State Key Laboratory of Technologies in Space Cryogenic Propellants, Beijing 100028, China;2. School of Energy and Power Engineering, Xi’an Jiaotong University, Xi’an 710049, China;3. Beijing Institute of Astronautical System Engineering, Beijing 100076, China;1. School of Energy and Power Engineering, Xi’an Jiaotong University, Xi’an 710049, China;2. State Key Laboratory of Technologies in Space Cryogenic Propellants, Beijing 100028, China;1. DLR, German Aerospace Center, Institute of Space Systems, Robert-Hooke-Strasse 7, 28359 Bremen, Germany;2. ZARM, University of Bremen, Am Fallturm, 28359 Bremen, Germany
Abstract:In order to select an effective approach to predict the pressurization characteristics of cryogenic tank during rocket launching, three computational models, defined as 0-D, 1-D and CFD models, are used to obtain the pressure evolution and thermal performance of a cryogenic tank during pressurized discharge period. Several pressurization cases are computed by all of the three models to evaluate their predictive abilities and effects, respectively. The comparative study shows that for the case with a diffuser-type injector at the tank inlet, the consistent results by the three models are obtained in the most of period, except that 1-D model has a peak departure prediction of pressure value at the beginning of process. All of the three models can be used to predict the pressurization performance, and their predictive abilities could be validated with one another. The CFD model is the unique suitable model to display the pressurization performance including physical distribution in radial direction especially for the system with no-diffuser-type injector. Based on the analysis, the application selection of three models for different cases is accomplished. The 0-D model is the priority selection for a simple pressure prediction of tank ullage, even for the situation that severe temperature distribution exists in the ullage range. The 1-D model is the optimal selection as considering both the convenience and the time consumption for the constant-pressure cases. But it is not recommended in a constant-inlet flux cases for its distinct predicting deviation at the beginning of the process. When the detailed distributions within the tank are concerned, the CFD model is the unique selection. The results of this paper may be beneficial to the model selection and optimization analysis of a pressurization system.
Keywords:Pressurization  Temperature distribution  Propellant tank  Phase change  Heat transfer
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