Use of a Quasi-Steady Ablation Model for Design Sensitivity With Uncertainty PropagationSource: Journal of Thermal Science and Engineering Applications:;2017:;volume( 009 ):;issue: 001::page 11004DOI: 10.1115/1.4034595Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Sensitivity analysis and design calculations are often best performed using low-order models. This work details work done on adding complementary pieces to a low-order, quasi-steady-state ablation model to facilitate uncertainty propagation. The quasi-steady-state ablation model is a one-dimensional, quasi-steady-state, algebraic ablation model that uses finite-rate surface chemistry and equilibrium pyrolysis-gas-production submodels to predict surface recession rate. The material response model is coupled to a film-transfer boundary layer model to enable the computation of heat and mass transfer from an ablating surface. For comparison to arcjet data, a simple shock heated gas model is coupled. A coupled model consisting of submodels for the shock heated gases, film heat and mass transfer, and material response is exercised against recession rate data for surface and in-depth ablators. Comparisons are made between the quasi-steady-state ablation model and the unsteady ablation code, Chaleur, as well as to other computations for a graphite ablator in arcjet facilities. The simple models are found to compare reasonably well to both the experimental results and the other calculations. Uncertainty propagation using a moment based method is presented. The results of this study are discussed, and conclusions about the utility of the method as well as the properties of the ablation code are drawn.
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| contributor author | Anzalone, R. | |
| contributor author | Barr, B. W. | |
| contributor author | Upadhyay, R. R. | |
| contributor author | Ezekoye, O. A. | |
| date accessioned | 2017-11-25T07:19:22Z | |
| date available | 2017-11-25T07:19:22Z | |
| date copyright | 2016/4/10 | |
| date issued | 2017 | |
| identifier issn | 1948-5085 | |
| identifier other | tsea_009_01_011004.pdf | |
| identifier uri | http://138.201.223.254:8080/yetl1/handle/yetl/4235772 | |
| description abstract | Sensitivity analysis and design calculations are often best performed using low-order models. This work details work done on adding complementary pieces to a low-order, quasi-steady-state ablation model to facilitate uncertainty propagation. The quasi-steady-state ablation model is a one-dimensional, quasi-steady-state, algebraic ablation model that uses finite-rate surface chemistry and equilibrium pyrolysis-gas-production submodels to predict surface recession rate. The material response model is coupled to a film-transfer boundary layer model to enable the computation of heat and mass transfer from an ablating surface. For comparison to arcjet data, a simple shock heated gas model is coupled. A coupled model consisting of submodels for the shock heated gases, film heat and mass transfer, and material response is exercised against recession rate data for surface and in-depth ablators. Comparisons are made between the quasi-steady-state ablation model and the unsteady ablation code, Chaleur, as well as to other computations for a graphite ablator in arcjet facilities. The simple models are found to compare reasonably well to both the experimental results and the other calculations. Uncertainty propagation using a moment based method is presented. The results of this study are discussed, and conclusions about the utility of the method as well as the properties of the ablation code are drawn. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | Use of a Quasi-Steady Ablation Model for Design Sensitivity With Uncertainty Propagation | |
| type | Journal Paper | |
| journal volume | 9 | |
| journal issue | 1 | |
| journal title | Journal of Thermal Science and Engineering Applications | |
| identifier doi | 10.1115/1.4034595 | |
| journal fristpage | 11004 | |
| journal lastpage | 011004-7 | |
| tree | Journal of Thermal Science and Engineering Applications:;2017:;volume( 009 ):;issue: 001 | |
| contenttype | Fulltext |