A computational study of spherical diffusion flames in microgravity with gas radiation Part I: Model development and validation |
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| Authors: | Songtao Tang Melissa K. Chernovsky Hong G. Im Arvind Atreya |
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| Affiliation: | 1. Department of Mechanical Engineering, Khalifa University of Science, Technology and Research, Abu Dhabi 127788, United Arab Emirates;2. Clean Combustion Research Center (CCRC), King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia;3. Combustion Research Facility, Sandia National Laboratories, Livermore, CA 94551, United States;4. Aerospace and Mechanical Engineering Department, University of Notre Dame, Notre Dame, IN, United States;5. Mechanical and Aerospace Engineering Department, Sapienza University, Rome 00184, Italy;1. Department of Mechanical Engineering, National University of Singapore, 9 Engineering Drive 1, Singapore 117576, Singapore;2. Center for Combustion Energy, Tsinghua University, Beijing, China;3. Institute for Aero Engine, Tsinghua University, Beijing, China |
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| Abstract: | The overarching goal of this study is to improve our understanding of the extinction characteristics of spherical diffusion flames in microgravity. In particular, one of the key objectives is to assess the effects of gas radiation as a means to promote flame extinction. To investigate these phenomena, a one-dimensional computational model was developed to simulate the evolution of a spherical diffusion flame with consideration of detailed chemistry and transport properties. The model formulation was described along with the detailed numerical method. Radiation model was discussed with two aspects: radiation property model and radiative transfer model. Various levels of radiation models were implemented and the results were compared with experimental measurements of flame radius and temperature profiles. It was shown that the statistical narrow band model (SNB) combined with the discrete ordinate method (DOM) reproduced the experimental results with highest accuracy, and this combination of the radiation models were adopted in the subsequent parametric studies in Part II. Computational issues to optimize numerical accuracy and efficiency are also discussed. |
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