• Title/Summary/Keyword: MultiPhase Reacting Flow

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Performance Analysis of Liquid Pintle Thruster Using Quasi-one-dimensional Multi-phase Reaction Flow: Part I Key Sub-model Validation (준 일차원 다상 반응유동 기법을 이용한 케로신/과산화수소 액체 핀틀 추력기 성능해석 연구: Part I. 주요 구성 모델 검증)

  • Kang, Jeongseok;Bok, Janghan;Sung, Hong-Gye;Kwon, Minchan;Heo, JunYoung
    • Journal of the Korean Society of Propulsion Engineers
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    • v.24 no.6
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    • pp.69-77
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    • 2020
  • A quasi one-dimensional multi-phase reaction flow analysis code is developed for the performance analysis of liquid pintle thrusters. Unsteady flow field, droplet evaporation, finite reaction and film cooling models are composed as the major models of the performance analysis. The droplet vaporization takes account of Abramzon's vaporization model, and the combustion employs a flamelet model based on detail chemical reactions. Shine's model is applied for the film cooling calculation. To verify each model, the Sod shock tube, single droplet vaporization, kerosene droplets combustion, and film length are evaluated.

Conventional Fluid Dynamics and CFD Modeling for the Systematic Analysis of the Inside Flow of the Fischer-Tropsch Packed Bed Reactor (전통적인 유체역학 방법론과 CFD 결합을 통한 Fischer-Tropsch 고정층 반응기 내부 흐름의 체계적 모델링)

  • Kim, Hyunseung;Cho, Jaehoon;Hong, Gi Hoon;Moon, Dong Ju;Shin, Dongil
    • Journal of the Korean Institute of Gas
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    • v.20 no.4
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    • pp.65-77
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    • 2016
  • Modeling for complex reacting flow in Fischer-Tropsch reactor is one of the challenges in the field of Computational Fluid Dynamics (CFD). It is hard to derive each and every reaction rate for all chemical species because Fisher-Tropsch reaction produces many kinds of hydrocarbons which include lots of isomers. To overcome this problem, after analyzing the existing methodologies for reaction rate modeling, non-Anderson-Schulz-Flory methodology is selected to model the detailed reaction rates. In addition, the inside flow has feature of multi-phase flow, and the methodologies for modeling multi-phase flow depend on the interference between the phases, distribution of the dispersed phase, flow pattern, etc. However, existing studies have used a variety of inside flow modeling methodologies with no basis or rationale for the feasibility. Modeling inside flow based on the experimental observation of the flow would be the best way, however, with limited resources we infer the probable regime of inside flow based on conventional fluid dynamics theory; select the appropriate methodology of Mixture model; and perform systematic CFD modeling. The model presented in this study is validated through comparisons between experimental data and simulation results for 10 experimental conditions.