The KSFM Journal of Fluid Machinery (한국유체기계학회 논문집)

Korean Society for Fluid machinery (한국유체기계학회)
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Estimation of the Properties for a Charring Material Using the RPSO Algorithm

RPSO 알고리즘을 이용한 탄화 재료의 열분해 물성치 추정

  • 장희철 (중앙대학교 대학원) ;
  • 박원희 (한국철도기술연구원 철도환경 연구실) ;
  • 윤경범 (중앙대학교 대학원) ;
  • 김태국 (중앙대학교 기계공학부)
  • Received : 2010.10.04
  • Accepted : 2011.01.31
  • Published : 2011.02.01
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Abstract

Fire characteristics can be analyzed more realistically by using more accurate properties related to the fire dynamics and one way to acquire these fire properties is to use one of the inverse property estimation techniques. In this study two optimization algorithms which are frequently applied for the inverse heat transfer problems are selected to demonstrate the procedure of obtaining pyrolysis properties of charring material with relatively simple thermal decomposition. Thermal decomposition is occurred at the surface of the charring material heated by receiving the radiative energy from external heat sources and in this process the heat transfer through the charring material is simplified by an unsteady 1-dimensional problem. The basic genetic algorithm(GA) and repulsive particle swarm optimization(RPSO) algorithm are used to find the eight properties of a charring material; thermal conductivity(virgin, char), specific heat(virgin, char), char density, heat of pyrolysis, pre-exponential factor and activation energy by using the surface temperature and mass loss rate history data which are obtained from the calculated experiments. Results show that the RPSO algorithm has better performance in estimating the eight pyrolysis properties than the basic GA for problems considered in this study.

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References

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