Transactions of the Korean Society of Mechanical Engineers B (대한기계학회논문집B)

The Korean Society of Mechanical Engineers (대한기계학회)
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A Study on a Hybrid Genetic Algorithm for the Analysis of Inverse Radiation

역복사 해석을 위한 혼합형 유전 알고리듬에 관한 연구

  • 김기완 (한국과학기술원 대학원 항공우주공학전공) ;
  • 백승욱 (KAIST 항공우주공학전공) ;
  • 김만영 (현대자동차 승용디젤엔진시험팀) ;
  • 유홍선 (중앙대학교 기계공학과)
  • Published : 2003.10.01
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Abstract

An inverse radiation analysis is presented for the estimation of the boundary emissivities for an absorbing, emitting, and scattering media with diffusely emitting and reflecting opaque boundaries. The finite-volume method is employed to solve the radiative transfer equation for a two-dimensional irregular geometry. A hybrid genetic algorithm is proposed for improving the efficiency of the genetic algorithm and reducing the effects of genetic parameters on the performance of the genetic algorithm. After verifying the performance of the proposed hybrid genetic algorithm, it is applied to inverse radiation analysis in estimating the wall emissivities in a two-dimensional irregular medium when the measured temperatures are given at only four data positions. The effect of measurement errors on the estimation accuracy is examined.

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References

  1. Kang, D. H., Kwag, D. S., Kim, W. S., and Lee. Y. K., 2003, ' A Study on the Estimation of One-dimensional Heat Fluxes on the Slab in Reheating Furnace by Using Inverse Analysis,' Trans. KSME(B), Vol. 27, No. 1, pp. 61-68
  2. Franca, F. R., Howell, J. R., Ezekoye, O. A., and Morales, J. C., 2002, 'Inverse Design of Thermal Systems,' Advances in Heat Transfer, Elsevier, Vol. 36, pp. 1-110
  3. Li, H. Y. and Ozisik, M. N., 1993, 'Inverse Radiation Problem for Simultaneous Estimation of Temperature Profile and Surface Reflectivity,' J. Thermophys. Heat Transfer, Vol. 7, No. 1, pp. 88-93 https://doi.org/10.2514/3.11574
  4. Li, H. Y. and Yang, C. Y., 1997, 'A Genetic Algorithm for Inverse Radiation Problems,' Int. J. Heat Mass Transfer, Vol. 40, No. 7, pp. 1545-1549 https://doi.org/10.1016/S0017-9310(96)00233-5
  5. Ou, N. R. and Wu, C. H., 2002, 'Simultaneous Estimation of Extinction Coefficient Distribution, Scattering Albedo and Phase Function of a Two-Dimensional Medium,' Int. J. Heat Mass Transfer, Vol. 45, pp. 4663-4674 https://doi.org/10.1016/S0017-9310(02)00168-0
  6. Kim, W. S. and Kwag, D. S., 1999, 'A Study on the Estimation of Scattering Coefficient in the Spheres Using an Inverse Analysis,' Trans. KSME(B), Vol. 23, No. 3, pp. 364-373
  7. Erturk, H., Ezekoye, O. A., and Howell, J. R., 2002, 'The Application of an Inverse Formulation in the Design of Boundary Conditions for Transient Radiating Enclosures,' J. Heat Transfer, Vol. 124, pp. 1095-1102 https://doi.org/10.1115/1.1513574
  8. Carroll, D. L., 1996, 'Chemical Laser Modeling with Genetic Algorithms,' AIAA J., Vol. 34, No. 2, pp. 338-346 https://doi.org/10.2514/3.13069
  9. Park, T. Y. and Froment, G. F., 1998, 'A Hybrid Genetic Algorithm for the Estimation of Parameters in Detailed Kinetic Models,' Computer Chem. Engng., Vol. 22, pp. S103-S110 https://doi.org/10.1016/S0098-1354(98)00043-X
  10. Giacobbo, F., Marseguerra, M., and Zio, E., 2002, 'Solving the Inverse Problem of Parameter Estimation by Genetic Algorithms:the Case of a Groundwater Contaminant Transport Model,' Annuals of Nuclear Energy, Vol. 29, pp. 967-981 https://doi.org/10.1016/S0306-4549(01)00084-6
  11. Kang, S. J., Kim, K. W., Ryu, K. W., and Song, K. J., 2002, 'A Study on the Wind Turbine Blade Optimization and Pitch Control using the Hybrid Genetic Algorithm,' J. KSAS, Vol. 30, No. 6, pp. 7-13
  12. Moon, B. R., 2001, Genetic Algorithms, Dasung, Korea, pp. 101-103
  13. Kim, M. Y. and Baek, S. W., 1996, 'Prediction of Radiative Heat Transfer in a Three-Dimensional Gas Turbine Combustor with the Finite-Volume Method,' Trans. KSME(B), Vol. 20, No. 8, pp. 2681-2692
  14. Anthony, J. H., 2002, Probability and Statistics for Engineers and Scientists, Duxbury, USA, pp. 407-408

Cited by

  1. in Diffusion-Controlled Turbulent Combustion Using Inverse Analysis vol.34, pp.7, 2010, https://doi.org/10.3795/KSME-B.2010.34.7.679