Multidimensional inverse-radiation heat-transfer analysis using Monte Carlo methods
Thesis/Dissertation
·
OSTI ID:5726022
Use of Monte Carlo methods for recovering temperature distributions in multidimensional geometries from spectral emission data is investigated. The Monte Carlo global-optimization methods are used to obtain the temperature distribution. The governing equation of the emerging radiation is solved by a Monte Carlo simulation. The technique is verified using calculated and experimental emission data for one-dimensional and multidimensional problems by comparing recovered temperature distributions with predicted ones. A physical model is formulated for a three-dimensional geometry containing absorbing, emitting, and scattering medium and having opaque or transparent boundaries. The Monte Carlo simulation consists of tracing all spectral energy bundles emitted from the physical system for an assumed temperature distribution. The Monte Carlo optimization method is used to vary the assumed temperature distribution which is expressed in a form of Legendre polynomials in order that the one which best matches the measured and calculated spectral emissions can be found. The technique is first applied to the one-dimensional problem. Application of the method to two- and three-dimensional problems is investigated by using numerically calculated temperature distributions and emission data.
- Research Organization:
- New Mexico State Univ., Las Cruces, NM (USA)
- OSTI ID:
- 5726022
- Country of Publication:
- United States
- Language:
- English
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