Abstract
Heat transfer from a two dimensional fin was computationally simulated by a finite element method and probabilistically evaluated in view of the several uncertainties in the performance parameters, which are indices of fin efficiency. Cumulative distribution functions and sensitivity factors were computed for overall heat transfer rate due to the thermodynamic random variables. These results can be used to quickly identify the most critical design variables in order to optimize the design and make it cost effective. The analysis leads to the selection of the appropriate measurements to be used in heat transfer and to the identification of both the most critical measurements and parameters.
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