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Novel real-time surface heat flux estimation method based on thermal mode and recursive least square deconvolution is presented for the 3D finite domain.
Effect of the dynamic convection condition was considered in estimation by employing the additional FEM term and the measured ambient temperature.
Novel Recursive least square deconvolution(RLSD) is introduced to achieve the efficient computing and real-time estimation.
The estimation result from experiment presents the root mean square error(RMSE) within 2.5% for the maximum magnitude of measured heat flux history, achieved in only 49 s of computing time for long-term estimation of 100 min. All estimated results are in good agreement with measured experimental results.
Dec, 2019
International Journal of Heat and Mass Transfer,144, pp.118622-118631
