The correct identification of two-phase flow regime is the basis for the accurate measurement of flow parameters in two-phase flows.Computerized tomography (CT) is applied to two-phase/multi-phase flow measurement in ...The correct identification of two-phase flow regime is the basis for the accurate measurement of flow parameters in two-phase flows.Computerized tomography (CT) is applied to two-phase/multi-phase flow measurement in recent years because of its characteristics of non-invasiveness and visibility.Image reconstruction of CT often involves solving large-dimension matrix equations repeatedly, which is expensive in computation, especially for on-line identification of flow regimes.In this paper, the minimum cross entropy reconstruction based on multi-resolution processing (MRMCE) is presented for fast image reconstruction.Both simulation and experiments have been carried out, showing that the proposed method can reduce the computation time and improve the quality of reconstructed image with suitable decomposition levels.This method can be applied to on-line observation for two-phase flow regime.展开更多
文摘The correct identification of two-phase flow regime is the basis for the accurate measurement of flow parameters in two-phase flows.Computerized tomography (CT) is applied to two-phase/multi-phase flow measurement in recent years because of its characteristics of non-invasiveness and visibility.Image reconstruction of CT often involves solving large-dimension matrix equations repeatedly, which is expensive in computation, especially for on-line identification of flow regimes.In this paper, the minimum cross entropy reconstruction based on multi-resolution processing (MRMCE) is presented for fast image reconstruction.Both simulation and experiments have been carried out, showing that the proposed method can reduce the computation time and improve the quality of reconstructed image with suitable decomposition levels.This method can be applied to on-line observation for two-phase flow regime.
