Static characterization of a dual sensor flow imaging system

Abstract

A dual sensor flow imaging system based on electrical capacitance and gamma-ray tomography has been developed and tested at the Department of Physics, University of Bergen, Norway. The capacitance tomograph utilizes an eight-electrode sensor set-up, whilst the gamma-ray tomograph is configured in a setting of five radiation sources versus a total of 85 compact gamma-ray semiconductor detectors. The data acquisition system is based on transputer technology, whereas the reconstruction and image presentation processing system can be either a transputer-based network or a conventional state of the art processing engine. This paper presents the work that has been performed in relation to the static phantom characterization of the imaging system. The objective of the work has been to quantitatively evaluate the static imaging performance of the tomography system with respect to relative parameter and relative spatial measurement errors. The work shows that the dual sensor imaging system is feasible for acquisition of two and three phase tomograms, and accurate acquisition of process parameters. The difference in spatial accuracy of the soft field sensor tomograms (capacitance) from that of the hard field sensor tomograms (gamma-ray) is clearly demonstrated.