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Secara umumnya, objektif projek ini adalah untuk mengimplimentasi teknik sinaran berbilang “fan beam” menggunakan penderia gentian optik dengan tujuan meningkatkan kadar perolehan data. Teknik sinaran berbilang “fan beam” dalam kes ini boleh didefinisikan sebagai membenarkan lebih daripada satu pemancar untuk memancarkan cahaya dalam suatu masa yang sama dengan menggunakan kaedah “switch–mode fan beam.” Kata kunci: Penderia gentian optik, tomografi optik fan–beam, teknik berbilang pemancar, kaedah switch–mode fan beam This paper investigates the acquisition rate for a multi–projection technique using optical fibre sensors for a fan beam optical tomography system. The multi–projection technique allows more than one emitter to project light at the same time. For the 32 pairs of sensors used, the 2–projection technique is being investigated whereby 16 sets of projections will complete one frame of light emission. Compared to the conventional single light projection technique used in switch–mode fan beam, multiple light projections technique has shown to be able to achieve a higher data acquisition rate. Key words: Optical fibre sensor, fan beam optical tomography, multi–projection technique, switch–mode fan beam method

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The application of optical sensors in process tomography involves using non-intrusive sensors to obtain vital information in order to produce images from the dynamic characteristics of a process system. Multiple fan beam projection technique here is defined as allowing more than one emitter to transmit light at the same time using the switch-mode fan beam method. For the thirty-two pairs of sensors used, the 2-projection technique and 4-projection technique are being investigated. Sixteen sets of projections will complete one frame of light emission for the 2-projection technique while eight sets of projection will complete one frame of light emission for the 4-projection technique. The data obtained from optical fibre sensors will then be reconstructed into image using the Linear Back Projection and Iterative Reconstruction algorithms through Visual C++ programming. Concentration measurements and series of error analyses will determine the feasibility of the optical fibre sensors to perform as an instrument in solid flow visualization.