In this paper an intelligent flow measurement technique is designed by ultrasonic transducers with the help of optimized Fuzzy Logic controller.The main objectives of the present work is to make the intelligent flow measurement technique adaptive to variations in pipe diameter,liquid density& liquid temperature & make a linear relationship between input & output parameter.The output of an ultrasonic flow transducer is frequency which is converted to voltage by using the signal conditioning circuit. For calibration purpose an optimum Fuzzy logic controller is placed instead of conventional calibration circuit and it is test & trained for various values of pipe diameter,liquid density ,liquid temperature & signal conditioning output.The proposed technique is then subjected to the practical data for validation which is done with the help of actual flowrate & output of the intelligent technique.
Ultrasonic Flow Transducer, Flow Measurement, Sensor Modelling, Fuzzy Logic Controller, Optimization.
 Aziz E., Kanev Z., Barboucha M., Maimouni R., Staroswiecki M. (1996). An ultrasonic flowmeter designed according to smart sensors concept, Proc. Electrotechnical Conference, Vol. 3, pp. 1371-1374.
 Jesse Y. (2000). Flow calibration: how, why, and where, white paper on control for the process industries, Putman Publishers.
 Povey M.J.W. (2005). Ultrasonic techniques for fluid characterization, Academic, New York.
 Lynnworth L.C. (2006). Ultrasonic measurements for process control, Academic, New York.
 Chiang C.T., Huang Y.C. (2006). A semi cylindrical capacitive sensor with interface circuit used for flow rate measurement, IEEE Sensor Journal, Vol. 6, No. 6, pp. 1564-1570.
 Santosh K.V., Roy B.K. (2012). A practically validated intelligent calibration technique using optimized ANN for ultrasonic flow meter, International Journal of Control & Automation, Vol. 5, pp. 185-196.
 Stanley E.W., Bryant D.T. (2007). A wireless fluid-level measurement technique, Journal on Sensors and Actuator A, Vol. 137, pp. 268-277.
 Yaoying L., Volker H. (2007). Self-monitoring ultrasonic gas flow meter based on vortex and correlation method, IEEE Transactions on Instrumentation and Measurement, Vol. 56, No. 6, pp. 2420-2424.
 Emmanuelle M., Denis K., Rodolphe B., Remenieras J.P., Frederic P. (2008). Methodology for developing a high-precision ultrasound flow meter and fluid velocity profile reconstruction, IEEE Transactions on Ultrasoincs, Ferroelectronics, and Frequency Control, Vol. 55, No. 1, pp. 161-172.
 Keitmann C., Funck B. (2008). A new calibration method for ultrasonic clamp-on transducers, Proc. IEEE Ultrasonic Symposium, Beijing, China.
 Yuto I., Hiroshige K., Hideki M., Masanori A., Michitsugu M. (2008). A study of ultrasonic propagation for flow rate measurement, Journal of Flow Measurement and Instrumentation, Vol. 19, pp. 223-232.
 Kenichi T., Michitsugu M., Takeshi S., Toshimasa K. (2008). Ultrasonic pulse-doppler flow meter application for hydraulic power plants, Journal on Flow Measurement and Instrumentation, Vol. 19, pp. 155-162.
 Satish C.B., Badal C. (2009). A novel technique of flow measurement for a conducting liquid, IEEE Transactions on Instrumentation and Measurement, Vol. 58, No. 8.
 Edin T., Romesh N., Muhammad A. (2011). A neural network approach to fluid quantity measurement in dynamic environments, Journal on Mechatronics, Vol. 21, pp. 145-155.
 Yi L., Sun L.J., Lei Q., Shengjie L., Wei Y.X. (2012). Development of a gas flow and velocity calibration facility, Proc. International Conference on Consumer, Electronics, Communications and Networks, Three Gorges, China.
 Taleb M., Jian M., Jiang Y.T., Ning L. (2011). Flow rate measurement in a hightemperature radioactive, and corrosive environment, IEEE Transactions on Instrumentation and Measurement, Vol. 60, No. 6, pp. 2062-2069.
 Kaurosh K., Thorsten S., Helmut R. (2006). Model-based density measurement with coriolis flow meter, IEEE Transactions on Instrumentation and Measurement, Vol. 55, No. 4, pp. 1258-1262.
 Zhang H., Yu G. (2006). A new design for ultrasonic gas flowmeter, Proc. World Congress on Intelligent Control and Automation, Dalian, China.