İskender, İres; Erta ş, Emre; Genç, Naci
December 2007
Journal of the Faculty of Engineering & Architecture of Gazi Uni;Dec2007, Vol. 22 Issue 4, p759
Academic Journal
In this paper, the experimental studies of different flow density values have been carried on a designed and implemented flow meter being known as ultrasound working based on high frequency sound wave technology. The calibration of the flow meter has been realized using the results obtained from the study. The transit-time method has been used as the basis of the flow measure. For calibration of the flow meter, the experimental study has been carried on twenty different flow densities and the differences between the measured and the exact values have been observed. Then, to minimize these differences, two different calibration methods being 'linearequation' and 'artificial-neural-network' methods have been developed and the results have been obtained. Using the results, the two mentioned methods have been compared and those effects on the accuracy of the flow meter have been discussed. It has been shown that between these two methods the accuracy of the 'neuralnetwork' method is higher than that of the 'linear-equation' method.


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