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| The Ultrasonic Mass Flow Measurement Method of Light FuelBased on the Artificial Neural Network Model |
| ZHANG Xiao-zhong,MENG Fan-qin,SONG Sheng-kui |
| Air Force Logistics Collage, Xuzhou, Jiangsu 221000, China |
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Abstract The relationship between the light fuel ultrasonic velocity, its density and temperature is studied on the basis of a large amount of experimental data. The artificial neural network model is established to predict light fuel density of various batches and various manufactures, the predicting error of the density is less than 0.24%. A method of mass flow measurement by a ultrasonic flow meter has been given. With no need for the fuel standard density, the ultrasonic flow meter can measure the light liquid fuel mass measurement, the repeatability error of mass flow of a prototype proved to be less than 0.35%.
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Received: 08 August 2016
Published: 28 February 2017
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2017, Vol. 38 
