Compensation of Temperature Variation in a Volume-Meter Device Using Particle Swarm Optimization Algorithm

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Abstract

In order to measure the volume of solid bodies, acoustic volume-meter device can be used. The reference and measuring containers of the mechanical part are separated by a speaker diaphragm. The object to be measured is placed inside the measuring container and a sinusoidal variation in the volume of the two containers is introduced by movement of the speaker diaphragm. As a result the pressure inside the containers is changed and this is measured using two microphones. Low measurement time and cost, simplicity and acceptable accuracy are the remarkable characteristics of the developed device. However, the device measurements are sensitive to the variation of temperature. This temperature sensitivity is found to be originated from the mechanical part of the device. To deal with the negative effects of temperature variations several approaches including incorporation of measurement microphones and specific components associated with them, calibration against a reference volume just before each measurement and temperature compensation, may be adopted. Among these, temperature compensation is a cost effective method that this paper is concerned with. Thus, a temperature sensor is included in the mechanical part and is connected to the interface board and the data from microphones and this sensor is recorded simultaneously. Based on the collected data and the particle swarm optimization algorithm, a function is derived that compensates the effect of temperature. The results indicate that the using the presented method, the inaccuracies due to the temperature variations can be significantly reduced and a conduct more accurate measurement

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