Abstract
This work presents an approach for measuring material volumes in a closed cylindrical silo by using acoustic waves and resonance frequency analysis of silo’s acoustic systems. With an assumption that the acoustical systems were linear and time-invariant, frequency responses of the systems were identified via measurement. A sine sweep was generated, amplified and fed to a loudspeaker inside the silo. Acoustic waves were picked up by a microphone and processed to yield the silo's frequency response. Resonance frequencies and wave mode numbers of standing waves in the frequency range below 900 Hz were analyzed and used for calculation of air-cavity lengths. With known silo's dimension, the material volume estimations were achieved. Sets of experiments for estimating volumes of sand, cement, water, rice grain, and stone flakes in a closed silo, were done. It was found that the approach could successfully estimate the volumes of sand, cement, and water with a satisfactory accuracy. Percent errors of the estimations were less than 3% from the actual volumes. However, the approach could not estimate the volume of rice grain and stone flakes, since their sound refractions were neither resulted in standing waves nor acoustical modes in the silo.
Highlights
Silos are used in industries as storage containers of bulk materials and liquids such as cement, carbon black, grain, water, and oil
We proposed and investigated an approach of usingacoustic waves to estimate material volumes inside a cylindrical silo
Harmonic resonance frequencies and wave mode numbers were analyzed from the obtained frequency responses and used for a calculation of material volumes
Summary
Silos are used in industries as storage containers of bulk materials and liquids such as cement, carbon black, grain, water, and oil. To determine material volumes in such silos, some techniques of volume measurements are requid. Atraditional approachpredicts the silo material volume by making an estimate from a knocking sound. This could yields very inaccurate results since it relies on one’s experience and sound characteristics depending on air cavity in the silo, and other physical factors capable of varying with time, such as temperature, humidity, and air density [1]. Measurements of volume levels in the silo utilizing displacement laser and ultrasonic sensors were found [2,3,4,5].
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