Visible to the public A prototype model development for classification of material using acoustic resonance spectroscopy

TitleA prototype model development for classification of material using acoustic resonance spectroscopy
Publication TypeConference Paper
Year of Publication2017
AuthorsKhan, M., Reza, M. Q., Sirdeshmukh, S. P. S. M. A.
Conference Name2017 International Conference on Multimedia, Signal Processing and Communication Technologies (IMPACT)
Keywordsacoustic coupling, acoustic noise, acoustic resonance, acoustic resonance spectroscopy, Acoustic resonance spectroscopy (ARS), Acoustic signal processing, acoustic signature, Acoustics, ceramic coated piezoelectric transducers, ceramics, constituent identification, Cyber-physical systems, data acquisition, defective pills, fast Fourier transforms, FFT, Glass, Human Behavior, Inspection, inspection methods, Liquids, material classification, measurement system, offline analysis, pick up transducer, Piezoelectric transducer, piezoelectric transducers, prototype model development, pubcrawl, Real time acquisition system, recorded signals, resilience, Resiliency, Resonant frequency, Scalability, Spectroscopy, transducer holder physical coupling, Transducers, transmitted signal, transmitter, ultrasonic materials testing, ultrasonic transducers, V-shaped glass rod, Vibrations, water-salt samples, water-sugar samples, White noise, white noise generator

In this work, a measurement system is developed based on acoustic resonance which can be used for classification of materials. Basically, the inspection methods based on acoustic, utilized for containers screening in the field, identification of defective pills hold high significance in the fields of health, security and protection. However, such techniques are constrained by costly instrumentation, offline analysis and complexities identified with transducer holder physical coupling. So a simple, non-destructive and amazingly cost effective technique in view of acoustic resonance has been formulated here for quick data acquisition and analysis of acoustic signature of liquids for their constituent identification and classification. In this system, there are two ceramic coated piezoelectric transducers attached at both ends of V-shaped glass, one is act as transmitter and another as receiver. The transmitter generates sound with the help of white noise generator. The pick up transducer on another end of the V-shaped glass rod detects the transmitted signal. The recording is being done with arduino interfaced to computer. The FFTs of recorded signals are being analyzed and the resulted resonant frequency observed for water, water+salt and water+sugar are 4.8 KHz, 6.8 KHz and 3.2 KHz respectively. The different resonant frequency in case different sample is being observed which shows that the developed prototype model effectively classifying the materials.

Citation Keykhan_prototype_2017