Literature DB >> 16793084

Process monitoring using ultrasonic sensor systems.

Bernd Henning1, Jens Rautenberg.   

Abstract

Continuous in-line measurement of substance concentration in liquid mixtures is valuable in improving industrial processes in terms of material properties, energy efficiency and process safety. Ultrasonic sensor systems meet the practical requirements of a chemical sensor quite well. Currently ultrasonic sensor systems are widely used as acoustic chemical sensors to measure concentration of selected substances or to monitor the course of polymerisation, crystallisation or fermentation processes. Useable acoustic properties for the characterisation of liquid mixtures are sound velocity, sound absorption and acoustic impedance. This contribution will give a short overview of the state of the art and several trends for the use of ultrasonic sensor systems in process applications. Novel investigations show the very promising possibility to analyse liquid multi-phase mixtures like suspensions, emulsions and dispersions.

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Year:  2006        PMID: 16793084     DOI: 10.1016/j.ultras.2006.05.048

Source DB:  PubMed          Journal:  Ultrasonics        ISSN: 0041-624X            Impact factor:   2.890


  3 in total

1.  Combined Longitudinal and Surface Acoustic Wave Analysis for Determining Small Filling Levels in Curved Steel Containers.

Authors:  Michael Metzenmacher; Alexander Beugholt; Dominik Geier; Thomas Becker
Journal:  Sensors (Basel)       Date:  2022-05-03       Impact factor: 3.847

2.  Inline Measurement of Particle Concentrations in Multicomponent Suspensions using Ultrasonic Sensor and Least Squares Support Vector Machines.

Authors:  Xiaobin Zhan; Shulan Jiang; Yili Yang; Jian Liang; Tielin Shi; Xiwen Li
Journal:  Sensors (Basel)       Date:  2015-09-18       Impact factor: 3.576

3.  Monitoring Mixing Processes Using Ultrasonic Sensors and Machine Learning.

Authors:  Alexander L Bowler; Serafim Bakalis; Nicholas J Watson
Journal:  Sensors (Basel)       Date:  2020-03-25       Impact factor: 3.576

  3 in total

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