Ultrasonic sensors for process industry

Hauptmann, P.; Hoppe, N.; Puettmer, Alf

doi:10.1109/ultsym.2001.991644

Cited by 12 publications

(8 citation statements)

References 12 publications

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“…Die Generierung der Ultraschallwellen wird dabei meist durch piezokeramische Transducer realisiert, welche elektrische Energie in mechanische Energie umwandeln und umgekehrt. Ultraschall-Transducer können in einem weiten Temperaturbereich eingesetzt werden (bis zu 300 °C) und besitzen die erforderliche Langzeitstabilität und Zuverlässigkeit für industrielle Anwendungen [13]. Dabei können entsprechend den Anforderungen spezifische Keramiken zur Konstruktion der Transducer verwendet werden [14].…”

Section: Messmethodenunclassified

P1.10 - Ultraschall – Etablierte Methodik oder innovative Messtechnik?

Metzenmacher¹,

Beugholt²,

Geier³

et al. 2019

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Section: Messmethodenunclassified

P1.10 - Ultraschall – Etablierte Methodik oder innovative Messtechnik?

Metzenmacher¹,

Beugholt²,

Geier³

et al. 2019

Tagungsband

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“…Ultrasonic velocity is closely related to the elastic modulus and density when an ultrasonic wave propagates in the pipe wall (Hauptmann et al , 2001). Because the transverse wave can only be propagated in solid, the transmission of the ultrasonic flowmeter transducers must be in the form of a longitudinal wave.…”

Section: Measurement Error Model Of Ultrasonic Flowmeter Caused By Temperaturementioning

confidence: 99%

Study of the influence of temperature on the measurement accuracy of transit-time ultrasonic flowmeters

Deng

Wang

et al. 2019

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Purpose The purpose of this study is to deal largely with the influence of temperature variation on the measurement accuracy of transit-time ultrasonic flowmeter. Design/methodology/approach The causes of measurement error due to temperature are qualitatively and quantitatively analyzed, and a mathematical model is established. The experimental data are processed and analyzed, and the temperature compensation coefficient of flow measurement is obtained. Findings The experimental results show that the flow measurement results by temperature compensation are helpful in improving the measurement accuracy of the ultrasonic flowmeter. Practical implications This study has certain application value, which can provide theoretical support for the design of high-precision ultrasonic flowmeters and design guidance. Originality/value It is worth emphasizing that there are few research studies on the influence factors of temperature. This paper focuses on the influence of the temperature change on the flowmeter that is modeled, and the high precision flow parameter test system is designed based on the established model.

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“…Also, Hauptmann et al [27] reported that thresholds are often not suitable, stating that the detection stability can be enhanced by processing ultrasonic echo profiles pertaining to different parameters via fuzzy logic or neural network techniques. So, clearly a constant, reliable global amplitude threshold does not exist.…”

Section: The Algorithmmentioning

confidence: 99%

Time‐of‐flight prediction for fermentation process monitoring

Hoche

Hussein

et al. 2011

Engineering in Life Sciences

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This work presents an ultrasound‐based inline sensor system, which is used to monitor the alcoholic yeast fermentation. The pulse‐echo method is used to determine ultrasound velocity (USV) of the sample medium. The major aim of the paper is to highlight the importance of an accurate time‐of‐flight (TOF) estimation for accurate concentration determination and to present method immanent strategies to fulfill the requirements. An algorithm aiming at a stable and highly accurate TOF estimation in time domain was developed. The basic methods of the algorithm are a frame‐wise signal analysis based on the sensor dimensions, cross‐correlation to find complementary impulses and root estimation via polynomial fit to calculate the TOF in time domain. The analysis results of laboratory‐scale validation trials (demineralized, vented water) and of real process data (yeast propagation) are presented. In spite of the stable algorithm performance in the lab scale, the algorithm fails in a few cases of real process signals. The relevant signals and corresponding causes for failure were analyzed and future strategies for algorithm enhancement are discussed. Reviewing the results, the aimed USV accuracy of 0.075 m/s can be achieved. The maximum USV error of the used principles and applied methods in the investigated temperature range is ±0.02%.

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Ultrasonic sensors for process industry

Cited by 12 publications

References 12 publications

P1.10 - Ultraschall – Etablierte Methodik oder innovative Messtechnik?

P1.10 - Ultraschall – Etablierte Methodik oder innovative Messtechnik?

Study of the influence of temperature on the measurement accuracy of transit-time ultrasonic flowmeters

Time‐of‐flight prediction for fermentation process monitoring

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