Ultrasonic Sensors for Process Control

Hauptmann, P.; Lücklum, Ralf; Henning, Bernd

doi:10.1002/1616-8984(199801)3:1<163::aid-seup163>3.0.co;2-9

Cited by 6 publications

(7 citation statements)

References 14 publications

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“…Attention should be drawn to the application of ultrasonic microsensors for material characterization and reaction monitoring [37,39]. Ultrasonic microsensors based on the quartz crystal microbalance (QCM) principle are very sensitive for a wide variety of chemical applications.…”

Section: Applicationssupporting

confidence: 40%

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On‐line Monitoring of Polymerization and Cure

Hergeth¹

1999

Sensors Update

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Section: Applicationssupporting

confidence: 40%

“…In addition to u and a, other sound wave characteristic (eg, wave phase j, resonance frequency f res , and its shift Df res ) can also be measured in certain ultrasonic sensor applications for material characterization and chemical process monitoring [37]. …”

Section: Principlementioning

confidence: 47%

On‐line Monitoring of Polymerization and Cure

Hergeth¹

1999

Sensors Update

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“…Measurements in these harsh environments can advantageously be made using ultrasound, since it can usually penetrate the walls of vessels or pipes, thus allowing noninvasive measurements. This is indeed verified by a list of publications on process applications of ultrasound during recent decades [2][3][4][5] and a diversified spectrum of process instruments from various manufacturers. The field has enjoyed an increased interest during recent years, driven by the progress in new electronics developments in signal processing.…”

Section: Introductionmentioning

confidence: 61%

Application of ultrasonic sensors in the process industry

Hauptmann

Hoppe

Püttmer

2002

Meas. Sci. Technol.

Self Cite

169

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Continuous process monitoring in gaseous, liquid or molten media is a fundamental requirement for process control. Besides temperature and pressure other process parameters such as level, flow, concentration and conversion are of special interest. More qualified information obtained from new or better sensors can significantly enhance the process quality and thereby product properties. Ultrasonic sensors or sensor systems can contribute to this development.The state of the art of ultrasonic sensors and their advantages and disadvantages will be discussed. Commercial examples will be presented. Among others, applications in the food, chemical and pharmaceutical industries are described. Possibilities and limitations of ultrasonic process sensors are discussed.

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“…Considering these unpredictable phenomena, it can be expected that the echo detection via simple amplitude threshold algorithms based on Boolean logic to detect the real target signal part will not work stably enough to keep the accuracy advantages of the root estimation method. 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.…”

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 Control

Cited by 6 publications

References 14 publications

On‐line Monitoring of Polymerization and Cure

On‐line Monitoring of Polymerization and Cure

Application of ultrasonic sensors in the process industry

Time‐of‐flight prediction for fermentation process monitoring

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