An accurate air temperature measurement system based on an envelope pulsed ultrasonic time-of-flight technique

Huang, Yu-Pei; Huang, Y. P.; Huang, K. N.; Young, Ming‐Shing

doi:10.1063/1.2804115

Cited by 18 publications

(12 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, the humidity's influence on sound velocity is relatively small when compared to temperature influences. [1,2] In order to evaluate the efficiency of the proposed STC manner, as well as to simplify the experiment setup, the humidity level is controlled at a fixed value. The universally accepted value for sound velocity c, at 0 C and 1 atm (760 mm Hg) is: 331.45 AE 0.05 m=s for audio frequencies.…”

Section: The Stc Measurementmentioning

confidence: 99%

See 1 more Smart Citation

An Accurate Ultrasonic Distance Measurement System with Self Temperature Compensation

Huang¹,

Young²

2009

Instrumentation Science & Technology

Self Cite

View full text Add to dashboard Cite

This study proposes an accurate distance measurement system which has self-temperature-compensation (STC) with the environmental average temperature in space, rather than a single point temperature. This system combines both the amplitude modulation (AM) and the phase modulation (PM) of the pulse-echo technique. The proposed system can reduce error caused by inertial delay and the amplitude attenuation effect when using the AM and PM envelope square waveform (APESW). The proposed system adopts two identical measurement hardware sets using the APESW ultrasonic driving waveform. The first set measures the sound velocity (the environmental average temperature information is also involved) as the result of the temperature compensation data for the second distance measuring set. Without using a temperature sensor, experimental results indicate that the proposed STC distance measurement system can accurately measure the distance. The experimental standard deviation of the linearity with respect to the distance is found to be 0.21 mm at a range of 50 to 500 mm. Moreover, the proposed system's temperature uncertainty effect produced a standard deviation of 0.093 mm, while the temperature sensor system's uncertainty effect produced a standard deviation of 0.68 mm. The STC manner is simple and can be easily adapted for robotic applications for which the temperature sensors can not easily be set up and placed. The main advantages of this STC distance measurement system are: high resolution, low cost, and ease of implementation.

show abstract

Section: The Stc Measurementmentioning

confidence: 99%

“…[1,2] The APESW ultrasonic driving waveform causes a phase inversion phenomenon in the relative waveform of the receiver. The phase inversion phenomenon sufficiently identifies the ''measurement pulse'' in the received waveforms, and can be used for accurate time of flight (TOF) measurement.…”

Section: Introductionmentioning

confidence: 99%

An Accurate Ultrasonic Distance Measurement System with Self Temperature Compensation

Huang¹,

Young²

2009

Instrumentation Science & Technology

Self Cite

View full text Add to dashboard Cite

show abstract

“…Thus, the "noise" levels are higher. Most common issues in ultrasound tomography revolve around the estimation of TOF and AA from the full-waveforms, especially in instruments that are not calibrated or that are characterised by high "noise" levels [18], [19], [20], [21]. A novel reflection TOF picking method was built to tackle this problem.…”

Section: Introductionmentioning

confidence: 99%

A Triple-Modality Ultrasound Computed Tomography Based on Full-Waveform Data for Industrial Processes

Koulountzios

Rymarczyk²,

Soleimani

2021

IEEE Sensors J.

View full text Add to dashboard Cite

Ultrasound computed tomography (USCT) is gaining interests in many application areas in industrial processes. The recent scientific research focuses on the possible uses of USCT for varied fields of industry such as flow monitoring in pipes, non-destructive inspection, and monitoring of stirred tanks chemical processes. Until now, most transmission tomography (UTT) and reflection tomography (URT) have been demonstrated individually for these applications. A full waveform USCT contain large amount of information on process under evaluation. The developed approach in this paper is focusing on demonstration of a triple modality USCT. First, an optimised transmission image is formed by fusion of time-of-flight (TOF) and acoustic attenuation (AA) images. Secondly, a reflection image is being optimised by using the information from the transmission image. This triple modality method enables integration of a shape-based approach obtained by URT mode with the quantitative image-based approach UTT mode. A delicate combination of the different information provided by various features of the full-wave signal offers optimal and increased spatial resolution and provides complementary information. Verification tests have been implemented using experimental phantoms of different combinations, sizes, and shapes, to investigate the qualitative imaging features. Moreover, experiments with different concentrations solutions further validate the quantitative traits to benefit from both reflection and transmission modes. This work displays the potential of the full-waveform USCT for industrial applications.

show abstract

“…Stored biomass like wood pellets have a low heat conduction coefficient, so the temperature of the air gaps should be the same as that of surrounding biomass. Acoustic techniques have been used to measure the temperature of air in free space, flame and water [7][8][9][10][11][12][13]. Miao et al used a linear chirp sound wave with frequencies from 200 to 500 Hz to measure the temperature of air.…”

Section: Introductionmentioning

confidence: 99%

Temperature measurement of stored biomass using low-frequency acoustic waves and correlation signal processing techniques

Guo

Yan

et al. 2018

Fuel

View full text Add to dashboard Cite

As a substitute of traditional fossil fuels, biomass is widely used to generate electricity and heat.The temperature of stored biomass needs to be monitored continuously to prevent the biomass from self-ignition. This paper proposes a non-intrusive method for the temperature measurement of stored biomass based on acoustic sensing techniques. A characteristic factor is introduced to obtain the sound speed in free space from the measured time of flight of acoustic waves in stored biomass. After analysing the relationship between the defined characteristic factor and air temperature, an updating procedure on the characteristic factor is proposed to reduce the influence of air temperature. By measuring the sound speed in free space air temperature is determined which is the same as biomass temperature. The proposed methodology is examined using a single path acoustic system which consists of a source and two sensors. A linear chirp signal with a duration of 0.1 s and frequencies of 200-500 Hz is generated and transmitted through stored biomass pellets. The time of flight of sound waves between the two acoustic sensors is measured through correlation signal processing. The relative error of measurement results using the proposed method is no more than 4.5% over the temperature range from 22 to 48.9 . Factors that affect the temperature measurement are investigated and quantified. The experimental results indicate that the proposed technique is effective for the temperature measurement of stored biomass with a maximum error of 1.5 under all test conditions.

show abstract

An accurate air temperature measurement system based on an envelope pulsed ultrasonic time-of-flight technique

Cited by 18 publications

References 13 publications

An Accurate Ultrasonic Distance Measurement System with Self Temperature Compensation

An Accurate Ultrasonic Distance Measurement System with Self Temperature Compensation

A Triple-Modality Ultrasound Computed Tomography Based on Full-Waveform Data for Industrial Processes

Temperature measurement of stored biomass using low-frequency acoustic waves and correlation signal processing techniques

Contact Info

Product

Resources

About