Ultrasonic Transmission-Mode Tomography Imaging for Liquid/Gas Two-Phase Flow

Rahiman, Mohd Hafiz Fazalul; Rahim, Ruzairi Abdul; Tajjudin, Mazidah

doi:10.1109/jsen.2006.884549

Cited by 84 publications

(21 citation statements)

References 12 publications

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“…Transmission systems are more suited to detecting localised changes in material properties such as density or temperature but can also be used to detect inhomogeneities, as these will block the transmitted waves. Examples of transmission systems include the work of Fazalul Rahiman, Abdul Rahim, Fazalul Rahiman, and Tajjudin (2006) and Holstein et al (2004), whereas examples of reflection systems include the work of Chen and Sanderson (1996) and Schlaberg et al (1998).…”

Section: Different Types Of Systemsmentioning

confidence: 99%

“…These and other researchers have adapted the back-projection technique to include thresholding methods (Fazalul Rahiman et al, 2006;Opielinski & Gudra, 2006). This is where a pixel is given one of two values based on the value of the pixel relative to some predetermined threshold.…”

Section: Image Reconstructionmentioning

confidence: 99%

“…Opielinski and Gudra (2006) used a transmission system with two pairs of moveable transmitters and receivers to detect multiple solid objects of varying shapes in a gas system. The Malaysia researchers Abdul Rahim and Fazalul Rahiman have many published articles on a transmission ultrasound tomography system using a fan-beamed transducer to image bubbles in flow and classify different types of liquid gas flows such as plug, stratified and annular (Figure 9.10) (Abdul Rahim et al, 2005Abdul Wahab, Abdul Rahim, Fazalul Rahiman, & Ahmad, 2011;Fazalul Rahiman et al, 2006Fazalul Rahiman, Abdul Rahim, Abdul Rahim, Muji, & Mohamad, 2012). This ultrasound tomography system was also capable of imaging gas and solids in the same fluid continuum (Abdul Wahad et al, 2011) and was used to image the quantity of oil and water flowing in a pipe by measuring the received signal voltage (Abdul Rahim, Nyap, Fazalul Rahiman, & San, 2007).…”

Section: Characterisation Of Multiphase Flowsmentioning

confidence: 99%

See 2 more Smart Citations

Ultrasound tomography

Watson

2015

Industrial Tomography

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Section: Different Types Of Systemsmentioning

confidence: 99%

Section: Image Reconstructionmentioning

confidence: 99%

Section: Characterisation Of Multiphase Flowsmentioning

confidence: 99%

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Ultrasound tomography

Watson

2015

Industrial Tomography

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“…The quality of over 1000 scanned images demonstrating the sensitivity of the ultrasonic CT system approaches the work done by using the X-ray technique [12]. Rahiman et al obtained the mode tomography imaging for liquid/gas two-phase flow by using an ultrasonic CT technique [16]. Hay et al used Lamb waves ultrasonic computerized tomography to identify the material loss of real aircraft components by embedding piezoelectric sensors on the surface [17].…”

Section: Introductionmentioning

confidence: 99%

Improved Ultrasonic Computerized Tomography Method for STS (Steel Tube Slab) Structure Based on Compressive Sampling Algorithm

2017

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This paper developed a new ultrasonic computerized tomography (CT) method for damage inspections of a steel tube slab (STS) structure based on compressive sampling (CS). CS is a mathematic theory providing an approximate recovery for a sparse signal with minimal reconstruction error from under-sampled measurements. Considering the natural sparsity of the damage, CS algorithm is employed to image the defect in the concrete-filled steel tube of Shenyang Metro line 9 for reducing the work time. Thus, in the measurement stage, far fewer ultrasonic measurement paths were selected from the dense net of conventional ultrasonic CT techniques to capture the underlying damage information. Then, in the imaging stage, 1 -norm minimization algorithm of CS theory is selected to recover the internal damage via fusing measurement data and solving optimization problem. The functionality of the proposed method is validated by three numerical concrete tube models with various conditions. Additionally, both the conventional ultrasonic CT technique and the proposed one are employed for ultrasonic inspection of the STS structure in Shenyang Metro line 9. Both the numerical and experimental results indicate that the proposed ultrasonic CT improved by CS has a great potential for damage detection, which provides an alternative accurate and effective way for non-destructive testing/evaluation (NDT/E).

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“…Most of ultrasonic tomography techniques are applied for flow measurement such as investigated by A.Rahim et al [8], Rahiman et al [13], Brown et al [14], Yang et al [15], Chen and Sanderson [16] and others. The application of ultrasonic tomography system through steel pipes as conveyor is rarely studied due to high attenuation of ultrasonic energy and the high influence of bulk waves [17].…”

Section: Introductionmentioning

confidence: 99%

Tomographic image reconstruction of monitoring flaws on gas pipeline based on reverse ultrasonic tomography

Nordin

Idroas

Zakaria

et al. 2014

2014 5th International Conference on Intelligent and Advanced Systems (ICIAS)

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The capability of a technique to reconstruct a tomographic image of flaws existence on gas pipeline via reverse ultrasonic tomography is presented. The ultrasonic tomography system is developed to monitor flaws circumferentially on pipeline with contactless measurement of distance from sensors to the pipe. In oil and gas industry, the applications of ultrasonic tomography technique for flaw detection in pipeline are limited as this technology is still in its infancy. The design of the ultrasonic tomography system consists of ultrasonic sensing system, data acquisition and image reconstruction system. A reflection mode of ultrasonic sensor is used where the output ultrasonic signal reflected from the pipe to the sensor is acquired. The collected data will be used in image reconstruction system to visualize the image. In image reconstruction process, a linear back projection algorithm is used in order to reconstruct the image of the pipe profile with flaws existence. The back projection algorithm is derived by the mathematical relationship of forward and inverse problem. This reconstruction algorithm is implemented in Matlab software to analyze the performance of the technique for different projection and arrays. Through the simulated result, the reconstructed image based on four projections is found to be less smeared compared to the image based on two projections. The effect of aliasing on the image is also reduced as the number of projection is increased. Several images of pipe with flaws existence are reconstructed based on four projections, with 7 x 7 arrays of pixels and twenty-eight of ultrasonic sensors.

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Ultrasonic Transmission-Mode Tomography Imaging for Liquid/Gas Two-Phase Flow

Cited by 84 publications

References 12 publications

Ultrasound tomography

Ultrasound tomography

Improved Ultrasonic Computerized Tomography Method for STS (Steel Tube Slab) Structure Based on Compressive Sampling Algorithm

Tomographic image reconstruction of monitoring flaws on gas pipeline based on reverse ultrasonic tomography

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