Defect detection study on total focus method of sound field imaging based on parallel processing

Zhang, Xinlu; Guo, Junfeng; Luo, Xiaoxiang; Gao, Xiaorong; Wang, Zeyong; Zhao, Qida; Zheng, Biao

doi:10.1109/fendt.2014.6928244

Cited by 3 publications

(2 citation statements)

References 13 publications

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“…Acoustic energy produced by the virtual source is higher and enables the NDE-20-1080 3 inspection at large depth with improved Signal to Noise Ratio (SNR). TFM performance speed can be enhanced by reducing the number of independent firings [8,9]. However, without optimization of the transducer parameters, sparse array may produce the side lobe or grating lobes [1].…”

Section: Introductionmentioning

confidence: 99%

Total Focusing Method Based Ultrasonic Phased Array Imaging in Thick Structures

Sumana

Kumar

2021

Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems

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Ultrasonic non-destructive testing traditionally uses a conventional monolithic transducer. An approach similar to this comprising of independent single transmissions but with reception performed by all the elements in phased array ultrasonics is known as Full Matrix Capture (FMC). The acquired data is processed by Total Focusing Method (TFM). Conventional FMC-TFM has limitations in the inspection at large depth in attenuating materials due to single element transmission. To improve the beam forming process, coherent recombination of the plane wave with specific angles is utilized in transmission and the same aperture is used for the reception in Plane Wave Imaging (PWI). A new methodology called Angle Beam Virtual Source FMC-TFM (ABVSFMC-TFM) is proposed to inspect thick attenuating materials such as nickel base alloys. The ABVSFMC method leads to improved Signal to Noise Ratio (SNR) as compared to the conventional FMC due to increased energy with directivity during transmission using a group of elements and improved divergence as compared to the PWI due to a small virtual source near the sample surface. In the present paper, FMC-TFM, PWI-TFM and ABVSFMC-TFM methods are compared for inspection of thick nickel base superalloy (Alloy 617) with slots at various depths in the range of 25-200 mm. Optimization of the incidence angle has been performed by beam computation in CIVA software. Results obtained by CIVA simulations are discussed and also compared for the three methods.

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Section: Introductionmentioning

confidence: 99%

Total Focusing Method Based Ultrasonic Phased Array Imaging in Thick Structures

Sumana

Kumar

2021

Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems

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“…Guo et al [ 4 ] improved a TFM imaging system and proposed an algorithm based on read-only memory (ROM). Zhang et al [ 5 ] used a state machine, operation unit, and a large data storage unit to form the TFM algorithm imaging system, which achieved good performance. Tang et al [ 6 ] proposed a data transmission algorithm for UPAs, but it does not work with delay and focus.…”

Section: Introductionmentioning

confidence: 99%

Improved Bound Fit Algorithm for Fine Delay Scheduling in a Multi-Group Scan of Ultrasonic Phased Arrays

Tang

Liu

2019

Sensors

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Multi-group scanning of ultrasonic phased arrays (UPAs) is a research field in distributed sensor technology. Interpolation filters intended for fine delay modules can provide high-accuracy time delays during the multi-group scanning of large-number-array elements in UPA instruments. However, increasing focus precision requires a large increase in the number of fine delay modules. In this paper, an architecture with fine delay modules for time division scheduling is explained in detail. An improved bound fit (IBF) algorithm is proposed, and an analysis of its mathematical model and time complexity is provided. The IBF algorithm was verified by experiment, wherein the performances of list, longest processing time, bound fit, and IBF algorithms were compared in terms of frame data scheduling in the multi-group scan. The experimental results prove that the scheduling algorithm decreased the makespan by 8.76–21.48%, and achieved the frame rate at 78 fps. The architecture reduced resource consumption by 30–40%. Therefore, the proposed architecture, model, and algorithm can reduce makespan, improve real-time performance, and decrease resource consumption.

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Total Focusing Method Based Ultrasonic Phased Array Imaging in Thick Structures

Kumar¹

2021

Preprint

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Ultrasonic non-destructive testing traditionally uses a conventional monolithic transducer. An approach similar to this comprising of independent single transmissions but with reception performed by all the elements in phased array ultrasonics is known as Full Matrix Capture (FMC).The acquired data is processed by Total Focusing Method (TFM). Conventional FMC-TFM has limitations in the inspection at large depth in attenuating materials due to single element transmission. To improve the beam forming process, coherent recombination of the plane wave with specific angles is utilized in transmission and the same aperture is used for the reception in Plane Wave Imaging (PWI). A new methodology called Angle Beam Virtual Source FMC-TFM (ABVSFMC-TFM) is proposed to inspect thick attenuating materials such as nickel base alloys.The ABVSFMC method leads to improved Signal to Noise Ratio (SNR) as compared to the conventional FMC due to increased energy with directivity during transmission using a group of elements and improved divergence as compared to the PWI due to a small virtual source near the sample surface.

show abstract

Defect detection study on total focus method of sound field imaging based on parallel processing

Cited by 3 publications

References 13 publications

Total Focusing Method Based Ultrasonic Phased Array Imaging in Thick Structures

Total Focusing Method Based Ultrasonic Phased Array Imaging in Thick Structures

Improved Bound Fit Algorithm for Fine Delay Scheduling in a Multi-Group Scan of Ultrasonic Phased Arrays

Total Focusing Method Based Ultrasonic Phased Array Imaging in Thick Structures

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