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Effects of directivity function on total focusing method imaging performance

2014 IEEE Far East Forum on Nondestructive Evaluation/Testing, 2014
The Total Focus Method (TFM) is a post-processing algorithm which uses all elements in the array to focus in both transmission and reception at every image point. The time-domain signals is captured in a process termed Full Matrix Capture (FMC). In this paper, the main objective is to research the effects of directivity function on the TFM.
null Xiang Zhou   +4 more
openaire   +1 more source

Efficiency improvement of total focusing imaging based on sparse array method

2014 IEEE Far East Forum on Nondestructive Evaluation/Testing, 2014
In this paper, a design concept of sparse array is applied to total focusing imaging technique. During the process, the elements of a phased array are partially selected according to the theory of effective aperture, in order to reduce the amount of captured data and shorten the processing time of TFM imaging.
null Tao Peng   +6 more
openaire   +1 more source

Ultrasonic total focusing method for internal defects in composite insulators

Insight - Non-Destructive Testing and Condition Monitoring
In order to address the problem of poor imaging detection of internal defects caused by the multi-layer curved surface structure and strongly attenuating material of composite insulators, the total focusing method (TFM) with two-layer curved surface correction was investigated.
Hongwei Hu   +4 more
openaire   +1 more source

The post-processing of ultrasonic array data using the total focusing method

Insight - Non-Destructive Testing and Condition Monitoring, 2004
The use of ultrasonic arrays for NDT has increased significantly in recent years. This is due to the flexibility of array systems which can be electronically configured to produce plane, focused, steered and steer-focusedbeams. In this way, one array transducer can do the job of many standard single-element transducers.
Holmes, C, Drinkwater, BW, Wilcox, PD
openaire   +1 more source

Research on Detection of Weld Defects with Multi-Wave Total Focusing Method

2019 14th Symposium on Piezoelectrcity, Acoustic Waves and Device Applications (SPAWDA), 2019
In the modern industry, welded structures are widely used, especially in the aerospace and nuclear industries. In order to prevent accidents, defect detection must be performed. Due to the high anisotropy and non-uniformity in the soldered area, the signal-to-noise ratio(SNR) of the imaging defect is low and the image quality is poor.
Ping ZHANG   +3 more
openaire   +1 more source

Total focusing method applied to probability of detection

The International Journal of Advanced Manufacturing Technology, 2023
Mohammad Ebrahim Bajgholi   +4 more
openaire   +1 more source

Implementation of total focusing method for phased array ultrasonic imaging on FPGA

SPIE Proceedings, 2015
This paper describes a multi-FPGA imaging system dedicated for the real-time imaging using the Total Focusing Method (TFM) and Full Matrix Capture (FMC). The system was entirely described using Verilog HDL language and implemented on Altera Stratix IV GX FPGA development board.
JianQiang Guo   +4 more
openaire   +1 more source

Simulation on qualitative detection of defects with multi-mode total focusing method

2018 IEEE Far East NDT New Technology & Application Forum (FENDT), 2018
Multi-mode total focusing method (TFM) is applied to overcome the limitation that defect type is difficult to be accurately determined with conventional ultrasonic testing. The phased array transducer connected with wedge is employed to implement electronic scan and receive the multiple reflected waves generated from defect surface.
Shijie Jin   +3 more
openaire   +1 more source

Correction to: Total focusing method applied to probability of detection

The International Journal of Advanced Manufacturing Technology, 2023
Mohammad Ebrahim Bajgholi   +4 more
openaire   +1 more source

Fast Imaging Method of Total Focusing Method in Nozzle Weld Inspection

2023 IEEE Far East NDT New Technology & Application Forum (FENDT), 2023
Qian Xu, Hai-Tao Wang
openaire   +1 more source

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