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Research On Post-processing Imaging Algorithm Of Ultrasonic Phased Array Full Focus

Posted on:2022-04-05Degree:MasterType:Thesis
Country:ChinaCandidate:H J QinFull Text:PDF
GTID:2481306515971629Subject:Mechanical Manufacturing and Automation
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In recent years,ultrasonic phased array technology has been widely used in medical,nuclear power,aviation and other fields due to its strong sound wave penetration and controllable sound beams.It is playing an increasingly important role in the field of industrial non-destructive testing.In order to narrow the gap with foreign countries in the research of ultrasonic phased array detection technology and meet the increasing requirements of industrial non-destructive testing,this article has launched the research on the full-focus post-processing imaging algorithm from the ultrasonic phased array detection imaging algorithm.The specific research content is as follows:(1)Introduced the principle of full-matrix and full-focus imaging algorithm and the process of full-matrix data acquisition.Using the full-matrix data collected by ultrasonic phased array,according to the principle of full-focus algorithm,design the flow diagram of the secondary development flow of full-focus imaging algorithm.Relying on the MATLAB software platform,the compilation of the all-focus algorithm has been completed,and the full-focus imaging algorithm has been realized.Representative A-scan,B-scan and C-scan display imaging were performed on the defects in the inspected area,and the results were compared and analyzed with the results of ultrasonic phased array inspection equipment.(2)In view of the long running time and low imaging efficiency of traditional full-matrix full-focusing algorithms,this paper proposes a fast full-focusing imaging algorithm based on uniform sparse matrix from the perspective of compressed data size.By sparse the full matrix data to reduce the amount of data,the traditional full-focus imaging algorithm has been improved to a certain extent.In order to verify the feasibility of the algorithm,relevant experiments were designed specifically.The results show that,under the condition of ensuring certain imaging quality,the imaging speed of the full-focus imaging algorithm based on the uniform sparse matrix is increased by nearly 37%compared with the traditional full-focus imaging,which greatly improves the detection and imaging efficiency of the ultrasonic phased array.(3)Combine the scanning method of layered slices with the full-focus algorithm,use the full matrix echo data of multiple slices and the corresponding position information to construct three-dimensional imaging data,and draw a series of full-focus images with position information.And perform image preprocessing such as edge removal,binarization and grayscale for all images.Taking the position information of each image as a reference,the defects were reconstructed in three dimensions,and a three-dimensional ultrasonic imaging algorithm based on full-focus was constructed to realize the three-dimensional visual imaging of defects in the detected area.(4)Using the ultrasonic phased array testing equipment(multi2000)produced by French M2 M company,a one-dimensional linear probe with 64 array elements and a computer to build the experimental platform,and the standard B-type test block as the testing object.Using the proposed ultrasonic three-dimensional imaging algorithm,the defects were three-dimensionally imaged,the position and shape of the defects in the space were clarified,and more abundant defect information was obtained.Based on the research of traditional full-focus post-processing imaging algorithms,this paper proposes a fast full-focus imaging algorithm to speed up the speed of full-focus imaging in order to solve the problem of low imaging efficiency.At the same time,combined with three-dimensional reconstruction technology,the use of a The dimensional linear array probe realizes 3D ultrasound imaging based on the full-focus algorithm.
Keywords/Search Tags:Ultrasonic phased array inspection, Full matrix data, Full focus algorithm, Imaging efficiency, Ultrasound three-dimensional imaging
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