This preprint is under consideration at Chinese Journal of Mechanical Engineering. A preprint is a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
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Original Article
Jiaying Zhang
Dalian Jiaotong University
Corresponding Author
ORCiD: https://orcid.org/0000-0003-1703-113X
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Full matrix focusing method has been proved with the advantages of good signal-to-noise ratio and high-resolution image. However, it is still suffering from the problems of the time-consuming data acquisition and processing. In order to solve the problem, two kind simplified matrix focusing methods are provided in this paper. One is a triangular matrix focusing algorithm based on the principle of reciprocity for the multi-channel ultrasonic system. The other is a trapezoidal matrix focusing algorithm based on the energy weight of the different channel to the imaging area. In order to prove the validity of the provided algorithms, both side-drilled hole and oblique crack defects are used for the imaging comparation. The results show that the imaging quality of the triangular matrix focusing algorithm is basically consistent to that of the full matrix focusing method, and the imaging quality of the trapezoidal matrix focusing algorithm can be slightly reduced as the amount of multi-channel data decreases. In addition, both data acquisition and computational efficiency using the provided algorithms have been improved significantly.
Keywords
Ultrasonic phased array, Full matrix focusing, Triangular matrix focusing, Trapezoidal matrix focusing
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CURRENT STATUS: Under Review
Version 1
Posted 04 Jan, 2021
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Review #2 received
Received 29 Jan, 2021
Review #1 received
Received 27 Jan, 2021
Reviewer #2 agreed
On 17 Jan, 2021
Reviewers invited
Invitations sent on 12 Jan, 2021
Reviewer #1 agreed
On 12 Jan, 2021
Editor assigned
On 21 Dec, 2020
Submission checks complete
On 21 Dec, 2020
Editor invited
On 21 Dec, 2020
First submitted
On 20 Dec, 2020
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Subject Areas
Mechanical Engineering
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This preprint is under consideration at Chinese Journal of Mechanical Engineering. A preprint is a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Learn more about In Review
Original Article
Jiaying Zhang
Dalian Jiaotong University
Corresponding Author
ORCiD: https://orcid.org/0000-0003-1703-113X
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
Peer Review Timeline
CURRENT STATUS: Under Review
Version 1
Posted 04 Jan, 2021
No community comments so far
Review #2 received
Received 29 Jan, 2021
Review #1 received
Received 27 Jan, 2021
Reviewer #2 agreed
On 17 Jan, 2021
Reviewers invited
Invitations sent on 12 Jan, 2021
Reviewer #1 agreed
On 12 Jan, 2021
Editor assigned
On 21 Dec, 2020
Submission checks complete
On 21 Dec, 2020
Editor invited
On 21 Dec, 2020
First submitted
On 20 Dec, 2020
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Mechanical Engineering
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Full matrix focusing method has been proved with the advantages of good signal-to-noise ratio and high-resolution image. However, it is still suffering from the problems of the time-consuming data acquisition and processing. In order to solve the problem, two kind simplified matrix focusing methods are provided in this paper. One is a triangular matrix focusing algorithm based on the principle of reciprocity for the multi-channel ultrasonic system. The other is a trapezoidal matrix focusing algorithm based on the energy weight of the different channel to the imaging area. In order to prove the validity of the provided algorithms, both side-drilled hole and oblique crack defects are used for the imaging comparation. The results show that the imaging quality of the triangular matrix focusing algorithm is basically consistent to that of the full matrix focusing method, and the imaging quality of the trapezoidal matrix focusing algorithm can be slightly reduced as the amount of multi-channel data decreases. In addition, both data acquisition and computational efficiency using the provided algorithms have been improved significantly.
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6
Figure 7
Figure 8
Figure 9
Figure 10
This preprint is available for download as a PDF.
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