Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Peijun Ni"'
Publikováno v:
Metals, Vol 12, Iss 7, p 1088 (2022)
Ultrasonic non-destructive characterization is an appealing technique for identifying the microstructures of materials in place of destructive testing. However, the existing ultrasonic characterization techniques do not have sufficient long-term gage
Externí odkaz:
https://doaj.org/article/2f6b8a02c5aa469c9eff7454680600b4
Publikováno v:
Applied Sciences, Vol 12, Iss 12, p 6268 (2022)
High-quality limited-angle computed tomography (CT) reconstruction is in high demand in the medical field. Being unlimited by the pairing of sinogram and the reconstructed image, unsupervised methods have attracted wide attention from researchers. Th
Externí odkaz:
https://doaj.org/article/de32ef1944484d82bf9265b231395f7d
Publikováno v:
Research in Nondestructive Evaluation. 33:196-217
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::94a86275740576be2204984227da3ef1
https://doi.org/10.1080/09349847.2022.2151058
https://doi.org/10.1080/09349847.2022.2151058
Publikováno v:
Journal of Electronic Materials. 50:2066-2074
A method for accurate and quantitative nondestructive testing of small defects inside metal components has been developed by experimentally investigating the grayscale distribution in computerized tomography (CT) images for a typical 304 stainless-st
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eebb92197f240c09aa5d2d3d29a3fc80
https://doi.org/10.1007/s11664-020-08704-8
https://doi.org/10.1007/s11664-020-08704-8
Publikováno v:
Measurement. 144:234-242
Both pore parameters and elastic properties are important for the elements manufactured by the Selective Laser Melting (SLM) technology; however, their measurements are usually destructive and time-consuming. Thus, the ultrasonic longitudinal and tra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::41a7e4b7ac56bda6823135f14824e715
https://doi.org/10.1016/j.measurement.2019.04.052
https://doi.org/10.1016/j.measurement.2019.04.052
Publikováno v:
Ultrasonics. 117
Subwavelength ultrasonic imaging (SUI) can detect subwavelength flaws beyond the diffraction limit, however, SUI sometimes fails to clearly reveal flaws in C-scans when the signal-to-noise ratio (SNR) is low. In this work, a convolutional neural netw
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::37b6ed34a4782ada27ccb93d4353d9d1
https://pubmed.ncbi.nlm.nih.gov/34411873
https://pubmed.ncbi.nlm.nih.gov/34411873
Publikováno v:
Insight - Non-Destructive Testing and Condition Monitoring. 59:603-608
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c8b3ed8d9e029bceaf5738e97b7c7d41
https://doi.org/10.1784/insi.2017.59.11.603
https://doi.org/10.1784/insi.2017.59.11.603
Publikováno v:
Ultrasonics. 98
Diffuse ultrasonic backscatter measurements have been shown to enhance the detection capability of sub-wavelength flaws when combined with extreme value statistics. However, for a normal-incidence immersion measurement, a “dead zone” created by t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::54a60fef772b10c23e55da146bcf279c
https://pubmed.ncbi.nlm.nih.gov/31170544
https://pubmed.ncbi.nlm.nih.gov/31170544
Publikováno v:
Optik. 223:165269
In order to perform precise quantitative detection of internal minor defects in additive manufacturing of metal materials based on industrial CT, a quantitative detection method for minor defects in metal materials based on gray-scale variation coeff
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a4bc14ca33f56de7e0457a621fe872e6
https://doi.org/10.1016/j.ijleo.2020.165269
https://doi.org/10.1016/j.ijleo.2020.165269
Publikováno v:
NDT & E International. 72:25-32
An evaluation model based on the multi-scale ultrasonic attenuation coefficient was developed to control both systematic error and random error. AISI 304 stainless steel was used to validate the presented model. Wavelet transformation was used to obt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::228df05f52072ada416b1a30903970da
https://doi.org/10.1016/j.ndteint.2015.02.002
https://doi.org/10.1016/j.ndteint.2015.02.002