Online Monitoring of PVT SiC Bulk Crystal Growth Using Digital X-Ray Imaging

ABSTRACTAn advanced method based on x-ray imaging is presented which allows us to visualize the ongoing processes during physical vapor transport (PVT) growth of SiC. Using a high resolution and high speed x-ray imaging detector based on image plates and digital recording we are able to follow the SiC bulk single crystal growth as well as the evolution of the SiC powder source inside the inductively heated graphite crucible on-line and quasi-continuously.

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High-efficiency fast X-ray imaging detector development at SSRF

Journal of Synchrotron Radiation ◽

10.1107/s1600577519010075 ◽

2019 ◽

Vol 26 (5) ◽

pp. 1631-1637

Author(s):

Honglan Xie ◽

Hongxin Luo ◽

Guohao Du ◽

Chengqiang Zhao ◽

Wendong Xu ◽

...

Keyword(s):

High Speed ◽

High Efficiency ◽

Sampling Rate ◽

Coupling Efficiency ◽

Numerical Aperture ◽

X Ray ◽

Temporal Sampling ◽

X Ray Imaging ◽

Imaging Detector ◽

Working Distance

Indirect X-ray imaging detectors consisting of scintillator screens, long-working-distance microscope lenses and scientific high-speed complementary metal-oxide semiconductor (CMOS) cameras are usually used to realize fast X-ray imaging with white-beam synchrotron radiation. However, the detector efficiency is limited by the coupling efficiency of the long-working-distance microscope lenses, which is only about 5%. A long-working-distance microscope lenses system with a large numerical aperture (NA) is designed to increase the coupling efficiency. It offers an NA of 0.5 at 8× magnification. The Mitutoyo long-working-distance microscope lenses system offers an NA of 0.21 at 7.5× magnification. Compared with the Mitutoyo system, the developed long-working-distance microscope lenses system offers about twice the NA and four times the coupling efficiency. In the indirect X-ray imaging detector, a 50 µm-thick LuAG:Ce scintillator matching with the NA, and a high-speed visible-light CMOS FastCAM SAZ Photron camera are used. Test results show that the detector realized fast X-ray imaging with a frame rate of 100000 frames s−1 and fast X-ray microtomography with a temporal sampling rate up to 25 Hz (25 tomograms s−1).

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Measurement of the parameters of a linear CCD structure as a one-dimensional X-ray imaging detector

Nuclear Instruments and Methods in Physics Research ◽

10.1016/0167-5087(83)91163-8 ◽

1983 ◽

Vol 208 (1-3) ◽

pp. 427-433 ◽

Cited By ~ 8

Author(s):

M.G. Fedotov ◽

E.A. Kuper ◽

V.N. Litvinenko ◽

V.E. Panchenko ◽

V.A. Ushakov

Keyword(s):

One Dimensional ◽

X Ray ◽

Linear Ccd ◽

X Ray Imaging ◽

Imaging Detector

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Revealing transient powder-gas interaction in laser powder bed fusion process through multi-physics modeling and high-speed synchrotron x-ray imaging

Additive Manufacturing ◽

10.1016/j.addma.2020.101362 ◽

2020 ◽

Vol 35 ◽

pp. 101362 ◽

Cited By ~ 1

Author(s):

Xuxiao Li ◽

Cang Zhao ◽

Tao Sun ◽

Wenda Tan

Keyword(s):

High Speed ◽

Fusion Process ◽

Powder Bed Fusion ◽

Laser Powder Bed Fusion ◽

Powder Bed ◽

X Ray ◽

X Ray Imaging ◽

Physics Modeling

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Evaluation of an X-ray imaging detector based on a CMOS camera with logarithmic response

Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment ◽

10.1016/s0168-9002(00)00759-2 ◽

2001 ◽

Vol 457 (1-2) ◽

pp. 270-278 ◽

Cited By ~ 8

Author(s):

Cyril Ponchut

Keyword(s):

Cmos Camera ◽

X Ray ◽

X Ray Imaging ◽

Imaging Detector

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UFO — a scalable platform for high-speed synchrotron X-ray imaging

2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop (NSS/MIC/RTSD) ◽

10.1109/nssmic.2016.8069895 ◽

2016 ◽

Author(s):

Andreas Kopmann ◽

Suren Chilingaryan ◽

Matthias Vogelgesang ◽

Timo Dritschler ◽

Andrey Shkarin ◽

...

Keyword(s):

High Speed ◽

X Ray ◽

X Ray Imaging

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syris: a flexible and efficient framework for X-ray imaging experiments simulation

Journal of Synchrotron Radiation ◽

10.1107/s1600577517012255 ◽

2017 ◽

Vol 24 (6) ◽

pp. 1283-1295 ◽

Cited By ~ 4

Author(s):

Tomáš Faragó ◽

Petr Mikulík ◽

Alexey Ershov ◽

Matthias Vogelgesang ◽

Daniel Hänschke ◽

...

Keyword(s):

Motion Estimation ◽

Data Processing ◽

Graphics Processing Units ◽

High Speed ◽

Real Data ◽

Estimation Accuracy ◽

Processing Parameter ◽

X Ray ◽

X Ray Imaging ◽

Imaging Conditions

An open-source framework for conducting a broad range of virtual X-ray imaging experiments,syris, is presented. The simulated wavefield created by a source propagates through an arbitrary number of objects until it reaches a detector. The objects in the light path and the source are time-dependent, which enables simulations of dynamic experiments,e.g.four-dimensional time-resolved tomography and laminography. The high-level interface ofsyrisis written in Python and its modularity makes the framework very flexible. The computationally demanding parts behind this interface are implemented in OpenCL, which enables fast calculations on modern graphics processing units. The combination of flexibility and speed opens new possibilities for studying novel imaging methods and systematic search of optimal combinations of measurement conditions and data processing parameters. This can help to increase the success rates and efficiency of valuable synchrotron beam time. To demonstrate the capabilities of the framework, various experiments have been simulated and compared with real data. To show the use case of measurement and data processing parameter optimization based on simulation, a virtual counterpart of a high-speed radiography experiment was created and the simulated data were used to select a suitable motion estimation algorithm; one of its parameters was optimized in order to achieve the best motion estimation accuracy when applied on the real data.syriswas also used to simulate tomographic data sets under various imaging conditions which impact the tomographic reconstruction accuracy, and it is shown how the accuracy may guide the selection of imaging conditions for particular use cases.

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