scholarly journals Real-Time Defects Analyses Using High-Speed Imaging during Aluminum Magnesium Alloy Laser Welding

Metals ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. 1877
Author(s):  
Sabin Mihai ◽  
Diana Chioibasu ◽  
Muhammad Arif Mahmood ◽  
Liviu Duta ◽  
Marc Leparoux ◽  
...  
Keyword(s):  
Real Time ◽  
High Speed ◽  
Yttrium Aluminum Garnet ◽  
Continuous Wave ◽  
Threshold Value ◽  
High Speed Imaging ◽  
Vapor Plume ◽  
Imaging Camera ◽  
Microscopy Images

In this study a continuous wave Ytterbium-doped Yttrium Aluminum Garnet (Yb: YAG) disk laser has been used for welding of AlMg3 casted alloy. A high-speed imaging camera has been employed to record hot vapor plume features during the process. The purpose was to identify a mechanism of pores detection in real-time based on correlations between metallographic analyses and area/intensity of the hot vapor in various locations of the samples. The pores formation and especially the position of these pores had to be kept under control in order to weld thick samples. Based on the characterization of the hot vapor, it has been found that the increase of the vapor area that exceeded a threshold value (18.5 ± 1 mm2) was a sign of pores formation within the weld seam. For identification of the pores’ locations during welding, the monitored element was the hot vapor intensity. The hot vapor core spots having a grayscale level reaching 255 was associated with the formation of a local pore. These findings have been devised based on correlation between pores placement in welds cross-section microscopy images and the hot vapor plume features in those respective positions.

Combined Characterization of Free-Moving Particles in HVDC-GIS Using UHF PD, High-Speed Imaging, and Pulse-Sequence Analysis

2019 ◽  
Vol 34 (4) ◽  
pp. 1540-1548 ◽  
Author(s):  
Philipp Wenger ◽  
Michael Beltle ◽  
Stefan Tenbohlen ◽  
Uwe Riechert ◽  
Glenn Behrmann
Keyword(s):  
Sequence Analysis ◽  
High Speed ◽  
Pulse Sequence ◽  
High Speed Imaging

scholarly journals In-situ characterization of laser-powder interaction and cooling rates through high-speed imaging of powder bed fusion additive manufacturing

2017 ◽  
Vol 135 ◽  
pp. 385-396 ◽  
Author(s):  
Umberto Scipioni Bertoli ◽  
Gabe Guss ◽  
Sheldon Wu ◽  
Manyalibo J. Matthews ◽  
Julie M. Schoenung
Keyword(s):  
Additive Manufacturing ◽  
High Speed ◽  
Powder Bed Fusion ◽  
In Situ Characterization ◽  
High Speed Imaging ◽  
Cooling Rates ◽  
Powder Bed

602 Label-free, high-speed imaging with real-time CARS microscope

2008 ◽  
Vol 2008.83 (0) ◽  
pp. _6-2_
Author(s):  
Takeo MINAMIKAWA ◽  
Mamoru HASHIMOTO ◽  
Tsutomu ARAKI
Keyword(s):  
Real Time ◽  
High Speed ◽  
Label Free ◽  
High Speed Imaging

Nanomanipulator Based on a High-Speed Atomic Force Microscopy

2012 ◽  
Vol 516 ◽  
pp. 396-401
Author(s):  
Itsuhachi Ishisaki ◽  
Yuya Ohashi ◽  
Tatsuo Ushiki ◽  
Futoshi Iwata
Keyword(s):  
Atomic Force Microscopy ◽  
Real Time ◽  
High Speed ◽  
Imaging Technique ◽  
Frame Rate ◽  
High Speed Imaging ◽  
Contact Mode ◽  
Force Microscopy ◽  
Atomic Force ◽  
Short Time

We developed a real-time nanomanipulation system based on high-speed atomic force microscopy (HS-AFM). During manipulation, the operation of the manipulation is momentarily interrupted for a very short time for high-speed imaging; thus, the topographical image of the fabricated surface is periodically updated during the manipulation. By using a high-speed imaging technique, the interrupting time could be much reduced during the manipulation; as a result, the operator almost does not notice the blink time of the interruption for imaging during the manipulation. As for the high-speed imaging technique, we employed a contact-mode HS-AFM to obtain topographic information through the instantaneous deflection of the cantilever during high-speed scanning. By using a share motion PZT scanner, the surface could be imaged with a frame rate of several fps. Furthermore, the high-speed AFM was coupled with a haptic device for human interfacing. By using the system, the operator can move the AFM probe into any position on the surface and feel the response from the surface during manipulation. As a demonstration of the system, nanofabrication under real-time monitoring was performed. This system would be very useful for real-time nanomanipulation and fabrication of sample surfaces.

Spray Characterization of a Slinger Injector Using a High-Speed Imaging Technique

2018 ◽  
Vol 34 (2) ◽  
pp. 469-481 ◽  
Author(s):  
S. Rezayat ◽  
M. Farshchi ◽  
H. Karimi ◽  
A. Kebriaee
Keyword(s):  
High Speed ◽  
Imaging Technique ◽  
High Speed Imaging ◽  
Spray Characterization

scholarly journals Railway Track Recognition Based on Radar Cross-Section Statistical Characterization Using mmWave Radar

2022 ◽  
Vol 14 (2) ◽  
pp. 294
Author(s):  
Shuo Li ◽  
Jieqiong Ding ◽  
Weirong Liu ◽  
Heng Li ◽  
Feng Zhou ◽  
...  
Keyword(s):  
Real Time ◽  
High Speed ◽  
Continuous Wave ◽  
Great Influence ◽  
Railway Track ◽  
Support Vector ◽  
Data Set ◽  
Statistical Characterization ◽  
Wave Radar ◽  
Track Surface

The track settlement has a great influence on the safe operation of high-speed trains. The existing track settlement measurement approach requires sophisticated or expensive equipments, and the real-time performance is limited. To address the issue, an ultra-high resolution track settlement detection method is proposed by using millimeter wave radar based on frequency modulated continuous wave (FMCW). Firstly, by constructing the RCS statistical feature data set of multiple objects in the track settlement measurement environment, a directed acyclic graph-support vector machine (DAG-SVM) based method is designed to solve the problem of track recognition in multi-object scenes. Then, the adaptive chirp-z-transform (ACZT) algorithm is used to estimate the distance between the radar and the track surface, which realizes automatic real-time track settlement detection. An experimental platform has been constructed to verify the effectiveness of the proposed method. The experimental results show that the accuracy of track classification and identification is at least 95%, and the accuracy of track settlement measurement exceeds 0.5 mm, which completely meets the accuracy requirements of the railway system.

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