The effect of P+ deep well doping on SET pulse propagation

Qin, Jun-Rui; Chen, Shuming; Liu, Biwei; Liu, Fanyu; Chen, Jianjun

doi:10.1007/s11431-011-4644-1

Cited by 9 publications

(2 citation statements)

References 17 publications

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“…Therefore, the real-time detection of the welding process is the prerequisite for the automatic welding [3]. It is one of the most difficult problems in acquiring the deviation when the laser deviated the weld seam [4] .This paper provides a new way to extract the weld deviation parameters of the molten pool, which will be helpful to deeply study on the analysis of welding qulity and the welding control of laser deep penetration welding.…”

Section: Introductionmentioning

confidence: 99%

Weld Seam Deviation Detection Base on Laser Welding Pool’s Centroid

Zhen

2013

AMR

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For detecting weld seams deviation during the industrial actual welding process, IPG YLR-10000 high power fiber laser welding equipment was used during laser welding experiments. A high-speed near-infrared camera was used to capture the dynamic welding pool image sequences. Through studying the change of the features of near-infrared images of the weld pool when the laser beam deviated the weld seam, the centroid of the welding pool could be used as the deviated parameter of the weld seam. The welding pool images coordinates were established, and the ways of rotating and shifting the coordinates were used to build a model to test the welding spots deviation. Finally, the model of the relationship of the actual weld seam deviation and the tested weld seam deviation had been set up by using the regression analysis method. Its validity and feasibility had been tested by analyzing the models correlation R parameters.

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Section: Introductionmentioning

confidence: 99%

Weld Seam Deviation Detection Base on Laser Welding Pool’s Centroid

Zhen

2013

AMR

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“…Therefore, the real-time detection of the welding process is the prerequisite for the automatic welding [3]. It is one of the most difficult problems in acquiring coaxial image that the coaxial signal of molten pool and keyhole must be separated from the laser beam with high power [4] .This paper provides a new way to extract the parameters of the molten pool and the keyhole, which will be helpful to deeply study on the analysis of welding qulity and the welding control of laser deep penetration welding.…”

Section: Introductionmentioning

confidence: 99%

Extraction of Molten Pool and Keyhole Characteristics during High Power Fiber Laser Welding

Zhen

Gao

2012

AMR

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It is well known that weld pool geometry plays a critical role in laser welding. In this study, an IPG YLR-10000 device was used to capture a series of molten pool images during high power fiber laser welding process. Then an extraction method of the geometric characteristics of these images was developed. This method could be applied to monitor the configuration of a molten pool and keyhole which was related to welding quality. The experimental results showed that this method was a reliable inspection method for monitoring the configuration of molten pool during high power fiber laser welding.

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Modeling to predict the time evolution of negative bias temperature instability (NBTI) induced single event transient pulse broadening

Chen

Chi

et al. 2012

Sci. China Technol. Sci.

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The effect of P+ deep well doping on SET pulse propagation

Cited by 9 publications

References 17 publications

Weld Seam Deviation Detection Base on Laser Welding Pool’s Centroid

Weld Seam Deviation Detection Base on Laser Welding Pool’s Centroid

Extraction of Molten Pool and Keyhole Characteristics during High Power Fiber Laser Welding

Modeling to predict the time evolution of negative bias temperature instability (NBTI) induced single event transient pulse broadening

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