The Study of Quality Monitoring and Control for Laser Cutting Based on Pulse-Induced Acoustic Sound

Hao, Hui; Cheng, Guang He; Xu, Ji Yong

doi:10.4028/www.scientific.net/amm.182-183.422

Cited by 2 publications

(2 citation statements)

References 3 publications

(3 reference statements)

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“…Experimental material is 1mm thick GH3536; the JK702H pulsed Nd: YAG laser is used, the power is 350W, laser beam is TEM00 mode; the exit diameter conical coaxial nozzle is 1mm; the relative distance between lower surface of the nozzle and plate surface is 1mm; the auxiliary gas is argon; the collection of pulse-induced acoustic sound is the same as the reference [11]. The experimental parameters are as follows.…”

Section: Experimental Results and Analysismentioning

confidence: 99%

The Study of Signal Denoising for Laser Cutting Based on Adaptive Wavelet Denoising

Hao¹,

Xu²,

Li³

2012

AMR

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In order to reduce the noise of acquisition signal in laser cutting, an adaptive wavelet denoising method is proposed in this paper. Based on the analysis of the limitations of traditional threshold method, the particle swarm optimization algorithm is used to select the optimal threshold of wavelet. Compared with the commonly hard and soft threshold method, the experiment results show that the method used in this paper is relatively stable, and can reduce noise excellently. The method can provide more accurate signal for quality analysis in laser cutting .So the method can be used in noise denoising of pulse-induced acoustic sound.

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Section: Experimental Results and Analysismentioning

confidence: 99%

The Study of Signal Denoising for Laser Cutting Based on Adaptive Wavelet Denoising

Hao¹,

Xu²,

Li³

2012

AMR

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“…They proved that the optimal cutting speed is ensured when a maximum number of pixels of various radiation brightness ranges were obtained. In addition, Huijuan et al [22] studied the influence of surface roughness during laser cutting. For this purpose, the authors performed pulse-induced acoustic monitoring experiments and the relation obtained between the surface roughness and the cutting velocity was used as an adaptive control strategy.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Photodiode Monitoring in Laser Cutting

Garcia¹,

Ramos²,

Arrizubieta

et al. 2020

Applied Sciences

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The paper presents the results of an analysis based on the photodiode monitoring signals obtained during the laser cutting of aluminum and stainless steel plates. The mean level of the monitoring signal was measured and related to the process parameters and the quality achieved. The investigation was conducted in the visible and infrared spectra simultaneously for each experiment and a similar behavior at both spectra was observed, concluding the existence of a relationship between the monitoring signal, the quality of the performed cut, and the characteristics of the cutting scenario. Both visible and infrared monitoring signals were found not to vary as long as the parameter used values ensuring that the cut quality was good. Nevertheless, their mean values tended to increase as the cutting quality became worse. The measured intensity of the visible spectrum signal was associated with the vapor plume formation during the cutting process, whereas the infrared signal was related to the temperatures reached.

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The Study of Quality Monitoring and Control for Laser Cutting Based on Pulse-Induced Acoustic Sound

Cited by 2 publications

References 3 publications

The Study of Signal Denoising for Laser Cutting Based on Adaptive Wavelet Denoising

The Study of Signal Denoising for Laser Cutting Based on Adaptive Wavelet Denoising

Analysis of Photodiode Monitoring in Laser Cutting

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