Quality analysis measurement for laser cutting

Roggero, G.; Scotti, Fabio; Sessa, F.S.; Piuri, Vincenzo

doi:10.1109/vims.2001.924898

Cited by 5 publications

(1 citation statement)

References 6 publications

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“…The governing equations were solved for both constant and variable thermophysical properties using a finite-difference method on a boundary-fitted coordinate system. An evaluation of the radiation beam cutting quality was also addressed by Rogerro et al [73], whose method is a combination of neural networks and traditional algorithmic techniques. Bianco et al [74] used COMSOL Multiphysics 3.2 software to solve a transient two-and three-dimensional temperature field irradiated by a beam of radiation.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Parameters for the Cutting of Wood-Based Materials by a CO2 Laser

et al. 2020

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This article deals with the laser cutting of wood and wood composites. The laser cutting of wood and wood composites is widely accepted and used by the wood industry (due to its many advantages compared to, e.g., saw cutting). The goal of this research was to optimize the cutting parameters of spruce wood (Pices abies L.) by a low-power CO2 laser. The influence of three factors was investigated, namely, the effect of the laser power (100 and 150 W), cutting speed (3, 6, and 9 mm·s−1), and number of annual rings (3–11) on the width of the cutting kerf on the top board, on the width of the cutting kerf on the bottom board, on the ratio of the cutting kerf width on the top and bottom of the board, on the width of the heat-affected area on both sides of the cutting kerf (this applies to the top and bottom of the board), and on the degree of charring. Analysis of variance (ANOVA) and correlation and regression analysis were used for developing a linear regression model without interactions and a quadratic regression model with quadratic interactions. Based on the developed models, the optimization of parameter settings of the investigated process was performed in order to achieve the final kerf quality. The improvement in the quality of the part ranged from 3% to more than 30%. The results were compared with other research dealing with the laser cutting of wood and wood composites.

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Section: Introductionmentioning

confidence: 99%

Optimization of Parameters for the Cutting of Wood-Based Materials by a CO2 Laser

et al. 2020

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Toward real-time quality analysis measurement of metal laser cutting

Alippi

Bono

Piuri

et al.

2002 IEEE International Symposium on Virtual and Intelligent Measurement Systems (IEEE Cat. No.02EX545)

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Quality detection and control during laser cutting progress with coaxial visual monitoring

Wen

Zhang

Chen

2012

Journal of Laser Applications

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A system of coaxial visual detection and closed-loop control is developed in laser cutting to automatically optimize cutting speed to obtain best cutting quality. The sparks behavior is observed under different cutting speeds by side visual monitoring. It is proved that the maximum number of pixels of various radiation brightness ranges of the coaxially detected sparks corresponds to the optimal cutting speed, represented by the lowest bottom roughness on cut face. By coaxial visual monitoring of cutting front and sparks, the standard deviations of shape parameters of cutting front and the average length of certain brightness range of sparks are, respectively, used as the signals for cutting defects and the bottom roughness. The results show that the optimal cutting speed for free defect and low bottom roughness could be determined and kept on-line by the developed system.

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Quality analysis measurement for laser cutting

Cited by 5 publications

References 6 publications

Optimization of Parameters for the Cutting of Wood-Based Materials by a CO2 Laser

Optimization of Parameters for the Cutting of Wood-Based Materials by a CO2 Laser

Toward real-time quality analysis measurement of metal laser cutting

Quality detection and control during laser cutting progress with coaxial visual monitoring

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