Experimental and statistical study on kerf taper angle during CO2 laser cutting of thermoplastic material

Varsi, Arif M.; Shaikh, Abdul Hafiz

doi:10.2351/1.5087846

Cited by 19 publications

(16 citation statements)

References 32 publications

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“…In the literature, the kerf geometry during the laser cutting of PMMA has been also studied. Varsi and Shaikh [16] investigated cutting PMMA samples of 8 mm thickness with a CO 2 laser (0-25 W). They examined the impact of the LP, cutting speed, and several passes on the kerf taper angle.…”

Section: Introductionmentioning

confidence: 99%

The Impact of Process Parameters on Surface Roughness and Dimensional Accuracy during CO2 Laser Cutting of PMMA Thin Sheets

Ninikas

Kechagias

Salonitis

2021

JMMP

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This study investigated the impact of the laser speed and power, and the position and orientation of the samples, on the average surface roughness (Ra) and dimensional accuracy (DA) during CO2 laser cutting of polymethyl methacrylate (PMMA) thin sheets. A mixed five-parameter fractional factorial design was applied, and thirty-six measurements for the Ra and DA were obtained. The experimental results were analysed using ANOM diagrams, ANOVA analysis and interaction plots of all parameters. It was concluded that the laser speed is the critical parameter for both surface roughness and dimensional accuracy, resulting in strong interactions with laser power and positioning parameters. It was also shown that Ra values are affected by the orientation of the specimen and can be minimized when the samples are aligned in the laser travel direction. Finally, it was proved that lower laser speed improves the average roughness but reduces the dimensional accuracy.

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Section: Introductionmentioning

confidence: 99%

The Impact of Process Parameters on Surface Roughness and Dimensional Accuracy during CO2 Laser Cutting of PMMA Thin Sheets

Ninikas

Kechagias

Salonitis

2021

JMMP

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“…Concluding, all the above investigations studied theoretically or experimentally the kerf characteristics of the thermoplastic PMMA thin plates (3-12mm) within the following laser power and velocity ranges: (i) miniaturised structures: power bellow 2.5W and velocity up to 64mm/s [18], or power between 13-23W and velocities between 202-586mm/s [16]; (ii) Thin plate cutting with power higher than 100W and velocities up to 150mm/s [19,1,17,21,22,15,24], or power between 20-40W and velocities between 2-18mm/s [8,23]. The kerf characteristics that measured were: (i) average surface roughness between 1-15µm, (ii) kerf widths (top and bottom) between 0.1 to 1.5mm, (iii) kerf angle between 0-2( o ), and (iv) HAZ depth between 0.1-0.33mm.…”

Section: Introductionmentioning

confidence: 99%

“…Kerf width is one of the most studied factors for the laser cutting quality performance [14][15][16] of thin thermoplastic materials and is affected by a number of process parameters such as the focusing distance, spot diameter, cutting speed and laser power [2]. A wide experimental range of laser power and cutting speed values has been investigated in the literature [17][18][19].…”

Section: Introductionmentioning

confidence: 99%

“…The impact of the spot diameter (focal length 200-210mm), laser beam speed and incident power during PMMA miniaturised structures processed by a low power CO 2 laser (50W, Gaussian continuous wave, minimum spot radius about 0.25mm) have been investigated experimentally by Romoli et al [3]. By incorporating an analytical model for the depth of cut and an empirical model for the width, the laser power and speed were optimized, achieving depths between 0.05 and 0.6mm as well as various widths from 0.15 to 0.4mm Varsi and Shaikh [16] used a low power CO 2 laser (25W, Gaussian, continuous) for cutting 8mm thick PMMA plates. A three-parameter, ve-level full factorial experimental design has been applied to investigate the impact of the power (13-23W), speed (202-586mm/s), and a number of passes (1-5) on kerf angle.…”

Section: Introductionmentioning

confidence: 99%

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A generalised approach on kerf geometry prediction during CO2 laser cut of PMMA thin plates using neural networks

Kechagias

Ninikas

Stavropoulos

et al. 2021

Preprint

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This study presents an application of feedforward and backpropagation neural network (FFBP-NN) for predicting the kerf characteristics, i.e. the kerf width in three different distances from the surface (upper, middle and down) and kerf angle during laser cutting of PMMA thin plates. Stand-off distance, cutting speed and beam power are the studied parameters for the case of low power CO2 laser cutting. A three-parameter three-level full factorial array has been used and twenty-seven (33) cuts were performed. Subsequently, the kerf width and angle were measured and analysed through ANOM, ANOVA and interaction plots. The statistical analysis highlighted that linear modeling is insufficient for the precise prediction of kerf characteristics. A FFBP-NN was developed, trained, validated and generalised for the accurate prediction of the kerf geometry. The FFBP-NN achieved an R-sq value of 0.98, in contrast to the ANOVA linear models which achieved a value of about 0.90.

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“…En general, caen en 2 grupos principales: los termoplásticos (polietileno (PE), policarbonato (PC), polimetilmetacrilato (PMMA) (acrílico), cloruro de polivinilo (PVC)) y plásticos-termoendurecibles, que incluyen resinas epoxi y fenólicas [1]. Por otro lado, se desarrolló un modelo teórico para estimar la profundidad de corte con la velocidad de corte y la potencia del láser para varios materiales [2]. La optimización del proceso de corte para PVC y Acrílico está influenciada por diferentes parámetros como la potencia del láser, el tipo y la presión del gas auxiliar, el espesor, la velocidad de corte y el modo de operación (onda continua o modo pulsado) [3].…”

Section: Introductionunclassified

Optimización de parámetros del proceso de corte con láser para Polimetilmetacrilato y Policloruro de vinilo

Avila

Moya-Moya

Barreno-Avila

2020

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INTRODUCCIÓN. El corte láser es un método preciso para cortar un diseño de un material determinado utilizando como guía un archivo de un diseño asistido por computadora (CAD). Los parámetros de corte por láser son determinantes principales para una característica de calidad. No obstante, existen limitaciones como: tamaño del haz, costo de instalación y reemplazo, accesorios adicionales costosos y la disponibilidad de trabajadores calificados. OBJETIVO. Indagar la influencia de las variables espesor, velocidad y potencia de corte sobre la toleracia, variación dimensional y rugosidad del elemento a prueba en dos polímeros distintos. MÉTODO. Se utilizó el arreglo ortogonal Taguchi L8 y posteriormente ANOVA. RESULTADOS. Para PVC con espesores de 0.8 y 2 mm, la rugosidad óptima fue 4.709 y 1.377 μm, respectivamente. Mientras que la rugosidad del acrílico fue de 0.523 y 0.261 μm correspondientes para espesores de 2 y 5 mm. Por otro lado, a partir de una potencia de 100 w y velocidad de corte de 4 mm/s, la variable de respuesta analizada decrece. Los niveles bajos de las variables de control en acrílico, brindan mejores atributos a las variables de respuesta. DISCUSIÓN Y CONCLUSIONES. El aumento de espesor de ambos materiales (PVC y Acrílico) mejora la calidad superficial y estadísticamente se sustenta la disminución de la rugosidad.

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Experimental and statistical study on kerf taper angle during CO2 laser cutting of thermoplastic material

Cited by 19 publications

References 32 publications

The Impact of Process Parameters on Surface Roughness and Dimensional Accuracy during CO2 Laser Cutting of PMMA Thin Sheets

The Impact of Process Parameters on Surface Roughness and Dimensional Accuracy during CO2 Laser Cutting of PMMA Thin Sheets

A generalised approach on kerf geometry prediction during CO2 laser cut of PMMA thin plates using neural networks

Optimización de parámetros del proceso de corte con láser para Polimetilmetacrilato y Policloruro de vinilo

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