An investigation of quality in CO2 laser cutting of aluminum

Stournaras, Aristidis; Stavropoulos, Panagiotis; Salonitis, Konstantinos; Chryssolouris, George

doi:10.1016/j.cirpj.2009.08.005

Cited by 113 publications

(36 citation statements)

References 19 publications

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“…thermal diffusivity of the base material, laser power, cutting speed, and pulse width. Stournaras et al [16] found that laser power and cutting speed were the most important parameters in determining the size of HAZ. Higher laser power combined with lower cutting speed resulted in extended HAZ due to the fact that more heat accumulated within the workpiece.…”

Section: Nd:yag Laser Cutting Nitinolmentioning

confidence: 99%

Statistical characteristics of surface integrity by fiber laser cutting of Nitinol vascular stents

Liu

Guo

2015

Applied Surface Science

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Section: Nd:yag Laser Cutting Nitinolmentioning

confidence: 99%

Statistical characteristics of surface integrity by fiber laser cutting of Nitinol vascular stents

Liu

Guo

2015

Applied Surface Science

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“…Aluminium alloys are widely used in aeronautical and automotive industries but their highly reflective nature poses difficulty during laser cutting. Some attempts on optimisation of kerf quality (Dubey and Yadava 2008a, b), surface roughness and HAZ (Stournaras et al 2009) for laser cutting of aluminium alloy have been taken up using TM. But no such study on soft computing application has been observed.…”

Section: Introductionmentioning

confidence: 99%

Multi-objective optimisation of pulsed Nd:YAG laser cutting process using integrated ANN–NSGAII model

et al. 2015

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The paper presents an integrated model of artificial neural networks (ANNs) and non-dominated sorting genetic algorithm (NSGAII) for prediction and optimization of quality characteristics during pulsed Nd:YAG laser cutting of aluminium alloy. A full factorial experiment has been conducted where cutting speed, pulse energy and pulse width are considered as controllable input parameters with surface roughness and material removal rate as output to generate the dataset for the model. In ANN-NSGAII model, back propagation ANN trained with Bayesian regularization algorithm is used for prediction and computation of fitness value during NSGAII optimization. NSGAII generates complete set of optimal solution with pareto-optimal front for outputs. Prediction accuracy of ANN module is indicated by around 1.5 % low mean absolute % error. Experimental validation of B Sudipto Chaki sudipto_chaki@yahoo.co.in Ravi N. Bathe optimized output results less than 1 % error only. Characterization of the process parameters in pareto-optimal region has been explained in detail. Significance of controllable parameters of laser on outputs is also discussed.

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“…For laser cutting of stainless steel and plastics there are similar influences of laser cutting speed, power of laser beam as well as purity or pressure of assist gas like for the cutting sheets made of the carbon steel. The better surface roughness is for a quantum laser than for a CO2 gas laser cutter at the same cutting parameters [13][14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30][31] .…”

Section: Introductionmentioning

confidence: 99%

Analysis of laser cutting speed influence on the surface quality and shape deviation of steel parts

Kowalczyk

Zębala

2014

SPIE Proceedings

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The results of laser cutting speed influence on the quality of machined surface, defined by the Ra roughness parameter and the shape errors, in case of machining two types of steel: i) P265GH, ii) 1.4307 are presented in the paper. Two CO2 laser cutters with maximum power of the laser beam 4000W and 3200W were used for the investigation. The characteristics of the roughness parameter Ra depending on the laser cutting speed v c are presented. The diagrams of shape deviation of the machined specimens for the greatest and lowest values of the Ra for the both laser cutters are also presented. The deviation values from the theoretical profile of the particular samples, taking into account the type of the cut-out shape profiles (circular, linear) are calculated.

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An investigation of quality in CO2 laser cutting of aluminum

Cited by 113 publications

References 19 publications

Statistical characteristics of surface integrity by fiber laser cutting of Nitinol vascular stents

Statistical characteristics of surface integrity by fiber laser cutting of Nitinol vascular stents

Multi-objective optimisation of pulsed Nd:YAG laser cutting process using integrated ANN–NSGAII model

Analysis of laser cutting speed influence on the surface quality and shape deviation of steel parts

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