The Effect of Laser Parameters on Cutting Metallic Materials

Son, Seungik; Lee, Dongkyoung

doi:10.3390/ma13204596

Cited by 19 publications

(7 citation statements)

References 27 publications

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“…In the past few years, researchers studied the possibility of cutting with a CO 2 laser of different materials such as methyl polymethacrylate [16], Al 6061-T6 alloy [17], 304 stainless steel [18], AISI 1045 austenitic steel [19], AlSI 304, AlMg3 and St37-2 [20], SS41 and SUS304 [21], pure titanium and Ti-6Al-4V titanium alloys [22], Ti6Al4V alloy [23] and Nickel-based super alloys Nimonic 263 [24].…”

Section: Synthesis Of Literaturementioning

confidence: 99%

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Energy Efficiency in CO2 Laser Processing of Hardox 400 Material

Girdu

Gheorghe

2022

Materials

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The use of laser technology for materials processing has a wide applicability in various industrial fields, due to its proven advantages, such as processing time, economic efficiency and reduced impact on the natural environment. The expansion of laser technology has been possible due to the dynamics of research in the field. One of the directions of research is to establish the appropriate cutting parameters. The evolution of research in this direction can be deepened by determining the efficiency of laser cutting. Starting from such a hypothesis, the study contains an analysis of laser cutting parameters (speed, power and pressure) to determine the linear energy and cutting efficiency. For this purpose, the linear energy and the cutting efficiency were determined analytically, and the results obtained were tested with the Lagrange interpolation method, the statistical mathematical method and the graphical method. The material chosen was Hardox 400 steel with a thickness of 8 mm, due to its numerous industrial applications and the fact that it is an insufficiently studied material. Statistical data processing shows that the maximum cutting efficiency is mainly influenced by speed, followed by laser power. The results obtained reduce energy costs in manufacturing processes that use the CO2 laser. The combinations identified between laser speed and power lead to a reduction in energy consumption and thus to an increase in processing efficiency. Through the calculation relationships established for linear energy and cutting efficiency, the study contributes to the extension of the theoretical and practical basis.

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Section: Synthesis Of Literaturementioning

confidence: 99%

“…Son et al studied the cutting width for sheet metal SS41 and SUS 304. Through the ANOVA procedure, the authors demonstrated that the significant indicators are the cutting speed and the laser power [21]. Savanth et al used a YAG laser to apply a layer of Colmonoy-5 to the surface of carbon steel plates.…”

Section: Synthesis Of Literaturementioning

confidence: 99%

Energy Efficiency in CO2 Laser Processing of Hardox 400 Material

Girdu

Gheorghe

2022

Materials

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“…The success of oxygen or nitrogen cutting depends on the focus distance, which needs to be well adjusted to the upper surface of the metal sheet. On Figure 3 could be seen when cutting with oxygen, the focus must be above the upper surface of the sheet, and when cutting with nitrogen, the focus must be on or slightly above the lower surface of the sheet [8,9].…”

Section: Parameters and Properties Of Cutting With Auxiliary Gasesmentioning

confidence: 99%

Optimization of nitrogen use efficiency in cutting of austenitic stainless steel by a fiber laser

Duspara¹,

Matysiak²,

Vidaković³

et al. 2022

FME Transactions

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In metallurgical processes, metal sheet cutting is usually a basic technological operation that needs to be performed. All other technological operations follow the procedure of metal sheet cutting, with the final aim of manufacturing a final product. Machines used for that basic metal cutting operation shall be reliable, efficient, fast, and relatively easy to work with. While working with a laser, the authors noticed the inefficiency of cutting with nitrogen. Nitrogen bottles got empty too quickly, which caused additional costs. Inefficient, i.e., excessive nitrogen consumption requires a more frequent supply of nitrogen. During the COVID-19 pandemic, nitrogen was not always available, as suppliers shifted to manufacture oxygen bottles for medical needs. Therefore, the authors engaged in finding solutions to reduce the consumption of nitrogen at cutting. The mentioned problem was studied within the experiment that focused on the optimization of nitrogen use during fiber laser cutting, the procedure, and results of which are described in this paper. Specimens of different cutting parameters were prepared and cut to measure their roughness and burr height. The collected data were used to create a mathematical model with an ANOVA table. The experiment resulted in the determination of optimal cutting parameters achieved by the lowest possible cutting gas pressure.

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“…Selecting the most suitable parameter settings becomes one of the most practically essential tasks to improve product quality and productivity simultaneously in laser cutting. e effect of laser control factors on the material should be treated as an essential issue in order to increase product quality and productivity [1]. Pradhan and Biswas research examined the impacts of the power factor, including discharge current and applied voltage, on the surface roughness of metallic inputs [2].…”

Section: Introductionmentioning

confidence: 99%

Optimization of Process Parameters for Laser Cutting Process of Stainless Steel 304: A Comparative Analysis and Estimation with Taguchi Method and Response Surface Methodology

Nguyen

Altarazi

Thanh

2022

Mathematical Problems in Engineering

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The research presents an analysis and comparison of the Taguchi Design and Response Surface Methodology (RSM) in optimizing the laser cutting machine parameters on dimension accuracy for stainless steel products. The paper studies effects of input factors such as cutting speed, nitrogen pressure, power, and frequency on the quality cutting of stainless steel (304) specimens. In this paper, two objectives are examined: targeting laser-cut edge to perpendicular 90 degrees and maximizing the cutting accuracy. The paper proposes a simple formula to optimize both targets by minimizing one new function definition, i.e., dimensional error. An L9 orthogonal array of Taguchi Methodology is adopted to minimize the number of experiments and shorten analysis time to achieve the optimal parameters. These results are compared with RSM. Box–Behnken Design (BBD) type of RSM requires more experiments than the Taguchi approach. RSM regression models as the quadratic functions of the control factors are developed to minimize the dimensional error of cutting products. Then, Analysis of Variance (ANOVA) and graphs will be analyzed to determine the influences of variables on the responses. Both Taguchi’s method and RSM found that the most influential factor on dimension accuracy is cutting speed, followed by laser power. While Taguchi provides good graphic visualization for quickly predicting the optimum condition, it cannot examine the interaction effects as RSM due to the lack of data. Besides, RSM reveals the percentage contribution of factors on dimensional error. Cutting speed has a maximum contribution, i.e., 39% of the total. The interaction of cutting speed and power contributes 16% of the total. In this study, RSM can predict optimum conditions more accurately than Taguchi. There are misleading results from the Taguchi method compared with RSM. However, the difference between these objective values is insignificant. The validation experiments show that the Taguchi method can be a practical approach for optimization problems. It can help reduce cost and time and achieve the desired optimal outputs. With cutting problems requiring high precision, the RSM method is highly recommended for identifying optimal parameter settings and interaction effects. With problems that their experimental runs consume high cost and time, Taguchi can be a suitable method for screening the significant variables. Although Taguchi and RSM are used widely for optimization problems in many fields, choosing the right methodology for various objectives is still a concern with different arguments and needs further research. Therefore, this study could be an adequate reference for parameter optimization problems in various fields.

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The Effect of Laser Parameters on Cutting Metallic Materials

Cited by 19 publications

References 27 publications

Energy Efficiency in CO2 Laser Processing of Hardox 400 Material

Energy Efficiency in CO2 Laser Processing of Hardox 400 Material

Optimization of nitrogen use efficiency in cutting of austenitic stainless steel by a fiber laser

Optimization of Process Parameters for Laser Cutting Process of Stainless Steel 304: A Comparative Analysis and Estimation with Taguchi Method and Response Surface Methodology

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