Modeling and Prediction of Water-Jet-Guided Laser Cutting Depth for Inconel 718 Material Using Response Surface Methodology

Zhao, Chuang; Zhao, Yugang; Zhao, Dandan; Liu, Qian; Meng, Jianbing; Cao, Chen; Zheng, Zhilong; Li, Zhihao; Yu, Hanlin

doi:10.3390/mi14020234

Cited by 2 publications

(1 citation statement)

References 29 publications

(28 reference statements)

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“…The thermal consequences are apparent because of the high cutting temperature and the material's poor thermal conductivity. Moreover, the material undergoes a chemical reaction that affects the cutting force and the surface finish achieved after machining [4]. The tools get worn out faster because of the work's tendency to toughen.…”

Section: Introductionmentioning

confidence: 99%

Parameter optimization and surface integrity aspects in MWCNT-based nano-PMEDM process of Inconel 718

Khatun,

Amin,

Mashuk

et al. 2023

Res. Eng. Struct. Mat.

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This study examines the effects of Inconel 718's Nano PMEDM process parameters on Material Removal Rate (MRR), Tool Wear Rate (TWR), Surface Roughness (SR), and the integrity of surface and subsurface layers. It also examines the concentration of MWCNT nanoparticles in distilled water as a dielectric medium. Peak Current, Pulse on Time, and Powder Concentration were input variables in 20 experimental runs utilizing the Central Composite Design (CCD) of Design of Expert (DOE). To create and evaluate empirical models for MRR, TWR, and SR, response surface methodology (RSM) and ANOVA were used. According to the results of the improved RSM, the best responses for MRR, TWR, and SR are 0.012 g/min, 0.001 g/min, and 5.098 µm, respectively. These were accomplished by cutting parameters of 1.5 g/L for powder concentration, 307.967 s for pulse on time, and 19.925 Amps for peak current. GA optimization produced slightly different optimal values for MRR, TWR, and SR: 0.012 g/min, 0.003 g/min, and 5.229 µm, respectively. 20.178 Amps for Peak Current, 398.753 seconds for Pulse on Time, and 3.66 g/L for Powder Concentration were the suggested ideal cutting conditions for GA optimization. In the validation tests, both the GA-predicted outcomes and RSM-optimized values closely matched the experimental results.

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Section: Introductionmentioning

confidence: 99%

Parameter optimization and surface integrity aspects in MWCNT-based nano-PMEDM process of Inconel 718

Khatun,

Amin,

Mashuk

et al. 2023

Res. Eng. Struct. Mat.

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The Advancement of Waterjet-Guided Laser Cutting System for Enhanced Surface Quality in AISI 1020 Steel Sheets

Paksoy,

Çandar,

Yılmaz

2024

Materials

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This study investigates the effects of a water-guided laser on the cutting performance of AISI 1020 steel sheets of various thicknesses by comparing the results with respect to a conventional laser. For this purpose, a novel nozzle design has been devised enabling the delivery of laser beams to the workpiece conventionally as well as through water guidance. Diverging from prior literature, a fiber laser is used with a high wavelength and a laser power output of 1 kW. Experiments are conducted on steel sheets with thicknesses ranging from 1.5 mm to 3 mm using three different cutting speeds and laser power levels. Analysis focuses on assessing surface roughness, burr formation and heat effects on the cut surfaces for both conventional and waterjet-guided cutting. Surface roughness is evaluated by using a 3D profilometer and cut surfaces are examined through SEM imaging. The results showed that the waterjet-guided laser system greatly reduced surface roughness and minimized problems associated with traditional laser cutting such as kerf, dross adherence and thermal damage. The study revealed that cutting speed had a greater effect on surface roughness reduction than laser power, with the most noticeable differences occurring in thinner sheets. Furthermore, the investigation suggests that the waterjet-guided laser cutting system demonstrates superior performance relative to conventional methods, particularly in surface quality.

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Modeling and Prediction of Water-Jet-Guided Laser Cutting Depth for Inconel 718 Material Using Response Surface Methodology

Cited by 2 publications

References 29 publications

Parameter optimization and surface integrity aspects in MWCNT-based nano-PMEDM process of Inconel 718

Parameter optimization and surface integrity aspects in MWCNT-based nano-PMEDM process of Inconel 718

The Advancement of Waterjet-Guided Laser Cutting System for Enhanced Surface Quality in AISI 1020 Steel Sheets

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