Abstract
This paper investigates high power CO2 laser cutting of 5mm-thick Ti-6Al-4V titanium alloy sheets, aiming to evaluate the effects of various laser cutting parameters on surface roughness. Using multiple linear regression, a mathematical model based on experimental data was proposed to predict the maximum height of the surface Sz as a function of two laser cutting parameters, namely cutting speed and assist-gas pressure. The adequacy of the proposed model was validated by Analysis Of Variance (ANOVA). Experimental data were compared with the model’s data to verify the capacity of the proposed model. The results indicated that for fixed laser power, cutting speed is the predominant cutting parameter that affects the maximum height of surface roughness.
Highlights
Titanium alloys, including Ti-6Al-4V, are characterized by good mechanical and chemical properties such as high tensile strength and toughness, excellent resistance to corrosion and oxidation, light weight, resistance to extreme temperatures, and high strength-to-weight ratio
The effects of cutting speed V and assist-gas pressure p on the maximum height of surface roughness Sz are illustrated in Figures 3 and 4 respectively
The initial slight increase and levelling off of Sz with an increase in p that was obtained is consistent with the results described in [33], where the roughness of 304 stainless steel increased as gas pressure increased
Summary
Titanium alloys, including Ti-6Al-4V, are characterized by good mechanical and chemical properties such as high tensile strength and toughness, excellent resistance to corrosion and oxidation, light weight, resistance to extreme temperatures, and high strength-to-weight ratio As a result, they are increasingly used in aerospace, spacecraft, automotive, biomedical, chemical and petrochemical, offshore oil and gas, water desalination, and power generation industries [1,2,3,4,5,6,7,8]. The quality of laser cutting, such as surface roughness, depends on many parameters such as thermal and optical properties of the material, laser power, cutting speed, type and pressure of the assist gas [13,14, 16, 22]. The maximum height of the surface was investigated as a function of two laser cutting parameters, cutting speed and assist-gas pressure. An analytical model was developed using multiple linear regression and ANOVA analyses to predict the variation of Sz as a function of these parameters
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