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<p>This study examined how various machining parameters affected kerf widths when AISI 1040 steels were cut with a laser beam. The investigation’s findings showed that workpieces cut in geometrically straight lines had smaller kerf widths. From the results of analyses of <i>S</i>/<i>N</i> ratios, the most suitable laser beam processing parameters for AISI 1040 steels were revealed to be straight line cutting geometry, 2700&#xa0;W laser power and 700&#xa0;mm/min cutting speed, respectively. Besides, it was found that the highest kerf width ratio was 14.81% larger than the lowest kerf width ratio. As a result of variance analyses, it was understood that the most crucial parameter influencing the kerf width was the cutting geometry (with a rate of 49.46%), while the effect rates of other parameters were 28.78% (laser power) and 20.91% (cutting speed), respectively. From regression analyses, it was concluded that the quadratic model was more successful because <i>R</i><sup>2</sup> value (99.15%) of the developed quadratic model was higher than <i>R</i><sup>2</sup> value (98.17%) of the linear model.</p> Graphical Abstract <p></p>

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Investigation of the Effects of Machining Parameters on Kerf Widths during Laser Beam Machining of Medium Carbon Steels

  • 期刊论文

  • 发表日期：

    2025年2月27日

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  • Mehmet Şükrü Adin

摘要

This study examined how various machining parameters affected kerf widths when AISI 1040 steels were cut with a laser beam. The investigation’s findings showed that workpieces cut in geometrically straight lines had smaller kerf widths. From the results of analyses of S/N ratios, the most suitable laser beam processing parameters for AISI 1040 steels were revealed to be straight line cutting geometry, 2700 W laser power and 700 mm/min cutting speed, respectively. Besides, it was found that the highest kerf width ratio was 14.81% larger than the lowest kerf width ratio. As a result of variance analyses, it was understood that the most crucial parameter influencing the kerf width was the cutting geometry (with a rate of 49.46%), while the effect rates of other parameters were 28.78% (laser power) and 20.91% (cutting speed), respectively. From regression analyses, it was concluded that the quadratic model was more successful because R2 value (99.15%) of the developed quadratic model was higher than R2 value (98.17%) of the linear model.

Graphical Abstract