Investigating the Relationship between Chuck and Tailstock Pressure in Turning by Using Full Factorial Design

Abstract

The failure of the workpieces to be attached to the lathe at a suitable chuck and tailstock pressure values causes to the run-out rotation of the workpiece and surface irregularities, resulting in deterioration of the dimensional accuracy and surface roughness values. In order to eliminate such negativities, it is quite important to determine the ideal chuck and tailstock pressure values. The aim of this study is to obtain the lowest surface roughness value by determining the relations between the chuck and tailstock pressure and their optimum pressure via using a 2^k full factorial design. In order to see the effect of chuck and tailstock pressure, the experiments were repeated 3 times at the lowest and highest chuck and tailstock pressures determined in the constant cutting parameters of AISI 304 stainless steel. For the surface roughness values obtained as a result of 3 repetitions, the full factorial design, the optimum chuck and tailstock pressure and their relations with each other were determined with ANOVA table. According to the results of full factorial design and ANOVA, chuck and tailstock pressure and their relations with each other were found significant. The most effective parameters on surface roughness were obtained as chuck pressure, tailstock pressure and chuck- tailstock pressure, respectively. According to the full factorial design results, it was determined that the lowest surface roughness values were obtained at 17 chuck pressure and 5 tailstock pressure. The R2 value obtained in the factorial regression was 98.24% and the corrected R2 value was 96.77%. As a result, it is understood that the full factorial design is an efficient and effective method in determining the chuck and tailstock pressure.

Keywords

• Full Factorial Design
• ANOVA
• Chuck pressure
• Tailstock pressure
• Surface roughness

References

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