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PREDICTION OF SURFACE ROUGHNESS IN TURNING MACHINE Using TAGUCHI METHOD | ||
| Al-Qadisiyah Journal for Engineering Sciences | ||
| Article 1, Volume 8, Issue 3, 2015, Pages 326-334 PDF (0 K) | ||
| Author | ||
| Abbas Fadhil Ibrahim | ||
| Abstract | ||
| This paper investigates the effect of process parameters (approach angle, nose radius, cutting speed and feed rate) on surface roughness in turning machine. The experiments was conducted based on Taguchi’s L8 orthogonal array and assessed with analysis of variance and signal to noise ratio. According to this, it was observed that surface roughness correlates negatively with nose radius and positively with approach angle. The ability of the independent values to predict the dependent values was 95.1% for mean. Minimum surface roughness was predicted as 4.207 μm with approach angle 5°, nose radius 1.5mm, cutting speed of 455 rpm and feed rate of 0.19 mm/rev. From analysis of variance ANOVA, the feed rate was the most significant parameter for minimum surface roughness, cutting speed was next significant parameter for minimum surface roughness, then nose radius, while approach angle was the last. | ||
| Keywords | ||
| Surface Roughness; turning; taguchi method; ANOVA; nose radius | ||
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