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ESTIMATION OF SURFACE ROUGHNESS AND FLANK WEAR IN MILLING OF INCONEL 625 SUPERALLOY
Surface Review and Letters ( IF 1.1 ) Pub Date : 2021-01-13 , DOI: 10.1142/s0218625x21500116
MAHIR AKGÜN 1 , HALIL DEMIR 2
Affiliation  

The main objective of this work is to experimentally investigate and statistically evaluate the effects of the milling parameters on surface roughness (Ra) and flank wear (Vb) in the milling of Inconel 625. Thus, milling experiments on different cutting conditions with Physical vapor deposition (PVD) and Chemical vapor deposition (CVD) coated inserts have been conducted on CNC milling machine according to Taguchi L18 orthogonal array. The effect levels of the milling conditions on Ra and Vb have been determined with analysis of variance (anova) at 95% confidence level. The analysis results indicate that the cutting tool is the most significant parameter affecting Ra while the feed rate is the most significant parameter affecting Vb. Then the linear and quadratic regression models have been applied in order to estimate Ra and Vb. The results show that a higher correlation coefficient (R2) is obtained via the quadratic regression model with a value of 0.97 for both Ra and Vb. Finally, the verification results are in excellent agreement with experimental findings, regarding the surface roughness (Ra), and tool wear (Vb).

中文翻译:

Inconel 625 高温合金铣削中表面粗糙度和后刀面磨损的估计

这项工作的主要目的是通过实验研究和统计评估铣削参数对 Inconel 625 铣削中表面粗糙度 (Ra) 和后刀面磨损 (Vb) 的影响。因此,采用物理气相沉积在不同切削条件下进行铣削实验(PVD) 和化学气相沉积 (CVD) 涂层刀片已根据田口 L18 正交阵列在 CNC 铣床上进行。研磨条件对 Ra 和 Vb 的影响水平已通过 95% 置信水平的方差分析 (anova) 确定。分析结果表明,刀具是影响Ra最显着的参数,而进给速度是影响Vb最显着的参数。然后应用线性和二次回归模型来估计 Ra 和 Vb。R2)通过二次回归模型获得,Ra 和 Vb 的值为 0.97。最后,在表面粗糙度 (Ra) 和刀具磨损 (Vb) 方面,验证结果与实验结果非常一致。
更新日期:2021-01-13
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