A Study on Influence of Milling Types and Cutting Conditions on Surface Roughness in Milling of Aluminum Alloy Al6061-T6

N. Nguyen
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引用次数: 2

Abstract

In this study, by using Taguchi method, with four controllable factors-three levels (milling type, axial depth of cut, feed rate, and spindle speed), the orthogonal array L27 was used to investigate the effects of milling type and cutting conditions on the surface roughness. By analysis of variance (ANOVA), the influences degree of milling type, axial cutting depth, feed rate, and spindle speed on the surface roughness were 9.26 %, 12.85 %, 12.69 %, and 63.08 %, respectively. The interaction factors of these factors that have a quite small influence on the surface roughness. The surface roughness was modeled as a quadratic regression with the confidence level is more than 99.82%. This model was successfully verified by comparison of experimental and predicted results. The optimization process of surface roughness was performed by both Taguchi method and the ANOVA analysis with the same results. The optimum value of surface roughness was 0.374 µm that was obtained in the half up milling, at a cutting depth of 0.4 mm, a feed rate of 480 mm/min, and a spindle speed of 5000 rpm.
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铣削类型和切削条件对Al6061-T6铝合金铣削表面粗糙度影响的研究
本研究采用Taguchi方法,在铣削类型、轴向切削深度、进给速度和主轴转速三个水平4个可控因素下,采用正交阵列L27研究铣削类型和切削条件对表面粗糙度的影响。方差分析表明,铣削类型、轴向切削深度、进给速度和主轴转速对表面粗糙度的影响程度分别为9.26%、12.85%、12.69%和63.08%。这些因素的相互作用因素对表面粗糙度的影响相当小。表面粗糙度模型为二次回归模型,置信水平大于99.82%。通过实验结果与预测结果的比较,验证了该模型的正确性。采用田口法和方差分析对表面粗糙度进行优化,结果相同。当切削深度为0.4 mm,进给速度为480 mm/min,主轴转速为5000 rpm时,半上铣削的最佳表面粗糙度值为0.374µm。
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