用田口法优化颤振和表面毛坯数控铣削变螺旋角参数

Festo Andre Hardinsi, O. Novareza, A. A. Sonief
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引用次数: 3

摘要

在制造业中,数控铣床在操作过程中存在的主要问题是颤振效应(自激振动),它增加了表面粗糙度的质量。本研究的目的是确定颤振参数和表面粗糙度参数的最优值。基于峰值fft值和SJ-301测试仪测量的表面粗糙度,用LabVIEW-2019软件对加速度计MPU-6050和Arduino进行颤振测量。采用田口法对304不锈钢进行变螺旋角、主轴转速、进给速率、切削深度等参数的研究。得到的最佳参数值为:变螺旋35/38度,主轴转速3000转/分,进给速度150毫米/分钟,切削深度0.4毫米。通过方差分析,发现螺旋角和切削深度对颤振和表面粗糙度有显著影响。方差分析颤振对切削深度和表面粗糙度的贡献最大,分别为93.84%和91.93%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
OPTIMIZATION OF VARIABEL HELIX ANGLE PARAMETERS IN CNC MILLING OF CHATTER AND SURFACE ROUGHNES USING TAGUCHI METHOD
In the manufacturing industries, the main problem in process of operating CNC milling machine was chatter effect (self-excited vibration) which increases the quality of the surface roughness. In this study is to determine optimal value of parameters for chatter and surface roughness. The chatter measured using accelerometer MPU-6050 with Arduino by software LabVIEW-2019 based on peaks-FFT value and the surface roughness measured by SJ-301 tester. The research parameters like variable helix angle, spindle speed, feed rate, and depth of cut using stainless steel 304 by Taguchi method. The optimum parameters value obtained are variable helix 35/38 degrees, spindle speed 3000 RPM, feed rate 150 mm/min and depth of cut 0.4 mm. Based on ANOVA value, the variable helix angle and depth of cut are found to be significant for chatter and surface roughness. The depth of cut was high contribution by ANOVA chatter by 93.84% and surface roughness by 91.93%.
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