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Optimisation of End Milling Machining Parameters Using the Taguchi Method and ANOVA of AISi/AIN Metal Matrix Composite Material

机译:使用Taguchi方法和AISI / AIN金属基质复合材料的算法和ANOVA优化结束铣削加工参数

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The purpose of this research is to determine the optimum machining parameter for Aluminium silicon alloy (AlSi) matrix composite, which has been reinforced with aluminium nitride (AlN), with three types of carbide inserts present. Experiments were conducted at various cutting speeds, feed rates and depths of cut, according to the Taguchi orthogonal array 1,27- The signal-to-noise (S/N) ratio and analysis of variance are applied to study the characteristic performance of cutting speeds, feed rates, depths of cut and types of tool in measuring the tool life during the milling operation. The analysis of wear was done using a Sometech SV-35 video microscope according to ISO 3686. Through Taguchi analysis, it is concluded that a combination of high feed rate, high depth of cut, low cutting speed and insert TiB_2 give a longer tool life. Therefore, the cutting speed of 230 m/min, feed rate of 0.8 mm/tooth, depth of cut of 0.5 mm and type of insert of TiB_2 were the optimum machining parameters. These optimum parameters will help the automotive industry to have a competitive machining operation from both economical and manufacturing perspectives.
机译:本研究的目的是确定铝硅合金(ALSI)基质复合材料的最佳加工参数,该参数已用氮化铝(ALN)加强,存在三种类型的碳化物插入件。根据Taguchi正交阵列1,27的切割速度,进料速率和切割深度进行实验,噪声(S / N)比率和方差分析应用于研究切割的特征性能在铣削操作期间测量刀具寿命时,速度,饲料速度,切割深度和工具类型。根据ISO 3686,使用Oneech SV-35视频显微镜进行磨损分析。通过Taguchi分析,得出结论,高进料速率,高深切割深度,低切换速度和插入TIB_2的组合给出了更长的刀具寿命。因此,切削速度为230米/分钟,进料速率为0.8毫米/齿,切割深度为0.5毫米,刀片的型号是最佳加工参数。这些最佳参数将有助于汽车行业从经济和制造的角度来看具有竞争性加工操作。

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