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Vibration diagnosis and prognostics of Turn-milling operations using HSS and carbide end mill cutters

机译:使用HSS和硬质合金铣刀的振动诊断和新铣削操作的预测

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Vibrations are the leading phenomenon in analyzing surface finish and machine condition. The present work focuses on effect of machining parameters on Surface Roughness (Ra) and Tool Vibrations (VIB) in manufacturing operational methods like tangential and orthogonal turn-milling processes. Single cut machining on A-axis of CNC Vertical Milling centre using HSS and carbide end mill cutters are adopted. Process parameters like cutter (tool) speed, feed rate and depth of cut with constant rotation of workpiece on A-axis are chosen while machining Extruded brass material under dry condition. Statically design experiments based on Taguchi's philosophy of Orthogonal Array (OA) is adopted for experimentation. Online capturing of Acousto-optic emissions (AOE) of tool shank vibrations is done using Laser Doppler Vibrometer (LDV) and is analyzed using VibSoft analyzer. Peak vibrations displacements of the cutting tool shanks are identified using Fast Fourier Transforms (FFT) over time domain signals and are used for vibration diagnosis and prognostics as a measure of machine tool condition monitoring, Failure Mode and Effective Analysis (FMECA) based on ISO standards is used for vibration prognostics.
机译:振动是分析表面光洁度和机器条件的领先现象。本工作侧重于制造运行方法的表面粗糙度(RA)和工具振动(VIB)的加工参数的影响,如切向和正交的转铣过程。采用使用HSS和硬质合金铣刀切割器的CNC立式铣削中心的轴上的单馏加工。根据干燥条件加工挤出的黄铜材料,选择刀具(工具)速度,进料速率,进料速率,进料速率和截止恒定的工件旋转的深度。采用基于Taguchi的正交阵列(OA)哲学的静态设计实验进行实验。使用激光多普勒振动计(LDV)进行刀柄振动的声光排放(AoE)的在线捕获,并使用Vibsoft Analyzer进行分析。使用快速傅里叶变换(FFT)在时域信号中识别切割工具柄的峰值振动位移,并且用于振动诊断和预后,基于ISO标准的机床状态监测,故障模式和有效分析(FMECA)的衡量标准用于振动预测。

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