Dynamic Process Modeling for Rotary Ultrasonic Machining of Alumina

摘要: Rotary ultrasonic machining (RUM) is a hybrid approach that combines two material removal mechanisms, namely, diamond grinding and machining. This paper presents the results of dynamic process modeling for RUM alumina, as currently available literature mainly focuses on static parametric relationships. A stochastic analysis technique called data dependent systems (DDS) was used to study generated surface profiles cutting force signals. Variations in sets profiles, entrance exit segments machined holes rods, signals were modeled decomposed gain insight into mechanism. The DDS wavelength decomposition suggested major characteristic root had positive correlation with feed rate, magnitude may be linked grain size workpiece material. roughness surfaces increased tool moved deeper due reduced flushing efficiency. Surfaces rods less sensitive input variables than hole surfaces. Moreover, spindle speed rate affected significantly.