Identification of a Lathe Spindle Dynamics Using Extended Inverse Receptance Coupling

Abstract

In order to ensure machining stability, it is essential to properly determine the dynamic properties of machine tool–workpiece system. Experimental modal analysis provides good results; however, due to high time consumption, in some cases, its use is not practically justified. Then, a receptance coupling method can be used, that allows for the synthesis of the experimental models of the machine tool components and analytical models of the workpiece. However, a significant disadvantage of this method is the need for the experimental identification of the rotational degrees-of-freedom, fully defining dynamic properties of the spindle. This paper presents an improved method based on inverse receptance coupling, which enables effective identification of the spindle dynamics with the properties of the joint. Then, a measurement procedure and results of the experimental validation are presented.

Implementation of an Algorithm to Prevent Chatter Vibration in a CNC System

“…Most of the methods proposed for this type of application turns out to be highly sensitive to measurement inaccuracies or are laborious to achieve good results [30,31]. Therefore, the extended inverse receptance coupling (EIRC) method was used, developed by the author of this paper, specifically for this type of application [32]. The method assumes a determination of the spindle dynamic properties based on experimentally determined frequency response functions of coupled spindle–beam systems.…”

Application of the finite element method in the milling process stability diagnosis

“…Many methods have been developed for the modelling of dynamical properties of machine tools, including finite elements (Zienkiewicz and Taylor, 1997), rigid finite elements (Wittbrodt et al, 2007) and hybrid methods (Jastrzębski, 2008;Zaeh et al, 2004;Jasiewicz and Powałka, 2018a). They are based on replacing a continuous model of the mechanical system (described with partial differential equations) by a discrete model expressed by a system of algebraic equations.…”