Abstract
In order to ensure the stability of machining processes, the tool point frequency response functions (FRFs) should be obtained initially. By the receptance coupling substructure analysis (RCSA), the tool point FRFs can be generated quickly for any combination of holder and tool without the need of repeated measurements. A major difficulty in the sub-structuring analysis is to determine the connection parameters at the tool-holder interface. This study proposed an identification method to recognize the connection parameters at the tool-holder interface by using RCSA and particle swarm optimization (PSO). In this paper, the XHK machining center is divided into two components, which are the tool and the spindle assembly firstly. After that, the end point FRFs of the tool are achieved by mode superposition method. The end receptances of the spindle assembly with complicated structure are obtained by impacting test method. Through translational and rotational springs and dampers, the tool point FRF of the machining center is obtained by coupling the two components. Finally, PSO is adopted to identify the connection parameters at the tool-holder interface by minimizing the difference between the predicted and the measured tool point FRFs. Comparison results between the predicted and measured tool point FRFs show a good agreement and demonstrate that the identification method is valid in the identification of connection parameters at the tool-holder interface.
Highlights
Regenerative chatter is a well-known machining problem that could result in unstable cutting process, poor surface quality and reduced material removal rate
Wang et al / Dynamic parameter identification of tool-spindle interface based on receptance coupling substructure analysis (RCSA) and particle swarm optimization (PSO)
The tool receptances of the machining center can be coupled with the spindle assembly, and the direct frequency response functions (FRFs) at the tool tip is obtained by Eq (24) [11]
Summary
Regenerative chatter is a well-known machining problem that could result in unstable cutting process, poor surface quality and reduced material removal rate. E. Wang et al / Dynamic parameter identification of tool-spindle interface based on RCSA and PSO blim. The identification of connection parameters at the tool-holder interface is of utmost importance for obtaining the accurate tool point FRF. As a general method of joint identification, it should be modified a lot to determine the connection parameters at the tool-holder interface. Based on RCSA and PSO, an identification approach is proposed to determine the connection parameters at the tool-holder interface in this paper. PSO is employed to determine the connection parameters at the tool-holder interface by minimizing the difference between the predicted and measured tool point FRFs. the paper is organized as follows.
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