Vibration Analysis of Ball Screw Drive System for CNC Machine Tool

2010 ◽  
Vol 139-141 ◽  
pp. 1224-1228
Author(s):  
Ya Wei Zhang ◽  
Wei Min Zhang
Keyword(s):  
Transfer Matrix ◽  
Transfer Matrix Method ◽  
Matrix Method ◽  
Drive System ◽  
Ball Screw ◽  
Body System ◽  
Cnc Machine ◽  
Screw Drive ◽  
Ball Screw Drive ◽  
Multi Body

In order to raise ability of five-axis CNC machine tools to machine geometrically complex work pieces efficiently and with higher dimensional accuracy, it is necessary to research its mechanical eigenfrequency of mechanical transmission system. A multi-body modeling method for the vibration analyze of ball screw drive system is presented in this paper. To design such a structure properly, an analysis model for the multi-body system needs to be developed to estimate the modal characteristics effectively and properly; the transfer matrix method for the solution of the eigenfrequency problems of ball screw drive system for CNC machine is considered here. The vector–matrix formulizers of motion of multi-body system for this system are given. By using transfer matrix method, the global dynamics equation is not needed in the study of multi-body system dynamics, and it has advantages of a small size of matrix and higher computational speed.

Study of Transfer Matrix of Rolling Bearing Including Squeeze Film Damper

2012 ◽  
Vol 490-495 ◽  
pp. 618-622
Author(s):  
Hua Tao Tang ◽  
Xin Yue Wu
Keyword(s):  
Transfer Matrix ◽  
Transfer Matrix Method ◽  
Matrix Method ◽  
Rolling Bearing ◽  
Squeeze Film ◽  
Body System ◽  
Squeeze Film Damper ◽  
Rotor Bearing ◽  
Multi Body ◽  
Bearing System

The transfer matrix of rolling bearing including squeeze film damper (SFD) is studied, and the rotor – bearing system is modeled by transfer matrix method of multi-body system. It is proved by an example that the method, which provides a new idea to solve the problem of complex rotor – bearing system, is feasible and effective.

Elastokinematics of a rectilinear rear independent suspension

2016 ◽  
Vol 230 (14) ◽  
pp. 1904-1924 ◽  
Author(s):  
Xiang Liu ◽  
Jingshan Zhao ◽  
Jie Zhang ◽  
Wei Chen
Keyword(s):  
Numerical Simulations ◽  
Natural Frequency ◽  
Transfer Matrix ◽  
Transfer Matrix Method ◽  
Transfer Equation ◽  
Matrix Method ◽  
Body System ◽  
Wheel Alignment ◽  
Multi Body ◽  
External Loads

The rectilinear rear independent suspension investigated in this paper benefits from its excellent kinematic characteristics. Because of the over-constraints of the rectilinear rear independent suspension as a rigid-flexible coupled multi-body system, its elastokinematics are heavily dependent on the compliance characteristics. This paper proposes an efficient approach to establish its elastokinematic model based on the transfer matrix method. First, the overall system transfer equation of the rectilinear rear independent suspension is established. Then, the statics equation is obtained by introducing external loads and expanding the overall system transfer equation. Different configurations of rubber bushings are discussed with respectg to the natural frequency and the static deflections. Comparisons between numerical simulations and kinematic and compliance tests not only verified the approach but also demonstrated the excellent wheel alignment capacity of the rectilinear rear independent suspension.

Online Chatter Detection for Milling Operations Using LSTM Neural Networks Assisted by Motor Current Signals of Ball Screw Drives

2020 ◽  
Vol 143 (1) ◽  
Author(s):  
Rajiv Kumar Vashisht ◽  
Qingjin Peng
Keyword(s):  
Neural Networks ◽  
Feed Rate ◽  
Short Term Memory ◽  
Ball Screw ◽  
Chatter Detection ◽  
Cnc Machine ◽  
Screw Drive ◽  
Milling Operations ◽  
Milling Tool ◽  
Ball Screw Drive

Abstract For certain combinations of cutter spinning speeds and cutting depths in milling operations, self-excited vibrations or chatter of the milling tool are generated. The chatter deteriorates the surface finish of the workpiece and reduces the useful working life of the tool. In the past, extensive work has been reported on chatter detections based on the tool deflection and sound generated during the milling process, which is costly due to the additional sensor and circuitry required. On the other hand, the manual intervention is necessary to interpret the result. In the present research, online chatter detection based on the current signal applied to the ball screw drive (of the CNC machine) has been proposed and evaluated. There is no additional sensor required. Dynamic equations of the process are improved to simulate vibration behaviors of the milling tool during chatter conditions. The sequence of applied control signals for a particular feed rate is decided based on known physical and control parameters of the ball screw drive. The sequence of the applied control signal to the ball screw drive for a particular feed rate can be easily calculated. Hence, costly experimental data are eliminated. Long short-term memory neural networks are trained to detect the chatter based on the simulated sequence of control currents. The trained networks are then used to detect chatter, which shows 98% of accuracy in experiments.

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