Experimental analysis and modeling of the dynamic performance of machine tool spindle-bearing systems

2001 ◽  
Author(s):  
Evgueni V. Bordatchev ◽  
Peter E. Orban ◽  
Adam Rehorn
Keyword(s):  
Machine Tool ◽  
Experimental Analysis ◽  
Dynamic Performance ◽  
Spindle Bearing ◽  
Machine Tool Spindle

scholarly journals The bearing parallel misalignment running model–based machine tool spindle thermal error analysis

2018 ◽  
Vol 10 (6) ◽  
pp. 168781401877862
Author(s):  
Yanfang Dong ◽  
Zude Zhou ◽  
Lihai Chen
Keyword(s):  
Machine Tool ◽  
Significant Influence ◽  
Thermal Error ◽  
Simulation Method ◽  
Contact Angles ◽  
Empirical Methods ◽  
Spindle Bearing ◽  
Machine Tool Spindle ◽  
Contact Loads ◽  
Parallel Misalignment

As a key component of the machine tool spindle, bearing has critical influences on the spindle thermal error. In particular, the installation errors of bearing have considerable effects upon the spindle thermal error by altering the bearings’ internal contact angles, contact loads, and friction torques for different ball positions, but have yet to be fully elucidated. In this article, the influence of installation errors on the resulting spindle thermal error was evaluated using both empirical methods and simulation method, with the ultimate aim of reducing installation error. Deviations within the bearing support were used to simulate bearing parallel misalignment; bearing parallel misalignment running model was built, and an analysis and comparison of various conditions were used to determine the influence, showing that the parallel misalignment has significant influence on the spindle Z direction thermal error.

Multi-objective Optimization of Machine Tool Spindle-Bearing System

2020 ◽  
Vol 21 (10) ◽  
pp. 1885-1902
Author(s):  
Van-Canh Tong ◽  
Jooho Hwang ◽  
Jongyoup Shim ◽  
Jeong-Seok Oh ◽  
Seong-Wook Hong
Keyword(s):  
Machine Tool ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Spindle Bearing ◽  
Machine Tool Spindle ◽  
Bearing System

Optimization Strategies for Machine Tool Spindle-Bearing Systems: A Critical Review

1992 ◽  
Vol 114 (2) ◽  
pp. 244-253 ◽  
Author(s):  
J. A. Brandon ◽  
K. J. H. Al-Shareef
Keyword(s):  
Signal Processing ◽  
Machine Tool ◽  
Machine Tools ◽  
High Performance ◽  
Optimization Theory ◽  
Early Research ◽  
Research Activity ◽  
Spindle Bearing ◽  
Machine Tool Spindle ◽  
The Subject

After a period of relative quiescence, optimization of the design of high performance machine tools has become the subject of considerable recent research activity. Advances in the general areas of optimization theory and signal processing have enabled effective solutions to problems regarded as intractable by earlier analysts. There is, however, a danger that valuable early research may be discounted or overlooked when there is a substantial period of dormancy in a discipline. The survey links early work with current activity in the optimization of machine tool spindle bearing systems.

Integrated “CAE” strategies for the design of machine tool spindle-bearing systems

2001 ◽  
Vol 37 (6-7) ◽  
pp. 485-511 ◽  
Author(s):  
Y. Kang ◽  
Y.-P. Chang ◽  
J.-W. Tsai ◽  
S.-C. Chen ◽  
L.-K. Yang
Keyword(s):  
Machine Tool ◽  
Spindle Bearing ◽  
Machine Tool Spindle

Experimental Method to Evaluate Unbalance Vibration for Machine Tool Spindle Integrated with Automatic Balancer

2013 ◽  
Vol 391 ◽  
pp. 398-401
Author(s):  
Hong Wei Fan ◽  
Min Qing Jing ◽  
Heng Liu
Keyword(s):  
Machine Tool ◽  
Dynamic Performance ◽  
Vibration Signal ◽  
Characteristic Parameter ◽  
Automatic Generation ◽  
Analysis Method ◽  
Displacement Sensors ◽  
Machine Tool Spindle ◽  
Signal Analysis Method ◽  
Peak Value

Unbalance is one of the main vibration sources of rotating machinery. Study on the response of unbalance is important for the machine tool spindle dynamic performance evaluation and balancing technology. How to simulate the unbalance automatic generation and how to effectively analyze the unbalance vibration signal are two main problems. In this paper, an electromagnetic balancer is used to act as the unbalance generator to imitate the tool unbalance during machine tool operation. An integrated spindle with the balancer is developed and the acceleration and displacement sensors are applied to pick up the unbalance vibration. The filtering, linear FFT and averaging are applied to extract the fundamental component from the original signal. The displacement peak-peak value and acceleration peak value are chosen as the characteristic parameter evaluating unbalance response and the shaft orbit is adopted to recognize unbalance intuitively. The experimental results show that the unbalance simulation and signal analysis method are feasible and effective.

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