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A hybrid method for dynamic stiffness identification of bearing joint of high speed spindles
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 Title & Authors
A hybrid method for dynamic stiffness identification of bearing joint of high speed spindles
Zhao, Yongsheng; Zhang, Bingbing; An, Guoping; Liu, Zhifeng; Cai, Ligang;
 Abstract
Bearing joint dynamic parameter identification is crucial in modeling the high speed spindles for machining centers used to predict the stability and natural frequencies of high speed spindles. In this paper, a hybrid method is proposed to identify the dynamic stiffness of bearing joint for the high speed spindles. The hybrid method refers to the analytical approach and experimental method. The support stiffness of spindle shaft can be obtained by adopting receptance coupling substructure analysis method, which consists of series connected bearing and joint stiffness. The bearing stiffness is calculated based on the Hertz contact theory. According to the proposed series stiffness equation, the stiffness of bearing joint can be separated from the composite stiffness. Then, one can obtain the bearing joint stiffness fitting formulas and its variation law under different preload. An experimental set-up with variable preload spindle is developed and the experiment is provided for the validation of presented bearing joint stiffness identification method. The results show that the bearing joint significantly cuts down the support stiffness of the spindles, which can seriously affects the dynamic characteristic of the high speed spindles.
 Keywords
bearing joint;dynamic stiffness;hybrid method;high speed spindles;
 Language
English
 Cited by
1.
Vibration performance evaluation of planar flexible multibody systems with joint clearance, Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2017, 39, 12, 4895  crossref(new windwow)
 References
1.
Altintas, Y. and Cao, Y.Z. (2005), "Virtual design and optimization of machine tool spindles", CIRP Ann. Manuf. Tech., 54 (1), 379-382. crossref(new window)

2.
Aydin, G., Jason, T.D. and Singh, R. (2012), "Effect of bearing preloads on the modal characteristics of a shaft-bearing assembly: Experiments on double row angular contact ball bearings", Mech. Syst. Signal Pr., 31, 176-195. crossref(new window)

3.
Cao, Y.Z. and Altintas, Y. (2004), "A general method for the modeling of spindle-bearing systems", ASME J. Mech. Des., 126 (6), 1089-1104. crossref(new window)

4.
Cao, Y.Z. and Altintas, Y. (2007), "Modeling of spindle-bearing and machine tool systems for virtual simulation of milling operations", Int. J. Mach. Tool. Manuf., 47 (9), 1342-1350. crossref(new window)

5.
Celic, D. and Boltezar, M. (2009), "The influence of the coordinate reduction on the identification of the joint dynamic properties", Mech. Syst. Signal Pr., 23(4), 1260-1271. crossref(new window)

6.
Chen, J.S. and Chen, K.W. (2005), "Bearing load analysis and control of a motorized high speed spindle", Int. J. Mach. Tool. Manuf., 45(12-13), 1487-1493. crossref(new window)

7.
DeMul, J.M., Vree, J.M. and Mass, D.A. (1989), "Equilibrium and association load distribution in ball and roller bearings loaded in five degrees of freedom while neglecting friction, Part I: General theory and application to ball bearings", ASME J. Tribology, 111 (1), 142-148. crossref(new window)

8.
Guo, Y. and Robert, G.P. (2012), "Stiffness matrix calculation of rolling element bearings using a finite element / contact mechanics model", Mech. Mach. Theory, 51, 32-45. crossref(new window)

9.
Hagiu, G.D. and Gafitanu, M.D. (1992), "Dynamic characteristics of high speed angular contact ball bearings", Wear, 211(1), 22-29.

10.
Hamid, A. and Mostafa, N. (2010), "Tool point dynamics prediction by a three-component model utilizing distributed joint interfaces", Int. J. Mach. Tool. Manuf., 50(11), 998-1005. crossref(new window)

11.
Hernot, X., Sartor, M. and Guillot, J. (2000), "Calculation of the stiffness matrix of angular contact ball bearings by using the analytical approach", Tran. ASME, 122(3), 83-90. crossref(new window)

12.
Hu, F., Wu, B., Hu, Y. and Shi, T. (2009), "Identification of dynamic stiffness matrix of bearing joint region", Front. Mech. Eng. China, 4(3), 289-299.

13.
Houpert, L. (1997), "A uniform analytical approach for ball and roller bearings calculations", ASME J. Tribology, 119(4), 851-858. crossref(new window)

14.
Jalali, H., Ahmadian, H. and Mottershead, J.E. (2007), "Identification of nonlinear bolted lap-joint parameters by force-state mapping", Int. J. Solid. Struct., 44(25-26), 8087-8105. crossref(new window)

15.
Jeng, Y.R. and Gao, C.C. (2001), "Investigation of the ball-bearing temperature rise under an oil-air lubrication system", Proc. Inst. Mech. Eng. Part J: J. Eng. Tribology, 215(2), 139-148. crossref(new window)

16.
Jiang, S.Y. and Mao, H.B. (2010), "Investigation of variable optimum preload for a machine tool spindle", Int. J. Mach. Tool. Manuf., 50(1), 19-28. crossref(new window)

17.
Jones, A.B. (1960), "A general theory for elastically constrained ball and radial roller bearings under arbitrary load and speed conditions", ASME J. Basic Eng., 82(2), 309-320. crossref(new window)

18.
Kashani, H. and Nobari, A.S. (2010), "Identification of dynamic characteristics of nonlinear joint based on the optimum equivalent linear frequency response function", J. Sound Vib., 329(9), 1460-1479. crossref(new window)

19.
Kim, S.M. and Lee, S.K. (2001), "Prediction of thermo-elastic behavior in a spindle bearing system considering bearing surroundings", Int. J. Mach. Tool. Manuf., 41 (6), 809-831. crossref(new window)

20.
Kim, S.M., Lee, K.J. and Lee, S.K. (2002), "Effect of bearing support structure on the high-speed spindle bearing compliance", Int. J. Mach. Tool. Manuf., 42 (3), 365-373. crossref(new window)

21.
Li, H.Q. and Shin, Y.C. (2004), "Analysis of bearing configuration effects on high speed spindles using an integrated dynamic thermo-mechanical spindle model", Int. J. Mach. Tool. Manuf., 44(4), 347-364. crossref(new window)

22.
Lim, T.C. and Singh, R. (1990), "Vibration transmission through rolling element bearings, Part I: Bearing stiffness formulation", J. Sound Vib., 139(2), 179-199. crossref(new window)

23.
Majid, M., Eldon, G. and Simon, S.P. (2013), "FRF based joint dynamics modeling and identification", Mech. Syst. Signal Pr., 39(1-2), 265-279. crossref(new window)

24.
Mao, K.M., Li, B., Wu, J. and Shao, X.Y. (2010), "Stiffness influential factors-based dynamic modeling and its parameter identification method of fixed joints in machine tools", Int. J. Mach. Tool. Manuf., 50(2), 156-164. crossref(new window)

25.
Michael, H., Stefan, O. and Lothar, G. (2002), "Identification of a bolted-joint model with fuzzy parameters loaded normal to the contact interface", Mech. Res. Commun., 29(2-3), 177-187. crossref(new window)

26.
Rivin, E.I. (2000), "Tooling structure: interface between cutting edge and machine tool", Ann. CIPP, 49(2), 591-634.

27.
Royston, T.J. (2008), "Leveraging the equivalence of hysteresis models from different fields for analysis and numerical simulation of jointed structures", J. Comput. Nonlin. Dyn., 3, 1-8.

28.
Schmitz, T.L. and Smith, K.S. (2009), Machining Dynamics: Frequency Response to Improved Productivity, Springer Science + Business Media, New York, NY, USA.

29.
Shamine, D.M., Hong, S.W. and Shin, Y.C. (1998), "Experimental identification of dynamic parameters of rolling element bearings in machine tools", J. Dyn. Syst. Measur. Control Tran., ASME, 122(1), 95-101.

30.
Yang, T.C., Fan, S.H. and Lin, C.S. (2003), "Joint stiffness identification using FRF measurements", Comput. Struct., 81(28-29), 2549-2556. crossref(new window)