RESEARCH ARTICLE

Radial electromagnetic type unbalance vibration self-recovery regulation system for high-end grinding machine spindles

  • Xin PAN 1 ,
  • Haoyu ZHANG 1 ,
  • Jinji GAO , 1 ,
  • Congcong XU 1 ,
  • Dongya LI 2
Expand
  • 1. Beijing Key Laboratory of Health Monitoring and Self-recovery for High-end Mechanical Equipment, Beijing University of Chemical Technology, Beijing 100029, China
  • 2. Luoyang Bearing Research Institute Corporation, Luoyang 471033, China
gaojinji@263.net

Received date: 08 Feb 2023

Accepted date: 13 Jun 2023

Copyright

2023 Higher Education Press

Abstract

Modern rotating machines, which are represented by high-end grinding machines, have developed toward high precision, intelligence, and high durability in recent years. As the core components of grinding machine spindles, grinding wheels greatly affect the vibration level during operation. The unbalance vibration self-recovery regulation (UVSRR) system is proposed to suppress the vibration of grinding wheels during workpiece processing, eliminating or minimizing the imbalance. First, technical principles and the system composition are introduced. Second, the balancing actuator in the UVSRR system is analyzed in detail. The advanced nature of the improved structure is presented through structure introduction and advantage analysis. The performance of the balancing actuator is mutually verified by the theoretical calculation of torque and software simulation. Results show that the self-locking torque satisfies the actual demand, and the driving torque is increased by 1.73 times compared with the traditional structure. Finally, the engineering application value of the UVSRR system is verified by laboratory performance comparison and actual factory application. The balancing speed and effect of the UVSRR system are better than those of an international mainstream product and, the quality of the workpieces machined in the factory improved by 40%.

Cite this article

Xin PAN , Haoyu ZHANG , Jinji GAO , Congcong XU , Dongya LI . Radial electromagnetic type unbalance vibration self-recovery regulation system for high-end grinding machine spindles[J]. Frontiers of Mechanical Engineering, 2023 , 18(3) : 47 . DOI: 10.1007/s11465-023-0763-1

Nomenclature

AgEffective magnetic pole area
BrRemaining magnetic strength of the magnets
BgMagnetic induction intensity generated by the magnets
CDamping matrix of the spindle system
FTotal self-locking force
F0Unbalance fault force on the spindle system
F1Self-recovery force
FgAttraction force between the magnets
gGravitational acceleration
GGyroscopic matrix of the spindle system
HcMagnetic coercivity
JRotational inertia of the counterweight discs and its accessories
KNumber of magnets
KsfSafety factor
KStiffness matrix of the spindle system
m1, m2Masses of the counterweight blocks 1 and 2, respectively
mMass matrix of the balancing actuator
MMass matrix of the spindle system
RMounting radius of the magnets
R1, R2Center of gravity of the counterweight blocks 1 and 2, respectively
RgRadius of the magnet
tTime
TsTotal self-locking torque
TsmMinimum self-locking torque
xVibration parameter of amplitude and phase of the spindle system
x¨Acceleration of the spindle system
αSpindle starting acceleration
ωAngular velocity of the spindle system
φInitial phase of the spindle system
δ2Air gap
μRelative permeability
μ0Magnetic permeability of air

Acknowledgements

This work was supported by the National Natural Science Foundation of China (Grant No. 51875031) and the Natural Science Foundation of Beijing, China (Grant No. 3212010).

Conflict of Interest

The authors declare that they have no conflict of interest.
1
Wang J L , Xu C Q , Zhang J , Zhong R . Big Data analytics for intelligent manufacturing systems: a review. Journal of Manufacturing Systems, 2022, 62: 738–752

DOI

2
Cohen Y , Singer G . A smart process controller framework for Industry 4.0 settings. Journal of Intelligent Manufacturing, 2021, 32(7): 1975–1995

DOI

3
Gao R X , Wang L H , Helu M , Teti R . Big Data analytics for smart factories of the future. CIRP Annals-Manufacturing Technology, 2020, 69(2): 668–692

DOI

4
Kusiak A . Smart manufacturing must embrace Big Data. Nature, 2017, 544(7648): 23–25

DOI

5
Spakovszky Z S . Instabilities everywhere! Hard problems in aero-engines. Journal of Turbomachinery, 2023, 145(2): 021011

DOI

6
Hong J , Yu P C , Ma Y H , Zhang D Y . Investigation on nonlinear lateral-torsional coupled vibration of a rotor system with substantial unbalance. Chinese Journal of Aeronautics, 2020, 33(6): 1642–1660

DOI

7
Yu P C , Zhang D Y , Ma Y H , Hong J . Dynamic modeling and vibration characteristics analysis of the aero-engine dual-rotor system with fan blade out. Mechanical Systems and Signal Processing, 2018, 106(4): 158–175

DOI

8
Sinha S K . Rotordynamic analysis of asymmetric turbofan rotor due to fan blade-loss event with contact-impact rub loads. Journal of Sound and Vibration, 2013, 332(9): 2253–2283

DOI

9
Li B Q , Ma H , Yu X , Zeng T , Guo X M , Wen B C . Nonlinear vibration and dynamic stability analysis of rotor-blade system with nonlinear supports. Archive of Applied Mechanics, 2019, 89(7): 1375–1402

DOI

10
GaoJ J. Artificial Self-recovery and Autonomous Health of Machine. Singapore: Springer, 2022

11
Gao J J . Bionic artificial self-recovery enables autonomous health of machine. Journal of Bionics Engineering, 2022, 19(6): 1545–1561

DOI

12
GaoJ J. A study of the fault self-recovery regulation for process equipment. In: Proceedings of International Conference on Intelligent Maintenance Systems. Xi’an, 2003, 779–786 (in Chinese)

13
Gao J J . Artificial self-recovery and machinery self-recovery regulation system. Journal of Mechanical Engineering, 2018, 54(8): 83–94

DOI

14
Cao H R , Zhang X W , Chen X F . The concept and progress of intelligent spindles: a review. International Journal of Machine Tools and Manufacture, 2017, 112: 21–52

DOI

15
Jin H H , Miller G M , Pety S J , Griffin A S , Stradley D S , Roach D , Sottos N R , White S R . Fracture behavior of a self-healing, toughened epoxy adhesive. International Journal of Adhesion and Adhesives, 2013, 44: 157–165

DOI

16
Casavola A , Rodrigues M , Theilliol D . Self-healing control architectures and design methodologies for linear parameter varying systems. International Journal of Robust and Nonlinear Control, 2015, 25(5): 625–626

DOI

17
Li H , Wang F L , Li H R . Abnormal condition identification and self-healing control scheme for the electro-fused magnesia smelting process. Acta Automatica Sinica, 2020, 46(7): 1411–1419

DOI

18
Chen F Y , Jiang B , Tao G . Direct self-repairing control for helicopter via quantum control and adaptive compensator. Transactions of Nanjing University of Aeronautics and Astronautics, 2011, 28(4): 337–342

19
Pan X , He X T , Wu H Q , Ju C L , Jiang Z N , Gao J J . Optimal design of novel electromagnetic-ring active balancing actuator with radial excitation. Chinese Journal of Mechanical Engineering, 2021, 34(1): 9

DOI

20
Pan X , Lu J Q , Huo J J , Gao J J , Wu H Q . A review on self-recovery regulation (SR) technique for unbalance vibration of high-end equipment. Chinese Journal of Mechanical Engineering, 2020, 33(1): 89

DOI

21
Li Z J , Chen L F , Zhou B , Yan Z W , Zhou S H . Magnetic circuit optimization and experimental study of new internally excited automatic balancing. High Technology Letters, 2021, 27(2): 173–183

DOI

22
Yao J F , Yang F Y , Su Y F , Scarpa F , Gao J J . Balancing optimization of a multiple speeds flexible rotor. Journal of Sound and Vibration, 2020, 480: 115405

DOI

23
Ranjan G , Tiwari R . On-site high-speed balancing of flexible rotor-bearing system using virtual trial unbalances at slow run. International Journal of Mechanical Sciences, 2020, 183: 105786

DOI

24
Hredzak B , Guo G X . New electromechanical balancing device for active imbalance compensation. Journal of Sound and Vibration, 2006, 294(4–5): 737–751

DOI

25
LiX GZhaoC HFengQZhouYZHOUHJiangC MLiuB YXuMSunY X. CN Patent, 205138714, 2016-04-06

26
KumeHHibiTSogawaT. US Patent, 6219328B1, 2001-04-17

27
Zhang X N , Liu X , Zhao H . New active online balancing method for grinding wheel using liquid injection and free dripping. Journal of Vibration and Acoustics, 2018, 140(3): 031001

DOI

28
Urbiola-Soto L , Lopez-Parra M , Cuenca-Jimenez F . Improved design of a bladed hydraulic balance ring. Journal of Sound and Vibration, 2014, 333(3): 669–682

DOI

29
Langthjem M A , Nakamura T . Highly nonlinear liquid surface waves in the dynamics of the fluid balancer. Procedia IUTAM, 2016, 19: 110–117

DOI

30
Fan H W , Jing M Q , Wang R C , Liu H , Zhi J J . New electromagnetic ring balancer for active imbalance compensation of rotating machinery. Journal of Sound and Vibration, 2014, 333(17): 3837–3858

DOI

31
Moon J D , Kim B S , Lee S H . Development of the active balancing device for high-speed spindle system using influence coefficients. International Journal of Machine Tools and Manufacture, 2006, 46(9): 978–987

DOI

32
PanXPengR XZhangH YWuH QGaoJ J. Research on new electromagnetic type automatic balancing system for high-end machinery and equipment. Journal of Mechanical Engineering, 2022, 58: 1–10 (in Chinese)

33
LORDCorporation. US Patent, 8961139B2, 2015-02-24

34
Hofmann Maschinen-und Anlagenbau GmbH. US Patent, 8875572B2, 2014-11-04

35
ARICHELLTechnologies. CA Patent, 2538524C, 2015-09-08

36
ZhuC SWangX X. Vibration control of advanced hybrid squeeze film damper on a flexible rotor system. Journal of Mechanical Engineering, 1996, 32(3): 76–83 (in Chinese)

37
ZengSWangX XLiY Y. Research on unbalance identification method of double rotors system with slightly different rotating speed. Journal of Vibration Engineering, 1996, 9(4): 399–404 (in Chinese)

38
PanXWuH QJiangZ NGaoJ J. US Patent, 11362565B2, 2022-06-14

Outlines

/