A Dynamic-Balancing Testing System Designed for Flexible Rotor

In this paper, a dynamic-balancing testing system is designed. The innovative feature of the testing system is the dynamic balancing of the rotor system with robustness and high balance efficiency which meets the requirements of engineering application. The transient characteristic-based balancing method (TCBM) interface and the influence coefficient method (ICM) interface are designed in the testing system. The TCBM calculates the unbalance by the transient vibration responses while accelerating rotor operating without trail-weight. The ICM calculates the unbalance by the steady-state vibration responses while the rotor system operates with trail-weight and constant speed. The testing system has the functions of monitoring operations synchronously, measuring and recording the required vibration responses, analyzing the dynamic characteristics, and identifying the unbalance parameters. Experiments of the single disc rotor system are carried out, and the maximum deflection of the measuring point has decreased by 73.11% after balancing by the TCBM interface. The maximum amplitude of the measuring point at 2914 r/min has decreased by 77.74% after balancing by ICM interface, while the maximum deflection during the whole operation has decreased by 70.00%. The experiments prove the effectiveness of the testing system, while the testing system has advantages of convenient and intuitive operation, high balance efficiency, and security.

[1]  Kenji Uchiyama,et al.  Design of flight control system for quad tilt-wing UAV , 2015, 2015 International Conference on Unmanned Aircraft Systems (ICUAS).

[2]  Guangfu Bin.  Whole-machine Dynamic Balancing Method without Trial Weights for Multi-span Rotor Shafting Based on Dynamic Finite Element Model , 2016 .

[3]  Yang Yong-feng,et al.  Dynamic characteristics of cracked uncertain hollow-shaft , 2019, Mechanical Systems and Signal Processing.

[4]  Shun Zhong,et al.  A Novel Balancing Method for Rotor Using Unsupervised Deep Learning , 2021, Shock and Vibration.

[5]  K. Prabith,et al.  The numerical modeling of rotor–stator rubbing in rotating machinery: a comprehensive review , 2020, Nonlinear Dynamics.

[6]  Mario Innocenti,et al.  Flight Control System of the HoverEye VTOL UAV , 2007 .

[7]  Jinji Gao,et al.  Balancing optimization of a multiple speeds flexible rotor , 2020, Journal of Sound and Vibration.

[8]  Wei-dong Zhu,et al.  An investigation on the lubrication characteristics of floating ring bearing with consideration of multi-coupling factors , 2022 .

[9]  Lei Hou,et al.  Bifurcation and stability analysis of a nonlinear rotor system subjected to constant excitation and rub-impact , 2019, Mechanical Systems and Signal Processing.

[10]  Fulei Chu,et al.  Stability and non-linear responses of a rotor-bearing system with pedestal looseness , 2001 .

[11]  J. Tonnesen,et al.  Analysis and Experiments on Multi-Plane Balancing of a Flexible Rotor , 1972 .

[12]  Gao Jinji,et al.  Virtual dynamic balancing method without trial weights for multi-rotor series shafting based on finite element model analysis , 2014 .

[13]  Hongkun Wu,et al.  Damage detection techniques for wind turbine blades: A review , 2020 .

[14]  Lijun Zhao,et al.  Interface Design of a Human-Robot Interaction System for Dual-Manipulators Teleoperation Based on Virtual Reality* , 2018, 2018 IEEE International Conference on Information and Automation (ICIA).

[15]  F. Gu,et al.  Response analysis of an accelerating unbalanced rotating system with both random and interval variables , 2020, Journal of Sound and Vibration.

[16]  Bangchun Wen,et al.  The effect of blade vibration on the nonlinear characteristics of rotor–bearing system supported by nonlinear suspension , 2017 .

[17]  G. M. L. Gladwell,et al.  The Vibration and Balancing of an Unbalanced Flexible Rotor , 1959 .

[18]  Hui Ma,et al.  Review on dynamics of cracked gear systems , 2015 .

[19]  Hui Ma,et al.  Fixed-point rubbing fault characteristic analysis of a rotor system based on contact theory , 2013 .

[20]  Arthur W. Lees,et al.  The evaluation of rotor unbalance in flexibly mounted machines , 1997 .

[21]  Qingkai Han,et al.  Balancing method without trial weights for rotor systems based on similitude scale model , 2018 .

[22]  Lei Hou,et al.  Review for order reduction based on proper orthogonal decomposition and outlooks of applications in mechanical systems , 2019, Mechanical Systems and Signal Processing.

[23]  Yuri Menshikov.  Identification of Rotor Unbalance as Inverse Problem of Measurement , 2013 .

[24]  W. Kellenberger,et al.  Should a Flexible Rotor Be Balanced in N or (N + 2) Planes? , 1972 .

[25]  Longxi Zheng,et al.  Balancing of flexible rotors without trial weights based on finite element modal analysis , 2013 .

[26]  Zhao Shibo,et al.  A transient characteristic-based balancing method of rotor system without trail weights , 2021 .

[27]  Anoop Chawla,et al.  Transient response and breathing behaviour of a cracked Jeffcott rotor , 2004 .

[28]  Donglin Zou,et al.  Application of augmented Kalman filter to identify unbalance load of rotor-bearing system: Theory and experiment , 2019 .

[29]  Bangchun Wen,et al.  Analysis of dynamic characteristics for a rotor system with pedestal looseness , 2011 .

[30]  Wang Fei,et al.  A System Design for the Testing Platform of Robot Teleoperation with Enhanced Reality Based on Binocular Vision , 2009, 2009 International Forum on Information Technology and Applications.

[31]  A. S. Sekhar,et al.  Modal balancing of flexible rotors with bow and distributed unbalance , 2013 .

[32]  Paolo Pennacchi,et al.  Light and short arc rubs in rotating machines: Experimental tests and modelling , 2009 .

[33]  Jie Hong,et al.  An effective numerical method for calculating nonlinear dynamics of structures with dry friction: application to predict the vibration response of blades with underplatform dampers , 2017 .