A Study on Active Balancing for Rotating Machinery Using Influence Coefficient Method

2005 ◽  
Author(s):  
Soo-Hun Lee ◽  
Bong-Siuk Kim ◽  
Jong-Duck Moon ◽  
Do-Hyung Kim
Keyword(s):  
Rotating Machinery ◽  
Influence Coefficient ◽  
Active Balancing ◽  
Influence Coefficient Method ◽  
Coefficient Method

Extended Influence Coefficient Method for Rotor Active Balancing During Acceleration

2004 ◽  
Vol 126 (1) ◽  
pp. 219-223 ◽  
Author(s):  
Shiyu Zhou ◽  
Stephen W. Dyer ◽  
Kwang-keun Shin ◽  
Jianjun Shi ◽  
Jun Ni
Keyword(s):  
Fatigue Life ◽  
Gain Scheduling ◽  
Rotor System ◽  
Influence Coefficient ◽  
Resonant Vibration ◽  
Active Balancing ◽  
Look Up Table ◽  
Influence Coefficients ◽  
Influence Coefficient Method ◽  
Coefficient Method

Imbalance-induced vibration of rotating machineries is an important factor limiting the performance and fatigue life of a rotor system. Particularly, the severe resonant vibration of a rotor when it passes through its critical speeds could damage the rotor system. To avoid this peak vibration, this paper presents an active balancing method to offset the imbalance of the rotor system during acceleration by using an electromagnetic balancer. In this method, “instantaneous” influence coefficients at different speeds are obtained and stored in a look-up table. Then, a gain scheduling strategy is adopted to suppress the imbalance-induced vibration during acceleration based on the “instantaneous” influence coefficient table. A comprehensive testbed is built to validate this scheme, and the validation results are presented.

Balancing of a Highly Flexible Rotor by Using Artificial Neural Networks

2007 ◽  
Author(s):  
Manuel Villafan˜e Saldarriaga ◽  
Jarir Mahfoud ◽  
Valder Steffen ◽  
Johan Der Hagopian
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Influence Coefficient ◽  
Flexible Rotor ◽  
Active Balancing ◽  
Influence Coefficient Method ◽  
Alternative Methodology ◽  
Artificial Neural ◽  
Coefficient Method

The present work is an alternative methodology in order to balance an unsymmetrical damped highly flexible rotor by using neural networks. This procedure was developed aiming at improving the performance of classical balancing methods, which are not well adapted to these situations. The approach developed is based on the influence coefficient method and is adequate to integrate an active balancing system. The methodology is tested successfully experimentally.

Influence Coefficients Obtained by Hammer Beat Permit Significant Time Savings When Balancing Simple Flexible Rotors

1999 ◽  
Author(s):  
D. Wiese ◽  
M. Breitwieser
Keyword(s):  
Influence Coefficient ◽  
Significant Time ◽  
Flexible Rotors ◽  
Influence Coefficients ◽  
Flexible Roll ◽  
Influence Coefficient Method ◽  
Time Savings ◽  
Positive Results ◽  
Coefficient Method

Abstract The following paper presents a method for balancing simple flexible rotors with the help of influence coefficients obtained by hammer beat. The method permits time savings of approx. 50% compared to the conventional influence coefficient method. Initial positive results obtained on a flexible roll are also presented.

Prototype design and size optimization of a hybrid lower extremity exoskeleton with a scissor mechanism for load-carrying augmentation

2014 ◽  
Vol 229 (1) ◽  
pp. 155-167 ◽  
Author(s):  
Yunjie Miao ◽  
Feng Gao ◽  
Dalei Pan
Keyword(s):  
Lower Extremity ◽  
Influence Coefficient ◽  
Input And Output ◽  
Flexion Extension ◽  
Load Carrying ◽  
Influence Coefficient Method ◽  
Prototype Design ◽  
Coefficient Method ◽  
Length Optimization ◽  
Scissor Mechanism

A hybrid lower extremity exoskeleton SJTU-EX which adopts a scissor mechanism as the hip and knee flexion/extension joint is proposed in Shanghai Jiao Tong University to augment load carrying for walking. The load supporting capabilities of a traditional serially connected mechanism and the scissor mechanism are compared in detail. The kinematic influence coefficient method of the kinematic and dynamic analysis is applied in the length optimization of the scissor sides to minimize the transmitting errors between the input and output motions in walking and the load capacities of different scissor mechanisms are illustrated. The optimization results are then verified by the walking simulations. Finally, the prototype of SJTU-EX is implemented with several improvements to enhance the working performances.

Study on an Intelligent Teaching Dynamic Balance Technology

2013 ◽  
Vol 483 ◽  
pp. 174-176 ◽  
Author(s):  
Shu Ping Cai ◽  
Ting Zhao
Keyword(s):  
Dynamic Balance ◽  
Far Infrared ◽  
Test System ◽  
Influence Coefficient ◽  
Dynamic Balancing ◽  
Influence Coefficient Method ◽  
Sensitive Sensor ◽  
Phase Sensor ◽  
Electric Measuring ◽  
Coefficient Method

Abstract:.:Intelligent teaching Dynamic balancing is a new kind of dynamic balancing test system with various functions of teaching need. It integrates the hard bearing method using A, B, C size solution with soft bearing method using the influence coefficient method solution. The system is mainly composed of machine frame, intelligent electric measuring box, high sensitive sensor and far infrared phase sensor. It has the advantages of small volume, simple operation, security with low speed，reliable and convenient operation for students. It can deepen students' understanding of balancing knowledge, which has won the national utility model patent.

Research on Dynamics of a Three-DOF Parallel Manipulator for Levelling Mechanism

2013 ◽  
Vol 774-776 ◽  
pp. 1369-1374 ◽  
Author(s):  
Hong Jun Yang
Keyword(s):  
Parallel Manipulator ◽  
Coefficient Matrix ◽  
Dynamics Simulation ◽  
Dynamic Equations ◽  
Control System Design ◽  
Influence Coefficient ◽  
Lagrange Method ◽  
First Order ◽  
Influence Coefficient Method ◽  
Coefficient Method

A three-DOF parallel manipulator with two rotations and one translation was put forward as a levelling mechanism in this paper. Its structure and kinematics were analyzed and the first-order influence coefficient matrix was obtained by using the influence coefficient method. Then the complete and concise dynamic equations without too many unknowns were established based on Lagrange method. In addition, the dynamics simulation was carried out and the result shows that drive forces of the legs have no strong coupling, which is important to control system design.

Analysis and Control of the 1st Order Interior Noise and Vibration Induced by Driveline Imbalance for 4WD Vehicle

2016 ◽  
Author(s):  
Yuanfeng Xia ◽  
Jian Pang ◽  
Rui Liu ◽  
Wenjuan Li ◽  
Jianchun Xu
Keyword(s):  
The Body ◽  
Influence Coefficient ◽  
Vehicle Interior ◽  
Single Plane ◽  
Acoustic Cavity ◽  
Testing Method ◽  
Sensitivity Theory ◽  
Influence Coefficient Method ◽  
And Control ◽  
Coefficient Method

Based on the influence coefficient method of the single-plane and multi-plane imbalance, an experimental method of a 4WD driveline system imbalance is proposed. A sensitivity theory and a testing method of influence of the 4WD driveline system imbalance on the vehicle interior 1st order vibration and noise are proposed. According to the influence coefficient method of the single plane, this paper puts forward an imbalance separation method for the driveline components, especially the imbalance separation between the driveshaft and the axle. Based on the problems and phenomena of the 1st order interior vibration and noise induced by the driveline imbalance transferring through the body floor and the interior acoustic cavity, the driveline imbalance sensitivity, the dynamic imbalance of the driveshaft and the driveline system are analyzed separately. Finally, the control methods of the dynamic imbalance and sensitivity of the 4WD vehicle driveline system are provided.

A MODIFIED APPROACH BASED ON INFLUENCE COEFFICIENT METHOD FOR BALANCING CRANK-SHAFTS

2000 ◽  
Vol 234 (2) ◽  
pp. 277-296 ◽  
Author(s):  
Y. KANG ◽  
Y.-P. CHANG ◽  
M.-H. TSENG ◽  
P.-H. TANG ◽  
Y.-F. CHANG
Keyword(s):  
Influence Coefficient ◽  
Influence Coefficient Method ◽  
Coefficient Method
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