Rigid Rotor Dynamic Balancing by Two-Plane Correction with the Influence Coefficient Method

2013 ◽  
Vol 365-366 ◽  
pp. 211-215 ◽  
Author(s):  
Xiang Xu ◽  
Ping Ping Fan
Keyword(s):  
Dynamic Balance ◽  
Balance Model ◽  
Inertia Force ◽  
Influence Coefficient ◽  
Rigid Rotor ◽  
Dynamic Balancing ◽  
Balance Test ◽  
Influence Coefficient Method ◽  
Rotor Dynamic ◽  
Coefficient Method

A rigid rotor dynamic balance model was established to analyze the vibration form of a rigid rotor under unbalance inertia force. The principle of two-plane correction with the influence coefficient method had been conducted, and the principle of the cross-correlation method calculating amplitude and phase of unbalance vibration signal was introduced. The method was found to be effective and practical. A dynamic balance test program was performed on a rigid rotor vibration simulation instrument and a dynamic balancing analyzer based on LabVIEW, which showed that rigid rotor dynamic balancing by two-plane correction with the influence coefficient method could satisfy the performance and required precision.

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.

Analysis of Imbalance Calculation Method in Dynamic Balancing Machinery

2017 ◽  
Vol 868 ◽  
pp. 218-223
Author(s):  
Jin Xiang Pian ◽  
Chun Yu Pu ◽  
Zhan Wang ◽  
Yuan Wei Qi
Keyword(s):  
Calculation Method ◽  
Dynamic Balance ◽  
Influence Coefficient ◽  
Improved Method ◽  
Dynamic Balancing ◽  
Actual Production ◽  
Experimental Environment ◽  
Development Direction ◽  
Influence Coefficient Method ◽  
Coefficient Method

The development of dynamic balancing machinery has gradually become mature. Experts and scholars have developed many kinds of actuators, which can achieve dynamic balance. But the imbalance in most dynamic balancing machinery is still obtained by using the influence coefficient method. In this paper, it made an analysis of the influence coefficient method and its improved method. The analysis indicates that, with the limitation of adding trial mass, these methods are mostly used in experimental environment. But for the actual production and processing, the feasibility of the application is not so hot. Therefore, looking for an imbalance calculation method without trial mass is particularly important, which is the development direction of dynamic balance technology in future.

On the Overhung Rigid Rotor Balancing

2000 ◽  
Author(s):  
José A. Méndez-Adriani
Keyword(s):  
Efficient Technique ◽  
Influence Coefficient ◽  
Rigid Rotor ◽  
Cross Effect ◽  
Calibration Process ◽  
The Third ◽  
Influence Coefficient Method ◽  
The Cross ◽  
Rotor Balancing ◽  
Coefficient Method

Abstract This article develops a more efficient technique for the balancing of the overhung rigid rotor, which is a variation of the exact influence coefficient method, that gives directly the correction weights for both balancing planes. During the calibration process, one trial weight is used for the second run and, to reduce the cross effect, only one trial weight to form a couple is used for the third run, improving the field balancing method for maintenance works.

Study on Dynamic Balance Weighting for Single-Disk Rotor System Based on Phase Difference Mapping

2012 ◽  
Vol 430-432 ◽  
pp. 1437-1441 ◽  
Author(s):  
Qing Liang Zhao ◽  
Hua Qing Wang ◽  
Jin Ji Gao
Keyword(s):  
Phase Difference ◽  
Dynamic Balance ◽  
Mechanical Vibration ◽  
Rotor System ◽  
Influence Coefficient ◽  
Weighting Method ◽  
Single Disk ◽  
Influence Coefficient Method ◽  
Rotor Mass ◽  
Coefficient Method

The rotor mass imbalance is main reason of rotating mechanical vibration. A new dynamic balance weighting method for single-disk rotor system based on phase difference mapping is presented. Firstly, the influence coefficient method and its characteristics are analyzed in detail. Secondly, the equivalent phase difference mapping relationship between incentive and vibration response for single-disk rotor system is proved by differential equations and Laplace transform theory. Finally, a specific application instance is showed. The new method is simple and easy to peel the phase coupling relationship between incentive and response, which can be used to guide dynamic balance weighting for single-disk rotor system on site.

A Method to Select Weights in Online Dynamic Balance Technology Based on Rotor-Active Magnetic Bearing System

2017 ◽  
Author(s):  
Yan Xunshi ◽  
Zhao Jingjing ◽  
Sun Zhe ◽  
Shi Zhengang
Keyword(s):  
Dynamic Balance ◽  
Magnetic Bearing ◽  
Active Magnetic Bearing ◽  
Influence Coefficient ◽  
Rotating Speed ◽  
Balance Weight ◽  
Influence Coefficient Method ◽  
Short Time ◽  
Coefficient Method ◽  
Bearing System

Online dynamic balance technology is the key to rotor-active magnetic bearing system, which helps the rotating speed of the system surpass the critical speed. Usually, balance weight and angle are calculated by influence coefficient method. However, how to decompose the weight and angle into sub-weights fixed in the balance holes is troublesome, and determined manually by trial and error, which is always time-consuming. In this paper, a new hierarchical and automatic method is proposed to find the optimized solution to select proper sub-weights in a short time, which limits to a pre-defined error. The algorithm focuses on reducing the move of sub-weights and addition of new sub-weights. Experiments show our algorithm perform effective and efficient.

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