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.

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 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.

Measuring Principle of Dynamic Unbalance for Crankshaft

2014 ◽  
Vol 697 ◽  
pp. 222-225
Author(s):  
Jun Chang
Keyword(s):  
Support System ◽  
Signal Analysis ◽  
Mechanical Design ◽  
Measuring System ◽  
Influence Coefficient ◽  
Dynamic Balancing ◽  
Influence Coefficient Method ◽  
Dynamic Unbalance ◽  
Coefficient Method ◽  
Theoretical Side

measuring principle of dynamic unbalance and calibration process is the key point of the crankshaft production, which refers to the unbalance theory, mechanical design, sensors, and signal analysis. It is a complex and comprehensive technology. This paper mainly introduces the measuring principle of dynamic unbalance for crankshaft from theoretical side. Firstly, we will introduce the calculation theory of dynamic balancing; secondly, we will introduce the measuring system of crankshaft dynamic balancing, which includes support system and measuring system.Key words: dynamic balancing, influence coefficient method, support system, measuring system

scholarly journals Investigation on transient dynamic balancing of the power turbine rotor and its application

2021 ◽  
Vol 13 (4) ◽  
pp. 168781402110073
Author(s):  
Wangqun Deng ◽  
Mengyu Tong ◽  
Qingyang Zheng ◽  
Xingmin Ren ◽  
Yongfeng Yang
Keyword(s):  
Turbine Rotor ◽  
Influence Coefficient ◽  
Type I ◽  
Dynamic Balancing ◽  
Single Plane ◽  
Transient Dynamic ◽  
Butterworth Filter ◽  
Power Turbine ◽  
Influence Coefficient Method ◽  
Coefficient Method

In the dynamic balancing procedure of the rotor system, the unbalance is determined as a principal parameter which should be identified firstly. In actual engineering, the interference of external noise on the rotor is usually the main factor influencing the identification. In this paper, we focus on the unbalance identification of the power turbine rotor while the vibration response is influenced by signal interference during the balancing process in actual engineering. Fast Fourier Transform (FFT) and wavelet transform are used to analyze the collected original signal. Butterworth filter and Chebyshev type I filter are employed to test signal processing. The transient dynamic balancing method and the single plane influence coefficient method are used to balance the three balancing bosses of the rotor, and the balance efficiency is compared. The results show that, the signal fluctuation of boss 3 in high-frequency band is less than boss 1 and boss 2. Butterworth filter is more effective than Chebyshev type I filter in filtering the transient response data. The transient dynamic balancing method requires one test run without any trial-weights. More importantly, compared with the influence coefficient method, the transient dynamic balancing method has a better balancing effect.

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.

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