Wireless Field Dynamic Balancing Experimental System Based on Phaseless Three-point Influence Coefficient Method

2021 ◽  
Author(s):  
Junquan Tang ◽  
Wenzhu Wu ◽  
Lili Yi
Keyword(s):  
Experimental System ◽  
Influence Coefficient ◽  
Dynamic Balancing ◽  
Influence Coefficient Method ◽  
Field Dynamic ◽  
Coefficient Method ◽  
Field Dynamic Balancing

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.

scholarly journals Research on the Field Dynamic Balance Technologies for Large Diesel Engine Crankshaft System

2017 ◽  
Vol 2017 ◽  
pp. 1-10 ◽  
Author(s):  
Shihai Zhang ◽  
Zimiao Zhang
Keyword(s):  
Diesel Engine ◽  
Field Experiments ◽  
Vibration Signal ◽  
Least Square Method ◽  
Least Square ◽  
Influence Coefficient ◽  
Dynamic Balancing ◽  
Field Dynamic ◽  
Engine Crankshaft ◽  
Field Dynamic Balancing

In order to reduce the unbalancing mass and the accompanying unbalancing vibration of diesel engine crankshaft system, the field dynamic balancing method and its key technologies are presented in the paper. In order to separate the unbalancing vibration signal from the total vibration signal of crankshaft system, the fundamental frequency signal fitting principle based on the least square method was introduced firstly, and then wavelet noise reduction method was applied to improve the signal fitting precision of least square method. Based on the unbalancing vibration signal analysis and assessment of crankshaft system, the influence coefficient method was applied to calculate the value and phase of the equivalent unbalancing mass in flywheel. To easily correct the unbalancing condition of crankshaft system, the unbalancing adjustment equipment was designed based on the flywheel structure. The balancing effect of field dynamic balancing system designed for the large diesel engine has been verified by field experiments.

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.

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.

Sign in / Sign up

Export Citation Format

Share Document