Evaluation of BAUER K-22.0 High Pressure Breathing Air Compressor.

1994 ◽  
Author(s):  
George D. Sullivan
Keyword(s):  
High Pressure ◽  
Air Compressor

Research on Sealing Performance in High Pressure Oil-Free Miniature Air Compressor

2017 ◽  
Author(s):  
Yipan Deng ◽  
Yinshui Liu ◽  
Fan Li ◽  
Pengyun Tian ◽  
Na Miao
Keyword(s):  
Mathematical Model ◽  
High Pressure ◽  
Pressure Distribution ◽  
Research Work ◽  
Piston Rings ◽  
Premature Failure ◽  
Air Compressor ◽  
Sealing Performance ◽  
Rotary Speed ◽  
Discharge Pressure

High pressure oil-free miniature air compressor has an irreplaceable role in some high demand areas such as cooling, scuba diving and pneumatic catapult due to its remarkable advantages such as compacted size, lightened weight and clean output gas. As the important sealing component in the high pressure oil-free miniature air compressor, piston rings hold the properties such as tiny diameter (less than 10mm), high sealing pressure (up to 410 bar) and high surrounding temperature (up to 500K), which make them distinctive from conventional piston rings. A mathematical model was established to simulate the pressure distribution of the compressor chamber, as well as the gap between the sealing rings. Sensitive parameters were considered to investigate their effects on the sealing performance such as the number and the cut size of the piston rings, the suction and discharge pressure and the rotary speed. The mathematical model was verified by comparing to published experimental research work. These work help to reveal the severe non-uniformity of the pressure distribution of different chambers, which were suggested be the primary cause of the premature failure of the sealing rings, thus improving the sealing performance and the service life of the air compressor.

Researches of Similitude Theory for Axial Flow Helium Compressor

2008 ◽  
Author(s):  
Rongkai Zhu ◽  
Qun Zheng ◽  
Guoqiang Yue ◽  
Jiguo Zou
Keyword(s):  
High Pressure ◽  
Axial Compressor ◽  
Axial Flow ◽  
Similarity Criterion ◽  
Physical Parameters ◽  
Adiabatic Exponent ◽  
Aerodynamic Design ◽  
Air Compressor ◽  
Accurate Design ◽  
Similitude Theory

In designing of a helium axial compressor from its homologous air compressor, the similarities between them have to be investigated. Such as how to establish the similarity criterion, how to prescribe the experimental air compressor’s parameters by the similitude laws, how to get the performance data of helium compressor from the air compressor test data etc, are important for the accurate design. The first stage of a high pressure helium compressor is taken as experimental model, with air as the working fluids in the experiments. The differences of physical parameters of helium and air, like density, viscosity, adiabatic exponent have been considered. The similitude laws used in the experiment have been established, and the reasons of deviation and correcting methods are analyzed. These results are useful references for the aerodynamic design of helium compressor.

scholarly journals Design and Verification Test of the Primary and Secondary Stage Compression Gap Size of Miniature High Pressure Air Compressor

2021 ◽  
Vol 1802 (2) ◽  
pp. 022080
Author(s):  
Lihua Yang ◽  
Bo Fang ◽  
Shengguan Qu ◽  
Xiaoqiang Li ◽  
Tao Mao ◽  
...  
Keyword(s):  
High Pressure ◽  
Gap Size ◽  
Air Compressor ◽  
Secondary Stage ◽  
Verification Test

High Pressure Air Compressor Condition Monitoring Using Unsupervised Pattern Classification Based on Projection Networks

2005 ◽  
Author(s):  
C. James Li ◽  
C. Jansuwan
Keyword(s):  
High Pressure ◽  
Supervised Classification ◽  
Clustering Algorithm ◽  
Unsupervised Classification ◽  
Single Class ◽  
Air Compressor ◽  
Classifier System ◽  
Discharge Valve ◽  
Air Compressors ◽  
Projection Network

High pressure air compressors (HPAC) are a high maintenance machine for they break down more often than expected and they serve critical roles. This study established the utility of an unsupervised pattern classifier system integrating a clustering algorithm based on DBSCAN and a dynamic classifier based on projection network to classify the condition of a 4-stage high pressure air compressor. The clustering algorithm is used to form clusters from un-labeled data and eliminate outliers. Subsequently, a system of projection networks is established to recognize all the significant clusters. The compressor data is consisted of pressures and temperatures at all four stages taken under various conditions including different baseline conditions, 3rd stage suction valve fault, 3rd stage discharge valve fault, and cylinder pitting and corrosion. The clustering algorithm was able to form clusters that each individually contains data mostly from a single class, and the projection network was able to differentiate these clusters and therefore classify the condition of the compressor correctly about 94% of the time. The ability of unsupervised classification does come with a price of lower classification accuracy. It was about 5% lower than what was accomplished by supervised classification.

Parameter Optimization of Compressor Based on an Ant Colony Optimization

2012 ◽  
Vol 201-202 ◽  
pp. 916-919
Author(s):  
Mei Peng Zhong
Keyword(s):  
High Pressure ◽  
Ant Colony Optimization ◽  
Low Pressure ◽  
Ant Colony ◽  
High Pressure Cylinder ◽  
Air Compressor ◽  
Pressure Cylinder ◽  
Set Up ◽  
Air Compressors ◽  
Particle Approach

A mathematical model of operation on air compressors is set up in order to improve the efficiency of air compressors. Parameter of Compressor is optimized by an Ant Colony Optimization (ACO) Particle approach. Volume and its weight of the new compressor are little, and its efficiency is high. An Ant Colony Optimization embed BLDCM module which optimizating the air compressor was put forward. Optimizated target of an Ant Colony Optimization is the efficiency of BLDCM. Optimizated variables are the diameter of low pressure cylinder, the diameter of high pressure cylinder, the journey of low pressure piston, the journey of high pressure piston and the rotate speed of BLDCM. Simulated result shows that the efficiency of BLDCM is more than that before optimizating. The test is done. The result shows that the specifc Power of air compressor is much less than before optimizating on 2.5Mpa. The result also shows that an Ant Colony Optimization which optimizating the air compressor is availability and practicality.

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