scholarly journals The Wear Condition of Spur Gearbox under Variable Loads using Wear Debris Analysis Technique - An Investigation

2017 ◽  
Vol 7 (2) ◽  
pp. 1-8
Author(s):  
A. S. Kushwah et al., A. S. Kushwah et al., ◽  
Keyword(s):  
Wear Debris ◽  
Analysis Technique ◽  
Spur Gearbox ◽  
Wear Condition ◽  
Wear Debris Analysis

Experimental Study and Analysis on Incipient Stage of Cavitation Erosion

2007 ◽  
Author(s):  
Jiadao Wang ◽  
Shihan Liu ◽  
Li Qin ◽  
Darong Chen
Keyword(s):  
Experimental Study ◽  
Wear Debris ◽  
Cavitation Erosion ◽  
Rotating Disk ◽  
Mechanical Action ◽  
Incipient Stage ◽  
Micro Particles ◽  
Analysis Technique ◽  
The One ◽  
Wear Debris Analysis

Cavitation erosion has been studied for over one hundred years, but its mechanism is still uncertain. It has been found in this research that the existence of micro particles is an important factor to induce cavitation erosion. Experiments in rotating disk equipment were performed, and there is no obvious damage on sample after 5 minutes test in deionzed water, while the one tested in deionzed water with 500nm particles is eroded. Wear debris analysis technique was applied to study the particulates formed in the experiments, and results showed that many debris several micro-meters in size were yielded, which agreed with the scale of the cavitation pits on the sample. It was demonstrated that the mechanical action induces the cavitation erosion.

Image based portable wear debris analysis tool

2015 ◽  
Vol 67 (4) ◽  
pp. 389-398 ◽  
Author(s):  
Muhammad Ali Khan ◽  
Ahmed Farooq Cheema ◽  
Sohaib Zia Khan ◽  
Shafiq-ur-Rehman Qureshi
Keyword(s):  
Real Time ◽  
Wear Debris ◽  
Machine Component ◽  
Analysis Tool ◽  
Content Type ◽  
Real Time Analysis ◽  
Distribution Shape ◽  
Basic Features ◽  
Health Diagnosis ◽  
Wear Debris Analysis

Purpose – The purpose of this paper is to show the development of an image processing-based portable equipment for an automatic wear debris analysis. It can analyze both the qualitative and quantitative features of machine wear debris: size, quantity, size distribution, shape, surface texture and material composition via color. Design/methodology/approach – It comprises hardware and software components which can take debris in near real-time from a machine oil sump and process it for features diagnosis. This processing provides the information of the basic features on the user screen which can further be used for machine component health diagnosis. Findings – The developed system has the capacity to replace the existing off-line methods due to its cost effectiveness and simplicity in operation. The system is able to analyze debris basic quantitative and qualitative features greater than 50 micron and less than 300 micron. Originality/value – Wear debris basic features analysis tool is developed and discussed. The portable and near real-time analysis offered by the discussed work can be more technically effective as compared to the existing off-line and online techniques.

Analysis of the Behaviour of Rolling Bearings in Contaminated Oil Using Some Condition Monitoring Techniques

2006 ◽  
Vol 220 (5) ◽  
pp. 447-453 ◽  
Author(s):  
T Akagaki ◽  
M Nakamura ◽  
T Monzen ◽  
M Kawabata
Keyword(s):  
Vibration Analysis ◽  
Wear Debris ◽  
Friction And Wear ◽  
Rolling Bearing ◽  
Rolling Bearings ◽  
Deep Groove ◽  
Deep Groove Ball Bearing ◽  
Observation Results ◽  
Wear Debris Analysis ◽  
Worn Surfaces

Friction and wear behaviours of rolling bearing in contaminated oil containing white-fused alumina particles were studied. The friction and wear processes were monitored using wear debris analysis, such as ferrography and spectrometric oil analysis program, and vibration analysis. Test bearing was a deep groove ball bearing (6002P5); Wear debris and worn surfaces of the bearing components were observed with a scanning electron microscope (SEM). It was found that the friction coefficient in the contaminated oil became lower by about 0.001 than that in the new oil for the large contaminants. The results of wear debris analysis showed that the large contaminants caused the high wear rate in the bearing. Three types of wear debris were commonly observed: thread-like debris, cutting chip debris, and plate-like debris. On the basis of the SEM observation results of the worn surfaces, wear mechanisms of these wear debris were discussed. The results of vibration analysis showed that the probability density function of vibration waveform was normal distribution in both the new and contaminated oils. In the contaminated oil, it changed depending on the contaminant size and the runtime, i.e. the progress of wear in the bearing. The result of wear debris analysis was related to that of vibration analysis and discussed.

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