automatic particle counting in greases: stle2015 presentation by rich wurzbach
TRANSCRIPT
1© 2015 MRG Laboratories. All rights reserved.
Automatic Particle Sizing and Counting in Greases
Rich Wurzbach
MRG Labs
York, Pennsylvania, USA
2© 2015 MRG Laboratories. All rights reserved.
Background
• Particle counting is very important part of oil analysis programs.
• Filtration and online contamination monitoring are used to maintain lubricant cleanliness.
• No commercial-scale contamination tests for grease as exists for oil, such as laser scattering particle counting.
• Abrasive contamination can be just as destructive in grease applications.
• Monitoring can allow for intervention through improved handling and manufacturing practices, grease flushing, and changes to relubrication frequency, volume.
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Current Methods
• Direct– Analytical Ferrography – Labor intensive, difficult
preparation– Federal Standard 791D, Method 3005.4, Dirt Content of
Grease, microscopic evaluation– DIN 51813, Solid Matter Content of Lubricating Greases
• Indirect– Elemental Spectroscopy – Elemental concentration don’t
tell the whole story– P-Q testing with Hall Effect sensor – Only Ferrous debris– Hegman Gage – Semi-quantitiative based on size– ASTM D1404 "Deleterious Particles" - effect of particles
on scratching plates
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Current Methods
• DIN 51813, Solid Matter Content of Lubricating Greases
• Federal Standard 791D, Method 3005.4
• Hegman Gage, ASTM D1210
4Source: “Deleterious Particles in Lubricating Greases”, C. Coe, STLE Online
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Current Methods
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• Analytical Ferrography• ASTM D1404, Estimation of
Deleterious Particles in Lubricating Grease
Source: www.koehlerinstrument.com/products/K19300.html
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Limitations of current methods
• Subjective interpretation of results• Selection of solvent critical to some tests,
may be more difficult when evaluating inservice lubricants to get complete dissolution
• Time consuming and some expertise may be required
• None would be considered production lab ready
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New Method: Particle Counting
• New method uses ASTM D7718 sampling standard capture device for presentation of 1 gram representative sample
• Samples can be obtained from:– new grease in manufacturing process– packaged new greases upon opening– stored greases in opened packages– grease guns and auto-lubers– inservice samples in the machine
• Method sizes and counts particles reliably down to 10 micron in major axis, and provides aspect ratio and other characterization information
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Analysis Techniques
Sample is received. fdM+ is run Die extrusion is performed and substrate is made
Two strips are used to make a dilution to run RDE/ICP.
One Strip is used for FT-IR.
One Strip is Dissolved in Green RULER solution to run RULER.
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Die extrusion and sample preparation
•Extrusion of the grease at varying rates
•Load cell response used to measure flow and shear characteristics of grease
•Compared to new fresh grease
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Oil Particle Counter Principle Adapted
• Standard Test Method for Automatic Particle Counting and Particle Shape Classification of Oils Using a Direct Imaging Integrated Tester
• Use of camera and particle identification and sizing software originally used for flow-through oil particle characterization
• Modification of platform and use of alternate lighting methods
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Direct Imaging Particle Counter-Oil
Source: http://www.jmcanty.com/Items.aspx?catId=111
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Direct Imaging Particle Counter-Very High Viscosity Fluid
Source: http://www.jmcanty.com/Items.aspx?catId=111
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Camera Set-up
• Thin Film extrusion sample preparation
• Telecentric lens
• Fixed magnification of .60x
• View is 11.79 mm x 8.88 mm
• Strobing LED Backlight
• Strobe pulses are adjusted depending on the opacity of the sample
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Challenges
• Strobing backlight solved 2 problems
– Testing with frontlight set-ups were unsucessful due to the glare produced by the grease surface
– Samples were too dark and the film was too thick to employ a traditional backlight – the bulb would burn out at the required intensity.
• Thin film preparation
– Provides a consistent gap thickness
– Allows for volumetric calculations
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Case Study
• Chiller Motor ODE Bearing sample
• Relatively low wear levels• Slightly elevated
concentrations of elements the could be environmental contamination
• Also showed signs of grease product mixing
• Elemental Spectroscpy doesn’t show the whole picture
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Fe Al Si Mg Zn FdM
3.1 2.4 9.5 34 645 99
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Particle Counting
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Sample Image Image with filter and particleshighlighted
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Particle Counting - Results
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Particle Count: 327
Mean Area: 1564.2
Mean Major Axis: 45.0
Min Major Axis: 14.6
Max Major Axis: 184.2
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Future Work
1. Integration of technology to take video during extrusion
– This will allow for count averaging across a video instead of an image
1. Automation of the data collection process
2. Particle identification and characterization
– Differentiating severe wear modes from normal rubbing wear
1. Establishing target limits and evaluation criteria for different applications
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