Lubrication Explained - Oil Analysis with Evan Zabawski

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"Rafe welcomes Evan Zabawski, Senior Technical Advisor at Test Oil, for an in-depth discussion on the world of oil analysis. Evan shares his extensive experience, exploring the evolution of oil analysis from its early days to modern practices, and explains why many organizations are still stuck in the “traffic light” mindset."

This is a long video and a general discussion on how, what, and why oil analysis has its benefits, and its limitations. Synopsis: oil analysis on its own really isn't beneficial without having sets of UOA data for trend analysis and boots-on-the-ground understanding of the equipment to help paint a picture of what's happening.

 
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This is a extremely nice educational video. BITOG UOA is not even close to what they do at Rio Tinto who have oil analysis, vibration, ultrasonic and thermalography analysis. Deep pockets.
 
LE is a great source of information.
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Good info is good info, no matter how many times it's played. Some are better at understanding reading better than video format or vice versa so all sources of good info beats the other lousy thread any day of the week especially from educated folks like LE & who he has brought into his channel. We gripe about bad info & then when it's good info presented "nothing to see here" when I think good education needs repeating for many including myself.
 
I watched the whole video. I find myself in agreement with him.
He addresses:
- "lube, fail, repeat" (PM not based on data, but past practice)
- "sigma" bounds (statistical analysis)
- "hangover" (residual elements) after OCI
- "rate of change" (wear rates)
- "normal" individual data bundles (what is normal; micro data vs. macro data sets)
- "four technologies" (UOA being only one of several analysis tools ... oil, vibration, thermal, particle) and how they all have strengths and weaknesses


Gee - those all sound eerily familiar ... ;)
 
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I watched the whole video. I find myself in agreement with him.
He addresses:
- "lube, fail, repeat" (PM not based on data, but past practice)
- "sigma" bounds (statistical analysis)
- "hangover" (residual elements) after OCI
- "rate of change" (wear rates)
- "normal" individual data bundles (what is normal; micro data vs. macro data sets)
- "four technologies" (used oil analysis being only one of several analysis tools ... oil, vibration, thermal, particle) and how they all have strengths and weaknesses


Gee - those all sound eerily familiar ... ;)
I knew there's always residual oil from the previous OCI, but if my memory hasn't failed me (again), in the video, they said about 40% of a used oil analysis is influenced by this "hangover", as you've appropriately described it.

In my mind, I don't want to be switching oils often due to the cumulative effects of adding new oil to residual. Keeping oil consistent seems logical to me, but obviously I'm not an oil expert... just another person with an opinion.
 
I don't think 40% isn't an assured value; it would be vastly dependent upon specific situational conditions.

The Ford/Conoco study proved that there is some wear associated with the removal of the TCB (SAE 2007-01-4133) at the front end of an OCI. Certainly, there is residual oil left as well.

It would be improbable to be able to ascertain how much of which of the two contributors would equal "X" and "Y" % effect.
 
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