July/August Webinars - Condition Monitoring Series & Additives

Join us this month for educational webinars taught by subject matter experts. These experts come from within the STLE audience, so they know exactly what information you need and want to know. General topics featured in the coming months are Condition Monitoring (events held July 18 & 8/23) and Additives (held on 8/29). Registration deadlines are the Monday before the event, so be sure to get in on time to ensure space and that you get all the event information you'll need.

Why attend an STLE University webinar?
Because STLE University is "Education Your Way: Focused, Flexible and Accessible."

• Focused: topics are centered around those in the STLE audience - lubrication engineers and tribologists - providing practical education for all. Plus, we work to meet all levels - from the basics to more advanced topics, we have a wide variety of offerings for you.
• Flexible: attend live or try one of our archived webinars or online courses - these can be done on your schedule to fit your needs and your calendar.
• Accessible: both in terms of logging online and the cost to attend a webinar or online course - this is the most economical and trusted outlet of education in the industry.

JULY/AUGUST
July marks the start of the Condition Monitoring Data Interpretation Series. This series will be taught by Evan Zabawski, VP of Technical Services with CAN-AK, and Editor of TLT. The series includes 6 topics that center around Data Interpretation, however each event is a self-contained module, so you can choose to attend one, a couple or all 6 events (you get a discount if you register for all 6). Topics include:

• Advanced Data Interpretation: This introductory module will discuss what types of alarm limits are used, how they are applied and how to derive better ones.  This will lead into discussions on how better alarm limits will enable deeper interpretation such as identifying patterns and trends, isolating bad actors and erroneous data.
• Spectrographic Data Interpretation, Part I: Contaminants & Wear: The second module of this series will segment a typically used oil analysis report and focus on how to identify the correct causes and effects when reading the spectrographic data pertaining to contaminants and wear material.
• Spectrographic Data Interpretation, Part II: Additive Metals: The third module of this series will continue along the lines of the previous module, but rather focusing on changes found in the additive elements measured by spectrometry.
• Physical Properties Data Interpretation: The fourth module of this series will transition over to correct interpretation of the changes found in the physical and chemical properties of the oil, such as viscosity, FTIR (soot, oxidation, nitration and sulphation) and checks for fuel, water and glycol.
• Additional Testing (FTIR, AN, BN and Particle Counts): The fifth module of this series will wrap up the individualized parameter review by discussing interpretation of results such as particle count, optical particle classification, acid number and base number.
• Advanced Report Reading: The final module of this series will impart tips on quickly and effectively reading a standard oil analysis report and move into a review of generalized examples applicable to virtually any application.

We'll also be hosting the Basics of Lubricant Additives, taught by Chris Schmid, Lubrizol.

Overview: In this webinar, you will gain a basic understanding of lubricant additives including what additives are, why they are used, and the major types of additives used in today’s lubricants. Each additive will then be examined in depth as to how it works and why it is used, including the benefits of each additive type. This is a great webinar for the end user or someone just starting out.

If you have any quesitons, please contact Kara Sniegowski at (847) 825-5536 or at klemar@stle.org.

Do you have specific topics you'd like STLE to offer in a webinar or online course format? Tell us in the comments below and we'll work it into the upcoming schedule.