Machinery Lubrication magazine published by Noria Corporation
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2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 *2017 *2018 $ Cost of oil disposed of based on 12 pieces of vital equipment being preventively maintained semi-annually In addition to the use of particle counting, which is one of the techniques that best characterizes lubricant severity and condition, trend analysis of this condition is also very important. is trend will alert you to how quickly you must intervene. Global values quantify the severity of the problem. However, it is not enough to simply charac- terize the problem. With this technique, the frequency spectrum is used. In oil analysis, when a certain amount of iron is detected in the oil sample, no conclu- sion can be reached if you do not observe the morphology of the particles. Large particles describe the onset of wear, in which case changes in vibration analysis may already be seen. us, the shape and size of the parti- cles are essential to indicate the source of the problem. e most common types of oil analysis provided by laboratories are viscosity, particle count, water content, acid number, base number and particle size. Keep in mind that water in oil has been shown to greatly accel- erate equipment wear-and-tear and requires urgent intervention. is contaminant is very aggressive to machine components, increasing both the oil oxidation process as well as the friction between metals. A good lubrication plan will clearly describe the entire sampling process, including how to collect, store and trans- port oil samples to ensure the reliability of the analysis results. is is why lubrication technicians should be trained for these tasks. Care and guidance on how to perform sample identification and submission for analysis will be of no less importance. COVER STORY 10 | January - February 2020 | www . machinerylubrication.com Figure 5. The quality of sample collection determines the quality of the analysis. Figure 6. An exposed gearbox with a desiccant breather installed Figure 7. High silicon content was identified in two oil samples. Figure 8. Iron content trend for the soybean elevator reducer Figure 4. Potential failure curve