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The Butterfly Effect

The Butterfly Effect How a seemingly throwaway line on a resume led to a fulfilling career in tribology The downturn in employment opportunities over the past several years reminds me of the difficulties I faced upon graduating…the first time. There I was, freshly out of my school’s chemical engineering program and waiting to hear back…
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Sources of Copper

Sources of Copper Copper usually appears in fluid samples as a wear metal, most often arising from brass or bronze components. Whether gears, bearing cages, guides, bushings, or piston shoes, brass and bronze parts are alloys of copper lead, tin, and/or zinc. Being an alloy, the wear metals from these parts will remain proportional as…
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Sources of Iron

Sources of Iron Iron is commonly expected to be found in samples as a wear metal, as it is the foundation element in all forms of steel, which is by far the most prevalent material in lubricated machines. It will often correlate with other metals like chromium, titanium, molybdenum, and vanadium; if the correlation remains…
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Introduction to Elemental Spectroscopy

Introduction to Elemental Spectroscopy Elemental spectroscopy measures in-service fluid samples for wear metals, additives, and contaminants. The method used to perform the measurement is properly termed Inductively Coupled Plasma Atomic Emission Spectroscopy (ICP-AES) and the results are commonly referred to as ICP or spec results. The measurement is performed by diluting a sample with solvent…
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THE TRIBOLOGY ZONE

THE TRIBOLOGY ZONE There is a film dimension beyond that which is known to common man. It is a dimension as vast as clearance space and as timeless as momentary. It is the middle ground between contact and hydrodynamic, between science and superstition, and it lies between the pit of Man’s fears and the summit…
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Why One Oil Sampling Point Isn’t Always Enough

Why One Oil Sampling Point Isn't Always Enough The starting point of any great oil analysis program begins with obtaining representative samples. The goal of oil sampling is to maximize data density while minimizing data disturbance. You maximize data density by sampling in the right location with the right equipment at the right time. Often,…
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