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Technical Information Part 1
Here at OCLS, we use a variety of different methods to analyse your oil in order
to bring you accurate and reliable data. The following articles provide a little insight into some of the tests we currently
offer.
Particle Counting A
test you can count on
Particle counting is absolutely ideal for maintaining your system's cleanliness.
Although, it's true that particle counting isn't always appropriate for all fluid types and systems. Whilst it's
excellent for determining the number and size of particles being generated, particle count won't tell you the type of
particles that are present. Metallic (both ferrous and non-ferrous), silica (dirt / dust), silt, filter fibres, bacteria
colonies, varnish agglomerations, water, are all classed simpyl as 'particles' by the instrument. Therefore,
the choice of whether or not to do particle count testing should be based on what data is relevant to your equipment and it's
application.
The equipment types that are most relevant to particle counting are hydraulics, compressors, refrigeration compressors, turbines, automatic transmissions, natural gas engines, robotics, injection moulding machines and "filtered" bearing or gear systems. Particle counting is also idea for diesel fuel, solvents, water-based hydraulic fluids and lubricants. New oils from these units can also benefit as it tells you how clean the oil is when first introduced to the system. Many people aren't aware of the fact that a new oil may actually have a higher particle count than used oil from the machine. This is because oil can pick up dirt during the manufacturing process, which gives you an indication of the quality control applied during the process. Unwanted contaminatnts can also be picked up during transport and distribution as new oils are transferred from container to container. If a gear system is filtered then particle count data may be prove useful. However, if the gearbox is not filtered, particle counting won't provide as much useful information as would other tests such as PQ/FW (Particle Quantifier / Ferrous Wear) or DR (Direct Read) Ferrography. Diesel engine oil is black (due to the soot particles) and requires techniques other that laser particle counting. FW/PQ, DR Ferrography and Wear Debris Analysis are probably wiser choices. (WDA is a vital tool in failure and warranty issues). Oil Cleanliness Cleanliness is a term used to describe the relative quantity of contaminant particles present within a given system. A useful way to gauge the cleanliness of a fluid is by referring to a number of internationally-agreed standards. Every machine has its own optimum cleanliness level. This level will be based on a number of factors, the main ones being keeping the machine at optimum efficiency and the costs of maintaining cleanliness. Cleanliness doesn't just refer to the particles that you can see - there are also some that are
invisible to the naked eye! Have a look at the comparison chart below. How is cleanliness measured?
The most common standard used to rate cleanliness is "ISO 4406". The table to the left shows the numbers the make up an ISO Code that are used to represent the number of contaminant particles present in 1ml of oil. The whole ISO code is a three-number code that summarises the cleanliness of your oil. This code relates specifically to the number of particles present that fall within certain size ranges. These ranges are: >4 µm, >6 µm and >14 µm in size. 1 µm = 0.000001 m (1 x 10-6 m) = 0.001 mm. The symbol '>' is used to mean 'greater than'. The unit 'µm', pronounced 'micrometer' is commonly referred to as simply 'micron'. What does the ISO code mean? Let's use the example ISO code: 23/21/16 23 / 21 / 16 The first number in the code refers to all particles found that were greater than 4 microns in size but were less than 6 microns. The second number in the code refers to all particles found that were greater than 6 microns in size but were
less than 14 microns. The thrid number in the code refers to all particles found that were greater than 14 microns in size. The
code is determined by looking at the table to the left. For example, suppose we analyse an oil and it gives us readings of... 72,064 particles > 4µm; 16,519 particles > 6µm; 541 particles > 14µm ...we refer to the table to find the ranges in which these numbers fall and then we read the corresponding code. This results in an ISO Code of 23/21/16. The Effects of Poor Oil Cleanliness Poor oil cleanliness can: • Cause damage to interacting components via abrasion; • Dramatically reduce component life via erosion; • Cause blockages to critical oil flow paths; • Cause damage to servo or proportional valves; • Increase quality problems; • Increase customer dissatisfaction; • Reduce market perception; • Damage business opportunities; • Raise costs. What Failures Are Likely Due To Poor Oil Cleanliness? Sudden or catastrophic - this is caused when even a small number of particles invade a critical space and create a torque forces large enough to cause a seizure or fracture which is irreversible, e.g. piston pump. Intermittent - similar to that above but usually caused by smaller size structures. Intermittent will ultimately lead to sudden or catastrophic failures. Typical examples are temporarily blocked or unseated spool/poppet valves. Degradation - This is typically characterised by flow erosion, abrasion, polishing and general wear. FTIR (Fourier Transform Infrared Spectroscopy)
Not as scary as it sounds... FTIR stands for Fourier
Transform Infrared spectroscopy. It is often simply referred to as an 'Infrared test'. Infrared testing gives
us a picture of an oil's health and general condition as well as whether any contaminants are present such as fuel
or coolant.
An infrared spectrometer works by passing an infrared beam through
a fixed thickness of oil between two glass plates, usually 100µm (0.1mm) apart. But before testing can begin,
a virgin sample of the oil is tested to establish a baseline reading. With the oil sample between
the glass plates, the test can begin. The infrared beam passes through the oil. Oil contaminants and additive
molecules will absorb some of the infrared radiation, but only at certain frequencies. Soot and other particles will
absorb the radiation at all frequencies. When the test is complete, the frequency spectrum of the used oil is compared
to that of the virgin 'reference' oil tested beforehand. The reference oil data is subtracted from the used
oil data to give the final result. We can then see how the oil condition has changed from its virgin state to
its used state and make recommendations where necessary.
It is very important that we receive a sample of virgin oil to get
the most out of this test - the accuracy improves considerably if the correct reference oil is used. Accurate measurements of fuel dilution and glycol content are highly dependent
on the correct reference oil. In doing
an Infrered analysis, we gain an appreciation for the oil condition by determining values for:
A typical infrared spectrum is shown to the left. From this, we can determine
the overall condition of the oil by assessing the following four quantities: ICP-AES
Elementary,
my dear Watson! ICP-AES stands for Inductively Coupled Plasma - Atomic Emission Spectroscopy. This technique uses an inductively coupled plasma flame (shown left) to produce excited atoms and ions that release electromagnetic radiation of different wavelengths. Each element of the periodic table has its own unique wavelength. The detector within the ICP detects both its wavelength and its intensity and uses these to calculate the relative amounts of each element present within a sample of oil. The flame seen in the picture
above is generated by ionizing argon gas and at the same time running it through an intense magnetic field. The temperature of the flame is about 7000 K (6727 °C).
In comparison, our Sun's surface temperature is 5778 K (5505 °C). The flame appears green but this is because it is being viewed through a green
UV filter which protects the eyes of the operator from harmful ultraviolet radiation. The true colour of the flame
is pure white. The ICP reports the amount of each element present within the oil in ppm (parts per million). The data gathered from the ICP constitutes
a large chunk of the overall OCLS oil report. An ICP works by using a complex system of prisms, mirrors and detectors. The following is a brief outline of how an ICP works out element concentrations (even down to an accuracy of a single ppm) in a sample of your oil in about 20 seconds! A diagram of this process can be seen
to the right.
Oil Check Laboratory Services
Ltd, Room 104N, Denison House, Hexthorpe Road, Doncaster, South Yorkshire, DN4 0BF
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Website: www.oil-analysis.org Copyright © 2010
Oil-Check. All rights reserved. |
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