Digital Process Viscometer

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Measuring Oil Viscosity Stops Problems Before They Occur - page 4

Exhibits 3 and 4 show viscosity trends from engines instrumented with Cambridge viscometers. In each case, Cambridge sensors predicted significant oil quality issues leading to engine problems and failures.

Sensing Fuel Dilution in Lubricating Oil

A standard on-engine mounting location for the Cambridge viscometer is in the lubrication oil return line. Exhibit 3 shows the results on one such engine. As you can see, even with temperature compensation, the viscosity varies roughly +/- 1 cP around its trend line of 19.2 cP. This trend line begins to drop around 8/14/02. The trend clearly continues down, crossing 18 cP in 4 days and almost 2 weeks to drop to 15 cP. The engine continued to failure due to fuel dilution.

value of temperature normalized viscosity readings

Exhibit 3: Cambridge viscometer forecasting engine failure due to fuel dilution

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The viscosity data shown in Exhibit 3 indicates the detection of a fuel leak more than a week before it became a serious problem. The data shows a maximum 20% drop in viscosity which correlated to about 6% fuel dilution (engines in the type tested typically are designed to run with up to a 4% dilution). In this case, notifying the operator of the problem could have easily avoided the catastrophic failure which occurred.

Sensing Additive Breakdown and Oxidation in Lube Oil

Exhibit 4 shows real-time viscosity trending in the lubrication oil on a different engine. This engine was being tested to track failure by lubricant breakdown. The long term trend in temperature-compensated viscosity had been above 5 cP. After sustained operation, the lubricant additive package began to fail, and the viscosity dropped, indicating permanent shear-thinning. This failure allowed the oxidation of the oil to increase to the point that the viscosity begins to trend up, prior to predictable engine failure.

value of temperature normalized viscosity readings

Exhibit 4: Viscosity impact of lubricant failure

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This exhibit highlights two factors. When oil conditions deteriorate significantly, failure modes can mask one another. Prior to the problems becoming extreme, however, viscosity trending allows problems to be identified at an early enough stage so that it can be highlighted as such and proper maintenance can be scheduled prior to failure.

The installation of Cambridge sensors on-engine is simple. They are typically mounted just downstream of the oil filter or in the oil filter assembly, with the electronics driven from the vehicle’s on-board power. This allows simple retrofit of existing vehicles or design in for new vehicles.

Conclusion

Viscosity is a real indicator of oil health. Real-time dynamic viscosity measurements and trending can provide an early warning of oil and equipment failures. This information can be used for immediate problem solving or highlight the need for more detailed lab analysis to clarify the situation further so that the problem can be solved on an appropriate maintenance schedule rather than one caused by catastrophic failure.

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