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Predicting oil changes in industrial applications without interrupting operations
Date:3/27/2014

This news release is available in German.

Predictive maintenance of hard-to-access plants, no unnecessary oil changes, no unnecessary laboratory costs and less environmental impact. These are just some of the benefits offered by a new system that can monitor the condition of lubricating oils, hydraulic oils and other fluids in industrial installations without interrupting ongoing operations. The method was developed by engineers from Saarbrcken in collaboration with project partners. The compact sensor system is available as a portable unit or can be built into industrial plants, wind turbines and other machinery. The system, which uses optical methods to measure the oil's chemical makeup and the degree of particle loading, can also predict the best time for an oil change. The team of engineers led by Professor Andreas Schtze from Saarland University and ZeMA, the Centre for Mechatronics and Automation Technology in Saarbrcken, will be showcasing their work from April 7th to April 11th at the Saarland Research and Innovation Stand at HANNOVER MESSE (Hall 2, Stand C 48).

Failing to change the oil at the right time can cause serious damage to machinery and equipment. A fact that is just as true for cars as it is for large industrial installations. Over time, a lubricating oil used to minimize friction, reduce wear and prevent overheating will become contaminated with fine metal dust and particles from abrasive processes. The oil will also gradually oxidize. And the additives that help to optimize the oil's properties also have only a finite lifetime. At some point, the oil will no longer be able to act as an effective lubricant. According to Professor Andreas Schtze, the key problem is that it is not obvious when exactly the oil needs changing. In the case of plants or i
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Contact: Andreas Schütze
schuetze@lmt.uni-saarland.de
49-068-130-24663
Saarland University
Source:Eurekalert  

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