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Corrosion Sensor for Water-Contaminated Grease
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Machine Elements.ORCID iD: 0000-0002-4857-9475
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Fluid and Experimental Mechanics.ORCID iD: 0000-0003-4879-8261
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Machine Elements.ORCID iD: 0000-0003-3995-8331
SKF Nederland BV, Kelvinbaan 16, Nieuwegein, 3439 MT Netherlands.
2020 (English)In: Tribology Transactions, ISSN 1040-2004, E-ISSN 1547-397X, Vol. 63, no 5, p. 891-896Article in journal (Refereed) Published
Abstract [en]

A simple and inexpensive corrosion sensor has been manufactured to study the corrosion rate of new and water contaminated lubricating grease using a galvanic cell. The galvanic charge is developed between ENIG (electroless nickel immersion gold) and zinc, manufactured by selectively plating on a custom manufactured interdigitated PCB (printed circuit board). This paper shows the methodology in using this concept for any application which may require quantifying the corrosivity of a liquid or semisolid which could be applied to the surface of the sensor. Water contamination is a problem in many grease lubricated machine components, so a sensor concept was developed and a correlation between water content and the corrosion rate is shown. This method could be used to precisely study the corrosion rate of aged or contaminated lubricants and could potentially be used as a cheap and simple way to estimate water contamination of grease. To the knowledge of the authors, this sensor concept has not been used in industry or literature.

Place, publisher, year, edition, pages
Taylor & Francis, 2020. Vol. 63, no 5, p. 891-896
Keywords [en]
lubricating grease, corrosion, water contamination, condition monitoring, sensors
National Category
Tribology (Interacting Surfaces including Friction, Lubrication and Wear) Applied Mechanics
Research subject
Machine Elements; Experimental Mechanics
Identifiers
URN: urn:nbn:se:ltu:diva-75997DOI: 10.1080/10402004.2020.1770389ISI: 000560869300001Scopus ID: 2-s2.0-85089484976OAI: oai:DiVA.org:ltu-75997DiVA, id: diva2:1351321
Note

Validerad;2020;Nivå 2;2020-11-03 (johcin)

Available from: 2019-09-14 Created: 2019-09-14 Last updated: 2020-11-03Bibliographically approved
In thesis
1. Sensors for Water Contamination in Lubricating Grease
Open this publication in new window or tab >>Sensors for Water Contamination in Lubricating Grease
2019 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

The purpose of this dissertation is to summarize the research carried out that led to the development of measurement techniques which measure the water content of lubricating grease. Calcium sulphonate complex (CaS-X) grease was used in all experiments for Papers A through E, with some additional greases used in Paper D.

A simple and effective grease mixing method for preparing grease samples was developed and tested for repeatability. The water content of these samples was also tested with time and temperature as added variables to study if and how much water will evaporate from the samples.

Additionally, three measurement principles were investigated: optical attenuation in the visible and near-infrared (NIR) region, a dielectric measurement method, and a galvanic current method.

The optical attenuation investigation found that the attenuation ratio of two wavelengths of light appear to approximate the water content of grease samples with an acceptable coefficient of determination. Additionally, aged and oxidized grease samples were measured in the experiment and were not found to affect the measurement results. The dielectric method uses the temperature dependence on the dielectric properties of water-contaminated grease to approximate the water content of the grease samples. An additional parameter of incomplete fill/coverage of the sensor has been investigated as a prestudy. The dielectric method was further optimized with computer automated measurements where an improved and miniaturized sensor was developed and used. A different method using the galvanic current between two different metals from the galvanic series was used to estimate water content as well. All three methods were found to provide measurements of water content in the prepared grease samples (ranging from 0.22% to 5.5% added water). The dielectric measurement is likely going to be better for applications requiring the possibility of measuring a larger bulk of the grease within the bearing, with the capability of using several different configurations of sensors for different types of bearings and applications. It shows promise for providing an accurate and robust system for monitoring grease condition as well as the amount of grease contained. The optical measurement will likely provide additional information; however, it will only measure small point samples within the bearing instead of the larger bulk. This could be of use though, because the sensors could be small (in the several millimeter scale) and could measure where water damage is determined to be most important to detect at. The galvanic current method was also found to provide a useful correlation to water content but may provide additional information about how corrosive the grease has become, indirectly estimating the water content.

The research contained herein has shown promise for future development for developing new grease condition monitoring tools. The optical, dielectric, and galvanic methods have their own unique challenges and may provide useful information in different applications, or perhaps be used in conjunction with each other to provide a more complete diagnostic tool.

Place, publisher, year, edition, pages
Luleå University of Technology, 2019. p. 200
Series
Doctoral thesis / Luleå University of Technology 1 jan 1997 → …, ISSN 1402-1544
National Category
Reliability and Maintenance Tribology (Interacting Surfaces including Friction, Lubrication and Wear)
Research subject
Experimental Mechanics
Identifiers
urn:nbn:se:ltu:diva-75998 (URN)978-91-7790-439-7 (ISBN)978-91-7790-440-3 (ISBN)
Public defence
2019-11-04, D770, Luleå, 10:00 (English)
Opponent
Supervisors
Available from: 2019-09-16 Created: 2019-09-14 Last updated: 2020-06-02Bibliographically approved

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Dittes, Nicholas J.Sjödahl, MikaelPettersson, Anders

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