Abdulmunem, Oday M. ; Abdul-Munaim, Ali Mazin ; Aller, Mario Mendez ; Preu, Sascha ; Watson, Dennis G. (2024)
THz-TDS for Detecting Glycol Contamination in Engine Oil.
In: Applied Sciences, 2020, 10 (11)
doi: 10.26083/tuprints-00016990
Article, Secondary publication, Publisher's Version
 | There is a more recent version of this item available. |
Abstract
There continues to be a need for an in-situ sensor system to monitor the engine oil of internal combustion engines. Engine oil needs to be monitored for contaminants and depletion of additives. While various sensor systems have been designed and evaluated, there is still a need to develop and evaluate new sensing technologies. This study evaluated Terahertz time-domain spectroscopy (THz-TDS) for the identification and estimation of the glycol contamination of automotive engine oil. Glycol contamination is a result of a gasket or seal leak allowing coolant to enter an engine and mix with the engine oil. An engine oil intended for use in both diesel and gasoline engines was obtained. Fresh engine oil samples were contaminated with four levels of glycol (0 ppm, 150 ppm, 300 ppm, and 500 ppm). The samples were analyzed with THz-TDS and converted to frequency domain parameters of refractive index and absorption coefficient. While both parameters showed potential, the absorption coefficient had the best potential and was able to statistically discriminate among the four contamination levels.
| Item Type: | Article |
|---|---|
| Erschienen: | 2024 |
| Creators: | Abdulmunem, Oday M. ; Abdul-Munaim, Ali Mazin ; Aller, Mario Mendez ; Preu, Sascha ; Watson, Dennis G. |
| Type of entry: | Secondary publication |
| Title: | THz-TDS for Detecting Glycol Contamination in Engine Oil |
| Language: | English |
| Date: | 15 January 2024 |
| Place of Publication: | Darmstadt |
| Year of primary publication: | 2020 |
| Place of primary publication: | Basel |
| Publisher: | MDPI |
| Journal or Publication Title: | Applied Sciences |
| Volume of the journal: | 10 |
| Issue Number: | 11 |
| Collation: | 9 Seiten |
| DOI: | 10.26083/tuprints-00016990 |
| URL / URN: | https://tuprints.ulb.tu-darmstadt.de/16990 |
| Corresponding Links: | |
| Origin: | Secondary publication DeepGreen |
| Abstract: | There continues to be a need for an in-situ sensor system to monitor the engine oil of internal combustion engines. Engine oil needs to be monitored for contaminants and depletion of additives. While various sensor systems have been designed and evaluated, there is still a need to develop and evaluate new sensing technologies. This study evaluated Terahertz time-domain spectroscopy (THz-TDS) for the identification and estimation of the glycol contamination of automotive engine oil. Glycol contamination is a result of a gasket or seal leak allowing coolant to enter an engine and mix with the engine oil. An engine oil intended for use in both diesel and gasoline engines was obtained. Fresh engine oil samples were contaminated with four levels of glycol (0 ppm, 150 ppm, 300 ppm, and 500 ppm). The samples were analyzed with THz-TDS and converted to frequency domain parameters of refractive index and absorption coefficient. While both parameters showed potential, the absorption coefficient had the best potential and was able to statistically discriminate among the four contamination levels. |
| Uncontrolled Keywords: | terahertz, time-domain spectroscopy, engine oil, glycol |
| Status: | Publisher's Version |
| URN: | urn:nbn:de:tuda-tuprints-169904 |
| Additional Information: | This article belongs to the Special Issue THz Spectroscopy: Basic Science and Application |
| Classification DDC: | 500 Science and mathematics > 530 Physics 600 Technology, medicine, applied sciences > 621.3 Electrical engineering, electronics 600 Technology, medicine, applied sciences > 630 Agriculture, veterinary medicine |
| Divisions: | 18 Department of Electrical Engineering and Information Technology 18 Department of Electrical Engineering and Information Technology > Institute for Microwave Engineering and Photonics (IMP) 18 Department of Electrical Engineering and Information Technology > Institute for Microwave Engineering and Photonics (IMP) > Terahertz Devices and Systems |
| Date Deposited: | 15 Jan 2024 14:04 |
| Last Modified: | 26 Feb 2024 16:21 |
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| Suche nach Titel in: | TUfind oder in Google |
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