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Title: Real-time Detection of Oil Viscosity Using Coplanar Capacitive Sensors
Authors: Saleh, Mahdi
Elhajj, Imad H.
Asmar, Daniel
Antoun, Sally
Affiliations: Issam Fares Faculty of Technology 
Keywords: Automotive
capacitive sensors
oil viscosity
Issue Date: 2020
Publisher: Institute of Electrical and Electronics Engineers
Part of: IEEE SENSORS (25-28 Oct, 2020 : Rotterdam-Netherlands)
Measurement of oil's internal flow resistance, usually known as viscosity, is essential in several domains such as automotive and oil production. Although different types of viscometers are available in the market, several limitations affect their usability in real-time applications; mainly the requirement for calibration. In this paper, we introduce a new method for detecting the oil viscosity based on coplanar capacitive sensors. This method relies on analyzing the changes in the measured capacitance while the sensor is installed in a dynamic scheme; moving vertically in and out of an oil sample. Due to this new working principle, the proposed sensing system has several advantages over the commercially-available sensors in terms of low manufacturing cost, simplicity of operation, and online calibration capability.
ISBN: 9781728168012
ISSN: 19300395
DOI: 10.1109/SENSORS47125.2020.9278814
Ezproxy URL: Link to full text
Type: Conference Paper
Appears in Collections:Department of Mechatronics Engineering

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