Exact analytical solution to ultrasonic interfacial reflection enabling optimal oil film thickness measurement. (November 2020)

• Record Type: Journal Article
• Authors: Yu, Min; Shen, Li; Mutasa, Tapiwa; Dou, Pan; Wu, Tonghai; Reddyhoff, Tom
• Is Part Of: Tribology international. Volume 151(2020)
• Publication Date: 2020-11
• Subjects: Film thickness -- Ultrasonic reflection -- Complex value -- Measurement accuracy -- Measurement uncertainty; Tribology -- Periodicals; 621.89
• DOI: 10.1016/j.triboint.2020.106522
• Languages: English
• ISSNs: 0301-679X

Abstract

Abstract: The ultrasonic reflection from a lubricated interface has been widely analyzed to measure fluid film thickness, with different algorithms being applied to overcome measurement accuracy and resolution issues. Existing algorithms use either the amplitude or the phase angle of the ultrasonic interfacial reflection. In this paper, a new algorithm (named the "exact model – complex") that simultaneously utilizes both the amplitude and the phase of the complex ultrasonic reflection coefficient is proposed and mathematically derived. General procedures for theoretical analysis in terms of measurement accuracy and uncertainty are proposed and applied to the new algorithm, the beneficial features of which (as compared to other existing algorithms) can be summarized as: 1) a direct calculation, instead of an iterative approximation, 2) guaranteed maximum measurement accuracy, and 3) acceptable measurement uncertainty. None of the existing methods have showed this combination of benefits. Moreover, two groups of raw data from previous experimental studies are utilized to further validate the practical feasibility of the new algorithm. Overall, the proposed "exact model – complex" algorithm fully exploits the potential of ultrasonic reflection for oil film thickness measurement, with an accurate and a convenient calculation suited to practical implementation. Highlights: A new algorithm, "exact model – complex", for ultrasonic measurement of oil film thickness is proposed. General procedures for theoretical analysis in terms of measurement accuracy and uncertainty are developed. Two groups of raw data from previous experimental studies are used to validate practical viability of proposed algorithm. The proposed algorithm enables a direct calculation, guaranteed accuracy, and acceptable measurement uncertainty.