Accurate Measurement of Reciprocating Kinetic Friction Coefficient through Automatic Detection of the Running-InShow others and affiliations
2020 (English)In: IEEE Transactions on Instrumentation and Measurement, ISSN 0018-9456, E-ISSN 1557-9662, Vol. 69, no 5, p. 2398-2407, article id 8999590Article in journal (Refereed) Published
Abstract [en]
Tribological tests are adopted to estimate the kinetic friction coefficient (COF) of the material of interest according to the American Society for Testing and Materials (ASTM) standard. Typically, for the measurement process, several replicas, as well as a postprocessing data treatment, are necessary to take into account the observed casual variability of the measurand. This article describes a statistical approach aiming to highlight the running-in phase and the most significant time intervals during the steady-state for each test replica. A two-steps procedure based on the adoption of the bootstrap method allows the automatic detection of the running-in time interval and the outlier filtering of the steady-state. Experimental activity has been carried out by performing multiple tests through the ball-on-flat tribometer in order to verify the improvement allowed by the authors' proposal about the dry friction COF measurement in terms of both accuracy and repeatability. © 1963-2012 IEEE.
Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2020. Vol. 69, no 5, p. 2398-2407, article id 8999590
Keywords [en]
Friction, measurement time, measurement uncertainty, tribology, tribometers, Electrical engineering, Instruments, Accuracy and repeatabilities, Accurate measurement, American society for testing and materials, Automatic Detection, Experimental activities, Kinetic friction coefficient, Measurement process, Statistical approach
National Category
Tribology (Interacting Surfaces including Friction, Lubrication and Wear)
Identifiers
URN: urn:nbn:se:miun:diva-41528DOI: 10.1109/TIM.2020.2974055ISI: 000528560200010Scopus ID: 2-s2.0-85083272980OAI: oai:DiVA.org:miun-41528DiVA, id: diva2:1536254
2021-03-102021-03-102021-04-27Bibliographically approved