2010
DOI: 10.1016/j.wear.2009.10.006
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Wear measurement of the cylinder liner of a single cylinder diesel engine using a replication method

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Cited by 29 publications
(13 citation statements)
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“…This stage of loading under lubrication drought exhibits the formation of crevices with similar surface deteriorations evidenced in the research work of Gara et. al [30]. The surface failures have been reported previously by various researchers and as such a strong need for surface mending by a bonafide lubrication system arises.…”
Section: Wearmentioning
confidence: 89%
“…This stage of loading under lubrication drought exhibits the formation of crevices with similar surface deteriorations evidenced in the research work of Gara et. al [30]. The surface failures have been reported previously by various researchers and as such a strong need for surface mending by a bonafide lubrication system arises.…”
Section: Wearmentioning
confidence: 89%
“…Many authors focused on ring/liner wear. Michalski et al, 29 Grabon et al, 30 and Gara et al 31 based their studies on valley/peak statistics or bearing area curve analyses. Priest et al 26 showed new/worn ring profiles and proposed some smooth contact film thickness calculations along the piston stroke; the thinner the film compared to roughness, the larger the predicted wear rate.…”
Section: Micro-geometrymentioning
confidence: 99%
“…From these different research lines, surface topographical evaluation using optical interferometry assisted by image analysis (OI1IA) has been extensively studied and it is considered very promising because it provides local dimensional changes with high accuracy (sub-micron) in a short period of time, which is of feasible implementation along the production chain. However, the literature reporting wear detection using optical interferometry has not examined the accuracy of this method prior testing and barely discussed the settings used during the measurements (Kumar et al, 2000;Obara and Sinatora, 2016;Cabanettes and Rosén, 2014;Gara et al, 2010;Corral et al, 2010;Sasajima et al, 2000;Mezghani et al, 2013). Because most of the uncertainties of OI measurements are surface/equipment related, for surfaces that are geometrically complex (randomly rough surfaces, such as engineering surfaces) many sources of uncertainties may be simultaneously present and it may not be possible to remove, compensate, or estimate their separate influences (Petzing et al, 2010).…”
Section: Introductionmentioning
confidence: 99%