2020
DOI: 10.1016/j.triboint.2019.105989
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Full factorial, microscopic and spectroscopic study of erosion-corrosion of AISI 1018 steel elbows in potash brine-sand slurry

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Cited by 17 publications
(2 citation statements)
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“…Once the model structure is defined, an analysis of variance (ANOVA) procedure is carried out to identify the factors and factor interactions that have the most significant effects on the response. ANOVA models can be explicitly translated into an equivalent linear regression model [26,[28][29][30], so a factorial design analysis also produces functions that elucidate the relationship between the factors and their response.…”
Section: Response Surface Methodology (Rsm): Factorial Designmentioning
confidence: 99%
“…Once the model structure is defined, an analysis of variance (ANOVA) procedure is carried out to identify the factors and factor interactions that have the most significant effects on the response. ANOVA models can be explicitly translated into an equivalent linear regression model [26,[28][29][30], so a factorial design analysis also produces functions that elucidate the relationship between the factors and their response.…”
Section: Response Surface Methodology (Rsm): Factorial Designmentioning
confidence: 99%
“…The riblet structure reduced the cavitation erosion area on the rigid surface with the micro structured riblet. Cavitation erosion was found the major failure mechanism of a high chromium carbon steel impeller operating in phosphoric acid slurry [277], of the shoe-guide assembly in a high-pressure fuel pump [278], and of AISI 1018 steel elbows in potash brine-sand slurry [279]. X-ray diffraction study showed that the pristine microstructure of ~93 vol% γ + ~7 vol% α′ (austenite (γ), martensite (α′, ε)) of the smooth solution-treated AISI 304 austenitic stainless steel samples experienced γ → α′ transformation fraction of ~89 vol% in the first 3 h of ASTM G32-10 ultrasonic-induced cavitation test without visible mass loss, and then started to loss the mass almost linearly with increase in testing time, keeping the austenite volume fraction of 11% constant [280].…”
Section: Cavitation Erosion and Corrosive Wearmentioning
confidence: 99%