2021
DOI: 10.1016/j.fuel.2020.119923
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Modelling and prediction of cavitation erosion in GDi injectors operated with E100 fuel

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Cited by 14 publications
(6 citation statements)
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“…Brunhart et al [19] introduced the use of erosion indicators on the case of gaps within a diesel fuel pump. Gomez Santos et al [20], similarly, presented the comparison of erosion models in engine injectors operating with ethanol. Despite intensive research work and numerous publications in the field of cavitation erosion, the derived models have still not been perfected, and offer many opportunities for upgrading and improvement.…”
Section: Introductionmentioning
confidence: 99%
“…Brunhart et al [19] introduced the use of erosion indicators on the case of gaps within a diesel fuel pump. Gomez Santos et al [20], similarly, presented the comparison of erosion models in engine injectors operating with ethanol. Despite intensive research work and numerous publications in the field of cavitation erosion, the derived models have still not been perfected, and offer many opportunities for upgrading and improvement.…”
Section: Introductionmentioning
confidence: 99%
“…The needle motion was assumed to be in the z-axial direction only. No eccentricity or residual fuel effects were considered; such effects have been investigated in [65][66][67][68][69]. In Table 2, the numerical values for the reference state for the inlet and outlet, respectively, are provided.…”
Section: Description Of the Examined Injector And Testing Conditionsmentioning
confidence: 99%
“…Several approaches to predicting cavitation erosion from CFD simulations have been proposed and applied to various cases of cavitating flows in the literature. Proposed approaches range from more straightforward erosion indicators proposed by Gomez et al in [24], Mo et al [25] and Brunhart et al [26] to more complex and physically accurate modelling of cavitation erosion proposed by Leclercq et al in [27], Schenke et al [28], Arabnejad et al [29] and Fortes Patella et al [30].…”
Section: Introductionmentioning
confidence: 99%
“…They considered several erosion risk indicators and concluded that the most accurate results were obtained with the maximum value of the squared total time derivative of pressure, the maximum value of potential power density by Fortes-Patella et al [30], and the maximum value of total time derivative of pressure. In a numerical study to predict cavitation erosion in GDi injectors by Santos et al [24], three erosion indicators were compared in the case of a URANS and an LES simulation. They concluded that accumulated (time integral) total time derivative of pressure and accumulated cavitation potential energy by Fortes-Patella et al [30] gave accurate erosion prediction in both URANS and LES cases.…”
Section: Introductionmentioning
confidence: 99%