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contributor authorMagnotti, Gina M.
contributor authorSom, Sibendu
date accessioned2022-02-04T23:02:09Z
date available2022-02-04T23:02:09Z
date copyright11/1/2020 12:00:00 AM
date issued2020
identifier issn0742-4795
identifier othergtp_142_11_111015.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4275959
description abstractTo advance compression ignition combustion strategies, researchers have evaluated fuel property effects and their impact on achieving higher efficiencies and lower emissions levels relative to current capabilities. Within the Department of Energy's Co-Optima initiative, there has been a recent focus on understanding the influence of fuel properties on fuel injection performance. To help identify candidate fuels that can meet desired injector performance metrics, a computational fuel screening tool is under development that can link fuel properties with the tendency of a given fuel to cavitate and lead to cavitation-induced erosion. In the initial development of this tool, five liquid fuel properties were selected to represent candidate fuels, namely, density, viscosity, vapor pressure, surface tension, and heat of vaporization. A design of experiments methodology was used to generate a set of pseudofuel cases, which can represent the main effects and interactions among the fuel properties and be related to cavitation erosion predictions. Large eddy simulations were performed using a mixture modeling approach to predict the cavitation and erosion propensity of these pseudofuels in terms of the mean fuel vapor mole fraction and stored impact energy from repeated cloud collapse events. The low-order regression models generated from this study revealed the importance of liquid fuel density on cavitation formation, whereas liquid viscosity was found to have a strong negative correlation with erosion severity. The surrogate models were then used in the fuel screening tool to rank the cavitation and erosion tendency of four candidate single-component fuels: methyl decanoate, iso-octane, ethanol, and n-dodecane. While the fuel screening tool was not able to quantitatively predict the cavitation and erosion response metrics, the tool was able to accurately rank the relative cavitation and erosion propensity of the four fuels. Overall, ethanol and iso-octane were observed to produce the highest levels of cavitation and erosion, respectively.
publisherThe American Society of Mechanical Engineers (ASME)
titleAssessing Fuel Property Effects on Cavitation and Erosion Propensity Using a Computational Fuel Screening Tool
typeJournal Paper
journal volume142
journal issue11
journal titleJournal of Engineering for Gas Turbines and Power
identifier doi10.1115/1.4048457
journal fristpage0111015-1
journal lastpage0111015-9
page9
treeJournal of Engineering for Gas Turbines and Power:;2020:;volume( 142 ):;issue: 011
contenttypeFulltext


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