FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3166548456> ?p ?o ?g. }

• W3166548456 endingPage "111525" @default.
• W3166548456 startingPage "111525" @default.
• W3166548456 abstract "The laminar burning velocity (LBV) is a fundamental property of a fuel/oxidizer mixture with high impact on combustion processes in practical engines. Profound knowledge of its dependence on the underlying molecular structures of hydrocarbon and oxygenated hydrocarbon fuels is of high interest. In the present work, a quantitative structure-property relationship model is developed for the first time to predict the LBVs of a wide range of fuels. For this purpose, an artificial neural network is trained based on a training set consisting of both the experimental LBV values of 124 fuel compounds and additional data obtained from numerical simulations with a detailed kinetic model. Twelve molecular groups as well as pressure, temperature, and fuel/air equivalence ratio serve as input features to the model. Cross-validation reveals a mean absolute error of 3.3 cm/s when applying the model to fuels, whose LBV datapoints were not used for training. In order to gain insights into the underlying fuel structure dependence of LBV, the model is then applied to analyze the functional group effects at unified conditions by means of sensitivity analysis and detailed fuel comparisons. It is found that unsaturation increases the LBV, while methyl substitution consistently has a negative effect for the wide range of fuel structures considered, which confirms similar findings in the literature. More interestingly, while carbonyl groups in ketones and aldehydes, ether groups in ethers, acetals, furanics, and oxygenated benzenoids, as well as hydroxy groups in n-alcohols tend to increase the LBV compared to corresponding non-oxygenated fuels of similar structures, ester and carbonate functional groups have a clearly negative impact. Overall, the results demonstrate that a group contribution approach in combination with a machine learning methodology is capable of predicting the LBVs of a wide range of fuel structures with acceptable accuracy, which can be useful for future fuel design." @default.
• W3166548456 created "2021-06-22" @default.
• W3166548456 creator A5022322805 @default.
• W3166548456 creator A5048936220 @default.
• W3166548456 creator A5065958503 @default.
• W3166548456 creator A5066973670 @default.
• W3166548456 date "2021-10-01" @default.
• W3166548456 modified "2023-10-16" @default.
• W3166548456 title "Exploring the fuel structure dependence of laminar burning velocity: A machine learning based group contribution approach" @default.
• W3166548456 cites W1445004069 @default.
• W3166548456 cites W1967373004 @default.
• W3166548456 cites W1968445705 @default.
• W3166548456 cites W1978042691 @default.
• W3166548456 cites W1983643038 @default.
• W3166548456 cites W1984920877 @default.
• W3166548456 cites W1988043544 @default.
• W3166548456 cites W1991424987 @default.
• W3166548456 cites W1991660441 @default.
• W3166548456 cites W2005535756 @default.
• W3166548456 cites W2007181225 @default.
• W3166548456 cites W2014187118 @default.
• W3166548456 cites W2014333331 @default.
• W3166548456 cites W2015347934 @default.
• W3166548456 cites W2016610045 @default.
• W3166548456 cites W2026175059 @default.
• W3166548456 cites W2026598691 @default.
• W3166548456 cites W2030816781 @default.
• W3166548456 cites W2032009542 @default.
• W3166548456 cites W2038520023 @default.
• W3166548456 cites W2041697777 @default.
• W3166548456 cites W2043896101 @default.
• W3166548456 cites W2045617466 @default.
• W3166548456 cites W2048344933 @default.
• W3166548456 cites W2049116351 @default.
• W3166548456 cites W2053745992 @default.
• W3166548456 cites W2056139823 @default.
• W3166548456 cites W2058597996 @default.
• W3166548456 cites W2061704221 @default.
• W3166548456 cites W2064104522 @default.
• W3166548456 cites W2067121227 @default.
• W3166548456 cites W2071399741 @default.
• W3166548456 cites W2073617256 @default.
• W3166548456 cites W2073910804 @default.
• W3166548456 cites W2079346192 @default.
• W3166548456 cites W2079640001 @default.
• W3166548456 cites W2081010998 @default.
• W3166548456 cites W2083844448 @default.
• W3166548456 cites W2087964886 @default.
• W3166548456 cites W2094164523 @default.
• W3166548456 cites W2141574280 @default.
• W3166548456 cites W2173752131 @default.
• W3166548456 cites W2177618327 @default.
• W3166548456 cites W2207100715 @default.
• W3166548456 cites W2219057854 @default.
• W3166548456 cites W2243538528 @default.
• W3166548456 cites W2287775563 @default.
• W3166548456 cites W2300584392 @default.
• W3166548456 cites W2315328944 @default.
• W3166548456 cites W2326001364 @default.
• W3166548456 cites W2332446978 @default.
• W3166548456 cites W2335077270 @default.
• W3166548456 cites W2421934262 @default.
• W3166548456 cites W2444007978 @default.
• W3166548456 cites W2474264344 @default.
• W3166548456 cites W2475843855 @default.
• W3166548456 cites W2507737001 @default.
• W3166548456 cites W2519619519 @default.
• W3166548456 cites W252737356 @default.
• W3166548456 cites W2529386389 @default.
• W3166548456 cites W2561350761 @default.
• W3166548456 cites W2590047425 @default.
• W3166548456 cites W2606323819 @default.
• W3166548456 cites W2608794364 @default.
• W3166548456 cites W2610196414 @default.
• W3166548456 cites W2614439212 @default.
• W3166548456 cites W2734727618 @default.
• W3166548456 cites W2757320183 @default.
• W3166548456 cites W2770107305 @default.
• W3166548456 cites W2777670415 @default.
• W3166548456 cites W2787989730 @default.
• W3166548456 cites W2795504275 @default.
• W3166548456 cites W2796412612 @default.
• W3166548456 cites W2802982083 @default.
• W3166548456 cites W2809140474 @default.
• W3166548456 cites W2809182612 @default.
• W3166548456 cites W2852761971 @default.
• W3166548456 cites W2884307399 @default.
• W3166548456 cites W2884966955 @default.
• W3166548456 cites W2885808345 @default.
• W3166548456 cites W2888987967 @default.
• W3166548456 cites W2891467483 @default.
• W3166548456 cites W2907879462 @default.
• W3166548456 cites W2908776487 @default.
• W3166548456 cites W2912686932 @default.
• W3166548456 cites W2914230588 @default.
• W3166548456 cites W2921802189 @default.
• W3166548456 cites W2949384717 @default.
• W3166548456 cites W2951260261 @default.

• next