Matches in SemOpenAlex for { <https://semopenalex.org/work/W2584829707> ?p ?o ?g. }
- W2584829707 endingPage "1960" @default.
- W2584829707 startingPage "1945" @default.
- W2584829707 abstract "Gasoline octane number is a significant empirical parameter for the optimization and development of internal combustion engines capable of resisting knock. Although extensive databases and blending rules to estimate the octane numbers of mixtures have been developed and the effects of molecular structure on autoignition properties are somewhat understood, a comprehensive theoretical chemistry-based foundation for blending effects of fuels on engine operations is still to be developed. In this study, we present models that correlate the research octane number (RON) and motor octane number (MON) with simulated homogeneous gas-phase ignition delay times of stoichiometric fuel/air mixtures. These correlations attempt to bridge the gap between the fundamental autoignition behavior of the fuel (e.g., its chemistry and how reactivity changes with temperature and pressure) and engine properties such as its knocking behavior in a cooperative fuels research (CFR) engine. The study encompasses a total of 79 hydrocarbon gasoline surrogate mixtures including 11 primary reference fuels (PRF), 43 toluene primary reference fuels (TPRF), and 19 multicomponent (MC) surrogate mixtures. In addition to TPRF mixture components of iso-octane/n-heptane/toluene, MC mixtures, including n-heptane, iso-octane, toluene, 1-hexene, and 1,2,4-trimethylbenzene, were blended and tested to mimic real gasoline sensitivity. ASTM testing protocols D-2699 and D-2700 were used to measure the RON and MON of the MC mixtures in a CFR engine, while the PRF and TPRF mixtures’ octane ratings were obtained from the literature. The mixtures cover a RON range of 0–100, with the majority being in the 70–100 range. A parametric simulation study across a temperature range of 650–950 K and pressure range of 15–50 bar was carried out in a constant-volume homogeneous batch reactor to calculate chemical kinetic ignition delay times. Regression tools were utilized to find the conditions at which RON and MON best correlate with simulated ignition delay times. Furthermore, temperature and pressure dependences were investigated for fuels with varying octane sensitivity. This analysis led to the formulation of correlations useful to the definition of surrogates for modeling purposes and allowed one to identify conditions for a more in-depth understanding of the chemical phenomena controlling the antiknock behavior of the fuels." @default.
- W2584829707 created "2017-02-10" @default.
- W2584829707 creator A5017998380 @default.
- W2584829707 creator A5055282803 @default.
- W2584829707 creator A5058519936 @default.
- W2584829707 date "2017-02-01" @default.
- W2584829707 modified "2023-09-27" @default.
- W2584829707 title "Chemical Kinetic Insights into the Octane Number and Octane Sensitivity of Gasoline Surrogate Mixtures" @default.
- W2584829707 cites W1145550295 @default.
- W2584829707 cites W1567290674 @default.
- W2584829707 cites W1578052198 @default.
- W2584829707 cites W1588821599 @default.
- W2584829707 cites W1657583423 @default.
- W2584829707 cites W1854910431 @default.
- W2584829707 cites W1855786377 @default.
- W2584829707 cites W1967397435 @default.
- W2584829707 cites W1967594511 @default.
- W2584829707 cites W1968445705 @default.
- W2584829707 cites W1975302862 @default.
- W2584829707 cites W1976132390 @default.
- W2584829707 cites W1987198281 @default.
- W2584829707 cites W1988158079 @default.
- W2584829707 cites W1988310266 @default.
- W2584829707 cites W1995578129 @default.
- W2584829707 cites W1996653334 @default.
- W2584829707 cites W1999651503 @default.
- W2584829707 cites W2009987043 @default.
- W2584829707 cites W2010755506 @default.
- W2584829707 cites W2011084153 @default.
- W2584829707 cites W2019660969 @default.
- W2584829707 cites W2025627800 @default.
- W2584829707 cites W2026330665 @default.
- W2584829707 cites W2031921758 @default.
- W2584829707 cites W2034158482 @default.
- W2584829707 cites W2039367953 @default.
- W2584829707 cites W2043718442 @default.
- W2584829707 cites W2045181096 @default.
- W2584829707 cites W2046033679 @default.
- W2584829707 cites W2047761984 @default.
- W2584829707 cites W2048998010 @default.
- W2584829707 cites W2049160711 @default.
- W2584829707 cites W2049161685 @default.
- W2584829707 cites W2055069428 @default.
- W2584829707 cites W2056621019 @default.
- W2584829707 cites W2056928523 @default.
- W2584829707 cites W2060462583 @default.
- W2584829707 cites W2068507485 @default.
- W2584829707 cites W2075550114 @default.
- W2584829707 cites W2075564286 @default.
- W2584829707 cites W2075596910 @default.
- W2584829707 cites W2077779685 @default.
- W2584829707 cites W2079054774 @default.
- W2584829707 cites W2084178662 @default.
- W2584829707 cites W2096407655 @default.
- W2584829707 cites W2134318784 @default.
- W2584829707 cites W2159046858 @default.
- W2584829707 cites W2161271379 @default.
- W2584829707 cites W2199874066 @default.
- W2584829707 cites W2200835372 @default.
- W2584829707 cites W2203213145 @default.
- W2584829707 cites W2211041805 @default.
- W2584829707 cites W2260675294 @default.
- W2584829707 cites W2278016360 @default.
- W2584829707 cites W2305247786 @default.
- W2584829707 cites W2316726070 @default.
- W2584829707 cites W2323868119 @default.
- W2584829707 cites W2331906244 @default.
- W2584829707 cites W2334725585 @default.
- W2584829707 cites W2336257993 @default.
- W2584829707 cites W2345569020 @default.
- W2584829707 cites W2346217211 @default.
- W2584829707 cites W2462160482 @default.
- W2584829707 cites W2462646109 @default.
- W2584829707 cites W2469589917 @default.
- W2584829707 cites W2519619519 @default.
- W2584829707 cites W2562706041 @default.
- W2584829707 cites W2790080054 @default.
- W2584829707 doi "https://doi.org/10.1021/acs.energyfuels.6b02659" @default.
- W2584829707 hasPublicationYear "2017" @default.
- W2584829707 type Work @default.
- W2584829707 sameAs 2584829707 @default.
- W2584829707 citedByCount "93" @default.
- W2584829707 countsByYear W25848297072017 @default.
- W2584829707 countsByYear W25848297072018 @default.
- W2584829707 countsByYear W25848297072019 @default.
- W2584829707 countsByYear W25848297072020 @default.
- W2584829707 countsByYear W25848297072021 @default.
- W2584829707 countsByYear W25848297072022 @default.
- W2584829707 countsByYear W25848297072023 @default.
- W2584829707 crossrefType "journal-article" @default.
- W2584829707 hasAuthorship W2584829707A5017998380 @default.
- W2584829707 hasAuthorship W2584829707A5055282803 @default.
- W2584829707 hasAuthorship W2584829707A5058519936 @default.
- W2584829707 hasBestOaLocation W25848297072 @default.
- W2584829707 hasConcept C103697071 @default.
- W2584829707 hasConcept C105923489 @default.
- W2584829707 hasConcept C121332964 @default.
- W2584829707 hasConcept C159063594 @default.