Matches in SemOpenAlex for { <https://semopenalex.org/work/W2321826427> ?p ?o ?g. }
- W2321826427 endingPage "9016" @default.
- W2321826427 startingPage "9004" @default.
- W2321826427 abstract "When it comes to handling large hydrocarbon molecules and describing the pyrolysis and combustion behavior of complex mixtures, the potential and limitations of detailed chemistry require a careful investigation. Indeed, as they involve a large number of species and reactions, detailed kinetic mechanisms often make the model predictions computationally expensive, thus strongly restricting their potential. Therefore, the automatic generation of detailed mechanisms with several thousands of molecular species and elementary reactions, very useful in many circumstances and a prerequisite to derive reduced models, may become useless from a more general application viewpoint. In order to overcome these limitations, in this paper a proper strategy to obtain suitable mechanisms for multidimensional computational fluid dynamics (CFD) applications is presented and discussed. It couples the advantages of two reduction techniques: chemical lumping of species and reactions and a flexible and reliable reduction technique aimed at eliminating unimportant species and reactions. It is shown that a central advantage of semidetailed kinetic models, already reduced with a chemical lumping, is their easier and more effective applicability to successive automatic reductions. Kinetic schemes of n-heptane and n-dodecane oxidation, reduced to 100 and 120 species, respectively, are obtained and compared with experimental data and with the complete original model. These dimensions easily allow the successive use of these reduced kinetic models particularly when the aim is to embody them within computational fluid dynamic models. In particular, simulations of steady-state, axisymmetric, laminar diffusion flames were performed comparing the original and the reduced kinetic mechanisms. The results demonstrated not only the reliability of the reduced mechanisms, but, more importantly, highlighted the great computational advantages, especially in terms of CPU times, of reduced kinetics for the simulation of multidimensional systems. Similar or even more apparent benefits are expected when reducing lumped kinetic schemes of combustion of real transportation fuels, such as gasoline, jet, and diesel fuels." @default.
- W2321826427 created "2016-06-24" @default.
- W2321826427 creator A5003435180 @default.
- W2321826427 creator A5033225635 @default.
- W2321826427 creator A5052185759 @default.
- W2321826427 creator A5077835835 @default.
- W2321826427 creator A5086139474 @default.
- W2321826427 date "2013-12-06" @default.
- W2321826427 modified "2023-10-14" @default.
- W2321826427 title "Lumping and Reduction of Detailed Kinetic Schemes: an Effective Coupling" @default.
- W2321826427 cites W177207695 @default.
- W2321826427 cites W1964375458 @default.
- W2321826427 cites W1970462866 @default.
- W2321826427 cites W1971504124 @default.
- W2321826427 cites W1972452616 @default.
- W2321826427 cites W1978042691 @default.
- W2321826427 cites W1978890272 @default.
- W2321826427 cites W1988927788 @default.
- W2321826427 cites W1996171354 @default.
- W2321826427 cites W2003896572 @default.
- W2321826427 cites W2006855907 @default.
- W2321826427 cites W2007006423 @default.
- W2321826427 cites W2014302600 @default.
- W2321826427 cites W2017743028 @default.
- W2321826427 cites W2020209192 @default.
- W2321826427 cites W2022338204 @default.
- W2321826427 cites W2029704760 @default.
- W2321826427 cites W2030125367 @default.
- W2321826427 cites W2034158482 @default.
- W2321826427 cites W2037036039 @default.
- W2321826427 cites W2037642592 @default.
- W2321826427 cites W2040522248 @default.
- W2321826427 cites W2046033679 @default.
- W2321826427 cites W2046100676 @default.
- W2321826427 cites W2047698532 @default.
- W2321826427 cites W2047829668 @default.
- W2321826427 cites W2048998010 @default.
- W2321826427 cites W2049116351 @default.
- W2321826427 cites W2051248324 @default.
- W2321826427 cites W2056004937 @default.
- W2321826427 cites W2059450510 @default.
- W2321826427 cites W2061495361 @default.
- W2321826427 cites W2067121227 @default.
- W2321826427 cites W2067809794 @default.
- W2321826427 cites W2068299816 @default.
- W2321826427 cites W2070713869 @default.
- W2321826427 cites W2071456151 @default.
- W2321826427 cites W2074041201 @default.
- W2321826427 cites W2078456305 @default.
- W2321826427 cites W2083818584 @default.
- W2321826427 cites W2090600567 @default.
- W2321826427 cites W2091321873 @default.
- W2321826427 cites W2092476057 @default.
- W2321826427 cites W2097540572 @default.
- W2321826427 cites W2131014869 @default.
- W2321826427 cites W2146199590 @default.
- W2321826427 cites W2147897549 @default.
- W2321826427 cites W2154461918 @default.
- W2321826427 cites W2158501965 @default.
- W2321826427 cites W2168575889 @default.
- W2321826427 cites W2180135777 @default.
- W2321826427 cites W2312786953 @default.
- W2321826427 cites W2327082734 @default.
- W2321826427 cites W4234623988 @default.
- W2321826427 doi "https://doi.org/10.1021/ie403272f" @default.
- W2321826427 hasPublicationYear "2013" @default.
- W2321826427 type Work @default.
- W2321826427 sameAs 2321826427 @default.
- W2321826427 citedByCount "94" @default.
- W2321826427 countsByYear W23218264272014 @default.
- W2321826427 countsByYear W23218264272015 @default.
- W2321826427 countsByYear W23218264272016 @default.
- W2321826427 countsByYear W23218264272017 @default.
- W2321826427 countsByYear W23218264272018 @default.
- W2321826427 countsByYear W23218264272019 @default.
- W2321826427 countsByYear W23218264272020 @default.
- W2321826427 countsByYear W23218264272021 @default.
- W2321826427 countsByYear W23218264272022 @default.
- W2321826427 countsByYear W23218264272023 @default.
- W2321826427 crossrefType "journal-article" @default.
- W2321826427 hasAuthorship W2321826427A5003435180 @default.
- W2321826427 hasAuthorship W2321826427A5033225635 @default.
- W2321826427 hasAuthorship W2321826427A5052185759 @default.
- W2321826427 hasAuthorship W2321826427A5077835835 @default.
- W2321826427 hasAuthorship W2321826427A5086139474 @default.
- W2321826427 hasBestOaLocation W23218264272 @default.
- W2321826427 hasConcept C105923489 @default.
- W2321826427 hasConcept C111335779 @default.
- W2321826427 hasConcept C121332964 @default.
- W2321826427 hasConcept C121864883 @default.
- W2321826427 hasConcept C127413603 @default.
- W2321826427 hasConcept C135889238 @default.
- W2321826427 hasConcept C1633027 @default.
- W2321826427 hasConcept C178790620 @default.
- W2321826427 hasConcept C183696295 @default.
- W2321826427 hasConcept C185592680 @default.
- W2321826427 hasConcept C186060115 @default.
- W2321826427 hasConcept C2524010 @default.