Matches in SemOpenAlex for { <https://semopenalex.org/work/W2018236463> ?p ?o ?g. }
Showing items 1 to 97 of
97
with 100 items per page.
- W2018236463 endingPage "770" @default.
- W2018236463 startingPage "757" @default.
- W2018236463 abstract "In the present study a previously developed soot model has been tested extensively for conventional and low temperature diesel combustion engine simulations. The soot model framework, which was implemented in the Computational Fluid Dynamics (CFD) code KIVA-CHEMKIN, is based on four fundamental steps, viz., soot inception through a four ring polycyclic aromatic hydrocarbon species, soot surface growth through acetylene and benzene, soot coagulation, and oxygen and OH-induced soot oxidation. The proposed model can be used not only for soot mass predictions, but also for soot number density and soot particle diameter predictions. Diesel combustion was simulated using reduced n-heptane/primary reference fuel (PRF) chemistry mechanisms and a reduced polycyclic aromatic hydrocarbon (PAH) chemistry mechanism, while the n-heptane chemistry mechanism was used for modeling constant volume n-heptane combustion. Soot model performance was evaluated by comparing the model predictions with available constant volume combustion chamber optical diagnostic experiments, optical engine in-cylinder soot data, and a light-duty single cylinder metal engine-out smoke data. In particular, a variety of combustion regimes were tested, including conventional diesel, premixed charge compression ignition (PCCI), and high exhaust gas recirculation (EGR) low temperature combustion (LTC). In general, the model was able to predict well the trends in soot mass over the range of operating conditions. With increasing degree of premixing, the model was able to predict relatively lower soot concentrations compared to diffusion combustion. In terms of soot particle diameter, the model computed particle size was seen to increase with increasing simulated EGR when the ambient oxygen concentration was varied from 21% to 8% by volume and with increasing in-cylinder density (14.8 kg/m3 vs. 30 kg/m3 at the same in-cylinder O2 level) under steady-state constant volume combustion conditions. It is also observed from the optical and metal engine studies that the soot particle size is larger for high temperature combustion conditions that are marked with high soot formation rates during the combustion process and may or may not lead to smaller particles at exhaust valve opening (EVO) depending on the oxidation rates. The soot size for LTC is generally lower through-out the combustion process including EVO conditions. All but one data-point show uni-modal type soot particle size distribution with respect to both soot mass and particle number." @default.
- W2018236463 created "2016-06-24" @default.
- W2018236463 creator A5055610449 @default.
- W2018236463 creator A5077107806 @default.
- W2018236463 date "2015-01-01" @default.
- W2018236463 modified "2023-10-16" @default.
- W2018236463 title "Application of a semi-detailed soot modeling approach for conventional and low temperature diesel combustion – Part I: Model performance" @default.
- W2018236463 cites W1568728495 @default.
- W2018236463 cites W1970837169 @default.
- W2018236463 cites W1986005039 @default.
- W2018236463 cites W1996929786 @default.
- W2018236463 cites W1998113907 @default.
- W2018236463 cites W2012991828 @default.
- W2018236463 cites W2015796140 @default.
- W2018236463 cites W2019320281 @default.
- W2018236463 cites W2039616313 @default.
- W2018236463 cites W2043309686 @default.
- W2018236463 cites W2053722920 @default.
- W2018236463 cites W2056130021 @default.
- W2018236463 cites W2060318249 @default.
- W2018236463 cites W2092600749 @default.
- W2018236463 cites W2126982668 @default.
- W2018236463 cites W2332671658 @default.
- W2018236463 cites W2747321226 @default.
- W2018236463 cites W4247015771 @default.
- W2018236463 cites W3021832706 @default.
- W2018236463 doi "https://doi.org/10.1016/j.fuel.2014.08.026" @default.
- W2018236463 hasPublicationYear "2015" @default.
- W2018236463 type Work @default.
- W2018236463 sameAs 2018236463 @default.
- W2018236463 citedByCount "47" @default.
- W2018236463 countsByYear W20182364632015 @default.
- W2018236463 countsByYear W20182364632016 @default.
- W2018236463 countsByYear W20182364632017 @default.
- W2018236463 countsByYear W20182364632018 @default.
- W2018236463 countsByYear W20182364632019 @default.
- W2018236463 countsByYear W20182364632020 @default.
- W2018236463 countsByYear W20182364632021 @default.
- W2018236463 countsByYear W20182364632022 @default.
- W2018236463 countsByYear W20182364632023 @default.
- W2018236463 crossrefType "journal-article" @default.
- W2018236463 hasAuthorship W2018236463A5055610449 @default.
- W2018236463 hasAuthorship W2018236463A5077107806 @default.
- W2018236463 hasBestOaLocation W20182364631 @default.
- W2018236463 hasConcept C105923489 @default.
- W2018236463 hasConcept C113196181 @default.
- W2018236463 hasConcept C121332964 @default.
- W2018236463 hasConcept C138171918 @default.
- W2018236463 hasConcept C178790620 @default.
- W2018236463 hasConcept C185592680 @default.
- W2018236463 hasConcept C192562407 @default.
- W2018236463 hasConcept C20556612 @default.
- W2018236463 hasConcept C24245907 @default.
- W2018236463 hasConcept C2775925408 @default.
- W2018236463 hasConcept C2780804531 @default.
- W2018236463 hasConcept C3432839 @default.
- W2018236463 hasConcept C6506403 @default.
- W2018236463 hasConcept C83104080 @default.
- W2018236463 hasConcept C97355855 @default.
- W2018236463 hasConceptScore W2018236463C105923489 @default.
- W2018236463 hasConceptScore W2018236463C113196181 @default.
- W2018236463 hasConceptScore W2018236463C121332964 @default.
- W2018236463 hasConceptScore W2018236463C138171918 @default.
- W2018236463 hasConceptScore W2018236463C178790620 @default.
- W2018236463 hasConceptScore W2018236463C185592680 @default.
- W2018236463 hasConceptScore W2018236463C192562407 @default.
- W2018236463 hasConceptScore W2018236463C20556612 @default.
- W2018236463 hasConceptScore W2018236463C24245907 @default.
- W2018236463 hasConceptScore W2018236463C2775925408 @default.
- W2018236463 hasConceptScore W2018236463C2780804531 @default.
- W2018236463 hasConceptScore W2018236463C3432839 @default.
- W2018236463 hasConceptScore W2018236463C6506403 @default.
- W2018236463 hasConceptScore W2018236463C83104080 @default.
- W2018236463 hasConceptScore W2018236463C97355855 @default.
- W2018236463 hasFunder F4320338287 @default.
- W2018236463 hasFunder F4320338291 @default.
- W2018236463 hasLocation W20182364631 @default.
- W2018236463 hasLocation W20182364632 @default.
- W2018236463 hasOpenAccess W2018236463 @default.
- W2018236463 hasPrimaryLocation W20182364631 @default.
- W2018236463 hasRelatedWork W2040280167 @default.
- W2018236463 hasRelatedWork W2041850053 @default.
- W2018236463 hasRelatedWork W2350177130 @default.
- W2018236463 hasRelatedWork W2354678869 @default.
- W2018236463 hasRelatedWork W2385127712 @default.
- W2018236463 hasRelatedWork W2898840461 @default.
- W2018236463 hasRelatedWork W3011074579 @default.
- W2018236463 hasRelatedWork W314826167 @default.
- W2018236463 hasRelatedWork W3161923000 @default.
- W2018236463 hasRelatedWork W760218762 @default.
- W2018236463 hasVolume "139" @default.
- W2018236463 isParatext "false" @default.
- W2018236463 isRetracted "false" @default.
- W2018236463 magId "2018236463" @default.
- W2018236463 workType "article" @default.