Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Luke Di Liddo"'
Publikováno v:
Energies, Vol 14, Iss 5, p 1394 (2021)
Particulate matter (soot) emissions from combustion processes have damaging health and environmental effects. Numerical techniques with varying levels of accuracy and computational time have been developed to model soot formation in flames. High-fide
Externí odkaz:
https://doaj.org/article/c4d6e9f30bfe41318319be648b16a3d3
A diverse range of polycyclic aromatic compounds (PACs) is thought to exist in flame environments before and during soot inception. This work seeks to develop a machine learning (ML)-based soot inception model that considers detailed and diverse PAC
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b913ff9eb241fde40364c36955f80ce5
https://doi.org/10.32920/22669951.v1
https://doi.org/10.32920/22669951.v1
Dimethyl ether (DME) is a non-toxic and renewable fuel known for its soot emissions reduction tendencies. In laminar co-flow DME diffusion flames, adding oxygen to the fuel stream increases the sooting tendency until a critical point is reached, at w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1cdf85919142258fa6dd41884a1c7bd1
https://doi.org/10.32920/22662031.v1
https://doi.org/10.32920/22662031.v1
Autor:
Luke Di Liddo, David Naylor
A numerical and experimental study, in the preliminary stages, has been conducted examining the effect of swirling flow on the natural convective heat transfer rate from a flat, horizontal, heated, upward facing, isothermal circular disk surrounded b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::517f382b5fc65c9f04e664615f632fbb
https://doi.org/10.32920/ryerson.14635692
https://doi.org/10.32920/ryerson.14635692
Publikováno v:
Energies; Volume 14; Issue 5; Pages: 1394
Energies, Vol 14, Iss 1394, p 1394 (2021)
Energies, Vol 14, Iss 1394, p 1394 (2021)
Particulate matter (soot) emissions from combustion processes have damaging health and environmental effects. Numerical techniques with varying levels of accuracy and computational time have been developed to model soot formation in flames. High-fide