Výsledky vyhledávání - "Assaad Masri"

Comparative Study of the Catalytic Oxidation of Hydrocarbons on Platinum and Palladium Wires and Nanoparticles

Autor: Alejandro Montoya, Hassnain Abbas Khan, Assaad Masri, Jihad Badra, Aamir Farooq, Mohamed Nagy Marei

Publikováno v: Energy & Fuels. 36:2044-2057

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3a4957a4cdf98a074530f6fe35d6d400
https://doi.org/10.1021/acs.energyfuels.1c04136

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Autor: Epaminondas Mastorakos, Assaad Masri

Publikováno v: Flow, Turbulence and Combustion. 90:217-218

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d74d86939a53942a56f1d84a3ee59dca
https://doi.org/10.1007/s10494-013-9448-x

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Akademický článek

An Experimental Investigation of the Turbulence Structure of a Lifted H2/N2 Jet Flame in a Vitiated Co-Flow.

Autor: Zhijun Wu, Assaad Masri, Robert Bilger

Publikováno v: Flow, Turbulence & Combustion; Jan2006, Vol. 76 Issue 1, p61-81, 21p

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Conditional moment closure for LES of compressible premixed combustion

Autor: Ben Thornber, Assaad Masri, Bob Bilger, E Hawkes

Publikováno v: Scopus-Elsevier

Subgrid modelling of non-premixed combustion employing Conditional Moment Closure (CMC) has gained excellent results in both Reynolds-Averaged Navier Stokes (RANS) and Large-Eddy Simulation (LES). However, CMC modelling has not yet been applied to LE

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::991dcdc3f482430389636fd4952abaa0
http://www.scopus.com/inward/record.url?eid=2-s2.0-84884614344&partnerID=MN8TOARS

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Utilising artificial neural network and repro-modelling in turbulent combustion

Autor: Christo, Fc, Assaad Masri, Nebot, Em, Turanyi, T., IEEE

Publikováno v: ResearcherID

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::013e44bf8cda90737bf78691a38106ff
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=ORCID&SrcApp=OrcidOrg&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=WOS:A1995BF46H00175&KeyUID=WOS:A1995BF46H00175

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An artificial neutral network (ANN) model for predicting biodiesel kinetic viscosity as a function of temperature and chemical compositions

Autor: Jahirul, M. I., Senadeera, W., Brooks, P., Brown, R. J., Situ, R., Pham, P. X., Assaad Masri

Publikováno v: Scopus-Elsevier
ResearcherID

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::1616e493a2a160704f419514d2b0ab9c
http://www.scopus.com/inward/record.url?eid=2-s2.0-85020016510&partnerID=MN8TOARS

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