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    Numerical investigation on combustion characteristics of both diesel and dual fuel engine at part load conditions using converge cfd
    (2019) Benbellil, Messaoud Abdelalli; Lounici, Mohand Said; Loubar, Khaled; Ouchikh, Sarah
    Petroleum resources are nite and, therefore, search for their alternative non-petroleum fuels for internal combustion engines is continuing all over the world. Moreover, gases emitted by petroleum fuel-driven vehicles harm the environment and human health. Dual-fuel engine (diesel/NG) represents one of a possible solution to reduce emissions from a diesel engine. Therefore, this method has been given a lot of attention from many researchers to improve engine performance and reduce diesel consumption, particularly at full loads. However, it is necessary to study the dual-fuel (DF) combustion process with more details at part loads, due to the poor performance at these conditions. This study numerically investigated the e ect of DF (dual fuel) operating mode on combustion characteristics of an existing diesel engine using natural gas as primary fuel and neat diesel as pilot fuel at part loads by adopting a 3D-CFD simulation using the code CONVERGE. A series of numerical simulations were carried out, the purpose of which to gain a better understanding of the combustion behavior in dual-fuel engines. The results are rst validated using experimental data. A comparison with neat diesel fuel operation is achieved.
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    Vortex dynamics studied over a wide range of time scale in Bi-2212 Crystals
    (1995) Goupil, Ch.; Ruyter, A.; Provost, J.; Aouaroun, T.; Simon, Ch.
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    Distributed dynamics approximation through lumping and fuzzy clustering : reliability and validity issues
    (International Operational Modal Analysis Conference (IOMAC), 2011) Habbi, A.; Kidouche, M.
    This paper presents a fuzzy reasoning based approach for modeling the distributed dynamics of a parallel flow heat exchanger. Distributed-parameter and lumped-parameter models of the heat exchanger are first derived. The validity of such model representations is discussed and limitations regarding their use for practical purposes are presented. The alternative modeling approach presented in this work aims at developing a moderately complex model with interpretable structure for the parallel flow heat exchanger which is the main component of a pilot thermal plant. The proposed multivariable fuzzy rule-based model achieves simultaneous prediction of the air and water temperatures. The experimental study conducted on the real plant shows the performance of the fuzzy model in capturing the key dynamical properties of the physical plant over a wide operating range and under varying dynamics. Copyright © (2011) by International Operational Modal Analysis Conference (IOMAC) All rights reserved