Master Degree / Yüksek Lisans Tezleri

Permanent URI for this collectionhttps://hdl.handle.net/11147/3008

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Department: search.filters.department.Thesis (Master)--İzmir Institute of Technology, Energy Systems EngineeringSubject: search.filters.subject.Diesel fuels

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  • Master Thesis
    An Adaptive Neuro-Fuzzy Approach for Modeling the Effects of Water-In Emulsion on Diesel Sprays
    (Izmir Institute of Technology, 2016) Yavuz, Bekir Kağan; Rodriguez, Alvaro Diez; Rodriguez, Alvaro Diez; Saplıoğlu, Kemal; 03.10. Department of Mechanical Engineering; 03. Faculty of Engineering; 01. Izmir Institute of Technology
    This thesis is prepared as an outcome of the Energy Engineering Master of Science program at Izmir Institute of Technology, IZTECH, in Turkey. The main purpose of this study is to analyse the effects of water content in diesel fuel spray behaviours using adaptive neuro-fuzzy inference system models (ANFIS) for compression ignition engines. The investigations are carried out using numerical models of ANFIS in MATLAB R2011a, generating simulations from training and test datasets based on recent experimental studies from the literature. The thesis primarily tests the use and the fitness of ANFIS models, modifying the neural network structure so that the simulations acceptably reach the experimental results accurately. Then secondarily, the simulation is used to investigate the effects of parameters originally not available in the related study. The investigation mainly focusses on water in diesel emulsions from pure diesel to an emulsion with 20% water content. Operational conditions such as chamber ambient pressure, injection pressure, chamber ambient temperature are also investigated to find their effects over spray penetration. It was found that the increase of water content in the diesel fuel did not have a relevant effect at very low and very high temperatures, however at medium-high temperatures it increased spray penetration. Furthermore, it was observed that the increase of chamber ambient pressure and chamber ambient temperature reduced the spray penetration as expected.
  • Master Thesis
    Stochasting reactor model for surrogate diesel fuels
    (Izmir Institute of Technology, 2015) Sandal, Gökçen; Mobedi, Moghtada; Diez Rodriguez, Alvaro; Mobedi, Moghtada; 03.10. Department of Mechanical Engineering; 03. Faculty of Engineering; 01. Izmir Institute of Technology
    The objective of this thesis is to develop of various surrogate fuels with computational engine simulation tools based on stochastic reactor models (SRMs) in direct injection engines (DI). The SRM is based on probability density function (PDF) approach which has important ability to calculate complex reactions, energy equations and mass transfer. It is also successful to control the effects of inhomogeneities and turbulence with low computational cost. Since the diesel fuel is very complex to solve in numerical tools, surrogate fuels were tested in this study. N-heptane, n-heptane / toluene and n-heptane / isooctane mixtures were used as surrogate fuels due to their physical and chemical properties were very close to diesel fuel. These fuels were tested under different injection timings and the calculated results were compared with an experimental study’s data. Comparison of ignition delay results demonstrate a good agreement between theoretical and experimental data, but soot formations were different when compared to literature and reference study. Fuel properties, structures or discrepancy between engine operating conditions and numerical model could be the cause of these differences.