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    Statistical modeling of consecutive range profiles for radar target recognition

    , Article Proceedings International Radar Symposium, Dresden ; Volume 2 , June , 2013 , Pages 608-613 ; 21555753 (ISSN) ; 9783954042234 (ISBN) Ajorloo, A ; Hadavi, M ; Nayebi, M. M ; Bastani, M. H ; Sharif University of Technology
    2013
    Abstract
    The high resolution range profile (HRRP) is known as the most important tool in radar target recognition. Mainly, the sensitivity to the aspect angle limits the performance of the related methods. To overcome this problem, Gaussian mixture distribution is used to model the short-term relation of consecutive HRRPs. In this work, an alternative dynamical system based method is proposed to overcome the limitations of recent methods in the field such as the independency assumption. Here, the performance of the method is tested by the data produced in an electromagnetic simulation for the radar return from an aerial maneuvering target. The results show the performance of the proposed method... 

    CFD based optimization of the mixture formation in spark ignition direct injection CNG engine

    , Article Scientia Iranica ; Vol. 21, issue. 5 , 2014 , p. 1621-1634 Chitsaz, I ; Saidi, M. H ; Mozafari, A. A ; Sharif University of Technology
    Abstract
    This paper describes optimization of the combustion chamber geometry and injection timing of a new generation of EF7 engine, where CNG is directly injected to the combustion chamber, with the aim of providing the best mixture at low and high speeds. The Multi-Objective Genetic Algorithm (MOGA) is coupled with the KIVA Computational Fluid Dynamics (CFD) code, with grid generation, in order to maximize the flammable mass of the mixture. This would result in better combustion and improved fuel economy. The optimization variables related to the combustion chamber are seven geometry variables and injection timing. Through the present optimization, a great improvement in mixture distribution is... 

    Thermodynamic modeling of partially stratified charge engine characteristics for hydrogen-methane blends at ultra-lean conditions

    , Article International Journal of Hydrogen Energy ; Volume 38, Issue 25 , August , 2013 , Pages 10640-10647 ; 03603199 (ISSN) Aliramezani, M ; Chitsaz, I ; Mozafari, A. A ; Sharif University of Technology
    2013
    Abstract
    A thermodynamic model considering flame propagation is presented to predict SI engine characteristics for hydrogen-methane blends. The partially charge stratification approach which involves micro direct injection of pure fuel or a fuel-air mixture, to create a rich zone near the spark plug, is proposed as a method to improve engine performance. Presented approach was validated with experimental data for the natural gas at lean condition. The model was generalized to predict the performance of engine for a variety of hydrogen contents in hydrogen-methane blends. Hydrogen molar concentrations of 0%, 15%, 30%, and 45% were used in the simulations. Results showed that partially charge...