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    Investigating and Comparison of Emission and Fuel Consumption Behavior of Diesel Vehicles under Various Elevations Using Portable

    , M.Sc. Thesis Sharif University of Technology Ashjaee, Behzad (Author) ; Hosseini, Vahid (Supervisor)
    Abstract
    As elevation increase, environmental impacts will change, and this will affect on vehicle performance. The pressure drop and consequently the drop in air density at high altitude affect the volumetric efficiency of the engine. This exacerbates engine combustion, since the engine displacement volume is constant, with the drop in air density, the intake air mass flow rate decreases. In this situation, the engine does not have enough air to burn the fuel, and as a result the engine ignition will getting into the defect. ECU only changes the amount of injecting fuel and has no control on the entering air flow to the engine. In such circumstances, emissions from the vehicle are expected to... 

    Tuning the implementable structures of fractional-order PID controllers for control of FOPDT processes

    , Article Scientia Iranica ; Volume 29, Issue 2 D , 2022 , Pages 660-675 ; 10263098 (ISSN) Ashjaee, M ; Tavazoei, M. S ; Sharif University of Technology
    Sharif University of Technology  2022
    Abstract
    This study presents a set of rules for optimal tuning of a class of integer-order controllers, known as implementable fractional-order PID controllers, so that they can be employed to control First Order Plus Dead Time (FOPDT) processes. To this end, "tuning based on the implementable form of the controller"is an approach that has been applied instead of the common approach of "tuning based on the ideal form of the controller". Consequently, no contradiction is found between the behavior of the tuned controller and that of the implemented controller. Also, algebraic relations between the values of cost functions, which are defined based on Integral Square Error (ISE) and Integral Square Time... 

    Mixed convection cooling of a heated circular cylinder by laminar upward-directed slot jet impingement

    , Article Heat and Mass Transfer/Waerme- und Stoffuebertragung ; Volume 46, Issue 2 , 2009 , Pages 225-236 ; 09477411 (ISSN) Amiri, S ; Habibi, K ; Faghani, E ; Ashjaee, M ; Sharif University of Technology
    2009
    Abstract
    An experimental and numerical study has been carried out to investigate the heat transfer characteristics of a horizontal circular cylinder exposed to a slot jet impingement of air. A square-edged nozzle is mounted parallel with the cylinder axis and jet flow impinges on the bottom of the cylinder. The study is focused on low Reynolds numbers ranging from 120 to 1,210, Grashof numbers up to Gr = 10Re2 and slot-to-cylinder spacing from 2 to 8 of the slot width. The flow field is greatly influenced by the slot exit velocity and the buoyancy force due to density change. A Mach-Zehnder Interferometer is used for measurement of local Nusselt number around the cylinder at 10° interval. It is... 

    Thermal Conductivity of Fe2O3 and Fe3O4 Magnetic Nanofluids Under the Influence of Magnetic Field

    , Article International Journal of Thermophysics ; Volume 36, Issue 10-11 , September , 2015 , Pages 2720-2739 ; 0195928X (ISSN) Karimi, A ; Goharkhah, M ; Ashjaee, M ; Shafii, M. B ; Sharif University of Technology
    Springer New York LLC  2015
    Abstract
    In this paper, the thermal conductivity of water-based hematite Fe2O3 and magnetite Fe3O4 nanofluids have been investigated in the absence and presence of a uniform magnetic field. The experiments have been performed in the volume concentration range of 0 % to 4.8 % and the temperature range of 20∘C to 60∘C. The effects of the particle volume fraction, temperature, and magnetic field strength on the thermal conductivity have been analyzed. Results show that the thermal conductivity of iron oxide nanofluids has a direct relation with the particle volume fraction and temperature, without the presence of a magnetic field. But surprisingly, when the magnetic field is applied, it is observed that... 

    Optimization of the angle of attack of delta-winglet vortex generators over a bank of elliptical-tubes heat exchanger

    , Article ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE) ; Volume 8 A , 2013 ; 9780791856345 (ISBN) Godazandeh, K ; Godazandeh, B ; Ansari, M. H ; Ashjaee, M ; ASME ; Sharif University of Technology
    American Society of Mechanical Engineers (ASME)  2013
    Abstract
    In order to reach a more efficient and compact heat exchanger, it is essential to optimize the design, having in mind the impact of different geometrical parameters. Many of the previously cited studies in the area of heat transfer enhancement using vortex generators were confined only to defined points in the possible design space. Thus, a multiobjective optimization study is particularly suitable in order to cover this space entirely. A CFD simulation along with Pareto method were used to simulate the air flow and heat transfer and optimize the design parameters. The angle of attack of a pair of delta-winglets mounted behind each tube is varied between β = -90° and ß = +90°. Three... 

    Experimental and numerical study on heat transfer characteristics for methane/air flame impinging on a flat surface

    , Article International Journal of Thermal Sciences ; Volume 110 , 2016 , Pages 229-240 ; 12900729 (ISSN) Morad, M. R ; Momeni, A ; Ebrahimi Fordoei, E ; Ashjaee, M ; Sharif University of Technology
    Elsevier Masson SAS  2016
    Abstract
    Heat flux from a premixed methane/air slot laminar flame jet impinging upward to a horizontal target plate is studied experimentally and numerically. Mach-Zehnder interferometer is used to obtain the overall temperature field. The flame jet is produced by a slot nozzle with length of L = 25 mm and width of W = 3 mm. The slot nozzle is parallel to the target plate which has the dimensions of 250 × 130 × 10 mm. The experimentally obtained heat flux distributions were compared for different firing rates and nozzle to plate spacing. A second peak in heat flux to the target surface (an off-center peak with respect to the axis of the nozzle) was observed for the shortest spacing and highest firing... 

    Liquid-liquid coaxial swirl injector performance prediction using general regression neural network

    , Article Particle and Particle Systems Characterization ; Volume 25, Issue 5-6 , 2009 , Pages 454-464 ; 09340866 (ISSN) Ghorbanian, K ; Soltani, M. R ; Ashjaee, M ; Morad, M. R ; Sharif University of Technology
    2009
    Abstract
    A general regression neural network technique was applied to design optimization of a liquid-liquid coaxial swirl injector. Phase Doppler Anemometry measurements were used to train the neural network. A general regression neural network was employed to predict droplet velocity and Sauter mean diameter at any axial or radial position for the operating range of a liquid-liquid coaxial swirl injector. The results predicted by neural network agreed satisfactorily with the experimental data. A general performance map of the liquid-liquid coaxial swirl (LLCS) injector was generated by converting the predicted result to actual fuel/oxidizer ratios. © 2008 WILEY-VCH Verlag GmbH & Co. KGaA  

    Neural network analysis of single swirl spray pattern at various pressure drops

    , Article 39th AIAA/ASME/SAE/ASEE Joint Propulsion Conference and Exhibit 2003, Huntsville, AL, 20 July 2003 through 23 July 2003 ; 2003 ; 9781624100987 (ISBN) Soltani, M. R ; Ghorbanian, K ; Ashjaee, M ; Morad, M. R ; Sharif University of Technology
    American Institute of Aeronautics and Astronautics Inc  2003
    Abstract
    Radial Basis Function, a neural network based interpolation method, is used to simulate swirling spray phenomenon. From this model, the profile of mean velocity components' distribution along the main axis of the injector at various pressure drops and spray measurements' plane are obtained and analyzed. Experimental data obtained through Phase Doppler Anemometer is used to train this model. The results are compared with experimental data as well as to those obtained through General Regression Neural Network method as another neural network based interpolation method investigated previously by the authors. © 2003 by M.R. Soltani  

    Neural network prediction of a liquid-liquid coaxial swirl injector performance map

    , Article 43rd AIAA Aerospace Sciences Meeting and Exhibit, Reno, NV, 10 January 2005 through 13 January 2005 ; 2005 , Pages 11401-11408 Ghorbanian, K ; Soltani, M. R ; Morad, M. R ; Ashjaee, M ; Sharif University of Technology
    American Institute of Aeronautics and Astronautics Inc  2005
    Abstract
    A general regression neural network technique is applied for design optimization of liquid-liquid coaxial swirl injectors. Phase Doppler Anemometry measurements for velocity and SMD distributions for various Reynolds numbers are used to train the neural network to generate the injector's performance map. Excellent agreement between the predicted values and the measurements is obtained. It is observed that by reducing the number of randomly selected training samples to about one third of the number of prediction points, one may reconstruct the velocity field in the extrapolation regime with an accuracy of 93%. Copyright © 2005 by the American Institute of Aeronautics and Astronautics, Inc.... 

    PDA and neural network investigation of swirl spray interaction phenomena

    , Article Particle and Particle Systems Characterization ; Volume 22, Issue 3 , 2005 , Pages 192-206 ; 09340866 (ISSN) Soltani, M. R ; Ghorbanian, K ; Ashjaee, M ; Morad, M. R ; Sharif University of Technology
    2005
    Abstract
    Experiments are performed to investigate the atomization characteristics of mixed-interaction regions of sprays of two swirl injectors installed side by side. Both droplet size and velocity distributions on a plane perpendicular to the axes of the injectors are measured using a PDA system. As a result of the interaction phenomenon, a region of secondary atomization is identified that differs significantly from the hollow region spray of a single swirl injector. A neural network algorithm is used to reconstruct the entire spray field for both droplet size and velocity distribution in extrapolation regimes for injector spacing as well as three dimen sional spatial coordinates. Excellent... 

    Spray characteristics of a liquid-liquid coaxial swirl atomizer at different mass flow rates

    , Article Aerospace Science and Technology ; Volume 9, Issue 7 , 2005 , Pages 592-604 ; 12709638 (ISSN) Soltani, M. R ; Ghorbanian, K ; Ashjaee, M ; Morad, M. R ; Sharif University of Technology
    2005
    Abstract
    An experimental investigation is performed to explore the characteristics of sprays produced by a liquid-liquid coaxial swirl injector in a non-combusting environment. Phase Doppler anemometry is used for the measurement of velocity and Sauter Mean Diameter of droplets across and along the injection axis for various inner- and outer mass flow rates. Results of the combined spray are compared with those of inner- and/or outer spray alone. The results indicate that the inner injector has a larger influence on the flow field of the combined spray compared to the outer one. Further, the maximum velocity of the combined spray is close to the center of the spray thickness and the velocity... 

    Velocity field reconstruction in the mixing region of swirl sprays using general regression neural network

    , Article Journal of Fluids Engineering, Transactions of the ASME ; Volume 127, Issue 1 , 2005 , Pages 14-23 ; 00982202 (ISSN) Ghorbanian, K ; Soltani, M. R ; Morad, M. R ; Ashjaee, M ; Sharif University of Technology
    2005
    Abstract
    A general regression neural network technique is proposed for design optimization of pressure-swirl injectors. Phase doppler anemometry measurements for velocity distributions are used to train the neural network. An overall optimized value for the width of the probability is determined. The velocity field in the extrapolation regime is reconstructed with an accuracy of 93%. Excellent agreement between the predicted values and the measurements is obtained. The results indicate that the capability of performing designand optimization studies for pressure-swirl injectors with sufficient accuracy exists by applying modest amount of data in conjunction with an overall optimized value for the... 

    Experimental investigation on thermal conductivity of water based nickel ferrite nanofluids

    , Article Advanced Powder Technology ; Volume 26, Issue 6 , November , 2015 , Pages 1529-1536 ; 09218831 (ISSN) Karimi, A ; Sadatlu, M. A. A ; Saberi, B ; Shariatmadar, H ; Ashjaee, M ; Sharif University of Technology
    Elsevier  2015
    Abstract
    Experimental investigations are performed in order to determine the thermal conductivity of NiFe2O4 nanoparticles dispersed in deionized water. The magnetic nanoparticles are synthesized using a microemulsion method. The X-ray diffraction (XRD), transmission electronic microscopy (TEM), and vibration sample magnetometer (VSM) are used to characterize the structure, the size and the magnetic properties of the nanoparticles. The VSM results disclose that the NiFe2O4 nanoparticles are ferromagnetic at room temperature. Experimental measurements on thermal conductivity of the prepared nanofluids are conducted at different volume concentrations between 0% and 2% and in the temperature range of... 

    Prediction of velocity distribution in the mixing region of swirl sprays using neural network implementation

    , Article 33rd AIAA Fluid Dynamics Conference and Exhibit 2003, Orlando, FL, 23 June 2003 through 26 June 2003 ; 2003 ; 9781624100956 (ISBN) Soltani, M. R ; Ghorbanian, K ; Ashjaee, M ; Mesbahi, M. H ; Morad, M. R ; Sharif University of Technology
    2003
    Abstract
    Phase Doppler Anemometer (PDA) was used to measure velocity distribution in the mixed spray field of two identical pressure-swirl atomizers placed beside each other. A memory-based network that provides estimates of continuous variables was developed to simulate the results. This general regression neural network (GRNN) is a one-pass learning algorithm with a highly parallel structure and can be used for any multidimensional regression problem, where an assumption of linearity is not justified. The approach is not limited to any particular form and requires no pre-knowledge of the appropriate form that any usual correlation technique requires. The predicted results are in excellent agreement... 

    A new method for detection of rolling bearing faults based on the Local Curve Roughness approach

    , Article Polish Maritime Research ; Volume 18, Issue 2 , July , 2011 , Pages 44-50 ; 12332585 (ISSN) Behzad, M ; Bastami, A ; Sharif University of Technology
    2011
    Abstract
    Detection of rolling bearing faults by vibration analysis is an important part of condition monitoring programs. In this paper a new method for detection of bearing defects based on a new concept of local surface roughness, is proposed. When a defect in the bearing grows then roughness of the defective surface increases and measurement of the roughness can be a good indicator of the bearing defect. In this paper a method of indirectly measuring surface roughness by using vibration signal is introduced. Several attached examples including both numerically simulated signals and actual experimental data show the effectiveness of the new, easy-to-implement method  

    Numerical and experimental investigation of the vibration of rotors with loose discs

    , Article Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science ; Volume 224, Issue 1 , 2010 , Pages 85-94 ; 09544062 (ISSN) Behzad, M ; Asayesh, M ; Sharif University of Technology
    2010
    Abstract
    In this study, the energy method has been used to develop a finite-element code for studying the effects of loose rotating discs on the rotor-bearing systems' response. A mathematical model of the loose disc has resulted in terms similar to unbalance and gyroscopic effects in the equation of motion of the system. Results of this study show that rotor response and beating phenomena are a function of measurement location, loose disc mass and inertia, ratio of rotating speed to the speed of loose disc, and clearance between the loose disc and shaft considering constant speed for loose disc and shaft. The developed finite-element model can numerically give the response of rotors with any number... 

    Friction-induced backward rub of rotors in non-annular clearances: Experimental observations and numerical analysis

    , Article Tribology International ; Volume 152 , 2020 Behzad, M ; Alvandi, M ; Sharif University of Technology
    Elsevier Ltd  2020
    Abstract
    During backward rub in a turbomachine, rotor is compelled by frictional forces into a severe precessional sliding motion inside stationary parts such as seals or journal bearings in opposite direction of rotor's rotation. Backward rub occurs with high frequency and high amplitude of vibration and can deteriorates rubbing surfaces just for few moments. This paper presents and investigates the idea of clearance profile alteration from annular form to non-annular 3-lobed form in order to affect the reverse rub's characteristics. For this purpose, a test setup consisting of a lightly damped rotor-stator system is designed and built in SUT's condition-monitoring laboratory for testing the... 

    Unbalance-induced rub between rotor and compliant-segmented stator

    , Article Journal of Sound and Vibration ; Volume 429 , 2018 , Pages 96-129 ; 0022460X (ISSN) Behzad, M ; Alvandi, M ; Sharif University of Technology
    Academic Press  2018
    Abstract
    Today, turbomachinery designers are trying to attain zero clearances for optimizing performance and efficiency of machine by designing advanced compliant-segmented seals. This trend involves secondary issues such as rotor-to-stator contact interaction which is to be treated with more technical knowledge in rotordynamic design and condition monitoring programs. The aim of this paper is to gain insight into dynamic interaction between a flexible rotor and a set of compliant arc-shaped segments as stator system. Specifically, the unbalanced-induced forward rubbing response is investigated in tight clearance condition during resonance-passing situations. A Jeffcott rotor modeling is used for... 

    Experimental investigation on response and efficiency of moored pontoon type floating breakwaters

    , Article Iranian Journal of Science and Technology, Transaction B: Engineering ; Volume 31, Issue 1 , 2007 , Pages 95-99 ; 03601307 (ISSN) Behzad, M ; Akbari, M ; Sharif University of Technology
    2007
    Abstract
    This paper presents the experimental results of an investigation on the response and efficiency of floating pontoon type breakwaters. Random waves modeled by the Pierson Moskowits wave spectrum are used for various configurations of floating breakwaters. The experimental results are presented in graphs for the transmission coefficient as a function of incident wave length and height for breakwaters used in this study. The obtained results for the breakwaters of this study show that by increasing the wave period and length, the transmission coefficient increases, while increase in the mass and draft of the floating breakwater causes the transmission coefficient to reduce. © Shiraz University  

    Fault Detection of Rotary System with Signal Processing and Intelligent Systems

    , M.Sc. Thesis Sharif University of Technology Tebyanian, Afshin (Author) ; Behzad, Mehdi (Supervisor)
    Abstract
    Condition monitoring and fault detection is an important way to provide economy in both time and costs. Many methods are developed for this purpose. Vibration analysis is one of the most important ways in this field. In this thesis, fault detection of mechanical rotary systems with nonlinear and non-stationary nature has been developed by use of empirical mode decomposition (EMD) and Hilbert transform. Firstly the measured signal is transformed into some intrinsic mode functions (IMF’s) by EMD, and then the Hilbert transform is implemented on each IMF. With Hilbert transform, the instantaneous frequency of system and then the mean frequency are obtained. Mean frequency is a key definition...