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    Effect of Temperature Gradient on Ultrasonic Flowmeters

    , M.Sc. Thesis Sharif University of Technology Fathi, Shayan (Author) ; Sadrhosseini, H (Supervisor) ; Kazemzadeh Hannani, Siamak (Co-Advisor)
    Abstract
    Ultrasonic flowmeters are one of the common and profitable measurement tools and applied in many industrial fields.Ultrasonic flowmeters work based on transit-time technique. The transit-time utilizes the propagation time of the ultrasonic signal in the fluid. Since ultrasonic signals can also penetrate solid materials, a pair of transducers is installed on the surface of tube. Each transducer works alternatively as both transmitter and receiver of ultrasonic signals.In this study, effect of temperature gradient on flowmeter measurements by applying constant temperature and uniform heat flux on the boundary is investigated numerically for methane gas in laminar flow regime and the results... 

    Light Duty Vehicles' Emission Reduction Potentials in Megacities
    Using New Powertrain Technologies (Case Study: Tehran)

    , M.Sc. Thesis Sharif University of Technology Askariyeh, Mohammad Hashem (Author) ; Erhami, M. (Mohammad) (Supervisor) ; Pourzahedi, H. (Hossein) (Supervisor)
    Abstract
    Tehran is one of the most polluted megacities in the world, and based on different studies, vehicular sources are responsible for most of the criteria pollutant emissions in this city. The number of vehicles on the streets has been increased drastically leading to growing amount of emission and this trend is continuing. In order to reduce the amount of vehicular emission, it is vital to investigate the factors affecting vehicles emission in this city. This could help to find efficient solutions to improve the situation. Hence, a low-cost methodology to estimate the vehicular emissions is developed. In this... 

    Efficient Multimedia Transmission over Wireless Sensor Networks

    , M.Sc. Thesis Sharif University of Technology Shahbazi, Moloud (Author) ; Movaghar Rahimabadi, Ali (Supervisor)
    Abstract
    One of the basic characteristics of Wireless Sensor Networks is their resource limitations. As a result, it is essential to try to decrease costs in such networks. These limitations are more critical in transmitting multimedia data with larger data units. In addition, when transmitting real-time multimedia data, delay is an important factor to consider. According to these limitations, Wireless Multimedia Sensor Networks are congestion prone. In this thesis, a transport layer protocol has been proposed. This protocol consists of three three steps in handling congestion. First, it detects congestion according to the queue length in the node. If the lsength is greater than a minimum threshold,... 

    Fault Tolerant AC/DC/AC Converters for Wind Energy Turbine with Doubly-Fed Induction Generator

    , Ph.D. Dissertation Sharif University of Technology Shahbazi, Mahmoud (Author) ; Zolghadri, Mohammad Reza (Supervisor) ; Saadate, Shahrokh (Supervisor)
    Abstract
    AC/DC/AC converters are widely being used in a variety of power applications. Continuity of service of these systems, as well as their reliability and performance are now of the major concerns. Indeed, the failure of the converter can lead to the total or partial loss of the control of the phase currents and can cause serious system malfunction or even shutdown. Thus, uncompensated faults can quickly endanger the system. Therefore, to prevent the spread of the fault to the other system components and to ensure continuity of service, fault tolerant converter topologies associated with quick and effective fault detection and compensation methods must be implemented. In this thesis, the... 

    HDR Image Reconstruction from a Single-Exposure LDR Image

    , M.Sc. Thesis Sharif University of Technology Shahbazi, Mohammad (Author) ; Amini, Arash (Supervisor) ; Mohammadzadeh, Nargesolhoda (Co-Supervisor)
    Abstract
    High dynamic range (HDR) images provide more realistic experience in displaying real-world scenes than conventional low dynamic range (LDR) images by providing much more detailed luminance information; However, most imaging content is still available in low dynamic range. Inverse tonemapping is known as the problem of inferring an HDR image from a single-exposure LDR image in which the lost data caused by saturation of bright parts and quantization must be reconstructed.To address this problem, in this thesis, two fully-automatic architectures based on convolutional neural networks, are proposed. Both these architectures utilize a number of convolutional auto-encoders as... 

    Condition Monitoring of CNG Electrocompressors

    , M.Sc. Thesis Sharif University of Technology Shahbazi, Saeed (Author) ; Behzad, Mahdi (Supervisor)
    Abstract
    In order to increase the service life and prevent the breakdown of apparatuses, instalations and equipments, we are in a position to maintain them. In this regard, there are three methods for maintenance of machineries, which are called reaction maintenance, preventive maintenance and predictive maintenance. By carrying out a predictive method or monitoring the situation, it is possible to know the health of the machine and take the necessary measures before the damages occurs. Vibration analysis, temperature analysis, oil analysis and flow analysis can be used for monitoring the situation. Reciprocating compressors are one of the most costly repair equipment that needs to be monitored... 

    Assessing and Comparing Risk indices in BOT and DBB Delivery Methods in Freeway and Highway Construction Projects

    , M.Sc. Thesis Sharif University of Technology Shahbazi, Reza (Author) ; Khaloo, Alireza (Supervisor)
    Abstract
    The present survey study aims at investigating and comparing risk indices in highway and freeway projects implemented through Build-Operate-Transfer (BOT) and Design-Bid-Build (DBB) delivery methods. In this regard, two distinct questionnaires were developed (one for BOT and one for DBB delivery method) and interviews were conducted, too. The questionnaires were, then, sent to the target population, i.e. all the experts and agents involved in highway and freeway construction projects implemented through either BOT or DBB method. The collected data were then submitted to Statistical Package for Social Sciences (SPSS), version 22.00, to be analyzed. The results showed that risks had generally... 

    Investigation the Effects of Inversion on Tehran Air Quality Using Meteorological and Photochemical Models during Normal and High Concentrations Episodes

    , M.Sc. Thesis Sharif University of Technology Shahbazi, Hossein (Author) ; Hosseini, Vahid (Supervisor) ; Rashidi, Yousef (Co-Advisor)
    Abstract
    In this study, The Comprehensive Air Quality Model with extensions (CAMx model, v5.41), was used to model gas phase pollutants over Tehran modeling domain during two episodes of July 7th to July 13th and November 30th to December 6th, 2012. In the second episode due to very high concentration of pollutants caused by a combination of meteorological conditions and occurrence of an inversion, a forced holiday was imposed on the city-wide operations to protect the health of citizens. It was found that WRF/CAMx modeling system is a useful tool for the analysis of urban environmental problems and predicting critical conditions. The WRF simulation results for 2-m height temperature, 10-m height... 

    Adjoint Inverse Modeling of PM2.5 Emissions in Order to Improve Performance of Air Quality Models

    , Ph.D. Dissertation Sharif University of Technology Shahbazi, Hossein (Author) ; Hosseini, Vahid (Supervisor) ; Mozafari, Ali Asghar (Supervisor)
    Abstract
    In atmospheric studies, chemical transport models are formulated to simulate the spatial and temporal distribution of pollutant concentrations. However, the performance of these models is strongly dependent on the input parameters such as emissions. Inverse modeling is a widely used mathematical approach for estimating model parameters by minimizing the discrepancy between model output and observations. For air quality studies, inverse modeling is often used for emission inversion as emissions are associated with significant amount of uncertainties.This research aims to estimate optimal values for anthropogenic PM2.5 emission through a four-dimensional variational (4D-Var) inverse modeling... 

    Fabrication and Electrical Properties Evaluation of PA/CNT Conductive Nanocomposite with Low Percolation Threshold

    , M.Sc. Thesis Sharif University of Technology Shahbazi, Hessam (Author) ; Bagheri, Reza (Supervisor)
    Abstract
    Polyamide-6 is a thermoplastic polymer that is classified as electrically non-conductive materials. One way of adding conductivity to the polymer matrices is by utilizing them in a nanocomposite form. Superior mechanical and electrical properties of Carbon Nanotubes make them worthy of being chosen as reinforcement in nanocomposites to extend their operation to a broader range of applications, like conductive nanocomposites, mainly polymer-based matrices. The Nanotubes have chemical affinity and tend to entangle and aggregate. Because of this, to achieve a uniform and remarkable electrical conductivity is hard-to-reach. state of entanglement effects correctly melt methods of polymer blend... 

    Effect of Carrier Gas Pressure on the Size of Cu Nanoparticles Prepared by ELM Method

    , M.Sc. Thesis Sharif University of Technology Shahbazi, Bahador (Author) ; Halali, Mohammad (Supervisor)
    Abstract
    In this report the important factors affecting the levitation melting of copper are discussed. Pure copper nanoparticles were synthesized by utilizing an Electromagnetic Levitation Melting Gas Condensation (ELM-GC) method. Pure bulk copper samples were melted and evaporated by electromagnetic levitation technique in an inert gas atmosphere in a silica tube. Copper nanoparticles were formed from ascending vapor by employing high purity argon and helium as carrier gases and cooling agents. The pressure of inert gas was changed in both helium and argon atmospheres to investigate on pressure’s effect. Particle size and morphology of the produced nanoparticles were studied by Field Emission... 

    Design Hybrid Renewable Energy Systems by A Multi-objective Robust Optimization Model

    , M.Sc. Thesis Sharif University of Technology Shahbazi, Amir Hossein (Author) ; Eshghi, Kourosh (Supervisor)
    Abstract
    Nowadays the popularity of renewable energy is increasing due to its clean and inexhaustible nature. Also, if the local potential of each area is used, there is no cost to connect to electricity network. But these energies have low reliability due to their oscillating nature. To solve this problem, it is proposed to use systems based on several sources of energy called hybrid systems. In this research, a mathematical model is proposed to design a renewable hybrid system that minimizes the present value of costs while maximizing system’s reliability. To consider the uncertainty in the solar radiation data and energy demand, Bertsimas’s robust model is applied to our model. In which variables... 

    Simultaneous Hypothesis Testing and False Discovery Rate

    , M.Sc. Thesis Sharif University of Technology Shahbazi, Mohammad (Author) ; Alishahi, Kasra (Supervisor)
    Abstract
    The purpose of this thesis is to introduce and review a recent methods in simultaneous hypothesis testing. False discovery rates, Benjamini and Hochberg’s FDR Control Algorithm, is the great success story of the new methodology. Much of what follows is an attempt to explain that success in empirical Bayes terms.The later chapters are at pains to show the limitations of current largescale statistical practice: Which cases should be combined in a single analysis? How do we account for notions of relevance between cases? What is the correct null hypothesis? How do we handle correlations? Some helpful theory is provided in answer, but much of the argumentation is by example, with graphs and... 

    Developing a New Method to Estimate Taxing Electricity Sector Carbon Emissions based on Social Cost of Carbon Emissions

    , M.Sc. Thesis Sharif University of Technology Shahbazi Seifabad, Ashkan (Author) ; Avami, Akram (Supervisor) ; Moeini Aghtaei, Moein (Co-Supervisor)
    Abstract
    Controlling, managing, and mitigating the emission of greenhouse gases, especially carbon dioxide, which are produced by human activities, are one of the main concerns of researchers today. Market-based methods are one the successful methods to enhance controlling, managing, and mitigating carbon dioxide emissions, among which the carbon tax has received more attention. Increasing clean technologies in the electricity network to the reduce the emissions of the electricity industry may reduce the carbon tax rate. In this regard, the life cycle analysis makes it possible to consider the emissions of the life cycle. The present model is applied for two representative days of Iran's electricity... 

    Fully Digital Implementation and Optimization of Openhole Oil Well Surface Modem

    , M.Sc. Thesis Sharif University of Technology Shahbazi Dastgerdeh, Mehdi (Author) ; Movahedian, Hamid (Supervisor) ; Gholampour, Iman (Co-Supervisor)
    Abstract
    Once a well has been drilled before it is cased with the steels (open-hole well), some logging must be done to record information’s about layers, geologic formations, geophysical and petrophysical properties of well. All the information’s that gathered from sensors and tools transmitted to the surface by a down-hole modem. This information is corrupted during the transmission by the communication channel. The most notable influence of this channel is noise, attenuation and interference between successive data bits. On the other hand, the characteristic of channel changes with the length of the cable, temperature, connections and so on. So using a set of fixed filters is not effective. The... 

    Improved optimal control technique for control of parallel three- phase inverters

    , Article 2009 International Conference on Electric Power and Energy Conversion Systems, EPECS 2009, Sharjah, 10 November 2009 through 12 November 2009 ; 2009 ; 9789948427155 (ISBN) pouya, H. R. N ; Mokhtari, H ; Sharif University of Technology
    2009
    Abstract
    This paper proposes a high performance voltage tracking and current sharing among parallel connected inverters by applying optimal control and minimizing the cost function. The control system forces the voltage of load to track the voltage reference, and the current of all inverters becomes equal. Therefore, both current sharing and voltage tracking are obtained. In addition, the smallest input energy and simplicity in control circuit are the other advantages of the suggested method. To show the performance of the proposed control scheme, the simulations with two-modular practical systems are performed and the results are provided. The results indicate that the control objectives are... 

    Microstructure, fractography, and mechanical properties of hardox 500 steel tig-welded joints by using different filler weld wires

    , Article Materials ; Volume 15, Issue 22 , 2022 ; 19961944 (ISSN) Zuo, Z ; Haowei, M ; Yarigarravesh, M ; Assari, A. H ; Tayyebi, M ; Tayebi, M ; Hamawandi, B ; Sharif University of Technology
    MDPI  2022
    Abstract
    This paper deals with the effects of three low-carbon steel filler metals consisting of ferritic and austenitic phases on the weld joints of the tungsten inert gas (TIG) welding of Hardox 500 steel. The correlation between the microstructure and mechanical properties of the weld joints was investigated. For this purpose, macro and microstructure were examined, and then microhardness, tensile, impact, and fracture toughness tests were carried out to analyze the mechanical properties of joints. The results of optical microscopy (OM) images showed that the weld zones (WZ) of all three welds were composed of different ferritic morphologies, including allotriomorphic ferrite, Widmanstätten... 

    Design of two steering mechanisms for exact satisfaction of Ackermann equation

    , Article Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering ; 2022 ; 09544070 (ISSN) Zouelm, A ; Nasiri, S ; Zohoor, H ; Sharif University of Technology
    SAGE Publications Ltd  2022
    Abstract
    The common steering mechanisms approximately establish the Ackermann equation. The more the mechanism design parameters, the higher the accuracy can be achieved by using optimization. Also, some mechanisms have been developed to establish the Ackermann equation accurately. Most of these mechanisms contain non-circular gear or cam that have an infinite number of design parameters. In this paper, two novel mechanisms have been designed with a limited number of design parameters, but their geometric structure is such that the governing relationship is exactly the Ackermann equation. The proof of this claim has been given in detail and validated by GeoGebra software. Also, by using force... 

    A new approach to optimization of cogeneration systems using genetic algorithm

    , Article 2006 ASME 51st Turbo Expo, Barcelona, 6 May 2006 through 11 May 2006 ; Volume 4 , 2006 , Pages 837-845 ; 0791842398 (ISBN); 9780791842393 (ISBN) Zomorodian, R ; Khaledi, H ; Ghofrani, M. B ; Sharif University of Technology
    2006
    Abstract
    Application of Cogeneration systems based gas turbine for heat and power production is increasing. Because of finite natural energy resources and increasing energy demand the cost effective design of energy systems is essential. CGAM problem as a cogeneration system is considered here for analyzing. Two new approaches are considered, first in thermodynamic model of gas turbine and cogeneration system considering blade cooling of gas turbine and second using genetic algorithm for optimization. The problem has been optimized from thermodynamic and Thermoeconomic view point. Results show that Turbine Inlet Temperature (TIT) in thermodynamic optimum condition is higher than thermoeconomic one,... 

    Static and dynamic neural networks for simulation and optimization of cogeneration systems

    , Article 2006 ASME 51st Turbo Expo, Barcelona, 6 May 2006 through 11 May 2006 ; Volume 4 , 2006 , Pages 615-623 ; 0791842398 (ISBN); 9780791842393 (ISBN) Zomorodian, R ; Khaledi, H ; Ghofrani, M. B ; The International Gas Turbine Institute ; Sharif University of Technology
    2006
    Abstract
    In this paper, the application of neural networks for simulation and optimization of the cogeneration systems has been presented. CGAM problem, a benchmark in cogeneration systems, is chosen as a case study. Thermodynamic model includes precise modeling of the whole plant. For simulation of the steady sate behavior, the static neural network is applied. Then using dynamic neural network, plant is optimized thermodynamically. Multi layer feed forward neural networks is chosen as static net and recurrent neural networks as dynamic net. The steady state behavior of CGAM problem is simulated by MFNN. Subsequently, it is optimized by dynamic net. Results of static net have excellence agreement...