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    2-D Design and Optimization of Axial Flow Compressor Blade with 2-Objective Method

    , M.Sc. Thesis Sharif University of Technology Naseripour Yazdi, Ali (Author) ; Hajilouy Benisi, Ali (Supervisor)
    Abstract
    Axial compressors are utilized to increase compressible flow pressure in an efficient manner where mass flow rate is high, such as aviation engines and power generation gas turbines. The flow is compressed within this machine through several stages. Each stage consists of a rotor blade row followed by a stator blade row. Energy transfer to the air is performed on the rotor by changing its velocity vector. Then, pressure is recovered from velocity by diffusion, meanwhile turning the flow direction through stator blades. These blades have been designed and optimized with various methods evolved with developing computational and manufacturing facilities. In this thesis the aerodynamic design of... 

    Numerical Investigation of Instabilities of Flow in Micro-fluid

    , M.Sc. Thesis Sharif University of Technology Yazdi, Hossein (Author) ; Moosavi, Ali (Supervisor)
    Abstract
    This research concerns investigating the behavior of two-phase flow in the inlet and outlet of the microchannels.Both the droplet based and the continuous microfluidics are considered. For the continuous system whenthe minor fluid enters the microchannel, due to ratio of viscosity of two fluids, viscous folding occurs.Viscous folding phenomena is similar to the buckling phenomena in solids.This means that the viscosity of the fluid, which is applied to two sides of the fluid layer, causes folding the fluid layer and changing the shape of it. For the study we employ a VOF based numerical routine. In order to verify numerical results, the grid and the time step independenciesare checked. In... 

    Performance Evaluation of Large-Scale Delay Tolerant Networks

    , M.Sc. Thesis Sharif University of Technology Dalili Yazdi, Amir (Author) ; Movaghar, Ali (Supervisor)
    Abstract
    This researⅽh investigates the perforⅿanⅽe of epiⅾeⅿiⅽ routing، in ⅿobiⅼe soⅽiaⅼ net−works (ⅯSNs)، whiⅽh ⅿakes use of the store−ⅽarry−forwarⅾ paraⅾigⅿ for ⅽoⅿⅿuni−ⅽation. Reaⅼ−ⅼife ⅿobiⅼity traⅽes show that peopⅼe have skeweⅾ ⅼoⅽation visiting pref−erenⅽes، with soⅿe pⅼaⅽes visiteⅾfrequentⅼy anⅾ soⅿe others infrequentⅼy. In orⅾer to ⅿoⅾeⅼ epiⅾeⅿiⅽ routing in ⅯSNs، we first anaⅼyze the tiⅿe taken for a noⅾe to ⅿeet the first noⅾe beⅼonging to a set of noⅾes restriⅽteⅾ to ⅿove in a speⅽifiⅽ subarea. Af−terwarⅾs، two networks are ⅽonsiⅾereⅾ. For eaⅽh network، a ⅿonoⅼithiⅽ stoⅽhastiⅽ re−warⅾ net (SRN) is proposeⅾ to evaⅼuate the ⅾeⅼivery ⅾeⅼay anⅾ the average nuⅿber of transⅿissions unⅾer... 

    The Effect of Banks Entering the Stock Market on Lending Behavior: Evidence from Iranian Stock Market

    , M.Sc. Thesis Sharif University of Technology Hazeri Yazdi, Farzaneh (Author) ; Ebrahimnejad, Ali (Supervisor)
    Abstract
    This paper examines the effect of the initial public offering (IPO) of banks in the Tehran Stock Exchange on their lending practices to firms. To this end, panel data from the financial statements of 93 listed firms, along with a database of loan balances of listed companies in the Tehran Stock Exchange, categorized by their respective banks, between 1386 and 1397, were utilized. The main question of this paper is whether the IPO of banks in the stock market affects their decision-making in granting loans and applying essential filters in selecting firms. To answer this question, the ordered logit method was employed. The results of the research show that publicly listed banks are more... 

    Defining and Investigating the Dominant Leadership Style in the Iranian Successful Organizations According to the Managerial Grid Model

    , M.Sc. Thesis Sharif University of Technology Sarraf Yazdi, Delaram (Author) ; Sharifian, Mohammad Ali (Supervisor)
    Abstract
    This research program is built up from understanding the dominant leadership style in the Iranian prosperous and propounded organizations according to Robert Blake and Jane Mouton Seventh Dominant Patterns of Behavior. According to the main purpose of this research, which includes defining the dominant leadership style and consequently studying its effects on organizational performance, apprehending how staff are led in successful organizations provides immediate insights into how the employed style can bring the organization forward and make it closer to its final objectives. Moreover, the research provides an opportunity for managers to critically assess, evaluate, and analyze their own... 

    Preparation of Nanoparticles Based on Hyperbranched Polyglycerol as Anti Cancer Drug Delivery Systems

    , M.Sc. Thesis Sharif University of Technology Yazdi, Mojtaba (Author) ; Pourjavadi, Ali (Supervisor) ; Adeli, Mohsen (Co-Advisor)
    Abstract
    Successful formulation development for poor water soluble drugs is a critical, long-standing and challengeable problem in cancer treatment. One of the methods for transporting low-soluble drugs is using nanoparticles which are able to pass through capillary walls of tumor tissues due to their small size. An example of the nanoparticles is micelle systems. Functionalized β-cyclodextrin (β-CD) by hyper branched polyglycerol (HPG) can dissolve low-soluble compounds. This polymer can be used in preparing micelles. In this project, β-cyclodextrin (β-CD) by anionic reactions is initiator for polymerization of glycidol monomer. Hydrophobic cavity of the β-cyclodextrin (β-CD) in placing the phenyl... 

    Optimization of Electrostatic Fog Collectors

    , M.Sc. Thesis Sharif University of Technology Abdoli Yazdi, Milad (Author) ; Moosavi, Ali (Supervisor) ; Kazemzadeh Hannani, Siamak (Supervisor)
    Abstract
    In electrostatic water collection devices, by applying a high voltage to the discharge electrodes, air become ionized and charged water droplets are directed towards the collection electrodes in the presence of an electric field. This method, with lower energy consumption compared to condensation-based methods, is a promising approach to address water scarcity and some of the energy and environmental challenges associated with it. In this study, the water collection process in these devices was simulated using COMSOL Multiphysics software. After solving the equations related to humid air flow, plasma physics, and the charging of droplets, the electrostatic field resulting from the applied... 

    Ionic Size and Rheology Effects on the Mixing Process of Electroosmotic Flows

    , M.Sc. Thesis Sharif University of Technology Ahmadian Yazdi, Alireza (Author) ; Saeedi, Mohammad Hassan (Supervisor) ; Mozaffari, Ali Asghar (Supervisor)
    Abstract
    In recent years, there have been huge advancements in fabrication of micron-sized devices such that they enabled engineers to create a wide range of miniaturized systems, each of which is utilized in mechanical, electrical, and thermal applications. Micromixers are one of these devices with the role of mixing various micro flows. These devices are broadly used for chemical, biological, and biomedical assays. Among variety of micromixers, one that employs electrokinetic transport phenomenon is of great popularity. For instance, mixing under electroosmotic flow enables accurate process control and eliminates the need for moving components inside micromixer. The very complex nature of electric... 

    An Investigation on The Effect of Intermediate Deformation Between The Retrogression and Re Aging Process of 7xxx Series of Aluminum Alloys on The Mechanical Properties and Formability of These Alloys

    , M.Sc. Thesis Sharif University of Technology Ahmadpour Yazdi, Mohammad Reza (Author) ; Karimi Taheri, Ali (Supervisor) ; Kazeminejad, Mohsen (Supervisor)
    Abstract
    In this research it has been attempted to suggest a modified retrogression and re- aging heat treatment on the sheet of AA7075 alloy with a thickness of 2 mm. The main aim of the research is to reduce the required duration of RRA process while maintaining the value of the conventional tensile strength achieving by the RRA process. This was performed by adding an intermediate warm rolling deformation during the RRA process. The rolling temperature was 180 °C and the rolling reductions were 30%, 40%, 50%. Moreover, the temperature of 170°C was selected as the re-aging temperature, for which the aging time of 0.5, 1, 1.5, 2, and 2.5 hours were examined. This temperature and times were chosen to... 

    Decentralized control of reconfigurable robots using joint-torque sensing

    , Article International Conference on Robotics and Mechatronics, ICROM 2015, 7 October 2015 through 9 October 2015 ; 2015 , Pages 581-585 ; 9781467372343 (ISBN) Yazdi Almodaresi, S. M ; Sharif University of Technology
    2015
    Abstract
    In this paper, a decentralized controller for trajectory tracking of modular and reconfigurable robot manipulators is developed. The proposed control scheme uses joint-torque sensory feedback; also sliding mode control is employed to make both position and velocity tracking errors of robot manipulators globally converging to zero. Proposed scheme also guarantees that all signals in closed-loop systems will be bounded. In contrast to some of prior works in this scheme, each controller uses a smooth law to achieve its purposes. In this method, each controller uses only local information for producing control law hence separated controller can be used to control each module of manipulator and... 

    Two new swinging interferometers

    , Article Journal of Optics A: Pure and Applied Optics ; Volume 9, Issue 7 , 2007 , Pages 560-564 ; 14644258 (ISSN) Yazdi, S ; Rashidian, B ; Sharif University of Technology
    2007
    Abstract
    The most important disadvantage of swinging interferometers is that the optical path difference created in them is a nonlinear function of the rotation angle. In this paper, two new swinging interferometers are presented which have good linearity and provide a larger path difference in response to the rotation angle compared to other interferometers. This makes them suitable for applications such as high-resolution spectroscopy, and precision micro and nanopositioning. In one of these two interferometers, the optical path difference is created by rotation of a system composed of four mirrors, and in the other one it is created by rotation of a system consisting of two mirrors. They are not... 

    Comparison of Classic Regression Model and Geographically Weighted Regression Model in Trip Generation Models,Case Study in Shiraz

    , M.Sc. Thesis Sharif University of Technology Yazdi, Payam (Author) ; Kermanshah, Mohammad (Supervisor)
    Abstract
    Trip demand analysis is among the most important parts in comprehensive transportation studies. Developing four stage models including trip generation, trip distribution, mode choice, and assignment are so common in demand analyzing. In this study, trip generation models have been studied and to analyze data, two different methods including OLR and GWR are utilized. This study aims to examine relationship between aggregate zones in order to forecast future trips. Moreover, results of modeling trip generation with two different methods, OLR and GWR, are compared. Comparing different levels of aggregation reveals that as the number of zones decreases, the results get better. Decreasing number... 

    Improvement of palm oil and sunflower oil blends by enzymatic interestrification

    , Article International Journal of Food Science and Technology ; Volume 46, Issue 5 , 2011 , Pages 1093-1099 ; 09505423 (ISSN) Yazdi, Z. K ; Alemzadeh, I ; Sharif University of Technology
    2011
    Abstract
    Palm oil (PO) and sunflower oil (SFO) blends with varying proportions were subjected to enzymatic interesterification (EIE) using a 1,3-specific immobilised lipase. The interesterified blends were evaluated for their slip melting point (SMP), solid fat content (SFC) at 10-40°C, p-anisidine value, peroxide value, free fatty acids (FFA), induction period of oxidation at 110°C (IP110) and composition of fatty acids by gas chromatography. Under EIE treatment, the blends of PO and SFO in different proportions (20:80, 40:60, 50:50, 60:40 and 80:20) had saturated and unsaturated fatty acid content in the range of 37.6-52.0% and 48.0-62.4%, respectively. The blends showed a considerable reduction in... 

    Lipase catalyzed incorporation of conjugated linoleic acid by transesterification into sunflower oil applying immobilized lipase (Lipozyme TL IM and RM IM)

    , Article International Journal of Engineering, Transactions A: Basics ; Volume 29, Issue 4 , 2016 , Pages 436-443 ; 17281431 (ISSN) Kouchak Yazdi, Z ; Alemzadeh, I ; Sharif University of Technology
    2016
    Abstract
    Conjugated Linoleic Acid (CLA), Glycerol (G) and sunflower oil blends with varying concentration were subjected to enzymatic esterification using a 1, 3-specific immobilized lipase. CLA was used as acyl due to its purported health benefits. The transesterified lipids were evaluated for free fatty acids (FFA) and composition of fatty acids by gas chromatography. Lipozyme RM IM is preferred for enzymatic esterification because of more CLA incorporation and less free fatty acids at the end of reaction than Lipozyme TL IM. Response surface methodology (RSM) was used to determine the effects of three variables Glycerol concentration, reaction temperature, and amount of enzyme on the lipase... 

    Prognostic of rolling element bearings based on early-stage developing faults

    , Article International Journal of COMADEM ; Volume 23, Issue 1 , February , 2020 , Pages 55-60 Hosseini Yazdi, M ; Behzad, M ; Ghodrati, B ; Khodaygan, S
    COMADEM International  2020
    Abstract
    Rolling-element bearing (REB) failure is one of the general damages in rotating machinery. In this manner, the correct prediction of remaining useful life (RUL) of REB is a crucial challenge to move forward the unwavering quality of the machines. One of the main difficulties in implementing data-driven methods for RUL prediction is to choose proper features that represent real damage progression. In this article, by using the outcomes of frequency analysis through the Envelope method, the initiated/existed defects on the ball bearings are identified. Also, new features based on developing faults of ball bearings is recommended to estimate RUL. Early-stage faults in ball bearings usually... 

    Stabilization of biped walking robot using the energy shaping method

    , Article Journal of Computational and Nonlinear Dynamics ; Volume 3, Issue 4 , 2008 ; 15551423 (ISSN) Azadi Yazdi, E ; Alasty, A ; Sharif University of Technology
    2008
    Abstract
    The biped walking robot demonstrates a stable limit cycle on shallow slopes. In previous researches, this passive gait was shown to be sensitive to ground slope and initial conditions. In this paper, we discuss the feedback stabilization of a biped robot by the "energy shaping" technique. Two designs are proposed to reduce the sensitivity of the biped walking robot to slope and initial conditions. In the first design, a moving mass actuator is located on each link of the robot. The actuators are used to shape the potential energy of the biped robot so that it tracks the potential energy of a known passive gait of a similar biped robot on a different slope. Although the method is applied to a... 

    Mapping the spatiotemporal variability of salinity in the hypersaline Lake Urmia using Sentinel-2 and Landsat-8 imagery

    , Article Journal of Hydrology ; Volume 595 , 2021 ; 00221694 (ISSN) Bayati, M ; Danesh Yazdi, M ; Sharif University of Technology
    Elsevier B.V  2021
    Abstract
    The spatiotemporal dynamic of salinity concentration (SC) in saline lakes is strongly dependent on the rate of water flow into the lake, water circulation, wind speed, evaporation rate, and the phenomenon of salt precipitation and dissolution. Although in-situ observations most reliably quantify water quality metrics, the spatiotemporal distribution of such data are typically limited and cannot be readily extrapolated for either long-term projections or extensive areas. Alternatively, remotely sensed imagery has facilitated less expensive and a stronger ability to estimate water quality over a wide range of spatiotemporal resolutions. This study introduces an adaptive learning model that... 

    Quantifying the uncertainty of lake-groundwater interaction using the forward uncertainty propagation framework: The case of Lake Urmia

    , Article Journal of Hydrology ; Volume 610 , 2022 ; 00221694 (ISSN) Chavoshi, A ; Danesh Yazdi, M ; Sharif University of Technology
    Elsevier B.V  2022
    Abstract
    The interaction between a lake and groundwater has important implications to the quantity and quality of water in both environments. Quantification of lake-groundwater interaction (LGI) has been challenging in regions with limited in-situ data. LGI can be quantified by physically-based models, direct measurement of seepage, measurements of conservative chemical or isotopic tracers, and lake water balance. Despite the accuracy of the methods based on hydrochemical or isotopic measurements and analysis, they require extensive field data that are costly to collect in large lakes. Instead, the data required to quantify LGI by the lake water budget method can be obtained via typical ground... 

    Quantifying the impacts of agricultural alteration and climate change on the water cycle dynamics in a headwater catchment of Lake Urmia Basin

    , Article Agricultural Water Management ; Volume 270 , 2022 ; 03783774 (ISSN) Rahmani, J ; Danesh Yazdi, M ; Sharif University of Technology
    Elsevier B.V  2022
    Abstract
    The rapid shrinkage of Lake Urmia over the past two decades has raised serious environmental concerns. Several restoration plans have been proposed to reduce agricultural water consumption to supply a remarkable fraction of the lake's environmental flow requirement. However, an accurate and realistic evaluation of the effectiveness of these plans in reducing agricultural water consumption across the basin is still poorly understood. This study assessed the water-saving potential of agricultural alteration in a snow-dominated catchment in the Lake Urmia Basin. In particular, we explored the impact of crop pattern alteration via reducing the cultivation area and employing different irrigation... 

    Variable-complexity machine learning models for large-scale oil spill detection: the case of persian gulf

    , Article Marine Pollution Bulletin ; Volume 195 , 2023 ; 0025326X (ISSN) Najafizadegan, S ; Danesh Yazdi, M ; Sharif University of Technology
    Elsevier Ltd  2023
    Abstract
    Oil spill is the main cause of marine pollution in the waterbodies with rich oil resources. In this study, we developed and compared the performance of variable-complexity machine-learning models to detect oil spill origin, extent, and movement over large scales. To this end, we trained Support Vector Machine (SVM), Random Forest (RF), and Convolutional Neural Network (CNN) models by using the statistical, geometrical, and textural features of Sentinel-1 SAR data. Our results in the Persian Gulf showed that CNN is superior to RF and SVM classifiers in oil spill detection, as evidenced by the testing accuracy of 95.8 %, 86.0 %, and 78.9 %, respectively. The results suggested utilizing both...