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    An experimental investigation into the melting of phase change material using Fe3O4 magnetic nanoparticles under magnetic field

    , Article Journal of Thermal Analysis and Calorimetry ; Volume 146, Issue 1 , 2021 , Pages 381-392 ; 13886150 (ISSN) Safaee Sadegh, S ; Aghababaei, A ; Mohammadi, O ; Jafari Mosleh, H ; Shafii, M. B ; Ahmadi, M. H ; Sharif University of Technology
    Springer Science and Business Media B.V  2021
    Abstract
    The low thermal conductivity of phase change materials has resulted in prolonged melting and freezing processes (charge and discharge) in these materials. This problem has limited the application of these materials in the field of thermal energy storage. In the present study, the effects of adding Fe3O4 magnetic nanoparticles at various concentrations as well as applying the magnetic field on the melting process of paraffin as phase change material have been experimentally studied. Thereupon, a cubic chamber in which the left wall applied a constant heat flux was used. At the optimum concentration of nanoparticles (1 mass%), the constant magnetic field with the intensities of 0.01 T and... 

    Design and Modeling of the Cement Setting Time

    , M.Sc. Thesis Sharif University of Technology Safaee, Reza (Author) ; Shad, Saeed (Supervisor)
    Abstract
    Cementing plays a crucial role in ensuring the long-term integrity of oil and gas wells, geothermal wells, and geologic sequestration (GS). The productivity of the well is directly impacted by the quality of cementing operations throughout its lifecycle, spanning drilling, production, and abandonment phases. This thesis focuses on modeling cement setting under varying pressure and temperature conditions within wells. It aims to accurately estimate the thickening time of cement slurry, and analyze the influence of thermodynamic factors like pressure, temperature, and heat generated by hydration reactions on the cement setting process through laboratory investigations. The study also delves... 

    Preparation of Mg-doped TiO2 Nanoparticles for Dye-sensitized Solar Cell Applications

    , M.Sc. Thesis Sharif University of Technology Safaee, Mahtab (Author) ; Mohammadi, Mohammad Reza (Supervisor)
    Abstract
    Dye-sensitized solar cell (DSSCS) is the third-generation of solar cells based on semiconductors formed between a photo sensitized anode and counter cathode which make a photo electrochemical system. They haven’t been commercially marketed due to their lower efficiency than the previous generations. In order to achieve the higher efficiency, the electron injection and light absorption must be increased. One way to increase electron injection is doping the semiconductor with an external ion to reduce lattice band gap. In this work, we made powder and Nano-structured film of titanium dioxide doped with various molar ratios of Mg by the sol-gel process. The effect of Mg:Ti molar ratio on... 

    Effecive & efficient DSM configuration guidelines for low-cost development of complex systems

    , Article Gain Competitive Advantage by Managing Complexity - Proceedings of the 14th International Dependency and Structure Modelling Conference, DSM 2012, 13 September 2012 through 14 September 2012 ; 2012 , Pages 125-137 ; 9783446433540 (ISBN) Sadegh, M. B ; Sharif University of Technology
    Institution of Engineering Designers  2012
    Abstract
    With the proliferation of more complex systems has come the need to find better solutions in both technical and management domains. Such complex systems are usually larger in size, have more parallel operations and contain more complex interfaces (Eisner, 2005). The Design Structure Matrix is a very useful tool in handling such complexities, provided that the system designer can use it properly. This paper addresses how effectiveness & efficiency are defined for a DSM and how these two important characteristics can be achieved. The importance of understanding the solution space in constructing an effective & efficient DSM is discussed and general guidelines are given on configuring the DSM... 

    Two-step sintering of ZnO varistors

    , Article Solid State Ionics ; Volume 190, Issue 1 , 2011 , Pages 99-105 ; 01672738 (ISSN) Maleki Shahraki, M ; Shojaee, S. A ; Faghihi Sani, M. A ; Nemati, A ; Safaee, I ; Sharif University of Technology
    2011
    Abstract
    In this research, effects of two-step sintering parameters, such as first and second step sintering temperatures (T1 and T2, respectively) and soaking time in the second step, on microstructure and electrical properties of ZnO varistors have been studied. In addition, slow rate of grain growth in the second step of sintering has also been investigated. Near fully dense (higher than 99%) and sub-micron grain size (1-0.75 μm) ZnO varistors have been fabricated by different two-step sintering cycles. Decreasing T1 and T2 result in longer necessary time in the second step to reach near full density with smaller final grain size. The superior electrical properties of varistors (VB: 2050-1022 V/mm... 

    Ultra-high voltage SnO2 based varistors prepared at low temperature by two-step sintering

    , Article Journal of Alloys and Compounds ; Volume 805 , 2019 , Pages 794-801 ; 09258388 (ISSN) Maleki Shahraki, M ; Delshad Chermahini, M ; Alipour, S ; Mahmoudi, P ; Safaee, I ; Abdollahi, M ; Sharif University of Technology
    Elsevier Ltd  2019
    Abstract
    In this research, full density, single phase microstructure (in the XRD and SEM detection limits), and fine-grained SnO2 varistors with an average grain size of 0.65 μm was acquired at low temperature by the two-step sintering technique. The sintering temperature was successfully decreased from 1300 °C in the normal sintering to 1150 °C and 1100 °C of respectively the first and the second stage in the two-step sintering. The mechanism of grain growth suppression of the two-step sintered samples was discussed and it was suggested that in addition to triple point junction, solute drag and/or nano-secondary phases contribute to cease the grain growth. These SnO2 varistors exhibited ultra-high... 

    Modeling Neural Systems with a Group of Dissipative Rotators

    , M.Sc. Thesis Sharif University of Technology Safaee Sirat, Amin (Author) ; Moghimi-Araghi, Saman (Supervisor)
    Abstract
    Neural systems are the threshold ones. It means if the electrical potential passed through a specific amount then they could spike and cause the activity of other cells. The models that really mimic the action of neurons are usually complicated and are not suitable when you put them on a network to study the collective behavior of the neurons. Simple threshold models have been designed for such purposes. One on most studied ones is the ’integrate and fire’ model, in which cells integrate the inputs until the threshold potential and then spike. usually, a network of these objects are simulated and different properties of such network are investigated.However, this model has some shortcomings... 

    Thin Film Thickness Measurement Using Colors of Interference Fringes

    , M.Sc. Thesis Sharif University of Technology Sadegh, Sanaz (Author) ; Amjadi, Ahmad (Supervisor)
    Abstract
    There are several methods for measuring thin film thickness, however, for the analysis of liquid film motors [1] we need a method which is capable of measuring the thickness using a single image of the film. In this work, we use the colors that appear on thin films, such as soup bubbles, which is a result of light interference to calculate the thickness of the layer  

    Measure for Macroscopic Quantumness via Quantum Coherence and Macroscopic Distinction

    , M.Sc. Thesis Sharif University of Technology Naseri, Moein (Author) ; Raeisi, Sadegh (Supervisor)
    Abstract
    One of the most elusive problems in quantum mechanics is the transition between classical and quantum physics. This problem can be traced back to the Schrodinger's cat. A key element that lies at the center of this problem is the lack of a clear understanding and characterization of macroscopic quantum states. Our understanding of Macroscopic Quantumness relies on states such as the Greenberger-Horne-Zeilinger(GHZ) or the NOON state. Here we take a first principle approach to this problem. We start from coherence as the key quantity that captures the notion of quantumness and demand the quantumness to be collective and macroscopic. To this end, we introduce macroscopic coherence which is the... 

    Structural Health Monitoring using Bayesian Optimization of the finite element model of structures and Kalman filter

    , M.Sc. Thesis Sharif University of Technology Sadegh, Alireza (Author) ; Bakhshi, Ali (Supervisor)
    Abstract
    With confidence in the recorded observations, the RLS method no longer estimates the recorded measurements by sensors, i.e. the displacement and speed of the floors, and only estimates the parameters. In contrast, in the EKF method, in addition to estimating the structure's parameters, a more precise estimation of the observations recorded by the sensors has been done by accepting the noise in the recorded observations. These methods, which are based on the Bayesian updating, investigate the two primary sources of uncertainty in a problem: a) measurement noise or observation noise, and b) process noise, which includes modeling errors. In these methodologies, the unknown system parameters,... 

    Finding Semi-Optimal Measurements for Entanglement Detection Using Autoencoder Neural Networks

    , M.Sc. Thesis Sharif University of Technology Yosefpor, Mohammad (Author) ; Raeisi, Sadegh (Supervisor)
    Abstract
    Entanglement is one of the key resources of quantum information science which makes identification of entangled states essential to a wide range of quantum technologies and phenomena.This problem is however both computationally and experimentally challenging.Here we use autoencoder neural networks to find semi-optimal measurements for detection of entangled states. We show that it is possible to find high-performance entanglement detectors with as few as three measurements. Also, with the complete information of the state, we develop a neural network that can identify all two-qubits entangled states almost perfectly.This result paves the way for automatic development of efficient... 

    Numerical Analysis and Optimization of A Vortex Tube with Differential Evolution Algorithm

    , M.Sc. Thesis Sharif University of Technology Khazaali, Sadegh Khazaali (Author) ; Mazaheri, Karim (Supervisor)
    Abstract
    The vortex tube is a simple device that injects compressed gas (air) tangentially into the vortex chamber through one or more injection nozzles. After entering, the flow becomes rotational and an axial cold flow goes towards the cold outlet and a peripheral hot flow goes towards the hot outlet. Besides all the different applications of the vortex tube, the main application of this device is cooling. Here, the goal is to optimize the geometry and physical conditions to improve the performance, which is done by using a commercial software and numerical analysis of a vortex tube to understand the flow physics and optimization. In this research, we use experimental and numerical data for... 

    Small-scale building load forecast based on hybrid forecast engine

    , Article Neural Processing Letters ; 2017 , Pages 1-23 ; 13704621 (ISSN) Mohammadi, M ; Talebpour, F ; Safaee, E ; Ghadimi, N ; Abedinia, O ; Sharif University of Technology
    2017
    Abstract
    Electricity load forecasting plays an important role for optimal power system operation. Accordingly, short term load forecast (STLF) is also becoming an important task by researchers to tackle the mentioned problem. As a consequence of the highly non-smooth and volatile trend of the load time series specially in building levels, its STLF is even a more complex procedure than that of a power system. For this purpose, in this paper we proposed a new prediction model based on a new feature selection algorithm and hybrid forecast engine of enhanced version of empirical mode decomposition named sliding window EMD bundled with an intelligent algorithm. The proposed forecast engine is combined... 

    Small-Scale building load forecast based on hybrid forecast engine

    , Article Neural Processing Letters ; Volume 48, Issue 1 , 2018 , Pages 329-351 ; 13704621 (ISSN) Mohammadi, M ; Talebpour, F ; Safaee, E ; Ghadimi, N ; Abedinia, O ; Sharif University of Technology
    Springer New York LLC  2018
    Abstract
    Electricity load forecasting plays an important role for optimal power system operation. Accordingly, short term load forecast (STLF) is also becoming an important task by researchers to tackle the mentioned problem. As a consequence of the highly non-smooth and volatile trend of the load time series specially in building levels, its STLF is even a more complex procedure than that of a power system. For this purpose, in this paper we proposed a new prediction model based on a new feature selection algorithm and hybrid forecast engine of enhanced version of empirical mode decomposition named sliding window EMD bundled with an intelligent algorithm. The proposed forecast engine is combined... 

    Natural convection from a confined horizontal cylinder: The optimum distance between the confining walls

    , Article International Journal of Heat and Mass Transfer ; Volume 44, Issue 2 , 2001 , Pages 367-374 ; 00179310 (ISSN) Sadegh Sadeghipour, M ; Razi, Y. P ; Sharif University of Technology
    2001
    Abstract
    The laminar natural convection from an isothermal horizontal cylinder confined between vertical walls, at low Rayleigh numbers, is investigated by theoretical, experimental and numerical methods. The height of the walls is kept constant, however, their distance is changed to study its effect on the rate of the heat transfer. Results are incorporated into a single equation which gives the Nusselt number as a function of the ratio of the wall distance to cylinder diameter, t/D, and the Rayleigh number. There is an optimum distance between the walls for which heat transfer is maximum. © 2000 Elsevier Science Ltd. All rights reserved  

    Content Based Community Extraction in Social Networks from Stream Data

    , M.Sc. Thesis Sharif University of Technology Sadegh, Mohammad Mehdi (Author) ; Abolhassani, Hassan (Supervisor)
    Abstract
    Increasing in social communication via electronic ways has been made social network analysis of these communications more important each day. One of the most important aspects in social network analysis is community detection in such networks. There are many different ways to extract communities from social graph structure which in some of them the content of communication between actors has been noticed in community extraction algorithm. In this thesis after a short survey over advantages and disadvantages of existing methods for community detection, a new method for extracting communities from social networks has been suggested which in addition to streaming property of data it spot the... 

    Quantum Information Processing with NMR Spectroscopy

    , M.Sc. Thesis Sharif University of Technology Salimi Moghadam, Mahkameh (Author) ; Raeisi, Sadegh (Supervisor)
    Abstract
    Quantum Information Processing (QIP) is one of the active areas of research in both theoretical and experimental physics. Any experimental technique that is used for a scalable implementation of QIP must satisfy DiVincenzo’s criteria [17]. Nuclear Magnetic Resonance (NMR) satisfies many of these conditions, but it is not scalable and cannot initialize the qubits to pure state [28]. NMR can be a great platform for studying the fundamentals of QIP. In this project, for a two­qubit system, we prepare pseudo pure states from the initial mixed states by using unitary operations and implement CNOT gates. According to the results of our experiments, we can apply all the gates with high fidelity.... 

    Erratum: Multifractal detrended fluctuation analysis of sunspot time series (Journal of statistical mechanics: Theory and experiment)

    , Article Journal of Statistical Mechanics: Theory and Experiment ; Volume 2011, Issue 9 , 2011 ; 17425468 (ISSN) Sadegh Movahed, M ; Jafari, G. R ; Ghasemi, F ; Rahvar, S ; Reza Rahimi Tabar, M ; Sharif University of Technology
    2011

    A coarse relative-partitioned index theorem

    , Article Bulletin des Sciences Mathematiques ; Volume 153 , 2019 , Pages 57-71 ; 00074497 (ISSN) Karami, M ; Esfahani Zadeh, M ; Sadegh, A ; Sharif University of Technology
    Elsevier Masson SAS  2019
    Abstract
    It seems that the index theory for non-compact spaces has found its ultimate formulation in the realm of coarse spaces and K-theory of related operator algebras. Relative and partitioned index theorems may be mentioned as two important and interesting examples of this program. In this paper we formulate a combination of these two theorems and establish a partitioned-relative index theorem. © 2019 Elsevier Masson SAS  

    Miniaturized salting-out liquid-liquid extraction in a coupled-syringe system combined with HPLC-UV for extraction and determination of sulfanilamide

    , Article Talanta ; Vol. 121 , April , 2014 , pp. 199-204 ; ISSN: 00399140 Sereshti, H ; Khosraviani, M ; Sadegh Amini-Fazl, M ; Sharif University of Technology
    2014
    Abstract
    In salting-out liquid-liquid extraction (SALLE) technique, water-miscible organic solvents are used for extraction of polar analytes from saline solutions. In this study, for the first time, a coupled 1-mL syringes system was utilized to perform a miniaturized SALLE method. Sulfanilamide antibiotic was extracted and determined via the developed method followed by high performance liquid chromatography-ultraviolet detection (HPLC-UV). The extraction process was carried out by rapid shooting of acetonitrile as extraction solvent (syringe B) into saline aqueous sample solution (syringe A), and then the shooting was repeated several times at a rate of 1 cycle s-1. Thereby, an extremely large...