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    Free Vibration and Buckling Analysis of Functionally Graded Beams with an Edge Crack

    , M.Sc. Thesis Sharif University of Technology Sherafatnia, Khalil (Author) ; Farrahi, Gholamhossein (Supervisor)
    Abstract
    Cracks significantly change the vibration response of structures. Cracks which exist in structures as a defect in the material or created by repeated loads, reduce the natural frequencies and change the vibration mode shapes. Therefore with measuring the vibration response of structures, the existence and position of cracks are detected. This research analytically investigates the free vibration and elastic buckling of a beam made of functionally graded materials (FGM) with open edge cracks using Reddy's beam theory and the rotational spring model. It is assumed that the material properties vary along the beam thickness according to a power law distribution in terms of volume fraction of... 

    Application of artificial neural network to predict the effects of severe shot peening on properties of low carbon steel

    , Article Advanced Structured Materials ; Volume 61 , 2016 , Pages 45-60 ; 18698433 (ISSN) Maleki, E ; Farrahi, G. H ; Sherafatnia, K ; Sharif University of Technology
    Springer Verlag  2016
    Abstract
    Mechanical failures in most cases originate from the exterior layers of the components. It is considerably effective to apply methods and treatments capable to improve the mechanical properties on component’s surface. Surface nanocrystallization produced by severe plastic deformation (SPD) processes such as severe shot peening (SSP) is increasingly considered in the recent years. However, artificial intelligence systems such as artificial neural network (ANN) as an efficient approach instead of costly and time consuming experiments is widely employed to predict and optimize the science and engineering problems in the last decade. In the present study the application of ANN in predicting of... 

    Size-dependent energy release rate formulation of notched beams based on a modified couple stress theory

    , Article Engineering Fracture Mechanics ; Vol. 116, Issue.1 , 2014 , pp. 80-91 ; ISSN: 0013-7944 Sherafatnia, K ; Kahrobaiyan, M. H ; Farrahi, G. H ; Sharif University of Technology
    2014
    Abstract
    The modified couple stress theory is employed in this paper in order to formulate the size-dependent strain energy release rate of Euler-Bernoulli and Timoshenko notched beams. As a case study, the normalized energy release rate of the aforementioned beams has been developed for three-point bending as a function of the ratio of material length scale parameter to the beam depth. The results of the current model are compared to the experimental data. The good agreement between the present results and the experimental values indicates that the current model can be successfully applied to evaluate size dependent energy release rate of structures  

    Effect of initial surface treatment on shot peening residual stress field: analytical approach with experimental verification

    , Article International Journal of Mechanical Sciences ; Volume 137 , 2018 , Pages 171-181 ; 00207403 (ISSN) Sherafatnia, K ; Farrahi, G. H ; Mahmoudi, A. H ; Sharif University of Technology
    Elsevier Ltd  2018
    Abstract
    Shot peening is the most common surface treatment employed to enhance the fatigue performance of structural metallic materials and often carried out after other surface treatments. This paper mainly focuses on the effects of initial conditions of surface such as initial stress filed and hardness profile on shot peening residual stress field. The residual stress distribution induced by shot peening is obtained using Hertzian contact theory and elastic–plastic evaluation after yielding occurred during impingement and rebound of shots. Elastic plastic calculations are performed using different hardening models considering Bauschinger effect. The present model is able to predict redistribution... 

    Experimental measurement and analytical determination of shot peening residual stresses considering friction and real unloading behavior

    , Article Materials Science and Engineering A ; Volume 657 , 2016 , Pages 309-321 ; 09215093 (ISSN) Sherafatnia, K ; Farrahi, G. H ; Mahmoudi, A. H ; Ghasemi, A ; Sharif University of Technology
    Elsevier Ltd  2016
    Abstract
    This paper presents an analytical model to predict the residual stress distribution induced by Shot peening. The analytical approach is based on the work of Shen and Atluri (2006) [18] with some modifications. The modifications are related to the elasto-plastic unloading of shot impingements, friction coefficient effect and the fraction of kinetic energy transmitted to the treated material. In order to predict more realistic residual stresses, the elasto-plastic unloading phase of shot impacts is modeled using two nonlinear kinematic hardening models considering the Bauschinger effect. Moreover, the effect of the Coulomb friction between target surface and shots is evaluated. For this... 

    A comprehensive experimental and numerical study on redistribution of residual stresses by shot peening

    , Article Materials and Design ; Volume 90 , 2016 , Pages 478-487 ; 02641275 (ISSN) Mahmoudi, A. H ; Ghasemi, A ; Farrahi, G. H ; Sherafatnia, K ; Sharif University of Technology
    Elsevier Ltd  2016
    Abstract
    Shot peening is one of the most effective surface strengthening treatment technologies in which compressive residual stresses are induced beneath the specimen surface. Effects of various factors on the distribution of residual stress profile induced by shot peening have been investigated by many researchers. However, initial residual stresses are one of the important factors which affect the shot peening residual stress.This study is aimed to present comprehensive numerical and experimental study on the effect of initial residual stresses on the shot peened specimen. Initial residual stresses were induced using a four-point bending rig and grinding. Incremental center hole drilling (ICHD)... 

    Developing an Analytical Model for Predicting the Residual Stresses Induced by Shot Peening with Considering the Effect of Initial Surface Treatment

    , Ph.D. Dissertation Sharif University of Technology Sherafatnia, Khalil (Author) ; Farrahi, Gholam Hossein (Supervisor) ; Mahmoudi, Amir Hossein (Co-Supervisor)
    Abstract
    Shot peening is a cold-working process commonly used in industry to improve the fatigue performance, stress corrosion resistance and surface nano-crystallization of metallic parts. This process extends fatigue life via two mechanisms: Preventing the crack growth due to compressive residual stresses and, preventing the crack initiation because of increased material hardness. These mechanisms are the results of the bombardment of the component's surface with small spherical particles. In this research, an analytical model is developed for estimating the residual stress distribution induced by shot peening process. The modifications of the developed analytical model are related to... 

    Failure analysis of a gas turbine compressor in a thermal power plant

    , Article Journal of Failure Analysis and Prevention ; Volume 13, Issue 3 , 2013 , Pages 313-319 ; 15477029 (ISSN) Masoumi Khalil Abad, E ; Farrahi, G. H ; Masoumi Khalil Abad, M ; Zare, A. A ; Parsa, S ; Sharif University of Technology
    2013
    Abstract
    This study presents the results of failure analysis of a 28 MW gas turbine at the Rei electrical power plant. The gas turbine failed during the shutdown period and near its second natural frequency at 4200 rpm. Initial inspections revealed that the compressor disk of stage 15 was fractured, and all of the stationary and rotary blades of stages 14-18 of the compressor had been detached or broken from the dovetail region of the disks. The fracture roots were investigated by performing finite element modeling and fractography analysis. It was shown that a crack was initiated from the disk edge on its interface with the rotor shaft and was propagated under cyclic loading. As a result of the... 

    Effect of Mold Hardness on Microstructure and Contraction Porosity in Ductile Cast Iron

    , Article Journal of Iron and Steel Research International ; Volume 18, Issue 4 , 2011 , Pages 44-47+67 ; 1006706X (ISSN) Khalil Allafi, J ; Amin Ahmadi, B ; Sharif University of Technology
    2011
    Abstract
    The effect of mold hardness on the microstructure of ductile iron and the contraction porosity was investigated. Molds with different hardnesses (0.41, 0.48, 0.55, 0.62 MPa) and a sand mold prepared by Co2 method were used. The influence of silicon content on the induced expansion pressure owing to the formation of graphite was also investigated. The contraction during solidification can be compensated by an induced expansion owing to the graphite relief when the hardness of mold increases; therefore, the possibility of achieving a sound product without using any riser increases  

    The effect of chemical composition on enthalpy and entropy changes of martensitic transformations in binary NiTi shape memory alloys

    , Article Journal of Alloys and Compounds ; Volume 487, Issue 1-2 , 2009 , Pages 363-366 ; 09258388 (ISSN) Khalil Allafi, J ; Amin Ahmadi, B ; Sharif University of Technology
    2009
    Abstract
    In the present research work the binary NiTi alloys with various compositions in the range of 50.3-51 at.% Ni were used. Samples have been annealed at 850 °C for 15 min and then quenched in water. In order to characterize transformation temperatures and enthalpy changes of the forward and the reverse martensitic transformation, Differential Scanning Calorimetric (DSC) experiments were performed. The enthalpy and entropy changes as a function of Ni atomic content have been thermodynamically investigated. Results show that enthalpy and entropy changes of martensitic transformation decrease when Ni atomic content increases. The variation of enthalpy and entropy of martensitic transformation... 

    EEG based biometrics using emotional stimulation data

    , Article 5th IEEE Region 10 Humanitarian Technology Conference, R10-HTC 2017, 21 December 2017 through 23 December 2017 ; Volume 2018-January , February , 2018 , Pages 246-249 ; 9781538621752 (ISBN) Khalil, R ; Arasteh, A ; Sarkar, A. K ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2018
    Abstract
    EEG based biometrics using linear Support Vector Machine (SVM) is proposed in this paper. Human identification using electroencephalographic signal was done in this research. Reliability of most of the biometrics systems is not up to the mark because of the possibility of being faked or duplicated. Here, the brain signatures were used as a possible biometric identifier. A Database for Emotion Analysis using Physiological Signals containing 40 trials from each participant was used. International 10-20 system of EEG electrode placement was employed and data from Cz electrode was taken for this research. Some researches showed nice performance with few subjects. Here, 20 subjects were used from... 

    Biocompatibility and corrosion behavior of the shape memory NiTi alloy in the physiological environments simulated with body fluids for medical applications

    , Article Materials Science and Engineering C ; Volume 30, Issue 8 , 2010 , Pages 1112-1117 ; 09284931 (ISSN) Khalil Allafi, J ; Amin Ahmadi, B ; Zare, M ; Sharif University of Technology
    2010
    Abstract
    Due to unique properties of NiTi shape memory alloys such as high corrosion resistance, biocompatibility, super elasticity and shape memory behavior, NiTi shape memory alloys are suitable materials for medical applications. Although TiO2 passive layer in these alloys can prevent releasing of nickel to the environment, high nickel content and stability of passive layer in these alloys are very debatable subjects. In this study a NiTi shape memory alloy with nominal composition of 50.7 atom% Ni was investigated by corrosion tests. Electrochemical tests were performed in two physiological environments of Ringer solution and NaCl 0.9% solution. Results indicate that the breakdown potential of... 

    Modelling and Simulation of Heat Transfer in the Moicrowave Sintering Process of Uranium Dioxide

    , M.Sc. Thesis Sharif University of Technology Ahmadi, Mustafa (Author) ; Outokesh, Mohammad (Supervisor) ; Mousavian, Khalil (Supervisor)
    Abstract
    One of the steps in the production of nuclear fuel pellets used in the core of a nuclear reactor is sintering. Sintering means the consolidation of a pressed powder sample into an integrated solid. This process can be done in different ways, such as traditional sintering, microwave, spark plasma, etc. In the process of fabrication of nuclear fuel pellets, after producing uranium dioxide in powder form and making corrections on the size distribution of powder grains, it would be nolded and then sintered. In this research, the temperature evolution of the green pellets introduced to microwave heating were investigated. In this report, a brief overview of the principles of microwave heating is... 

    Development of a Validation and Calibration Algorithm for Thermohydraulic Sensors of Bushehr NPP First Circuit Using Neural Networks

    , M.Sc. Thesis Sharif University of Technology Ebrahimzadeh, Alireza (Author) ; Ghaffari, Mohsen (Supervisor) ; Moshkbar-Bakhshayesh, Khalil (Co-Supervisor)
    Abstract
    Sensors are one of the most vital instruments in Nuclear Power Plants (NPP), and operators and safety systems monitor various parts of the NPP and control transients by analyzing the values reported by the sensors. Failure to detect malfunctions or anomalies in them would lead to catastrophic consequences. A new approach based on thermo-hydraulic simulation by RELAP5 code and Feed-Forward Neural Networks (FFNN) is given to detect faulty sensors and estimate their correct value which are two main objectives of the current study. This approach consists of two main parts; The first part, Fault Detection Hyper Block (FDHB), responsible for detecting faulty sensors, and the second part,... 

    Estimation Influential Parameters in Operation of the Bushehr Nuclear Power Plant using Neural Network

    , M.Sc. Thesis Sharif University of Technology Ghanbari, Mohammad (Author) ; Ghofrani, Mohammad Bagher (Supervisor) ; Moshkbar Bakhshayesh, Khalil (Co-Advisor)
    Abstract
    Given many computing errors in current systems, a method appears necessary for predicting the nuclear parameter quickly and accurately. In this thesis, a neural network was used to predict safety in a nuclear power plant in order to develop an operating aid tool for preventive measures.First, some studies were conducted on appropriate feature selection for training neural networks. Some case studies have also been carried out on parameter prediction through soft computing in a power plant. In the next section, an expert judgment was taken into account to select DNBR (Departure from Nucleate Boiling Ratio) as a criterion for safety evaluation in the exploitation of a nuclear power plant (PWR)... 

    PIDEC Batteries Simulation Accompany with Comparative Study of Key Parameters on its Efficiency

    , M.Sc. Thesis Sharif University of Technology Mirhadi, Hosna Sadat (Author) ; Moshkbar Bakhshayesh, Khalil (Supervisor) ; Mohtashami, Soroush (Co-Supervisor)
    Abstract
    Nuclear batteries have been attractive since the beginning of the twentieth century due to their longer life in comparison with other types of batteries. These batteries are produced in different types with different efficiencies depending on the method used to convert their energy. In this study, due to the lack of the resources in the country to study the types of nuclear batteries, first we did an overview of the classification and operation of different types of nuclear batteries, especially on the latest type of nuclear batteries, PIDEC, that has not been studied in the country so far. The most important feature of a PIDEC is that it has an intermediate stage to transmit the maximum... 

    Design and Development of Gamma Wireless Detector with the Use of Soft Computing to Identify the Type of Radioisotope for Environmental Monitoring

    , M.Sc. Thesis Sharif University of Technology Alizadeh Bayati, Zeynab (Author) ; Vosoughi, Naser (Supervisor) ; Moshkbar Bakhshayesh, Khalil (Co-Supervisor)
    Abstract
    The inability to directly observe radioactive rays, from the beginning of the discovery of these rays, led various people to seek a suitable solution to detect and recognize their properties. To this end, many detectors with different capabilities were built. On the other hand, in the electronic world, it was possible to analyze electrical pulses and extract information based on them. Therefore, some detectors were designed to convert the traces left by the entry and interaction of radioactive rays into measurable electrical pulses proportional to the properties of the incident radiation. Analysis of these pulses provides information about the properties of the incident rays. So far, a... 

    Estimation of Power Peaking Factor (PPF)Parameter in VVER Reactor Using Soft Computing, Case Study: Bushehr Nuclear Power Plant

    , M.Sc. Thesis Sharif University of Technology Sharifi, Saeed (Author) ; Ghofrani, Mohammad Bagher (Supervisor) ; Moshkbar Bakhshayesh, Khalil (Supervisor)
    Abstract
    operation of a nuclear power plant. Therefore, constant monitoring of the reactor core with reliable methods is important. To monitor the reactor heart, it is necessary to estimate and calculate some parameters, with high speed and accuracy, such as power distribution inside the heart, reactivity feedback coefficients, PPF, DNBR, etc. Analytical methods are often used to calculate these parameters, which in case of failure of the sensors, the calculations will be practically disrupted, and the method used in this research can solve these problems by losing a small amount of accuracy.In this study using real data of Bushehr nuclear power plant (BNPP) and by soft computing methods and... 

    Failure analysis of a gas turbine compressor

    , Article Engineering Failure Analysis ; Volume 18, Issue 1 , 2011 , Pages 474-484 ; 13506307 (ISSN) Farrahi, G. H ; Tirehdast, M ; Masoumi Khalil Abad, E ; Parsa, S ; Motakefpoor, M ; Sharif University of Technology
    2011
    Abstract
    During the shut down period, a 32. MW gas turbine experienced a severe failure accompanied by a loud noise near its second natural frequency at 4200. rpm. After opening the turbine casing, it was revealed that the disks of stages 16 and 17 of the compressor had been fractured and all of the stationary and rotary blades of stages 14-18 of the compressor had been detached from the dovetail region of the disks. The degree of damage was such that repairing the compressor was not economical, and thus, the compressor was no longer able to be used. Diagnostic work was carried out using different finite element models and fractography analysis. Analysis showed that multiple cracks had been initiated... 

    Diagnosis and Prediction of Coronary Arteries Disease by Applying Data Mining and Image Processing Techniques

    , M.Sc. Thesis Sharif University of Technology Hasoni Shahre Babak, Mohammad Sagegh (Author) ; Khedmati, Majid (Supervisor) ; Foroozan Nia, Khalil (Co-Supervisor)
    Abstract
    Heart disease is one of the major causes of death in all countries, especially developing countries. At the moment, using Image Processing methods as well as analysis of electrocardiographic signals, heart disease is diagnosed with the help of specialists. Applying artificial intelligence and machine learning methods, many studies attempted to provide models that are used to diagnose automatically the heart disease without the need for a specialist and only relying on the past data. But less is done on CTA images of the heart. Hence, in this thesis, a new method for image processing and a Multi Support Vector Machine (MSVM) classification for coronary artery disease detection based on CTA...