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Design and Analysis of a Wearable Robot for Rehabilitation of Ankle Joint
, M.Sc. Thesis Sharif University of Technology ; Farahmand, Farzam (Supervisor) ; Abbaspour, Madjid (Co-Advisor) ; Behzadipour, Saeed (Co-Advisor)
Abstract
Worldwide, stroke is the third leading cause of death, after cancer and cardiac diseases. Not only Stroke may lead to death, but its complications are critical, such as: Paralysis, Dysarthria, Cognition Disorders, etc. Improvement from these complications and also preventing from new ones, define the rehabilitation field; in other words, rehabilitation process tries to recover the movement ability of these patients. Today rehabilitation robots are helping these process to be faster and more comfortable, for both patients and physiotherapists. Purpose of this research, is design of a robot for performing rehabilitation process, to lower physiotherapy duration and lower the exhaustion of...
Factors affecting platinum extraction from used reforming catalysts in iodine solutions at temperatures up to 95 °C
, Article Hydrometallurgy ; Volume 97, Issue 1-2 , 2009 , Pages 119-125 ; 0304386X (ISSN) ; Baghalha, M ; Sharif University of Technology
2009
Abstract
Platinum extraction from the spent reforming catalysts in iodine-iodide solutions at temperatures from 25 to 95 °C was investigated. The reforming catalyst mostly consists of a porous gamma alumina support with metallic platinum finely dispersed on the walls of the nano-pores of the catalyst support. The effect of a variety of factors, including catalyst particle size, impeller agitation speed, reactant concentrations, liquid to solid mass ratio, temperature and the solution pH on the Pt extraction rate and recovery were investigated. It was found that the catalyst particle sizes less than 106 μm and impeller agitation speed higher than 700 rpm eliminated the effects of catalyst size and...
Simulation of corrosion protection methods in reinforced concrete by artificial neural networks and fuzzy logic
, Article Journal of Electrochemical Science and Engineering ; Volume 12, Issue 3 , 2022 , Pages 511-527 ; 18479286 (ISSN) ; Shokrgozar, A ; Afshar, A ; Afshar, A ; Sharif University of Technology
International Association of Physical Chemists
2022
Abstract
In this study, the effect of protection methods regarding the corrosion decrement of steel in concrete was simulated by artificial neural networks (ANNs) and fuzzy logic (FL) approaches. Hot dip galvanizing as a protective coating, Ferrogard 901 corrosion inhibitor, a pozzolanic component, such as fly ash (FA) and micro-silica (MS), and eventually rebar AISI-304 were employed in concrete. Reinforced concrete samples were held under impressed voltage of 30 V in 3.5 % NaCl electrolyte for 350 hours toward a stainless-steel auxiliary electrode. Corrosion currents have been modelled using feed forward back propagation ANNs and FL methods. The results demonstrate good consistency between...
Numerical Investigation of Stress Absorbing Membrane Interlayer
, M.Sc. Thesis Sharif University of Technology ; Motamed, Arash (Supervisor)
Abstract
Stress Absorbing Membrane Interlayer (SAMI) is a slightly thin layer made of bitumen and aggregate placed between a pavement with limited cracking and overlay in order to avoid reflective cracking in overlay. SAMI’s performance depends on many factors such as pavement layer’s materials and thickness and existing pavement’s condition. Numerical simulations are powerful tools to evaluate SAMI’s performance. Previous studies showed that construction of SAMI does not necessarily reduce reflective cracking. This research investigated the effect of different parameters on SAMI’s performance using numerical simulations. The focus of this study was on the performance of SAMIs used between asphalt...
Traffic Engineering Design in Software-Defined Networks with Big Flow Applications
, M.Sc. Thesis Sharif University of Technology ; Akbari, Behzad (Supervisor)
Abstract
"Programmable networks" are to facilitate and evolve the computer networks. Specifically, Network Defined Software (SDN) is an advanced and innovative solution in the new computer network in which the hardwares are completely independent of the control and decision regarding data transfer. Based on this logic, network management becomes much simpler and enables innovation and new solutions for different parts of the network. In SDN, the program or network intelligence is logically present in software-based controllers (on the control panel) and can be changed and programmed, and network devices are converted into network packet sending hardware (on the data page) through an interface, Such...
The Impact of AV and CAV Vehicles on Capacity and Traffic Flow with Cooperative Lane changing in Mixed Traffic Environment
, M.Sc. Thesis Sharif University of Technology ; Nassiri, Habibollah (Supervisor)
Abstract
Autonomous vehicles, as an integral part of intelligent transportation systems, will play a significant role in the future of transportation services. These vehicles have a high potential to improve road traffic capacity and the efficiency of transportation systems. One type of autonomous vehicle is the connected and autonomous vehicle (CAV), which can communicate with each other, roadside units, traffic control signals, and other infrastructures or devices. This study investigates the impact of autonomous vehicles and connected and autonomous vehicles on the traffic flow of the Tehran-Karaj freeway and vice versa, under various penetration rates and in a mixed traffic environment. In this...
Simulation of the effects of pozzolanic additives and corrosion inhibitor on the corrosion of reinforced concrete by artificial neural networks
, Article Revista Romana de Materiale/ Romanian Journal of Materials ; Volume 49, Issue 4 , 2019 , Pages 535-543 ; 15833186 (ISSN) ; Nobakhti, A ; Shokrgozar, A ; Afshar, A ; Sharif University of Technology
Fundatia Serban Solacolu
2019
Abstract
In this research, we simulate the corrosive behavior of steel reinforcements on 5 different mixtures to investigate the effect of two powerful protective methods, including pozzolanic additives and corrosion inhibitor on concrete, by artificial neural networks (ANNs). Related to this model, fly ash (FA), micro silica (MS), and slag were used as pozzolanic materials at an optimum 25%, 10%, and 25% of cement weight, respectively. Moreover, Ferrogard 901 as an inhibitor was also utilized. The producer recommends using12 kg/m3 to get the best possible results. The non-linear corrosion of concrete into a marine solution (3.5% NaCl) was simulated by the feed forward back propagation (FFBP)...
Simulation of the effects of pozzolanic additives and corrosion inhibitor on the corrosion of reinforced concrete by artificial neural networks
, Article Revista Romana de Materiale/ Romanian Journal of Materials ; Volume 49, Issue 4 , 2019 , Pages 535-543 ; 15833186 (ISSN) ; Nobakhti, A ; Shokrgozar, A ; Afshar, A ; Sharif University of Technology
Fundatia Serban Solacolu
2019
Abstract
In this research, we simulate the corrosive behavior of steel reinforcements on 5 different mixtures to investigate the effect of two powerful protective methods, including pozzolanic additives and corrosion inhibitor on concrete, by artificial neural networks (ANNs). Related to this model, fly ash (FA), micro silica (MS), and slag were used as pozzolanic materials at an optimum 25%, 10%, and 25% of cement weight, respectively. Moreover, Ferrogard 901 as an inhibitor was also utilized. The producer recommends using12 kg/m3 to get the best possible results. The non-linear corrosion of concrete into a marine solution (3.5% NaCl) was simulated by the feed forward back propagation (FFBP)...
A catalyzed method to remove polychlorinated biphenyls from contaminated transformer oil
, Article Environmental Science and Pollution Research ; 2021 ; 09441344 (ISSN) ; Gholipour Zanjani, N ; Khorasheh, F ; Arjmand, M ; Sharif University of Technology
Springer Science and Business Media Deutschland GmbH
2021
Abstract
The disposal of polychlorinated biphenyls (PCBs) as persistent organic pollutants from the environment has been normally performed by isolation from soil or water because of their biological activity and toxic potential. In the present investigation, catalytic hydrodehalogenation was used to detoxify PCBs-contaminated transformer oil. All reactions were directed on an oil containing 11.09 wt% of PCBs utilizing palladium supported on multi-walled carbon nanotubes (Pd/MWCNTs). The amount of hexa-chlorine homologues reduced considerably from 5.07% to less than 800 ppm utilizing HDC at the atmosphere of argon. Moreover, the amounts of long half-lives and bioaccumulative congener of PCB 153...
A catalyzed method to remove polychlorinated biphenyls from contaminated transformer oil
, Article Environmental Science and Pollution Research ; Volume 29, Issue 9 , 2022 , Pages 13253-13267 ; 09441344 (ISSN) ; Gholipour Zanjani, N ; Khorasheh, F ; Arjmand, M ; Sharif University of Technology
Springer Science and Business Media Deutschland GmbH
2022
Abstract
The disposal of polychlorinated biphenyls (PCBs) as persistent organic pollutants from the environment has been normally performed by isolation from soil or water because of their biological activity and toxic potential. In the present investigation, catalytic hydrodehalogenation was used to detoxify PCBs-contaminated transformer oil. All reactions were directed on an oil containing 11.09 wt% of PCBs utilizing palladium supported on multi-walled carbon nanotubes (Pd/MWCNTs). The amount of hexa-chlorine homologues reduced considerably from 5.07% to less than 800 ppm utilizing HDC at the atmosphere of argon. Moreover, the amounts of long half-lives and bioaccumulative congener of PCB 153...
Proposing a Method for Evaluating Cognitive Complexity of Modeling Languages
, M.Sc. Thesis Sharif University of Technology ; Mirian Hosseinabadi, Hassan (Supervisor)
Abstract
Modeling languages are well-known mechanisms for describing the underlying structures in software and many other contexts. In order to use an information technology product to solve a specific problem, such as a modeling language, not only there is a need to cognize the problem and search for its solution, but also it’s necessary to have a correct perception of context and details of modeling language in first place. One of the setbacks that users encounter in perceiving the sense of diagrams and their details is cognitive complexity. Although lots of modeling languages are defined and introduced up to now, but there are no suitable yardsticks to evaluate the cognitive complexity of users...
Design of A Digitally Controlled Bias Chip For A Transceiver
, M.Sc. Thesis Sharif University of Technology ; Medi, Ali (Supervisor) ; Sheikhaei, Samad (Supervisor)
Abstract
Advances in IC fabrication makes possible have systems on chips. In this thesis we have designed and fabricated a digitally controlled bias chip for a transceiver which can be programmed by its digital interface. In this thesis, briefly we review basics of voltage regulators and methods for controlling them. Then we introduce high voltage 0.18um CMOS technology. In this thesis, we describe the requirements of a specific transceiver and present a system to overcome these requirements. This system has positive, negative and internal regulators, a five-bit analog to digital converter, temperature sensors, power amplifier controller and digital serial interface. In this thesis, we present a...
Corrosion resistance evaluation of rebars with various primers and coatings in concrete modified with different additives
, Article Construction and Building Materials ; Volume 262 , 2020 ; Jahandari, S ; Rasekh, H ; Shariati, M ; Afshar, A ; Shokrgozar, A ; Sharif University of Technology
Elsevier Ltd
2020
Abstract
Corrosion of steel rebars in concrete can reduce the durability of concrete structures in coastal environments. The corrosion rate of these concrete structures can be reduced by using suitable concrete additives and coating on rebars. This paper investigates the corrosion resistance of steel rebars by the addition of pozzolanic materials including fly ash, silica fume, polypropylene fibers, and industrial 2-dimethylaminoethanol (FerroGard 901) inhibitors to the concrete mixture. Three different types of rebars including mild steel rebar st37, and two stainless steel reinforcements, AISI 304 and AISI 316, were used. Various types of primer and coating including alkyd based primer, hot-dip...
Flow stress dependence on the grain size in alumina dispersion-strengthened copper with a bimodal grain size distribution
, Article Materials Science and Engineering A ; Volume 518, Issue 1-2 , 2009 , Pages 41-46 ; 09215093 (ISSN) ; Simchi, A ; Sharif University of Technology
2009
Abstract
The grain size dependence of flow stress in Cu-2.7 vol.%Al2O3 (15 nm) composite with a bimodal structure was studied. It is shown that the yield strength obeys the Hall-Petch equation when an appropriate value of average grain size based on the "rule of mixture" is employed. The Hall-Petch constants (σ0ε and kε) are proportional to strain as ε0.5. An equation for flow stress as a function of true strain and average grain size is proposed. The effect of alumina nanoparticles on the yield strength is shown to be related to large amounts of dislocations density. © 2009 Elsevier B.V. All rights reserved
Enhanced stabilization diagram for automated modal parameter identification based on power spectral density transmissibility functions
, Article Structural Control and Health Monitoring ; Volume 26, Issue 7 , 2019 ; 15452255 (ISSN) ; Khodaygan, S ; Sharif University of Technology
John Wiley and Sons Ltd
2019
Abstract
Operational modal analysis based on power spectral density transmissibility (PSDT) functions is a useful tool to identify the modal parameters with low sensitivity to excitations. For pole extraction from the PSDT function, a proper parametric identification method such as the polyreference least squares complex frequency-domain method or poly-Max method can be used. Then, the poles are selected from a stabilization diagram (SD) with overestimating the system model order. Therefore, spurious modes can be identified that must be distinguished and removed from the system poles. To reach this aim, many techniques have been proposed and applied. In this paper, a new algorithm is proposed to...
Abnormal grain growth in alumina dispersion-strengthened copper produced by an internal oxidation process
, Article Scripta Materialia ; Volume 58, Issue 11 , 2008 , Pages 966-969 ; 13596462 (ISSN) ; Simchi, A ; Sharif University of Technology
2008
Abstract
Cu-2.7 vol.% Al2O3 (15 nm) composite was synthesized by an internal oxidation and hot extrusion process. The grain growth at elevated temperatures was studied and compared with extruded copper powder. Abnormal grain growth via a mechanism analogous to that of site-saturated phase transformation was observed. The critical grain size for the abnormal growth was determined to be 1.1 ± 0.2 μm. The growth rate decreased with time until the grain size approaching a final value ranging from 7.9 to 13.3 μm depending on the temperature. © 2008 Acta Materialia Inc
Managing reengineering operations
, Article 2006 IEEE International Conference on Management of Innovation and Technology, ICMIT 2006, Singapore, 21 June 2006 through 23 June 2006 ; Volume 1 , 2006 , Pages 268-269 ; 1424401488 (ISBN); 9781424401482 (ISBN) ; Sepehri, M ; Sharif University of Technology
2006
Abstract
Fifteen years after introduction of Business Process Reengineering (BPR) and a series of successful and not-so-successful BPR implementation, a revised methodology is needed to incorporate cases of major and sudden organizational or environmental changes with BPR. The new methodology can also be particularly applicable to project oriented businesses. September 11, Tsunami, and other major world events show that nothing is constant but change. A reengineered process may only stay as the environment factors stay the same. Therefore, the processes can no longer be the central focus of reengineering, but the output needs. Technology has enabled us to refocus and apply reengineering constantly to...
Bioglass Coating on 316L Stainless Steel
, M.Sc. Thesis Sharif University of Technology ; Afshar, Abdollah (Supervisor)
Abstract
Bioactive glasses are able to bond to soft and hard tissues in living body and their application as coating on metallic implants like 316L stainless steel has two important effects: (1) intimate link between bone and materials and (2) corrosion protection of metallic implant in body fluid and protection from tissues in front of corrosion products. Therefore, in this research, 45S5 bioactive glass prepared via sol- gel method was dip coated on 316L stainless steel substrates and its characteristics was investigated.Results of phase analysis showed that by sintering 45S5 bioglass at 600 ˚C for 5 h, an amorph sample with small amount of Na2Ca2Si3O9 was obtained. So, the bioglass coated samples...
Micro Arc Oxidation Coating on Magnesium Alloy AZ31 and Study its CorrosionBehavior in Physiological Solution
, M.Sc. Thesis Sharif University of Technology ; Afshar, Abdollah (Supervisor)
Abstract
Magnesium and its alloys have been used as biodegradable implements in recent years. However Magnesium implements may corrode in the body before the natural healing process of the damaged tissue. MAO process was studied in order to reduce primary corrosion of Magnesium alloy in Simulated Body Fluid (SBF). MAO coating was created on AZ31 alloy in a nontoxic alkaline-silicate solution at DC current densities of 5, 10, 15 and 20 mA/cm2 for 30 minutes and the current was in form of 20-10-5 mA/cm2 steps that each were applied for 10 minutes. The maximum corrosion resistance was observed for the mentioned step applied current in a 30g/l Sodium Silicate solution. Furthermore the effects of adding...
Simulatin of Reinforcement Corrosion in Pozzolanic Concrete by Neural Network
, M.Sc. Thesis Sharif University of Technology ; Afshar, Abdollah (Supervisor)
Abstract
One of the most important factors of reducing durability of concrete structures is corrosion of steel reinforcement in concrete. In this paper, corrosion behavior of reinforcing steel in concrete is investigated in two different methods of protection based on neural network. As regard the first method, pozzolanic additives with optimized percentage were added to Concrete mix design (the percentage of these additives are 25% Weight of cement of fly ash, Micro silica with 10 percent of weight of cement and 25% of Blast Furnace slag weight of cement). In the second approach of protection, 0/5 percent weight of cement of ferrogard 901 inhibitor is added to basic mix concrete design and the...