Sharif Digital Repository

Prediction of axial flow turbine’s performance with different operating conditions due to the high costs and lack of reliable empirical data is always under developing. In this type of turbine, fluid flow is three-dimensional, viscous and highly turbulent. Nowadays, although a relatively detailed picture of the flow field can be obtained by the computational and numerical tools, but using of appropriate loss models in one-dimensional modeling for the performance prediction as well as optimization of the turbine in initial design phases, is a common trend.
In the current study, aerodynamic losses in the axial flow turbine are investigated. Several loss models for the axial flow turbines... 

Knew is the biggest and most complicated joint in the body.Morever knew creat mobility must bear the weight of body and have a stability during static and dynamic activities.Knew is exposed different forces that force to around ligaments and soft fibers.After knew injuries, administration of aid is the important part of rehabilitation program.Rehabilitation robots with ability of accuracy and repetitive practices are good method for reducing time and energy of physiotherapist.At this thesis a 3 DOF Cartesian robot is designed and constructed for rehabilitation of knew that can do every practices for rehabilitation.Steps of designing and constructing of robot are based on movments of knew... 

Evaluation of the seismic-induced settlement of an unsaturated soil layer depends on several variables, among which the small strain shear modulus, Gmax, and soil’s state of stress have been demonstrated to be of particular significance. Recent interpretation of trends in Gmax revealed considerable effects of the degree of saturation and hydraulic hysteresis on the shear stiffness of soils in unsaturated states. Accordingly, the soil layer is expected to experience different settlement behaviors depending on the soil saturation and seasonal weathering conditions. In this study, a semi-empirical formulation was adapted to extend an existing Gmax model to infer hysteretic effects along... 

Polymer/clay nanocomposites (PCNs) are multifunctional materials that have superior mechanical and thermal properties than polymer-based materials. These materials are obtained by adding small amounts of nanoclays to a polymer matrix. In this work, a molecular dynamics simulation was carried out to investigate the thermomechanical properties of thermosetting clay nanocomposites. The polymer matrix was composed of phenolic molecules with the crosslink density of 0.74, and different structures of PCNS were considered by varying the amount of polymer molecules. Molecular dynamics simulations of different nanocomposite structures were used to provide the atomistic insights, the molecular... 

This work numerically simulates pressure drop and heat transfer for flow in a pipe with porous wall. Incompressible two dimensional, ax symmetric laminar or turbulence flow with constant mass flow rate is considered. It is assumed that there is no thermal equilibrium in the porous media region between solid and fluid phase. Effect of porous wall thickness and Darcy number on the rate of heat transfer and pressure drop were investigated. The Darcy number varies from to and porous wall thickness can fill entire pipe. the turbulent model is used to calculate the fluid flow and heat transfer characteristics in turbulent flow. Nusselt number can enhance about ... 

Adobe structures are considered as masonry structures which are out of scope of 2800 Iranian code. Due to this code, since these structures are made of weak materials, they do not have a considerable resistance to earthquakes. Since these structures can be found all around Iran; therefore, seismic study of walls as an important component of these structures, is, indeed, necessary. During this study, cyclic tests on three types of adobe walls, without opening, with window-opening, and with door-and-window-opening with a scale of 2:3 were done to study their in-plane behavior and also their failure modes. Based on our observations, in these walls, because of small ratio of height to length,... 

One of the ultimate goals in robotics is to design autonomous robots. Among other things, this means a robot has to be able to plan its own motion. To be able to plan a motion, a robot must have some knowledge about the environment in which it is moving. Some of this information can be provided by a floor plan. For other information the robot will have to rely on its sensors. In this thesis, we consider that the environment is unknown for the robot. So, the robot uses weak sensor to planning its motion. The sensor can distinguish between colors. The robot can follow the colors. Therefore, we need to specify the umber of colors in which the robot can navigate by them. We propose an efficient... 

Magnetron is one of the microwave-generating devices that operates based on the microwave-electron flow interaction in the active region of the tube, which is affected by the resonant cavities and It is used in a wide range of power (from kW range at home microwave ovens to several GW in relativistic high power magnetrons and the frequencies from the order of few too MHz to tens of GHz). Although nowday's low-power generators based on transistors have replaced microwave generating tubes and even MW radio transmitters are made based on the combination of semiconductor microwave generators, but in the production of RF pulses at higher frequencies and powers, the electron tubes are the main... 

With the rapid advances in microwave semiconductor devices and systems, the demand for implementation of nonlinear transmission lines (NLTLs) is rapidly increased. NLTLs support short pulses and wide band-widths. These networks provide cutoff frequencies over hundreds of GHz and picosecond rise times. Among all of the applications of NLTLs, the most attention has been paid to their application in the generation of high power RF pulses. In this application, a high power rectangular pulse is injected to the line, gradually evolved to an oscillatory pulse while propagating through the network, and finally, in the form of a high power RF pulse, is delivered to the load. NLTLs are the most... 

This thesis is divided into three parts: In part I, conformational properties of neutral, anionic, cationic and zwitterionic forms of glutathione tripeptide were investigated by means of DFT-B3LYP method with 6-31+G (d,p) basis set. Results show that glutathione is a very flexible molecule and its conformational energy landscape is strongly influenced by forming intramolecular hydrogen bond and its charge. Conformation of each amino acid in glutathione tripeptide depends on its orientation within the peptide sequence in addition to the conformation of other amino acids within the chain. Investigation of intramolecular hydrogen bonds in these conformers by means of AIM analysis demonstrates... 

We present a deep neural network to classify dermatological disease from patient images. Using self-supervised learning method we have utilized large amount of unlabeled data. We have pre-trained our model on 27000 dermoscopic images gathered from razi hospital, the best dermatological hospital in Iran, along with 33000 images from ISIC 2020 dataset. We have evaluated our model performance in semi-supervised and transfer learning approaches. Our experiments show that using this approach can improve model accuracy and PRC up to 20 percent on semi-supervised setting. The results also show that pretraining can improve classification PRC up to 20 percent on transfer learning task on HAM10000...