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In this paper, simulation and analysis of thin steel cylindrical shells of various lengths and diameters and thickness with triangular cutouts have been studied. In this research buckling and post-buckling analyses were carried out using the finite element method by ABAQUS software. Moreover, the effect of cutout position and the length-to-diameter (L/D) and diameter-to-thickness (D/t) ratios on the buckling and post-buckling behavior of cylindrical shells have been investigated. In this work the cylindrical shells used for this study were made of mild steel and their mechanical properties were determined using servo hydraulic machine. Then buckling tests were performed using a servo hydraulic machine. In order to numerical analyze the buckling subject to axial load similar to what was done in the experiments; a displacement was applied to the center of the upper of the specimens. The results of experimental tests were compared to the results of the finite element method. A very good correlation was observed between numerical simulation and experimental result.

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Abstract - Vickers test method and many equations presented by researchers are used for determining the fracture toughness of brittle materials.These equations are generally based on the relationship between the crack lengths around the indentation zone of Vickers test and the fracture toughness in the specimen. There is only one equation including a semi-empirical coefficient based on the indentation surface and the fracture toughness of the specimen. In this paper, improvement the accuracy of semi-empirical coefficient in this equation is studied for determining the fracture toughness of specimens without additives and containing 5 wt% phenolic resin experimentally. Increasing the accuracy of semi- empirical coefficient leads the increasing the extent of application and accuracy of the results of fracture toughness obtained from the equation. The accuracy of fracture toughness equation coefficients semi- empirical coefficient from 0.003693 to 0.003655 arrived. This equation has minimal cost of experiments for determining fracture toughness of different brittle materials.

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One of the most important issues in the review of cold roll forming process of metals is estimation of required torque. The optimum production line can be designed by determining the effective parameters on torque. Some of these parameters are sheet material and thickness, bending angle, lubrication conditions, rolls rotational speed and distance of the stands. The aim of this study is to predict amount of required torque considering the factors influencing torque, including thickness, yield strength, sheet width and forming angle using artificial neural network. So the forming process was 3D simulated in a finite element code. Simulation results showed that with increase of yield strength, thickness and forming angle, applied torque on rolls will increase. Also the increase in sheet width -assuming constant web length- will decrease the torque needed for forming. The effects of thickness and sheet width were experimentally investigated which verified the results obtained by finite element analysis. A feed-forward back-propagation neural network was created. The comparison between the experimental results and ANN results showed that the trained network could predict the required torque adequately.

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"DEFORM" three-dimensional finite element software is used to describe the behavior of plastic deformation of Ti-6Al-4V workpiece during blade preform extrusion process. Under different conditions of extrusion, numerical analysis of the process force parameter during extrusion process is presented. The relative effects of billet temperature, friction coefficient and die temperature on process force were investigated. To determine the process friction coefficient, the ring compression test of Ti-6Al-4V alloy with glass lubrication was performed. Also experimental tests were successfully done in order to manufacture blade preform. It was observed that billet temperature has much effect on force of Ti-6Al-4V alloy blade preform extrusion process. Die temperature has effect on the process force but its effect is not as much as the effect of the billet temperature. By increasing of the die temperature, the process force decreases. Experimental tests showed that the billet transfer process from the furnace to die has important effect on done or not done of the extrusion process because the billet transfer process from the furnace to die is cause of alters the billet initial temperature just before extrusion process. By reducing of the placing and transfer time of billet from the furnace to die, due to the vicinity of the billet and air, billet temperature have less reduction and therefore it becomes easier to shape. Also by increasing the friction coefficient, the force required for extrusion of Ti-6Al-4V alloy blades preform increased.

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In this research, the experimental and numerical analysis of the Al. alloy 5083-H321 fracture behavior under uniaxial and bi-axial tension has been investigated. The bi-axial tension cruciform specimens are made by electrochemical methods, according to Lionel model, for considering bi-axial fracture behavior of the material. The specimens are gridded by electrochemical etching method. A dependent bi-axial tension mechanism is fabricated with relatively high precision machining methods. The experimental bi-axial tests have been performed by the mechanism on the INSTRON-1343 uniaxial machine, at ambient temperature and strain rate of 0.0003 1. For comparing the experimental and numerical results, how to fracture the material at the beginning and development of it, the location of fracture on the test section of cruciform specimen, and the force diagrams on the cruciform specimen arms are of interest can be mentioned. The finite element method has been used with regard to the damage conditions of ABAQUS software for simulating the fracture behavior. The experimental results show that fracture at the specimen center does not happen. The fracture of cruciform specimen begins in the test section of specimen and in range with the corners of the specimen. Furthermore, the strains are minimal near cruciform specimen arms and in the test section area. Also, the gradient of stress is towards the test section and along the corners. There was an excellent correlation between theoretical and experimental results for location of damage initiation in the test section, how to fracture in the beginning and after that, and arms forces.

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Powder metallurgy process is commonly used to manufacture nanocomposite products, in which the product quality of this process depends upon Composite of reinforcement nanoparticle and distribution. In this article Metal Matrix Nanocomposite (MMN) by powder metallurgy with a base material stainless steel 316L, a material that is widely used in the industry, and reinforcement particles mixture of Carbide Titanium (TiC) as carbon-based reinforcing particles, and Hexagonal Nitride Boron (hBN) particles as the self-lubricating material is prepared. The reinforcement powders were micro Sized and mixed in high ball milling to reach Nano-sized, after 30 h mixing powders in high ball milling reach to Nano-sized, and then reinforcement Nanoparticles with 2 and 10 Wt.% Mixed with stainless steel 316L for 5 hours and compacted at 400 Mpa and sintered at 1400 C temperature and 3 Hours. Scanning electron microscope (SEM), Energy-dispersive X-ray Spectroscopy (EDX) and X-ray Diffraction (XRD) tests are performed on Powders to identify the nanocomposite microstructure. The Mechanical Properties such as Microhardness, Wear, and Bending Strength Were Analyzed. These results Compare with Results of stainless steel 316L without Reinforcement. Microhardness and abrasion resistance of Nanocomposite material have improved and flexural strength improved at the sample with 2 wt.% reinforcement and reduced at the sample with 10 Wt.%.