Stress Analysis
Hasan Eleashy
Abstract
This paper introduces a new study to improve performance of the v6-engine crankshaft as V-type engine crankshaft has little consideration in literature. First, static analysis for v6-crankshaft is presented including geometric parameters, loading analysis and material selection. Secondly, finite element ...
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This paper introduces a new study to improve performance of the v6-engine crankshaft as V-type engine crankshaft has little consideration in literature. First, static analysis for v6-crankshaft is presented including geometric parameters, loading analysis and material selection. Secondly, finite element method is applied to analyze a model for v6-crankshaft with a fine element mesh. The boundary condition is formulated to simulate the proposed model. Then, solution for maximum equivalent stress, total deformation and safety factor is carried out. The solution indicates that fillet areas are the most critical sections with highest stress concentrations. Finally, parametric optimization technique is performed to detect the optimum values for fillet radii that produce minimum equivalent stress and minimum total deformation. The optimized model is compared with the original model and theoretical calculations. In the optimized model, maximum equivalent stress is reduced by 34.45% with an increase in mass by 0.02%. Geometric optimizing of v6-crankshaft design provides an effective methodology to improve its performance.
Manufacturing Processes
Hasan Ghafourian Nosrati; Mahdi Gerdooei
Abstract
In recent years, most industries such as the aerospace, automotive, and others have been pushed to methods for reducing costs. One of these methods is the rubber pad forming (RPF) process, which has been given more attention as a low-cost method than conventional methods. In RPF, unlike conventional ...
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In recent years, most industries such as the aerospace, automotive, and others have been pushed to methods for reducing costs. One of these methods is the rubber pad forming (RPF) process, which has been given more attention as a low-cost method than conventional methods. In RPF, unlike conventional methods which mainly use metals as tools, one of the tools will be made of elastic pads. The RPF process has attracted the attention of many researchers around the world. Researchers from Iran started their work in this field around 2001 and subsequently published several remarkable articles. The first published Iranian study of the RPF process dates back to 2003, indicating that the use of flexible tools has a history of two decades in Iran. However, in the last decade, the number of published Iranian articles in the RPF process field and the introduction of new methods based on RPF and its simulation has increased. This review article aims to outline Iran's involvement in the RPF process, and it emphasizes that Iranian researchers predominantly contribute to the RPF process through simulation, experimental endeavors, and the introduction of innovative methods utilizing flexible tools.
Thermodynamics and Cumbustion
A. A. Mirmohammadi; F. Ommi
Abstract
The purpose of this paper is to studying nonlinear k-ε turbulence models and its advantages in internal combustion engines, since the standard k-ε model is incapable of representing the anisotropy of turbulence intensities and fails to express the Reynolds stresses adequately in rotating ...
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The purpose of this paper is to studying nonlinear k-ε turbulence models and its advantages in internal combustion engines, since the standard k-ε model is incapable of representing the anisotropy of turbulence intensities and fails to express the Reynolds stresses adequately in rotating flows. Therefore, this model is not only incapable of expressing the anisotropy of turbulence in an engine cylinder, but also is unable to provide good performance when computing the swirling and tumbling flows is important in engine cylinders. Thus, in this paper, the results of nonlinear k-ε model are compared with those of the linear one. Results of diesel engine simulation with linear and nonlinear k-ε models in comparison show that turbulence intensity in the nonlinear model simulation is higher than that of the linear model; also, nonlinear k-ε models predict the second peak value because of the bowl shape in expansion stroke for turbulence intensity. Gas injection results show that nonlinear turbulence models predict spray penetration accurately because of correctly turbulence intensities predicting. Also, the results demonstrate that, for high pressure gas injection, turbulence intensity is high and predicted accurately using nonlinear models. Then, its spray penetration length is predicted accurately in comparison to experimental data’s. Although CPU time spending in the nonlinear model is more than that of the linear one, the non-linear stress model is found to increase computation time by 19%.
