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RISS 인기검색어
- 검색키워드
- 저자 : Abdolhamid Gorji (검색결과 3 건)
- 무료
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Effects of forming media on hydrodynamic deep drawing
Vahid Modanloo,Abdolhamid Gorji,Mohammad Bakhshi-Jooybari 대한기계학회 2016 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.30 No.5
Apart from the punch and the die, a pressurized fluid (water or oil) is used in hydroforming. The presence of such pressure media is the main difference between hydroforming and conventional deep drawing. No comprehensive study has yet been conducted on the effect of forming media on the formation of cylindrical cups via hydrodynamic deep drawing assisted by radial pressure. This study investigated the formation of such cups through Finite element (FE) simulation and experiments. First, the process was modeled numerically using ABAQUS FE software. After simulation, copper and St14 sheets were formed with water and oil as the forming media. The effect of these forming media on thickness distribution and maximum punch force was investigated. By examining the thickness distribution curve of the hydroformed cup, a close agreement was found between experimental and numerical results. Using oil as the forming media reduced thinning at the corner radius zone of the punch and increased the maximum punch force. Changing the forming media does not significantly influence the maximum thickening at the cup wall region.
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Ebrahim Nateghi,Abdolhamid Gorji Volukola 한국강구조학회 2019 International Journal of Steel Structures Vol.19 No.3
One of the signifi cant factors that impresses on welded parts’ performance is welding trajectory. Slotted samples with loop and parallel trajectories welded by two steel plates by S235JR and GMAW process. Temperature distributions were registered by the four K type thermocouples. Heat aff ected zone dimensions were measured on polished and etched cross-sections of each sample. Induced distortions by dial indicators were gauged along welding process and cooling. To evaluate temperature fi eld and distortion in the welding process, three-dimensional FE models were performed. There was good agreement between the FE model predictions and experimental measurements. The most temperatures, distortions and induced longitudinal and transverse residual stresses by welding in the loop trajectory were more than the parallel.
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Pressure Path Optimization of Hydrodynamic Deep Drawing of Cylindrical-Conical Parts
Amirreza Yaghoobi,Hamid Baseri,Mohammad Bakhshi-Jooybari,Abdolhamid Gorji 한국정밀공학회 2013 International Journal of Precision Engineering and Vol. No.
Pressure path is one of the most important parameters in hydrodynamic deep drawing process which affect on thickness distribution and bursting in the parts. In this study, a combination of finite element simulation and artificial intelligence was used to optimize the pressure path in hydrodynamic deep drawing process of cylindrical-conical parts to reach the minimum thickness reduction in critical region of product. First, a finite element simulation model was verified based on experimental results. Then, a neural network model was developed using the data generated from the verified finite element model to predict the thickness in critical region of product. The results indicated that the neural network model can be applied successfully for prediction of sheet thickness. In addition, the neural network model was used as a function in simulated annealing algorithm to maximize the thickness in the mentioned critical region. The final results showed that utilization of the optimized loading path yields good uniform thickness distribution of the part.
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