| contributor author | P. P. Gudur | |
| contributor author | U. S. Dixit | |
| date accessioned | 2017-05-09T00:29:30Z | |
| date available | 2017-05-09T00:29:30Z | |
| date copyright | February, 2008 | |
| date issued | 2008 | |
| identifier issn | 1087-1357 | |
| identifier other | JMSEFK-28026#011007_1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/138773 | |
| description abstract | The finite element analysis of cold flat rolling has been carried out by a number of researchers using updated Lagrangian and flow formulations. The major difficulty in the flow formulation is the estimation of hydrostatic stress accurately. In this work, a mixed pressure-velocity finite element flow formulation is used in obtaining the velocity field during the rolling process. The hydrostatic stress is obtained by solving the momentum equations using a finite difference method. The values of Levy–Mises coefficient and strain-rate components required in the finite difference equations are obtained as a function of spatial coordinates using a radial basis function neural network modeling. The proposed method is compared with a mixed pressure-velocity finite element method and experimental results available in the literature. It is observed that the proposed method provides a better agreement with the experimental results. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | A Combined Finite Element and Finite Difference Analysis of Cold Flat Rolling | |
| type | Journal Paper | |
| journal volume | 130 | |
| journal issue | 1 | |
| journal title | Journal of Manufacturing Science and Engineering | |
| identifier doi | 10.1115/1.2815342 | |
| journal fristpage | 11007 | |
| identifier eissn | 1528-8935 | |
| keywords | Pressure | |
| keywords | Stress | |
| keywords | Finite element methods | |
| keywords | Finite element analysis | |
| keywords | Modeling | |
| keywords | Equations | |
| keywords | Finite element model | |
| keywords | Force | |
| keywords | Hydrostatics | |
| keywords | Flow (Dynamics) | |
| keywords | Artificial neural networks | |
| keywords | Torque | |
| keywords | Computation AND Momentum | |
| tree | Journal of Manufacturing Science and Engineering:;2008:;volume( 130 ):;issue: 001 | |
| contenttype | Fulltext | |