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 | |