Void closure prediction in cold rolling using finite element analysis and neural network

Chen, J.; Chandrashekhara, K.; Mahimkar, Chirag; Lekakh, Semen Naumovich; Richards, Von

doi:10.1016/j.jmatprotec.2010.09.016

Cited by 39 publications

(22 citation statements)

References 15 publications

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“…Chen (2006) simulated the rolling process of the porous metal sheet containing internal void defects, and discussed the influences of the thickness reduction, friction factor and initial void shape on the void evolution. Combining the neural network with the FE simulation results, Chen et al (2011) developed a comprehensive procedure to predict the void closure during the cold rolling process. Chen et al (2012a) studied the void evolution in the hot radial forging process and proposed a globalelocal combined method to enhance the accuracy of the FE simulation.…”

Section: Introductionmentioning

confidence: 99%

A 3-D model for void evolution in viscous materials under large compressive deformation

Cao

Cui

2015

International Journal of Plasticity

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Section: Introductionmentioning

confidence: 99%

A 3-D model for void evolution in viscous materials under large compressive deformation

Cao

Cui

2015

International Journal of Plasticity

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“…This mode of deformation was also observed in various experiments. [6][7][8][9] The contribution of contraction in ESR seemed to be hard to distinguish from collapse. In Cases I and II, shear strain developed by DSR was predicted to be effective for void closure.…”

Section: Comparison To Experimental Findingsmentioning

confidence: 99%

“…Chen et al performed both numerical and experimental analyses of void closure during cold rolling and found that the circular cross section of a central void collapsed. [8] Recently, Park found that collapse of a void was more feasible than contraction to achieve void closure in forging. [9] Contraction develops by hydrostatic stress in which a void shrinks in size while maintaining its shape to some extent.…”

Section: Introductionmentioning

confidence: 99%

Effect of Shear Deformation on Closure of a Central Void in Thin-Strip Rolling

Park

2015

Metall Mater Trans A

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Central voids or voids at the middle layer are often found in thin strips produced by twin-roll casting. These strips are in general so thin that they are unable to take a required reduction in thickness to close the voids. In the present investigation, equal-speed rolling and differential-speed rolling were compared to assess the effect of differential speed on closure of the voids by the rigid-plastic finite-element analysis. As a result, shear deformation developed in differential-speed rolling was found to reduce the reduction in thickness required for void closure. An increase in speed ratio, length of deformation zone, or friction coefficient at the interface expedited the progress in void closure. However, as the speed ratio exceeded thickness ratio, a portion of rolling power was dissipated extensively by excessive slip at the interface. Moreover, tensile stress developed which would cause cracks in the strip.

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“…The finite element method (FEM) has been used in the majority of numerical analyses. The FEM advantage consists in describing a large number of process variables in a short time period: distribution of effective strain and stress, load and torque rolling, raw material defects, friction hill, and damage [7][8][9][10][11][12][13] . The experimental approach serves to provide real data and is fundamental to understand the process.…”

Section: Introductionmentioning

confidence: 99%

The Analysis of the Cold Flat Rolling Process by Salf Program

Costa

Santos

2017

Mat. Res.

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SALF program is a Brazilian program developed to simulate the cold flat rolling process by the finite element method. The program uses the implicit and rigid-plastic approaches to perform numerical analyses. This article presents the cold flat rolling simulations performed by SALF, where the variables of rolling force, effective strain rate, and effective strain were analyzed. The simulations were chosen from the literature and involved materials such as steel and aluminum, with thicknesses of 1.0 mm and 3.0 mm, reductions of 5%, 16.67%, and 30%, and friction coefficients of 0.08, 0.1, and 0.3. The results showed that SALF describes the above variables appropriately in qualitative and quantitative terms. However, based on the research results, domestic steel industries may now use a national program to simulate the cold flat rolling process to improve their processes and products.

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Void closure prediction in cold rolling using finite element analysis and neural network

Cited by 39 publications

References 15 publications

A 3-D model for void evolution in viscous materials under large compressive deformation

A 3-D model for void evolution in viscous materials under large compressive deformation

Effect of Shear Deformation on Closure of a Central Void in Thin-Strip Rolling

The Analysis of the Cold Flat Rolling Process by Salf Program

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