“…In most regions, steady-state deformation is not achieved. If the hyperbolic sine function is applied, it is believed that the rolling load would be over-predicted [15]. Fig.…”
Section: Results Analysis and Discussionmentioning
confidence: 99%
“…The reported equation for the calculation of t 0.5 for AA5083 in the literature is given by [19] t 0.5 = 2.7 × 10 −10 d 2.45 0 (9.75 + 3.82ε 2 ) −1 Z −0.58 × exp 183 000 GT a (15) where d 0 is the initial grain size, and T a is the annealing temperature.…”
Section: Strain Path and The Microstructure Evolutionmentioning
“…In most regions, steady-state deformation is not achieved. If the hyperbolic sine function is applied, it is believed that the rolling load would be over-predicted [15]. Fig.…”
Section: Results Analysis and Discussionmentioning
confidence: 99%
“…The reported equation for the calculation of t 0.5 for AA5083 in the literature is given by [19] t 0.5 = 2.7 × 10 −10 d 2.45 0 (9.75 + 3.82ε 2 ) −1 Z −0.58 × exp 183 000 GT a (15) where d 0 is the initial grain size, and T a is the annealing temperature.…”
Section: Strain Path and The Microstructure Evolutionmentioning
“…The roll is assumed to be a rigid body according to the usual assumption in hot rolling process. [12][13][14][16][17][18][19] Consequently, although the real process is 4-high mill, the FEM simulator can be constructed as a 2-high mill owing to this assumption. It is also reported that more accurate results can be obtained when the elasticity is considered at the surface of roll.…”
In hot rolling processes, the rough rolling process is an essential step for making the medium size bar for final strip products. After rough rolling, the bar usually has longitudinal bending called camber owing to several reasons. Camber should be reduced because it may cause various problems including clogging of finishing mill and strip edge folds. The difficulties to designing a camber-reducing controller are to have a good mathematical model of the rolling process and, consequently, lack of an appropriate validation scheme of the designed control algorithm before applying it to a real system. In this paper, a threedimensional simulator for the rough rolling process using FEM (Finite Element Method) is constructed. An output feedback fuzzy controller that does not require a mathematical model is then designed to reduce camber including the lateral bar movement called side-slipping by tilting the roll. A FEM simulation combined with the proposed controller is carried out to show the effectiveness of this scheme. The results show that camber and side-slipping can be effectively reduced while achieving a reasonable wedge profile.
“…Predicted roll force and torque were compared with the experimental results. Duan and Sheppard [5] used a thermo-mechanical finite element model to study the hot rolling process for aluminum alloy. Considering the friction boundary as a variable, an inverse analysis were carried out to match the predicted rolling force and torque with the experimental results.…”
Studies on the effect of strain path during rolling has been carried out for a long time, but the same has not been done using Finite Element Analysis (FEA). Change in strain path affects the state variables in the rolled plate like stress, strain, temperature etc. In the current work, Finite Element Analysis for cross rolling of AISI 304 austenitic stainless steel has been carried out by rotating the plate by 90°in between the passes. To analyze stress and strain fields in the material for cross rolling, a full 3D model of work-roll and plate has been developed using rigid-viscoplastic finite element method. The stress and strain fields, considering von-Mises yield criteria, are calculated by using updated Lagrangian method. In addition to these, the model also calculates the normal pressure and strain rate distribution in the plate during cross rolling. The nature of the variations of stress and strain fields in the plate, predicted by the model, is in good agreement with the previously published works for unidirectional rolling.
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