Cold Rolling Texture Prediction Using Finite Element Simulation with Zooming Analysis

Abstract

Cold rolling is widely employed in the manufacturing industry for the production of metal plates. In the cold rolling process, the thickness reduction of the metal plate under the recrystallization temperature generates severe anisotropy; this influences the subsequent forming processes. Therefore, the generation and prediction of metal plate anisotropy during cold rolling is a highly interesting research topic involving upstream studies of sheet metal forming. In this study, using the finite element method with zooming analysis, we established an efficient elastic–plastic analysis method to predict the metal plate texture after cold rolling. This method for cold rolling texture prediction was confirmed by comparing the experimental and simulation results of cold rolling for an S45C plate with a body-centered cubic lattice. Further, the numerical analysis method proposed in this study can contribute to the study of anisotropy as an alternative to experimental approaches.

Modeling and Simulation of Steel Rolling with Microstructure Evolution: An Overview

“…The representative isotropic yield function is the Von Mises, and the anisotropic yield function is Hill-48, for their simplicity. [88][89][90] The boundary conditions for the rolling process are applied to the created geometrical model. Before application of boundary conditions, the selection between implicit or explicit analysis is important.…”

“…The representative isotropic yield function is the Von Mises, and the anisotropic yield function is Hill‐48, for their simplicity. [ 88–90 ]…”

Investigation of materials flow during the manufacturing process by experimental evidence and numerical approaches

“…The models can be extended by crystallographic and texture calculations for determining the anisotropic and general mechanical properties of the deformed material. Examples for applying the FEM to modeling the rolling process can be found in literature [1, 3,5,49,50,52,53,[62][63][64][65][66][67][68].…”

Numerical simulation analysis of the rolling process based on the particle swarm hybrid algorithm

“…The paper analyses the load distribution that produces ramp-wave defects and verifies the load distribution combined with finite element simulation. In order to predict the texture of sheet metal after cold rolling, Wang studied the scaling analytical finite element method and established an effective elastic-plastic analysis model on this basis [12]. Based on the body-centred cubic lattice S45C steel plate, the article verifies the accuracy of the cold-rolled texture prediction of the S45C steel plate by comparing and analysing the experimental data and the simulation data.…”