Development the Numerical Analysis Method to Predict the Microstructure Evolution in Multi-pass Hot Rolling Process

• Main Authors: Wei-lu Lee, 李威陸
• Other Authors: none
• Format: Others
• Language: zh-TW
• Published: 2010
• Online Access: http://ndltd.ncl.edu.tw/handle/90369361564035115159

碩士 === 國立中正大學 === 機械工程所 === 98 === In the hot rolling, material properties will result in work hardening via plastic deformation under the different processing conditions, it also results in the changing of average grain size and flow stress and recrystallization effect. Work hardening and recrystallization behavior will affect the mechanical properties of materials. Therefore, if we can predict the microstructure evolution in the hot rolling process by numerical analysis method, it will be able to precisely control the mechanical properties of steel after hot rolling, shorten the test time of hot rolling parameters and reduce the cost of production. In our research, we construct a numerical analysis method base on incremental formulation in multi-pass hot rolling process and use the Visual C++ software to establish a computer analysis simulation model which can run online. With average grain size and stress-strain curves from the calculations, we can predict the microstructure evolution of steel in multi-pass hot rolling process. Particle swarm optimization was combined with incremental formulation to adjust the material paramaters of steel, therefore the developed incremental formulation could applied to predict the microstructure evolution in multi-pass hot rolling process.