Fracture Criterion Calibration and Finite Element Simulation in SUS304 Stainless Steel.

In order to calibrate the ductile fracture criterion in SUS304 stainless steel, four tensile samples were designed, their finite element models were established, and uniaxial tensile tests were carried out. The simulation results were compared with the tests. Due to the limitations of finite element software, only a few criteria can be solved in MENTAT of MSC.

Reliability Prediction of Near-Isothermal Rolling of TiAl Alloy Based on Five Neural Network Models.

The near-isothermal rolling process has the characteristics of multi-variable and strong coupling, and the industrial conditions change constantly during the actual rolling process. It is difficult to consider the influence of various factors in industrial sites using theoretical derivation, and the compensation coefficient is difficult to accurately determine. The neural network model compensates for the difficulty in determining the compensation coefficient of the theoretical model.

Application of Mean Modulus in Three-Point Bending and Roll Forming.

Nonlinear unloading plays an important role in predicting springback during plastic forming process. To improve the accuracy of springback prediction which could provide a guide for precision forming, uniaxial tensile tests and uniaxial loading-unloading-loading tensile tests on SUS304 stainless steel were carried out. The flow stress mathematical model and chord modulus mathematical model were calibrated according to the test results.