The significance of forging process optimization

2019-03-16 11:06:20 12

In actual forging production, when the geometry of the forging is complicated or the traditional design method has limitations, the unreasonable forging process and mold design may make the internal structure, appearance shape or surface quality of the forging not meet the specified technical requirements, sometimes There are even serious forming defects such as filling dissatisfaction, surface folds, internal or surface cracks, and the like. In addition, unreasonable design can lead to serious material waste and low mold life.

As competition intensifies, low cost, high quality and high efficiency are the goals pursued by the manufacturing industry. In order to reduce manufacturing costs and improve product quality, it is necessary to optimize various process parameters that affect the quality of forgings during the forging process. The forging process involves complex geometric and physical changes. It is difficult to achieve the desired results by traditional design optimization methods, and only the comparison of design schemes and the continuous improvement of a certain process can not be separated from physical experiments. With the continuous development and improvement of modern computer technology and plastic finite element theory, the numerical simulation method based on finite element method has been successfully applied to the deformation law of plastic forming process and the numerical prediction of multiphysics, the actual process and Mold design provides reliable virtual verification. Therefore, the application of numerical simulation based design optimization in forging process and mold design is not only possible but also inevitable.

The forging intelligent design system, finite element analysis software and optimization algorithm are used as three relatively independent modules. Through the automatic transmission and integration of information, the automatic optimization technology system of complex forging process with actual process parameters as design variables is established. By selecting different design variables, optimization targets and optimization algorithms, the automatic optimization of the 2D and 3D forging process is realized, and remarkable results are obtained.