The numerical simulation of precision forging is to track and describe the forming process of the blank metal of the spiral bevel gear through the computer in real time, and display it intuitively on the computer screen, so as to predict the forming quality of the spiral bevel gear and the influence of the die design and various forming factors on the forming of the spiral bevel gear, and find the possible defects, The purpose of revealing the actual flow law of deformed metal is to provide a theoretical basis for judging whether the forming conditions and die design are reasonable.
With the rapid development of computer technology, the numerical simulation technology of metal plastic forming has been more and more widely used, and its advantages are increasingly revealed:
1) Because the numerical simulation technology can directly reflect the temperature field, velocity field, stress-strain field and other field distribution of the die and deformed body in the forming process, it can enable researchers to more comprehensively grasp the real situation of the whole metal deformation process.
2) Numerical simulation is the simulation of metal forming on computer. Compared with the physical simulation commonly used in the past, it eliminates the need to establish a real physical model, so as to reduce the production cost. In addition, in the mold design stage, numerical simulation technology can be used to simulate the production process, which is convenient to optimize the forming process and improve the mold.
3) Numerical simulation has great flexibility and can be used to simulate the behavior of the model under virtual conditions that can not be provided at present, which provides a means for exploratory research.
Through the finite element analysis software DEFORM-3D V6 The distribution of velocity field, strain field, stress field and temperature field in the precision forging process of spiral bevel gear is analyzed, and the influence of various forming parameters on the forming of spiral bevel gear is studied, so as to determine the optimal process scheme.