Optimization of hot forming process of automobile forgings by simulation is an efficient method, which can improve production efficiency and product quality. The following are the specific steps: Determine the material model: First of all, you need to determine the material used in the automobile forging, and establish the corresponding constitutive model. It is necessary to obtain mechanical properties data of materials through experiments or literature research, and then select appropriate constitutive models according to these data, such as elastoplastic model, thermoplastic model, etc. Build a geometric model: according to the geometric shape of the automobile forging, the use of CAD software or other modeling tools for three-dimensional modeling. Ensure the accuracy and integrity of the model, including shape, size and boundary conditions. Grid division: The geometric model is discretized to generate a computational grid. The division of the grid needs to be adjusted to the specific problem, and it is usually necessary to ensure that the grid is detailed enough to capture important physical phenomena, while avoiding excessive refinement that leads to excessive computation. Define the boundary conditions: According to the specific hot forming process, define the boundary conditions, including heating temperature, pressure application method, time and speed. These boundary conditions determine the thermodynamic behavior during the hot forming process of automobile forgings. Simulation calculation: Using professional finite element software, such as ABAQUS, ANSYS, etc., to simulate the hot forming process of automotive forgings. According to the established model and the set boundary conditions, the temperature field, strain field and stress distribution under the given process parameters are solved. Analysis results and optimization: According to the results of simulation calculation, evaluate and analyze the thermal forming effect of automobile forgings. According to the design requirements and the actual production situation, the process parameters are adjusted and optimized to achieve the best forming effect and product quality. Verification and experiment: Through the verification experiment of the optimized process parameters, the consistency of the experimental results and the simulation calculation results is compared to verify the accuracy and reliability of the simulation calculation. In conclusion, the use of simulation to optimize the thermal forming process of automotive forgings can provide the ability to predict and optimize the production process, reduce test costs and cycles, while improving product quality and production efficiency.
