Using simulation and optimization technology to improve the design of automobile forgings can improve the performance, reliability and cost effectiveness of forgings. The following are some common methods and steps: Geometric parameter optimization: Using computer aided design (CAD) software and finite element analysis (FEA) tools, the geometry of the forging is optimized. By adjusting parameters such as shape, size and holes of the forging, the performance indexes such as stress distribution, stiffness and weight can be improved. Material selection optimization: Evaluate and compare the properties of different materials through material mechanical properties database and simulation software. According to the working environment and requirements of forging, the most suitable material is selected to achieve performance optimization and cost control. Heat treatment simulation optimization: Using heat treatment simulation software, the organization and performance of forging under different heat treatment process conditions are simulated and predicted. By optimizing the heat treatment process parameters, such as heating temperature, holding time and cooling rate, the key properties such as strength, toughness and corrosion resistance of the forging can be improved. Simulation extrusion and forging process optimization: Process conditions are optimized using numerical simulation software for extrusion and forging. By adjusting extrusion speed, temperature, strain rate and other parameters, the formability of forgings can be improved and the risk of defects and deformation can be reduced. Multi-objective optimization: The use of multi-objective optimization algorithm, comprehensive consideration of forging multiple performance indicators, such as strength, toughness, weight and cost. By weighing the weights of different indicators, we can find the best combination of design parameters to meet the design requirements of automobile forgings with different needs. It should be noted that the application of simulation and optimization techniques requires the establishment of accurate mathematical models and reliable material performance data, and also requires experimental verification and process adjustment to ensure the accuracy and feasibility of the results. In addition, different automotive forgings design projects may require different optimization methods and tools, so they need to be selected and applied according to the specific situation.
