Aluminum alloy processing technology optimization method and application thereof

Abstract

The invention discloses an aluminum alloy machining process optimization method and application thereof. According to the optimization method, an optimization model is established, the optimization model determines the optimal hot machining process parameters of an alloy by establishing the relation between a Z parameter and a material microstructure, and in some specific implementation modes, model parameters are obtained through recrystallization behaviors and deformation mechanisms of the aluminum alloy in the thermal deformation and heat treatment process, and a complete, systematic and reliable model building method is formed, so that the quality and performance of products can be effectively controlled in the production process, prediction and control over the microstructure and performance of the aluminum alloy, especially the Al-Mg-Si aluminum alloy in the hot forging process are achieved, and the production efficiency and the product quality are improved.

Description

technical field [0001] The invention relates to the field of Al-Mg-Si series aluminum alloys, in particular to a method for improving the grain structure uniformity of Al-Mg-Si series aluminum alloys by optimizing thermal deformation parameters. Background technique [0002] Aluminum alloys, especially Al-Mg-Si series aluminum alloys, are widely recognized for their excellent properties, such as high strength-to-weight ratio, appropriate corrosion resistance, appropriate formability, and low cost. Compared with castings, aluminum alloy forgings have higher toughness and fatigue resistance due to their fibrous grain structure. Therefore, they are widely used in aerospace, automotive and train structural components to reduce weight and thus reduce fuel consumption. [0003] During the processing of Al-Mg-Si alloys, solution and aging heat treatments are usually required to induce precipitation strengthening after hot deformation, but during the subsequent heat treatment, the ...

AI Technical Summary

Problems solved by technology

In general, the latter should be avoided as much as possible, because it will cause a small number of grains in the sample to grow discontinuously in local areas, thereby forming the largest grains, and the prior art cannot control the grains of aluminum alloy materials during heat treatment organization, and it is difficult to predict whether the secondary recrystallization phenomenon will occur during the heat treatment process. It is necessary to obtain optimized process parameters through repeated experiments. The process is complex, the experimental design is difficult, and the cost is high.

Images