Multi-process parameter optimization method for low-pressure casting of aluminum alloy wheel hubs

A multi-process parameter optimization method for low-pressure casting of aluminum alloy wheel hubs, comprising:

• step S1:
• building a three-dimensional model of an aluminum alloy wheel hub, wherein information contained in the three-dimensional model comprises a geometric shape and a size of the aluminum alloy wheel hub;
• step S2:
• setting initial production process parameters, wherein the initial production process parameters comprise a quantity of cooling channels, a type of a cooling medium, and a flow rate in the cooling channels;
• step S3:
• numerically simulating a low-pressure casting process, wherein the low-pressure casting process is numerically simulated by using computer-aided software and inputting attributes of an aluminum alloy material, a casting temperature, and a pre-heating temperature of a mold;
• step S4:
• analyzing temperature distribution in key points of the mold, observing an isolated liquid phase region and temperature distribution in the aluminum alloy wheel hub based on simulated porosity defects and temperature distribution results, adjusting the initial production process parameters such as the casting temperature of the aluminum alloy wheel hub and the pre-heating temperature of the mold, and designating the process parameters for simulated aluminum alloy wheel hub castings with minimum defects for actual production;
• step S5:
• adjusting the production process parameters based on the temperature distribution;
• step S6:
• repeating steps S3 to S5 to further optimize the production process parameters and obtain an optimal combination of process parameters;
• step S7:
• collecting and analyzing actual production data and building a model;
• and
• step S8:
• optimizing the process parameters by using a dynamic multi-objective particle swarm.