Abstract: A device of regulating a melting speed of an aluminum alloy smelting furnace burner. The device includes: a natural-gas flow-rate regulating assembly, an air flow regulating assembly; a natural gas burner, connected to the natural-gas flow-rate regulating assembly and the air flow regulating assembly and mounted in a melting zone of the melting furnace to melt aluminum alloy into an aluminum liquid; a scum filtration assembly, including a ceramic tube connected to a ceramic filter cylinder, a foam ceramic filter plate being merged in an aluminum liquid thermal-insulation pool; a rangefinder, mounted above the scum filter assembly; a controller for obtaining weights of the aluminum liquid corresponding to two adjacent time points, obtaining the actual melting speed according to a difference in the weights, and regulating the flow rate of the natural gas and the air flow to adjust the actual melting speed to reach a target melting speed.

Abstract: A data mining-based method for real-time production quality prediction of aluminum alloy casting, includes: (1) based on mold flow analysis results, installing sensors on a casting mold; wherein the sensors include at least one temperature sensor, at least one pressure sensor, at least one contact sensor, and a multi-functional gas sensor; (2) during casting production, real-time collecting temperatures, pressures, and contact times of the aluminum liquid at a plurality of locations of the casting mold, and pressure, composition, humidity, and temperature of gas in a mold cavity, by the installed sensors, for constructing an aluminum alloy casting process parameter set; and (3) inputting the process parameter set to a production quality prediction model; wherein the production quality prediction model is used to judge whether the production quality is qualified, which is obtained by mining a relationship between history casting process parameters and casting quality data.