Aluminum alloy casting and smelting process online detection and data application method and system

Abstract

The invention discloses an aluminum alloy casting and smelting process online detection and data application method and system. The online detection and data application method comprises the steps: A,sampling a solution and sending the sample solution to a hydrogen measuring system and pouring area; B1, measuring the hydrogen content in the sample solution, displaying the result and determining whether to perform secondary degassing refining; B2, sending the pouring sample to a field composition detection system, wherein the field composition detection system detects the chemical element composition in the pouring sample, displays the result and determines whether the chemical element composition needs to be adjusted; and C, performing temperature measurement on the casting and melting process of the aluminum alloy, displaying the result and determining whether the temperature needs to be adjusted. The method is applied to the casting and melting process of the aluminum alloy, the detection automation degree is high, the detection period of key parameters is short, the data result is stable and reliable and the practical value of production and application is high; the casting andsmelting process of the aluminum alloy is always controlled, the product quality and reliability are improved and the production efficiency is high.

Description

technical field [0001] The invention particularly relates to an on-line detection and data application method and system for an aluminum alloy casting and smelting process. Background technique [0002] Driven by the innovation and development of science and technology, the detection technology of industrial parts has also developed rapidly. Especially in recent years, on the basis of traditional detection technology, new detection principles and methods have emerged continuously, combining automation, Intelligent, real-time and process-based means, various advanced detection technologies and instruments have been developed and successfully applied to the production and manufacturing process, realizing the online detection and control of key parameters in the quality control of parts manufacturing process and process parameters, reaching The goal of improving product production efficiency and quality. [0003] Due to the complicated production process and long process of al...

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Problems solved by technology

[0008] The purpose of the present invention is to provide an aluminum alloy casting smelting process online detection and data application method and system to improve the automatic online detection ability, quality control means, and quality data management of the aluminum alloy casting production process. Efficiency is the basic requirement, especially for key points such as molten metal composition, hydrogen content, process temperature, process parameters, environmental parameters, and equipment parameters in the aluminum alloy casting and smelting process. Based on real-time online detection technology, the first-hand Data and information, combined with big data analysis to realize deep mining and utilization of detection data, in turn guide and improve product optimization design and simulation, structural calculation and analysis, and material genes, form a closed-loop control adjustment for manufacturing process improvement, and solve aluminum alloy casting Improve the quality of aluminum alloy castings due to the low degree of automation in the detection process of the smelting process, the long detection cycle of key parameters, and weak data management.

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