A rapid classification and detection method for metal materials based on quantitative analysis of characteristic elements
A metal material, quantitative analysis technology, applied in the direction of analyzing materials, material inspection products, testing metals, etc., can solve problems such as time-consuming, large instruments, and excess, and achieve fast speed, high classification accuracy, and cost and time reduction. Effect
Active Publication Date: 2019-07-23
北京中实国金国际实验室能力验证研究有限公司
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However, the application of traditional spectral analysis methods takes a long time, and the instrument is large and heavy
For example, the Chinese invention patent application "Correction Method for Spectral Line Interference in Spark Source Atomic Emission Spectroscopy" filed by the applicant of the present application, application number: No. 201410638489.5 The traditional detection method of spark emission spectroscopy disclosed in the actual analysis When taking a sample, the software automatically calibrates and analyzes the sample. The time from setting out to outputting the analysis result is usually 30 seconds, which is far beyond the real-time requirements of fast sorting for measurement. Although it can accurately determine the composition of scrap metal, it cannot be achieved. Online mass inspection
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[0067] In this example, three series of aviation aluminum alloys 2XXX series, 7XXX series and cast aluminum A356 were selected for classification analysis. The 2XXX series aluminum alloy mainly has the highest copper content, and its main goal is to obtain higher hardness, which is suitable for aerospace structural parts. The main alloying elements of 7XXX series aluminum alloys are zinc and magnesium, and its main goal is to obtain higher strength, which is suitable for aircraft frames and high-strength accessories. A356 alloy is a typical aluminum-silicon-magnesium ternary alloy, a cast aluminum alloy with excellent comprehensive properties, suitable for various casings, aircraft pump parts, aircraft connectors, etc. According to the content ranges of the elements of the 2XXX series, 7XXX series and A356 series of aviation aluminum alloys listed in Table 1, it can be seen that there are large differences in the contents of Cu, Zn, Mg and Si. Therefore, Cu, Zn, Mg, Si is use...
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The invention belongs to the technical field of material classification detection, and particularly relates to a metal-material quick classification detection method based on characteristic-element quantitative analysis. The method includes the following steps that (1) characteristic analysis elements are determined; (2) training sample sets are established; (3) a multi-dimensional classification distribution model is established and optimized; (4) practical samples are detected; (5) the result is substituted into model parameters, classification information of the practical samples is determined. According to the method, the rule can be researched by obtaining the content information of characteristic elements, the multi-dimensional classification distribution model is established, and accurate and quick classification analysis of the large-scale metal samples are achieved.
Description
technical field [0001] The invention belongs to the technical field of material classification and detection, in particular to a method for rapid classification and detection of metal materials based on quantitative analysis of characteristic elements. Background technique [0002] Due to the corrosion, damage and natural elimination of metal products, a large amount of scrap metal is produced every year, especially in developed countries that have achieved industrialization for a long time. Proper treatment and recycling of scrap metal not only protects the environment, saves precious metal resources, but also brings huge economic benefits. It is estimated that recycling a discarded aluminum can saves 20% of the funds and 90% to 97% of energy compared with making a new one; recycling 1 ton of scrap iron and steel can produce 0.9 tons of high-quality steel, which is equivalent to using ore Compared with smelting, it can save 47% of the cost, and it can also reduce air pollu...
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IPC IPC(8): G01N33/2028
CPCG01N33/20
Inventor 沈学静刘佳吴菡申睿王辉姚君邓小娟
Owner 北京中实国金国际实验室能力验证研究有限公司