TITLE:
Study on the Analysis of Main Components of Aluminum Alloy by XRF (X-Ray Fluorescence Analysis) Method
AUTHORS:
Yunrui Jiang, Jie Shi, Shaoqin Li
KEYWORDS:
XRF, Aluminum Alloy, Matrix Effect, Multiple Regression Method
JOURNAL NAME:
Open Access Library Journal,
Vol.8 No.9,
September
9,
2021
ABSTRACT: Aluminum alloy has low density, good plasticity, and high strength. It has a large number of applications in many fields. The performance of aluminum alloy is closely related to its alloy composition. The rapid and accurate determination of the content of various elements in aluminum alloy is important for its production and processing. The experiment is based on the energy dispersive X-ray fluorescence analysis method, and analyzes the main elements in the aluminum alloy samples with different composition. The best working mode and the best measurement time of different elements are determined among the partitions. The data measured in the experiment were compared and analyzed by using one-variable, two-variable, and three-variable fitting methods, and the best multiple fitting method for different elements was determined. After ternary fitting, the average absolute errors for Al, Mg, and Si are 0.040%, 0.027%, and 0.007%, respectively, and the average relative errors are 0.040%, 2.111%, and 0.469%, respectively; after binary fitting, the average absolute errors for Cu and Zn are 0.001% and 0.001%, and the average relative errors are 0.061% and 0.070%. The average absolute errors of Zn are 0.001% and 0.001%, and the average relative errors are 0.061% and 0.070%, respectively. The experimental results prove that the XRF method can be applied to the accurate measurement of the main components of aluminum alloy.