Open AccessAnalysis of influencing factors of data error in chemical analysis of iron and steel materials
Author(s) -
Yilong Bai,
Yanqing Wu
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2133/1/012017
Subject(s) - sample (material) , factor (programming language) , statistics , reagent , table (database) , computer science , decomposition , error analysis , data mining , mathematics , chemistry , chromatography , organic chemistry , programming language
This paper analyzes the influencing factors of data error in chemical analysis of iron and steel materials, including sample preparation factor, sample decomposition factor, analytical instrument factor, reagent factor, analysis method factor. The purpose is to reduce the error of data measurement results and improve the accuracy of data analysis results by studying the measures of eliminating instrument application error, doing a good job in reagent selection, appropriately increasing the number of experiments, strictly following the operation specifications and reasonably using the allowable deviation table.