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Optimization of PGNAA device and algorithm for testing basicity index of sinter mixture 被引量:3

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摘要 Sinter is the main raw material in the blast furnace iron-making process,and basicity(CaO/SiO2)is an important quality index of sinter.Prompt gamma neutron activation analysis is a multi-elemental online detection technology that has been successfully applied in cement,coal,etc.Compared with cement as a raw material,sinter exhibits poor moderation ability and a large neutron absorption cross section.Therefore,cement detection devices are not suitable for sinter mixture detection.In this study,a prompt gamma neutron activation analysis equipment used for testing cement was re-optimized to render it suitable for measuring a sinter mixture.Using Monte Carlo simulation,the comprehensive detection efficiency of the detection device improved by 71.52%.Because of the gamma-ray self-shielding effect of the sinter mixture,the detection errors of CaO and SiO2 are significant.By applying the gamma-ray self-shielding correction algorithm,the detection accuracies improved,and their linear correlation coefficients R2 exceeded 0.99.Furthermore,by applying an improved analyzer to a sintering plant,the first-grade product rate of the factory increased by 4.64%.
出处 《Nuclear Science and Techniques》 SCIE EI CAS CSCD 2021年第1期46-57,共12页 核技术(英文)
基金 This work was supported by the National Key Scientific Instrument and Equipment Development Projects(No.2012YQ240121) Liaoning Science and Technology Project(No.2017220010) the Major Special Science and Technology Plan of Liaoning Province in 2020(No.2020JH1/10100009).
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