Research on the Calorific Value Detection Method and Influencing Mechanism of Solid Materials Via Edxrf

Abstract

Traditionally, calorific value detection has relied on laboratory methods; however, there is a notable lack of techniques that facilitate rapid detection in industrial applications. This paper proposes a method utilizing EDXRF for the rapid determination of calorific values. The leaching slag and coke mixture produced during the zinc smelting process serves as a case study to demonstrate this approach. This investigation focused on the detection of calorific values in complex solid materials via X-ray fluorescence, with the key factors and principles that influence the stability and accuracy of the method. The results indicate that (1) Quantitative analysis of calorific values by X-ray fluorescence detection allows numerical relationships of calorific values to be plotted between the total spectral count rate, the Compton scattering peak intensity (Mo-Ka-C), and the Rayleigh scattering peak intensity (Mo-Ka).(2) Factors such as raw material particle size, water content, and instrumental parameters significantly influence detection stability. Moisture is the key factor to affect EDXRF detecting stability. As the water content increases from dry to 30 wt.%, the correlation coefficient between the total count and the calorific value decreases from 0.8901 to 0.50342. (3) A predictive model is established for correlating the Mo–Ka–C intensity with the calorific value of the leaching slag mixtures. This model predicts a root mean squared error (RMSEP) of 0.59 MJ/kg and an average relative deviation (ARE) of 4.24%, demonstrating improved prediction accuracy for estimating the calorific value of leaching slag. The standard deviation (SD) of the predicted calorific value of the leaching slag was 0.11 MJ/kg, which was better than the national standard in terms of repeatability.

Keywords: EDXRF, Calorific value, Mechanisms of influence, Predictive modelling, Zinc leaching slag