Compositional Analysis of Cement Raw Meal by Near-Infrared (NIR) Spectroscopy

Abstract

A rapid and accurate method is presented to determine CaCO₃, SiO₂, Fe₂O₃, and Al₂O₃ in cement raw meal using near-infrared (NIR) spectroscopy. Multiplicative scatter correction (MSC) was employed to eliminate the scattering signal and partial least squares (PLS) regression was used to build the analysis model. The results demonstrated good performance by this approach for the determination of CaCO₃, SiO₂, Fe₂O₃, and Al₂O₃. NIR spectroscopy exhibits the feasibility to characterize the quality of cement raw meal. Compared with prompt gamma neutron activation analysis (PGNAA) and X-ray fluorescence (XRF), this method is more efficient and safer.

Keywords:

• Cement raw meal
• compositional analysis
• multiplicative scatter correction (MSC)
• near-infrared (NIR) spectroscopy
• partial least squares (PLS)

Additional information

Funding

This work was funded by the National Natural Science Foundation of China (No. 11504201), Jiangsu Provincial Natural Science Foundation, China (BK20141222), and Shandong Keypoint Research and Invention Program (2017CXGC0610).