Using PLS and NIR spectra to model the first-breakage step of a grain milling process

Abstract

Abstract In a wheat milling process, the product quality (i.e., particle size distribution) is highly affected by the process parameters and by the wheat characteristics. Therefore, both the process settings and the wheat properties must be accounted for to model the milling operation. In this study, the information coming from near-infrared (NIR) spectra is used to characterize the wheat feed material. Using experimental data, the information coming from the spectra is used to model the first-breakage operation in a wheat milling process. A partial least-squares model of the first-breakage milling operation is developed. The model takes into account the different wheat varieties and wheat characteristics, as well as the most significant process parameters, to determine the product quality and improve process understanding.