Determination of a quantitative relationship between material properties, process settings and screw feeding behavior via multivariate data-analysis

In this study, a quantitative relationship between material properties, process settings and screw feeding responses of high-throughput feeder was established via multivariate models (PLS). Thirteen divergent powders were selected characterized for 44 property descriptors. During volumetric trials, the maximum feed capacity (FCCmax), relative standard deviation on (RSDFCmax), short term variability (STRSD) decay (FCdecay) determined. The gravimetric trials generated values mass flow rate (RSDLC), refill (Vrefill RSDrefill). developed PLS elucidated that properties clearly correlated to behavior. extended pointed out there significant influence chosen type speed process. Furthermore, could be optimized by reducing through application filters, high frequency vibrations, independent agitator control top-up systems. Overall, allow prediction performance wide range materials based characterization subset greatly number required experiments.