DETECTING POWDER MIXTURE SEGREGATION FOR MULTICOMPONENT MIXTURES

Rollins et al. (1995, Powder Technol. 84, 277-282), showed the superio rity of the analysis of variance technique (ANOVA) over the mixing ind ex approach in the detection of segregation in binary powder mixtures. In industry, a common problem is determinating the level of segregati on in a multicomponent mixture. This article compares the performance of multivariate analysis of variance (MANOVA) technique to that of mul tivariate indices. Using a Monte-Carlo simulation study, the technique s performances are evaluated for varying levels of segregation, betwee n species (intra) correlation, level of measurement error and level of test significance. (C) 1998 Elsevier Science Ltd. All rights reserved .