Multivariate statistical analysis of the mixing process in the preparation of feed additives based on beet pulp

Abstract

Beet pulp is the main by-product of the sugar industry, obtained by the traditional technology of sugar production. Pulp is used for livestock feed in fresh, sour and dry form. Molasses is the second by-product. It is a dark brown viscous liquid. It thickens and loses fluidity at low temperatures (below 10 ° C). Its viscosity depends on the heating temperature to a large extent. Caramelization of sugars occurs with increasing temperature in molasses, i.e., their transformation into a solid crystalline mass takes place. Molasses is used in the feed industry for granulating and briquetting feeds as a binding ingredient. When molasses is introduced into dried beet pulp, the mixture becomes very viscous, which complicates mixing. High demands are made on the mixing of the components of feed briquettes, since upon obtaining such products this process should ensure its high uniformity and stability. In the technological processes for the manufacture of feed mixtures, the initial task is the operation of the components mixing, the results of which affect the eatability and digestibility of feed. The task of mixing is to obtain the best mixture uniformity. This process takes a lot of time and therefore has a large energy consumption. To solve this problem, we offer a mixer with 3 chambers with different working elements, each of which has different elementary mixing processes: convective mixing, diffusion mixing and segregation. The choice of rational parameters of the mixing process will ensure the high quality product with minimal energy costs..