Mixing of Solids in different mixing devices (CROSBI ID 146763)
Prilog u časopisu | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Bauman, Ingrid ; Ćurić, Duška ; Boban, Matija
engleski
Mixing of Solids in different mixing devices
The aim of this paper was to examine the effects of changing the component ratio on the quality of mixing and on the subsequent final product obtained from these mixtures. The experiments were conducted on two and three component mixtures of granulated and powder materials. The mixtures were made by using the TURBULA® Shaker Mixer which is a tumbler mixer with a figure-of-eight three dimensional motion. The use of this kind of mixer is much more reliable and simpler than the use of barrel mixers, v-blenders, double cone blenders, or ribbon mixers, which have segregation zones and longer mixing times. Soya flakes were selected as the granulated material while powder materials were wheat and corn flour. Different ratios of granulated and powder materials were used as the basis for the production of final products. The selection of these materials allowed the creation of high protein breads as final products of the experiment. By producing such specific products, it was possible to monitor the impact of multi-component mixing on nutritional and organoleptic characteristics, as well as the economic significance of various energy requirements needed during the experiments. Organoleptic characteristics of the final products were measured using standard sensory evaluation procedures. By collecting all the tests data and by doing a global statistical analysis, it was possible to extrapolate new data from which a more refined final product could be predicted based on nutritional and organoleptic optimization without the need of numerous repetitive testing. Furthermore, an economic impact of a large-scale production of such a product could be ascertained by assessing the duration rates and different speed values required for the proper initial mixing of components. Statistical data analysis was made using Microsoft Excel. Extrapolation of new data was made using a custom written form of FORECAST and other statistical functions.
blending; flowability; mixer; parametric statistic
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