Mathematical modeling of the various factors influence on the efficiency of type "a" starch precipitation in a centrifugal field

Wheat starch production is a rather complex and energy-consuming process.For further optimization of this process, it is worth conducting mathematical modeling of the efficiency of type "A" starch precipitation in a centrifugal field depending on the influence of various factors.The main factors were selected as the amount of input raw materials, the frequency of the centrifuge drum rotation and the differential drum screw rotation speed.The mathematical model was based on the construction of a regression equation and its study for adequacy.The basis was a full-factorial experiment N=23.The number of duplicate experiments was m=3.All subsequent studies concerned the normalized regression equation, to which the transition was made by coding the input factors.Initially, a successful input data check for the absence of gross errors was carried out based on the application of the Cochrane criterion.The obtained coefficients of the regression equation were empirical in nature, therefore they were tested for significance based on the Students t-test.The significance test of each of the regression equation coefficients showed that only the coefficients b0, b1, b2, b3 and b23 were significant, on the basis of which the final normalized regression equation was obtained.The adequacy of the final normalized regression equation to the actual process was checked using the Fisher criterion.There are several approaches to applying the Fisher criterion to this class of problems.The paper considered the main ones and proposed, in the authors opinion, the most adequate implementation option for applying this criterion.After successfully checking the normalized regression equation for adequacy, the transition from coded values to natural values was made and the total error of the experiment was calculated.