TY  - JOUR
T1  - Experimental-Statistical Analysis and Multifactorial Process Optimization of the
Crust from Melon Pulp Separation Process
AU - Kizatova, M.Y. AU - Medvedkov, Y.B. AU - Shevtsov, A.A. AU - Drannikov, A.V. AU - Tlevlessova, D.A. 
JO  - Journal of Engineering and Applied Sciences
VL  - 12
IS  - 7
SP  - 1762
EP  - 1771
PY  - 2017
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2017.1762.1771
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2017.1762.1771
KW  - Melon
KW  -optimization
KW  -multi-factorial analysis
KW  -extraction ratio
KW  -gulab-sary
AB  - The method of the conducting an experiment on the separation of the crust from melon at the pilot unit were suggested and the search for optimal regimes of its work by statistical modeling methods were performed. The objects of study were late ripening varieties: Kalaysan, Thorley, Gulab-sary. For the study central composite rotatable uniform planning and fractional factorial experiment were used. Rational ranges of input factors values such as the ratio of the rotation frequency of the abrasive drum to the rotation frequency of the supply drum, the value of the grinding gap between the supply drum and cutting knife, the cutting knife sharpening angle, the number of supply drum spikes at grip zone, diameter of the abrasive drum hole. The planning method with the processing planning matrix in a design expert v. 10 Software module is applied to obtain regression equations that adequately describe the actual process. Their graphical interpretation is presented by curves of equal values and engineering nomograms that allow to predict a choice of rational values of input factors based on the three optimization criteria: the specific energy consumption of the cutting process, the specific performance per pulp and pulp extraction ratio (ratio of extracted pulp to the total weight of the slices).
ER  -