Journal of Engineering and Applied Sciences

Year: 2017
Volume: 12
Issue: 7
Page No. 1762 - 1771

Experimental-Statistical Analysis and Multifactorial Process Optimization of the Crust from Melon Pulp Separation Process

Authors : M.Y. Kizatova, Y.B. Medvedkov, A.A. Shevtsov, A.V. Drannikov and D.A. Tlevlessova

Abstract: 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).

How to cite this article:

M.Y. Kizatova, Y.B. Medvedkov, A.A. Shevtsov, A.V. Drannikov and D.A. Tlevlessova, 2017. Experimental-Statistical Analysis and Multifactorial Process Optimization of the Crust from Melon Pulp Separation Process. Journal of Engineering and Applied Sciences, 12: 1762-1771.

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