Multi-criteria optimization of the flesh melons skin separation process by experimental and statistical analysis methods

• Main Authors: Y. B. Medvedkov, M. E. Kizatova, A. A. Shevtsov, A. S. Muravev
• Format: Article
• Language: Russian
• Published: Voronezh state university of engineering technologies 2016-07-01
• Series: Vestnik Voronežskogo Gosudarstvennogo Universiteta Inženernyh Tehnologij
• Subjects: melon; optimization; melon pulp; response surface analysis
• Online Access: https://www.vestnik-vsuet.ru/vguit/article/view/899

Research and innovation activity to create energy-efficient processes in the melon processing, is a significant task. Separation skin from the melon flesh with their subsequent destination application in the creation of new food products is one of the time-consuming operations in this technology. Lack of scientific and experimental base of this operation holding back the development of high-performance machines for its implementation. In this connection, the technique of the experiment on the separation of the skins of melons in the pilot plant and the search for optimal regimes of its work methods by statistical modeling is offered. The late-ripening species of melon: Kalaysan, Thorlami, Gulab-sary are objects of study. Interaction of factors influencing on separating the melon skins process is carried out. A central composite rotatable design and fractional factorial experiment was used. Using the method of experimental design with treatment planning template in Design Expert v.10 software yielded a regression equations that adequately describe the actual process. Rational intervals input factors values are established: the ratio of the rotational speed of the drum to the abrasive supply roll rotational frequency; the gap between the supply drum and the shearing knife; shearing blade sharpening angle; the number of feed drum spikes; abrading drum orifices diameter. The mean square error does not exceed 12.4%. Regression equations graphic interpretation is presented by scatter plots and engineering nomograms that can be predictive of a choice of rational values of the input factors for three optimization criteria: minimal specific energy consumption in the process of cutting values, maximal specific performance by the pulp and pulp extraction ratio values. Obtained data can be used for the operational management of the process technological parameters, taking into account the geometrical dimensions of the melon and its inhomogeneous structure.