Published in Scientific Papers. Series "Management, Economic Engineering in Agriculture and rural development", Vol. 25 ISSUE 1
Written by Tarek FOUDA

Mathematical and prediction models provide solutions for designing machines and help determine the design factors for many models of different capacities and sizes. Fish oil extrusion machines play a crucial role in the production of fish oil, a valuable commodity widely used in various industries, including pharmaceuticals, food, and cosmetics. The design and performance of these machines significantly impact the efficiency and quality of fish oil extraction processes. In this study, we explore the predictive outcomes of scaling up design of a fish oil extrusion machine by different capacities and sizes. This scaling-up process aims to assess the feasibility and potential benefits of increasing the size and capacity of the extrusion machine. The results obtained from the program provided a lot of data on the geometric design of different sizes and capacities of the cold-press fish oil extraction machine. the mathematical model was predicted with design specifications as the hopper volume, discharge rate, capacity of screw conveyor, in the barrel, diameter of shaft, and power required by screw conveyor of the extruder based on the main dimensions, inlet diameter, hopper outlet size, and hopper height values, 0.06m³, 0.3kg/s, 91.68kg/h, 0.13m ,18.4kw, 0.7m, 0.55m, 0.75m.

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