Modeling of Linear and Non-linear Compression Processes of Sunflower Bulk Oilseeds

Abraham Kabutey,Himsar Ambarita,David Herak,Riswanti Sigalingging

doi:10.3390/en12152999

Abraham Kabutey, Himsar Ambarita + Show 2 more

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https://doi.org/10.3390/en12152999

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Abstract

The present study aimed at describing the experimental and theoretical force-deformation curves of sunflower bulk oilseeds at varying initial pressing heights and vessel diameters as well as determining the theoretical pressure and energy along the screw press FL 200 pressing chambers. The design of efficient oil expression systems for industry and small-scale application remains a major challenge to engineers and researchers. In attempting to solve the problem, it is important to understand the linear compression process and to transfer the knowledge to the industry involving mechanical screw presses. The universal compression testing machine at a preset load of 200 kN and a speed of 5 mm·min−1, tangent curve model and the screw press FL 200 geometry parameters were applied. The obtained results of pressure and energy along the screw pressing chambers (1–7) ranged from 0.31 to 101.653 MPa and 12.616 to 1231.228 J. Applying the tangent model at n = 1 and n = 2, the cumulative pressure decreased with increasing vessel diameters while energy increased. The study provides useful information for the analysis of other bulk oilseeds and optimizing the processing parameters of screw press FL 200 and the design and development of new oil presses.

Highlights

There is the concern with the environmental preservation, which is structured both in efforts to optimize energy efficiency and investments in research, development and application of renewable resources, and cleaner technologies [1,2,3,4]
For oil yield, the initial pressing height would not contribute significantly (P-Value > 0.05). This means that the coefficient of the initial pressing height will not be used in the regression model to predict the oil yield of sunflower bulk oilseeds
Based on the results presented and discussed, it was revealed that the coefficients of the independent variables in the determined regression model would contribute significantly to the prediction of the dependent variables

Summary

Introduction

There is the concern with the environmental preservation, which is structured both in efforts to optimize energy efficiency and investments in research, development and application of renewable resources, and cleaner technologies [1,2,3,4]. Mechanical pressing (using a screw or hydraulic presses) and solvent extraction with n-hexane are commonly used commercial oil extraction methods [9,10,11,12,13]. The mechanical pressing gives a lower yield compared to the solvent extraction method, it has several advantages including the lower cost of equipment and higher oil quality [14,15,16,17]. The oil yield using the mechanical pressing process is dependent on particle size, moisture content, heating temperature, heating time, applied pressure and pressing time [18,19,20,21]. The press and screw configurations are factors affecting mechanical oil expression [22]. Mechanical expression of oil requires the application of pressure on the operating conditions, pretreatment and raw material. For a given pressure, deformation and compression of particles begin to release the oil from the capillaries of particles

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