scholarly journals Justification of Screw Press Rational Parameters and its Working Modes during Sod Peat Extraction by Milling-forming Method

2019 ◽  
Vol 105 ◽  
pp. 01033 ◽  
Author(s):  
Alexander Yablonev ◽  
Anna Guseva

Sod peat production involves the use of screw press machines. Although the designs of such machines differ in details, they have a number of similar parameters including the highest power intensity throughout the entire production cycle. Sod peat forming conditions are investigated in order to reduce the process energy intensity without losing sod density and, therefore, strength. Laboratory experimental dispersion and moulding of peat are done with a screw press having five speeds, three interchangeable nozzles and two screws with different step of turns. The moisture of the feedstock, the effective power and capacity of the press, the specific energy of the process are determined. The findings show that the most rational operating modes of a screw press consist in the blend of screw rotation speed, nozzle diameter and step of screw turns.

OCL ◽  
2020 ◽  
Vol 27 ◽  
pp. 65
Author(s):  
Laurine Bogaert ◽  
Houcine Mhemdi ◽  
Eugène Vorobiev

Mechanical expression is widely applied for oil recovery from oilseeds using continuous screw presses. Despite significant recent advances in the field of press design and automation, it remains difficult to predict the press performances based on the theoretical approaches, and more experimental investigations are needed to clarify and characterize the seeds flow and expression behavior in the press. Residence Time Distribution (RTD) is a frequently used tool in chemical engineering to characterize the material flow by simple tracer tests. In this paper, we explore the feasibility of using RTD for the screw presses, in order to check the flow patterns homogeneity and identify the possible deviations depending on the press geometry and the operating conditions. Both theoretical modeling and experimental investigation are conducted for two different screw press designs (Reinartz and Olexa), and at the different rotation speeds. An original and reliable experimental methodology was developed by using erucic acid as tracer in the form of pulse injection and gas chromatography as detection method. Experimental results coupled with statistical calculations showed the influence of the screw geometry and the rotation speed on the seeds flow inside the press. The matter displacement was much faster and the experimental residence time was very close to the theoretical one indicating more homogeneity and less dispersion in the Olexa arrangement in comparison to the Reinartz arrangement. The higher variance observed at lower rotation speed (2.4 rpm) suggested the presence of flow defects like mixing and axial dispersion in the press. To complete the experimental work, axial dispersion model was applied, and allowed obtaining the valuable information, such as axial dispersion degree and distribution functions. Obtained results can be very useful to predict the performance of existing screw presses and design more efficient industrial equipments.


2018 ◽  
Vol 226 ◽  
pp. 02014
Author(s):  
Mikhail A. Lemeshko ◽  
Mikhail D. Molev ◽  
Alexey G. Iliev

The article deals with the machines schemes, having an executive body making two movements and establishing a relationship between them. The ratio of the moving velocities, or the ratio of the two displacements of these movements, or the ratio of the applied powers to each of these movements, determines the indices of the working process, and often has an optimal value. A typical example of this type of machine is a drilling machine. The ratio of rotation speed and the feed rate determines both the specific power intensity of the cutting process , the intensity of the wear out and drilling capacity. The structural schemes of the drive of some other technological machines are considered. On the example of a device used for processing curved surfaces in metalworking, a process of automatically adjusting chip thickness with a hydraulic drive having an adaptive structure is described. The efficiency of self-regulation is shown by means of using relatively simple circuit solutions.


2019 ◽  
Vol 112 ◽  
pp. 03022
Author(s):  
Carmen Vasilachi ◽  
Sorin-Stefan Biriş

This paper is about getting grape seed oil using a twin-screw press. Grape seed oil is a by-product of the wine industry due to the need to reduce the amount of waste, but at the same time it has been found that this oil is an excellent ingredient that can be used in many industries. It is assumed that the use of twin-screw is more efficient than single-screw extraction due to the larger pressures that are created inside the press chamber. This study focuses on the finite element method analysis of how the press process is carried out. Using the finite element method, we can get an overview of how the pressure acts on the sides of the twin-screw, how it influences the temperature but also other process factors. When we have all these, we can begin optimizing the twin-screw press process.


Author(s):  
Ralph W. Cook

The first citrus feed mills built in Florida used Louisville or Davenport presses. The Louisville press was a horizontal roller press. The Davenport press used two flat perforated cones. These presses had several problems in common, the edges of the peel mass did not get pressed much and the pressure was released before discharging the press cake, giving reabsorption of the press liquor. Most of the installations changed to vertical or horizontal screw press by 1960. Since then, there has been only modest improvements. Paper published with permission.


Author(s):  
Khaled Bawaneh ◽  
Michael Overcash ◽  
Janet Twomey

In this study, two important techniques for estimating the nonprocess energy in industrial and manufacturing buildings were examined. The building energy data for two industrial facilities were collected and analyzed. The building nonprocess energy includes lighting, heating, cooling, and ventilation. The power intensity (W/ft2) for each energy type use was estimated using two methods and then analyzed. This nonprocess energy needs to be clearly defined to allow more quantitative improvements. Previous analysis of industrial energy use often expressed nonprocess energy as a percentage of total energy but without clear values of actual nonprocess energy. This information is a low value since the actual nonprocess energy is then dominated by the dominator which is unspecified. The research in this paper has further contributed to the life cycle assessment of products by estimating nonprocess energy which can then be added to the process energy to obtain a complete energy profile of product manufacturing.


2014 ◽  
Vol 543-547 ◽  
pp. 164-167
Author(s):  
Nan Hui Yu ◽  
Ji Jun Fan

Mechanical pressing is one of the most widely used methods of separating oil from oil plants. Screw press is a typical oil extraction equipment adopting this method. In which the pressing chamber is a core component, and the press cage, as a main part of it, whose strength is a precondition to ensure normal operation of the screw press. Comparing with the complexity and drawbacks of traditional analyzing and checking methods, here, computer aided analysis was used to make stress analysis. A simplified 3-D model of the press cage was built, and the finite analysis was conducted by ANSYS software. Then, the continuous deformation and stress distribution of the cage were obtained. The results can provide a good reference to the improvement and optimization of its structure design


2021 ◽  
Vol 244 ◽  
pp. 08003
Author(s):  
Fedor Gelver ◽  
Alecsandr Saushev

Schematic and algorithmic solutions for the design and construction of ship’s electromotive systems of various purposes are considered. The analysis of the existing structures of electromotive complexes, as well as the types of electrical converters used is carried out. The structure of an electromotive complex based on a transformerless structure with common DC bus-bars is proposed. The main goals of improvement are to increase energy efficiency, reliability and survivability of an electric power plant, and lower weight and size characteristics. The proposed structure of the ship’s electromotive complex allows braking the propellers without using additional braking circuits with the redistribution of energy between the propeller electric machines and the dissipation of braking energy in the working medium - water. An algorithm is proposed and mathematical modeling of braking and reverse modes of a propeller electric installation is carried out. Timing diagrams of changes in torque, rotation speed and power on each of the propellers for the proposed algorithm of braking and reverse of propeller motors are presented. It is shown that the synthesized structure of the electromotive complex makes it possible to reduce the emissions of pollutants into the environment, as well as to save fuel within the range of 10÷15%, depending on the operating modes of the ship in comparison with the existing structures of the electromotive systems.


Author(s):  
Nozim I. Dzhabborov ◽  
Anton M. Zakharov ◽  
Andrey V. Zykov

Introduction. Current practices to prepare potatoes for sale have significant drawbacks. The aerodynamic method of potato treatment eliminates them owing to its design features. IEEP – branch of FSAC VIM has manufactured an experimental model of the installation POKAS-1 IEEP to test this method. The required power, energy inputs and productivity of the installation were determined and optimized with the aim to achieve highly efficient treatment of potato tubers. Materials and Methods.Various operating modes of the installation were studied in the experiments according to the developed program and methodology with the use of theoretical modeling methods based on the insight of the processes occurring during the potato treatment. Results. The experimental studies revealed the patterns how the required power, productivity and energy intensity of potato treatment process varied with the nozzle outlet air temperature. The empirical relationship was found to determine the mass of soil particles removed from the potato surface depending on the air temperature. Discussion and Сonclusion. The most efficient pre-sale potato treatment by the aerodynamic method was found at the drum rotation frequency of 20 min–1 and the nozzle output temperature of 40 °C, with the optimal required power of the installation being 5.68 kW. When the installation productivity increased from 0.025 t/h to 0.030 t/h, the energy intensity of the technological process was also going up; with the further increase in the productivity from 0.030 t/h to 0.036 t/h the energy intensity of the process dropped drastically. The energy intensity of the process varied from 794.5 to 1124.3 MJ/t depending upon the temperature regime and high power consumption of the installation. The developed method allowed calculating the required power and productivity of the aerodynamic installation and the energy inputs for the process under consideration.


BioResources ◽  
2020 ◽  
Vol 15 (3) ◽  
pp. 5899-5912
Author(s):  
Bouchaib El Idrissi ◽  
Éric Loranger ◽  
Robert Lanouette ◽  
Jean Pierre Bousquet ◽  
Mark Martinez

Statistical modeling of a screw press was established by using an experimental design based on the screw rotational speed, the pulp feed consistency, the pulp feed suspension freeness, the inlet pressure, and the counter-pressure at the discharge end. The statistical models showed that the screw press outputs for each pulp could be predicted. When including all data in a global model to predict the outputs of the press for any pulp, a global statistical model was found not to be efficient by using just the five fixed parameters. The solution to this problem was to use a multivariate analysis to include more parameters, mainly about the fiber characteristics (crowding factor, fiber length, fiber width, and fines content). By including these fiber properties, the differences between each pulp were more properly analyzed. The multivariate analysis predicted the press outsets very well in a global model by using eight parameters instead of five. The R2 values of the multivariate prediction model were all higher than 0.70 and had the goodness of prediction (Q2¬¬¬) higher than 0.60.


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