Optimization of a Screw Press Using Linear Programming Techniques

2013 ◽  
Vol 816-817 ◽  
pp. 1265-1269
Author(s):  
Abbas Ihsan ◽  
Riaz Ahmad ◽  
Muhammad Umer
Keyword(s):  
High Pressures ◽  
Linear Optimization ◽  
Oil Extraction ◽  
Screw Press ◽  
Optimization Techniques ◽  
Oil Yield ◽  
Small Scale ◽  
Mechanical Assembly ◽  
Industrial Sectors ◽  
Decision Variables

Screw presses are exclusively used for extraction of oil from vegetable seeds; having a mechanical assembly where screw shaft is used to press the seeds at high pressures in order to have a reasonable oil yield. Mostly conventional screw presses are used in the commercial and industrial sectors having high O&M costs and hence less life. For this purpose an efficient small scale screw press was selected for this study. The objective was to apply the optimization techniques in order to have a set of optimized decision variables satisfying certain constraints to get the maximum oil yield. The software used for linear optimization was TORATM Version 2.00. The objective function was to maximize the oil yield. The decision variables comprised of seed input, screw speed, motor power, die opening size, total pressure and temperature. Constraints were accordingly defined for each variable and the data was fed to TORAs input grid. The solver menu used the simplex starting all-slack method to solve the LP model. The output of the model selected the optimized variables which resulted in maximum oil yield. To include the losses incurred in the screw press a loss function was developed including the heat losses, mechanical/inertial losses and seed cake losses. The results calculated depicted an oil extraction rate of as high as 35.42% compared to the conventional oil extraction rates of 28-32%.

scholarly journals Mechanical oil extraction of Nicotiana tabacum L. seeds: analysis of main extraction parameters on oil yield

2016 ◽  
Vol 47 (3) ◽  
pp. 142-147 ◽  
Author(s):  
Salvatore Faugno ◽  
Luisa Del Piano ◽  
Mariano Crimaldi ◽  
Gennaro Ricciardiello ◽  
Maura Sannino
Keyword(s):  
Seed Oil ◽  
Chemical Properties ◽  
Temperature Sensors ◽  
Oil Extraction ◽  
Screw Press ◽  
Edible Oil ◽  
Oil Yield ◽  
Extraction Temperature ◽  
Tobacco Seed ◽  
Nicotiana Tabacum L

The aim of this study is to find the best conditions of tobacco seed oil (TSO) press extraction, combining multiple extraction factors such as screw rotational speed, seeds preheating and extraction temperature, in order to have a higher oil yield. The extracted oil, having peculiar chemical properties, can be used for several purposes, also as edible oil. TSO was obtained using a mechanical screw press that has been assembled with a head press and with speed and temperature sensors mounted on the machine. Results show that the combination of high extraction temperature, slow rotational screw speed and seeds preheating has a significant effect on the oil yield. Extracting under such conditions, oil yield is 79.47±0.12 as % (w/w), which is 25% (w/w) more than the lowest yield among investigated condition.

scholarly journals Innovative and flexible single screw press for the oil extraction of Calophyllum seeds

2019 ◽  
Author(s):  
Yuli Setyo Indartono ◽  
Heriawan Heriawan ◽  
Ika Amalia Kartika
Keyword(s):  
Moisture Content ◽  
Feed Rate ◽  
Acid Value ◽  
High Viscosity ◽  
Oil Extraction ◽  
Screw Press ◽  
Oil Yield ◽  
Oil Refining ◽  
Pressing Temperature ◽  
Single Screw

The oil extraction of Calophyllum seeds using a conventional single screw press leads to an inferior yield and is perceived to be less efficient as well as difficult to operate. An innovative and flexible single screw press was, therefore, designed and investigated in this study to solve these problems. Moreover, the effects of the seeds’ moisture content, pressing temperature and seeds’ feed rate on the oil yield and quality were identified to determine the optimal oil extraction performance from the Calophyllum seeds. The study found that the seeds’ moisture content, pressing temperature and seeds’ feed rate generally affected the oil yield. The yield indeed improved as the pressing temperature and the seeds’ feed rate increased respectively from 45 to 75°C and 1.5 to 5 kg·h<sup>–1</sup>. The oil yield also ameliorated as the seeds’ moisture content rose from 1.7 to 12.8%, but it was optimal when the seeds’ moisture content was 5.5%. The best oil yield of 80.6% was, thus, obtained with the seeds’ moisture content of 5.5%, a pressing temperature of 75°C and the seeds’ feed rate of 5 kg per h. Although the quality of the crude oil was poor with a high viscosity (³ 94 mm<sup>2</sup>·s<sup>–1</sup>) and high acid value (³ 48 mg KOH/g), its density, saponification and iodine values were acceptable. After the oil refining process by degumming and neutralisation, its quality improved and met the Indonesian Biofuel Standards, except for its viscosity.

scholarly journals Response surface methodology optimization of oil extraction from oil palm meal (OPM) with hydrous ethanol and its pilot-scale application with recirculation of extraction solvent

2019 ◽  
pp. 954-965
Author(s):  
Krit Somnuk ◽  
Jarernporn Thawornprasert ◽  
Pin Chanjula ◽  
Gumpon Prateepchaikul
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Palm Oil ◽  
Oil Palm ◽  
Oil Extraction ◽  
Laboratory Scale ◽  
Extraction Time ◽  
Oil Yield ◽  
Small Scale ◽  
Hydrous Ethanol

In the small-scale dry oil extraction from palm fruit used by palm oil mills, mixed crude palm oil (MCPO) is extracted using a single screw press. The oil palm meal (OPM) by-product can be used as alternative feed for ruminants. Three parameters in further solvent extraction of oil are the ethanol-to-dried oil palm meal (DOPM) ratio (4.9–30.1 g.g-1), the extraction time (0.2–18.8 min), and the speed of stirrer (48–552 rpm). These parameters were optimized to for maximum oil yield by response surface methodology (RSM) while employing hydrous ethanol as the solvent. In our laboratory-scale oil extraction, the maximal experimental yield was 10.27 wt.% under the recommend condition: 20.1 g.g-1 ethanol-to-DOPM ratio, 11 min extraction time, and 300 rpm speed of stirrer. Moreover, prototype-scale oil extraction was tested with recirculated miscella for effects of the number of cycles on oil extraction from fresh DOPM. The results showed approximately 17.4 wt.% oil yield from 5000 g DOPM at the conditions recommended based on laboratory-scale experiments. In this study, recirculated miscella was used to extract oil from fresh DOPM. The first four cycles of oil extraction were almost as efficient as with fresh ethanol. Moreover, the protein content in the defatted oil palm meal (DFOPM) improved with oil extraction, because residual oil in DOPM was removed. The DFOPM should have less rancidity and longer shelf-life than DOPM.

scholarly journals Preliminary Design on Screw Press Model of Palm Oil Extraction Machine

2017 ◽  
Vol 165 ◽  
pp. 012029 ◽  
Author(s):  
Muhammad Firdaus ◽  
S M Salleh ◽  
I. Nawi ◽  
Z. Ngali ◽  
W.A. Siswanto ◽  
...  
Keyword(s):  
Palm Oil ◽  
Oil Extraction ◽  
Screw Press ◽  
Preliminary Design

A Novel Hybrid Method Based on Three-Stage Extraction and DEA-CCR Models for Selecting the Optimal Conditions for Citronella Oil Extraction

2021 ◽  
Author(s):  
Thaithat Sudsuansee ◽  
Narong Wichapa ◽  
Amin Lawong ◽  
Nuanchai Khotsaeng
Keyword(s):  
Energy Consumption ◽  
Flow Rate ◽  
Energy Cost ◽  
Oil Extraction ◽  
Steam Flow ◽  
Oil Yield ◽  
Steam Flow Rate ◽  
Citronella Oil ◽  
Extraction Model ◽  
Ccr Model

In citronella oil extraction process by steam distillation, inefficient use of steam is the main cause of excessive energy consumption that affects energy cost and oil yield. This research is aimed to reduce the energy cost and increase the oil yield by studying the steam used in the process. The proposed method is the three-stage extraction model combined with the Data Envelopment Analysis developed by Charnes, Cooper and Rhodes (DEA-CCR model). Although the three-stage extraction model has been widely used, there is no research integrate this model with DEA-CCR model. It is well known that DEA-CCR model is an effective tool to evaluate efficiency of decision making units/alternatives. The advantages of this research were presented as the calculation of the optimum distillation conditions, including the steam flow rate and the distillation time, were achieved as discussed in this article. The study was comprised of 3 parts. Firstly, the three-stage extraction model for citronella oil was formulated. Secondly, the results of the proposed model were calculated under different conditions, classified by steam flow rates from 5,000 to 60,000 cm3/min for the distillation period of 15–180 min. Finally, the DEA-CCR model was utilized to evaluate and rank alternatives. The results expressed that the best condition for producing citronella oil was at the steam flow rate of 40,000 cm3/min and the distillation time of 60 min. The optimal energy cost and percentage of oil yield were equal to 0.440 kWh/mL and 0.7%, respectively. When comparing to the experimental results, the percentage error of optimal energy cost and oil yield were slightly different, with a value of 0.98% and 0.85%, respectively. Moreover, the energy consumption was also reduced by 34.6% compared to the traditional operating conditions.

scholarly journals Comparative Study of Optimization Algorithms for The Optimal Reservoir Operation

2018 ◽  
Vol 246 ◽  
pp. 01003
Author(s):  
Xinyuan Liu ◽  
Yonghui Zhu ◽  
Lingyun Li ◽  
Lu Chen
Keyword(s):  
Reservoir Operation ◽  
Optimization Problems ◽  
Optimization Algorithms ◽  
Complex Problem ◽  
Optimization Techniques ◽  
Decision Variables ◽  
Handling Methods ◽  
Optimality Algorithm ◽  
Parameter Values

Apart from traditional optimization techniques, e.g. progressive optimality algorithm (POA), modern intelligence algorithms, like genetic algorithms, differential evolution have been widely used to solve optimization problems. This paper deals with comparative analysis of POA, GA and DE and their applications in a reservoir operation problem. The results show that both GA and DES are feasible to reservoir operation optimization, but they display different features. GA and DE have many parameters and are difficult in determination of these parameter values. For simple problems with mall number of decision variables, GA and DE are better than POA when adopting appropriate parameter values and constraint handling methods. But for complex problem with large number of variables, POA combined with simplex method are much superior to GA and DE in time-assuming and quality of optimal solutions. This study helps to select proper optimization algorithms and parameter values in reservoir operation.

scholarly journals Complex Approach to Conceptual Design of Machine Mechanically Extracting Oil fromJatropha curcasL. Seeds for Biomass-Based Fuel Production

2016 ◽  
Vol 2016 ◽  
pp. 1-12 ◽  
Author(s):  
Ivan Mašín ◽  
Michal Petrů
Keyword(s):  
Jatropha Curcas ◽  
Systematic Approach ◽  
Labour Productivity ◽  
Oil Extraction ◽  
Production Costs ◽  
Small Scale ◽  
Efficient Manner ◽  
Technical Problems ◽  
Complex Approach ◽  
Small Scale Farmers

One of important sources of biomass-based fuel isJatropha curcasL. Great attention is paid to the biofuel produced from the oil extracted from theJatropha curcasL. seeds. A mechanised extraction is the most efficient and feasible method for oil extraction for small-scale farmers but there is a need to extract oil in more efficient manner which would increase the labour productivity, decrease production costs, and increase benefits of small-scale farmers. On the other hand innovators should be aware that further machines development is possible only when applying the systematic approach and design methodology in all stages of engineering design. Systematic approach in this case means that designers and development engineers rigorously apply scientific knowledge, integrate different constraints and user priorities, carefully plan product and activities, and systematically solve technical problems. This paper therefore deals with the complex approach to design specification determining that can bring new innovative concepts to design of mechanical machines for oil extraction. The presented case study as the main part of the paper is focused on new concept of screw of machine mechanically extracting oil fromJatropha curcasL. seeds.

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