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 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.

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%.

Effect of Temperature, Moisture Content, Particle Size and Roasting on Shea Butter Extraction Efficiency

2010 ◽  
Vol 6 (2) ◽  
Author(s):  
George Y. Obeng ◽  
Michael K Adjaloo ◽  
Peter Donkor
Keyword(s):  
Particle Size ◽  
Moisture Content ◽  
Extraction Method ◽  
Extraction Efficiency ◽  
Low Pressure ◽  
Oil Extraction ◽  
Screw Press ◽  
Shea Butter ◽  
Extraction Temperature ◽  
Optimum Extraction

The purpose of this study is to establish optimum extraction temperature, moisture content, particle size and the effect of roasting of shea kernels on extraction efficiency for optimum shea butter yield using low pressure (45kg/cm2) manual screw press. Extraction of shea butter is a major income generating activity in Ghana, particularly in the Northern Regions. It is estimated that about 80% of the shea butter produced in Ghana is processed by women using traditional aqueous extraction method. Commercial extraction using continuous screw press accounts for about 20% of production. Oil extraction rates for the traditional aqueous extraction method are relatively low. The traditional aqueous method involves roasting, milling, creaming and boiling, and relies on very low pressure, high moisture of 65-68% and temperatures of 100-140°C. In this study Intermediate Moisture Content (IMC) method was employed. The IMC method involves the use of a low pressure manual screw press to extract butter from shea kernels. The study established an optimum extraction temperature of 60°C and moisture content of 12% at which butter extraction efficiency was between 65.9% and 68.5%. The results revealed that oil extraction efficiency depends on the fineness of paste to be processed and that roasted kernels do not give higher butter yield than unroasted kernels. This is against the traditional belief that high shea butter yield can only be achieved when the kernels are roasted.

scholarly journals Effect of process conditions on Sandbox seed oil yield by mechanical expression: A response surface approach

2020 ◽  
Vol 45 (3) ◽  
pp. 70-81
Author(s):  
Onwe Nwabueze ◽  
Bamgboye Isaac
Keyword(s):  
Moisture Content ◽  
Response Surface ◽  
Oil Extraction ◽  
Oil Yield ◽  
Process Conditions ◽  
Process Variables ◽  
Roasting Temperature ◽  
Oil Expression ◽  
Expression Time ◽  
Roasting Time

Cost of solvent oil extraction methods has made mechanical oil expression a desirable alternative. The effect of process variables on mechanical oil expression from sandbox seed was studied. The experimental design used for the study was a 52 Central Composite Rotatable Design of Response Surface Methodology. Experimental factors considered were: moisture content, roasting temperature, roasting time, expression pressure and expression time. Results obtained were analyzed at a0.05. The oil yield from the sandbox seed ranged from 16.38-38.68%, and was increased at processing variable ranges of (4.0-8.0%) moisture content, (80.0-90.0°C) roasting temperature, (5.0-15.0%) roasting time, (15.0-20.0 MPa) expression pressure and (6.0-8.0 min) extraction time. The maximum oil yield of 38.68% was obtained at the processing conditions of 6% moisture content, 85 °C roasting temperature, 15 min roasting time, expression pressure of 20 MPa and 8 min pressing time. Model equation relating the process variables to oil yield was developed. Coefficient of determination (R2) relating the process was 0.8908. The result showed that moisture content, roasting time, expression pressure and expression time had a significant influence on the sandbox oil yield. The results obtained in this study can serve for process and equipment designs for oil extraction from sandbox and other oilseeds and nuts.

scholarly journals Optimization of Mechanical Oil Expression from Sandbox (Hura crepitans Linn.) Seeds

2021 ◽  
Vol 2 (2) ◽  
pp. 434-449
Author(s):  
David ONWE ◽  
Adeleke Isaac BAMGBOYE
Keyword(s):  
Moisture Content ◽  
Extraction Process ◽  
Oil Extraction ◽  
Oil Yield ◽  
Process Conditions ◽  
Statistical Tool ◽  
Study Results ◽  
Roasting Temperature ◽  
Expression Time ◽  
Roasting Time

Optimization of process variables has become very vital in oil extraction processes to obtain maximum oil yield from oilseeds and nuts. This work focussed on the optimization of process oil extraction process from sandbox seed by mechanical expression. Effects of moisture content, roasting temperature, roasting time, expression pressure and expression time on oil yield from sandbox seed was studied using a 5×5 Central Composite Rotatable Design of Response Surface Methodology experimental design. Results obtained were subjected to Analysis of Variance (ANOVA) and SPSS statistical tool at (p = 0.05). Optimum conditions predicted were validated by experiments. All the processing factors were significant at (p = 0.05) for the sandbox oil yield except roasting temperature. The experimental results and predicted values showed low deviation (0.01-0.62). Oil yields obtained from the sandbox seed at varying process conditions varied from 16.38-38.68%. The maximum oil yield of 38.68% was obtained when the sandbox seed was subjected to process conditions of 6% moisture content, 85°C roasting temperature, 15 min roasting time, expression pressure of 20 MPa and 8 min pressing time. Mathematical equations to predict sandbox seed oil yield at varying process conditions were developed with an R2 (0.8908). The optimum extractable oil yield of 38.95% was predicted for sandbox seed at processing conditions of 7.03% moisture content, 97.72°C roasting temperature, 11.32 min roasting time, 15.11 MPa expression pressure and 8.57 min expression time. The study results provide data for designs of process and equipment for oil extraction from sandbox and other oilseeds.

The Golden Age in Russian Refining: Outcomes and Prospects

2012 ◽  
pp. 124-131
Author(s):  
Yu. Astashov
Keyword(s):  
Golden Age ◽  
Oil Extraction ◽  
The State ◽  
Oil Refining ◽  
Tax Reforms

The article considers the state of things in Russian oil refining. The options for its modernization are analyzed, as well as the effects of tax reforms in the sector. It is noted that current tax reforms mostly touch upon refining, not oil extraction, so one can expect further reforms in the sector and their impact on the industry.

Determination of grinding parameters of fenugreek seed

1970 ◽  
Vol 26 (1) ◽  
pp. 16 ◽  
Author(s):  
S Balasubramanian ◽  
Rajkumar Rajkumar ◽  
K K Singh
Keyword(s):  
Particle Size ◽  
Energy Consumption ◽  
Moisture Content ◽  
Specific Energy ◽  
Feed Rate ◽  
Average Particle Size ◽  
Specific Energy Consumption ◽  
Average Particle ◽  
Fenugreek Seeds ◽  
Fenugreek Seed

Experiment to identify ambient grinding conditions and energy consumed was conducted for fenugreek. Fenugreek seeds at three moisture content (5.1%, 11.5% and 17.3%, d.b.) were ground using a micro pulverizer hammer mill with different grinding screen openings (0.5, 1.0 and 1.5 mm) and feed rate (8, 16 and 24 kg h-1) at 3000 rpm. Physical properties of fenugreek seeds were also determined. Specific energy consumptions were found to decrease from 204.67 to 23.09 kJ kg-1 for increasing levels of feed rate and grinder screen openings. On the other hand specific energy consumption increased with increasing moisture content. The highest specific energy consumption was recorded for 17.3% moisture content and 8 kg h-1 feed rate with 0.5 mm screen opening. Average particle size decreased from 1.06 to 0.39 mm with increase of moisture content and grinder screen opening. It has been observed that the average particle size was minimum at 0.5 mm screen opening and 8 kg h-1 feed rate at lower moisture content. Bond’s work index and Kick’s constant were found to increase from 8.97 to 950.92 kWh kg-1 and 0.932 to 78.851 kWh kg-1 with the increase of moisture content, feed rate and grinder screen opening, respectively. Size reduction ratio and grinding effectiveness of fenugreek seed were found to decrease from 4.11 to 1.61 and 0.0118 to 0.0018 with the increase of moisture content, feed rate and grinder screen opening, respectively. The loose and compact bulk densities varied from 219.2 to 719.4 kg m-3 and 137.3 to 736.2 kg m-3, respectively.  

Effect of Different Storage Conditions on Soybean Oil Acid Value

2014 ◽  
Vol 962-965 ◽  
pp. 1235-1238
Author(s):  
Mei Mei Hao ◽  
Xi Hong Li ◽  
Hai Dong Liu ◽  
Wei Qiao Yang ◽  
Chong Xiao Shao ◽  
...  
Keyword(s):  
Moisture Content ◽  
Soybean Oil ◽  
Acid Value ◽  
Storage Condition ◽  
Storage Conditions

Under the condition of nine kinds of storage, In this thesis, through the determination of acid value of soybean oil, to search for the best storage condition, used to prevent the soybean oil acid value rise, through the analysis of the acid value data, We find the best storage condition, is 0°C, 6% moisture content, and PVC plastic wrap packaging.

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.

Sign in / Sign up

Export Citation Format

Share Document