• Tribology and Lubricants
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• v.24 no.2
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• pp.82-89
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• 2008

The purpose of this study is to develop the proto type sensor installed inside an oil filter in order to detect oil deterioration level. The sensor is made up with two concentric cylinders with constant gap in between and a filter element inside the central area. The size will be designed as similar as real oil filters. The sensor will be tested on a test rig, which is circulating engine oil, with the same size of an oil filter adapting housing as real engines'. It will be measured the capacitance of a sample engine oil, then be able to be gotten the dielectric constant. The changes in the dielectric constant could be correlated with the engine oil deterioration level if the sensor development would be completed. In this paper, it will be shown the test results carrying out under variable temperature conditions at atmosphere pressure.

• Journal of environmental and Sanitary engineering
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• v.13 no.3
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• pp.121-127
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• 1998

This study investigated exposures to oil mist obtained from an cutting oil manufacture shop and 5 machining shops and also analysis of some oils. The results were that geometric average concentrations of oil mist were $0.29 mg/m^3$, which was less than current $TLV(5mg/m^3$) in Korea. The proper case of either type of system will ensure that atmospheric concentrations of oil mist in machine shops will be within the TLV. It should be remembered, however, that this TLV was established before there was any suggestion that in the inhalable of oil mist might rarely be carcinogenic, and so it seems prudent to keep atmospheric content as low as possible. The analysis of insoluble cutting oils with GC-MSD showed that considerable suspected PAHs were contained. But soluble cutting oil(KSM-W2) didn't almost contain PAHs.

• Tribology and Lubricants
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• v.24 no.4
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• pp.170-178
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• 2008

In this paper, it is described how the problems appeared at the previous proto type sensor are improved. As changing the pressure and temperature of engine oil in a test rig, the modified sensor is tested. Then, the measured results of capacitance and the corresponding dielectric constants under various temperatures and pressures are shown. It turns out that the electrical signal gotten from the electrodes of newly developed sensor can be more stable under the various operating conditions.

• Journal of Biosystems Engineering
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• v.10 no.2
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• pp.47-54
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• 1985

Performance of a screw press was investigated experimentally with soybeans of various temperatures in order to find out a proper temperature of soybean to extract the oil by the mechanical method. Crude oil extracted by the screw press was chemically analyzed to determine a level of processing the oil for the oil to be used as a fuel for a compression ignition engine. The crude oil was degummed and dried by a plant type laboratory experimental setup to decide whether the processes are effective to improve quality of the oil as a fuel. The degummed oil and the degummed and dried oil were also chemically analyzed and were compared with the crude oil and the commercially degummed and dried soybean oil. The results are as follows: 1. In extraction of soybean oil by a screw press, heating soybeans is effective to increase oil production and to decrease energy consumption of the press. A proper temperature of soybean to extract the oil by the press was determined as about $50^{\circ}C$. 2. Soybean oil production and electric energy consumption of the press are about 83 ml and 58 Wh per 1 kg of soybeans heated to about $50^{\circ}C$, respectively. 3. The quality of crude oil produced by the press is similar to that of the commercially degummed and dried oil. The crude oil does not need to be degummed or dried for use as an engine fuel.

• Journal of the Korean Wood Science and Technology
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• v.16 no.2
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• pp.79-89
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• 1988

This experiment was carried out to investigate the difference of compositions between petroleum ether extract and its tall oil in Pinus rigida Mill. xylem and to obtain the basic data on effective extraction and its utilization of by-product, resin and fatty acid, when pulp making. After both petroleum ether extract from wood meal and its tall oil in pitch pine were separated to the resin and fatty acid by using DEAE-Sephadex and aluminum oxide column, these were analyzed with gas chromatograph. The results obtained were as follows: 1. Fatty acids contained as ester form in living trees were varied by peroxide of organic solvent in petroleum ehter extraction and cooking chemicals in cooking. 2. Pimaric-type acid was eluted earlier than abietic-type acid in resin acids and the fewer the carbons, the earlier the elution in fatty acids. 3. The retention time of SE-30 column was even smaller than that of OV-101 column but the relative retention time obtained by using methyl pimarate and methyl stearate as internal standard was nearly identical. 4. Both petroleum ether extract and tall oil mainly consisted of resin acids, expecially abietic-type acid. 5. Tall oil had more fatty acid but less resin acid than petroleum ether extract. Also, the content of unidentified materials was increased owing to the isomerization and the shift of double bond position in unsaturated fatty acids by high temperature and cooking chemicals when cooking.

• Journal of the Korean GEO-environmental Society
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• v.11 no.10
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• pp.49-55
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• 2010

The oil spill occurred frequently due to probably the increased consumption of oil as the energy source and the raw materials of various chemicals. For the treatment of oil contaminated groundwater, DAF(Dissolved Air Flotation) is being used but the removal efficiency is low. Therefore it is necessary to reduce the free phase oil, oil-in water type or water-in oil type emulsified oil, and soluble oil which are the main sources of contaminated groundwater. In this study, treatment of contaminated groundwater was performed using the Fenton oxidation process. The optimum conditions for the removal of THP(Total Petroleum Hydrocarbon) were 3 of pH, 25mM of $H_2O_2$ concentration and 25mM of $Fe^{2+}$ concentration. THP and COD(Chemical Oxygen Demand) concentrations decreased less than 1.5mg/L and 40.0mg/L in 7 minutes using DAF and Fenton oxidation process. However it is necessary to install the settling basin as the sludge concentration increased approximately 5 times.

• Journal of Industrial Technology
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• v.31 no.B
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• pp.113-117
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• 2011

The purpose of this study is to determine the antimicrobial effect of tea tree oil a against pathogens relate to acne. Tea tree oil extracted from Australian Melaleuca alterifolia has been studied extensively for their antimicrobial properties against different type of bacteria and fungi. Tea tree oil has been reported to have antibacterial, antiinflammatory and antitumor activities, among others. By evaluating the antibacterial effect of Tea Tree Oil of Australia, the MIC value of Tea Tree oil against P. acnes was 0.05% and 0.5% against aerobic bacteria. This study showed that Tea Tree Oil has antibacterial effect against bacteria which induce acne. Tea Tree Oil had better antibacterial effect against P. acnes compared to aerobic bacteria. It is promising to develop a nature-based functional material for makeup product, which can cure and prevent acne.

• Journal of ILASS-Korea
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• v.2 no.3
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• pp.44-50
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• 1997

Bio-diesel oil is a great possibility to solve the pollution problem caused by the exhaust gas from diesel engine vehicles. Recently the use of bio-oils in disel engines has received considerable attention to the forseeable depletion of world oil supplies. So, Bio-diesel oil has been attracted with attentions as an alternative and clean energy source. The objective of this paper is to experimentally investigate the characteristic of performance using light oil, rice-bran oil, heated rice-bran oil, rice-bran oil treated with ultrasonic energy. We included rice-bran oil and applied ultrasonic energy to highly viscous bio-oils. These methods seems to have never been tried yet. The final data may be able to be applicated for the design of the diesel engine using an alternative fuel.

• Journal of Nutrition and Health
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• v.31 no.4
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• pp.697-707
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• 1998

This study was designed to observe the effect of dietary fiber and fat on colon tumor incidence and cell proliferation. Male Sqraue Dawley rats(n=225) at 7 weeks of age, were divided into 3 groups depending on the type of fat b(beef tallow, corn oil and DHA-rich fish oil) and each group was again divided into 3 groups depending on type of fiber(fiber-free, perctin and cellulose) . The experimental diet containing dietary fat at 15%(w/w) and fiber at 6%(w/w) levels was fed for 25 weeks. At the same time, each rats was intramuscularly injected with DMH two times a week for 6 weeks to geive total dose of 180mg/kg body weight. Cell proliferation was measured by in vivo incroporation of bromodeoxyuridine (BrdU) into DNA. Fish oil decreased the tumor incidence (9.67%) compared with beef talow (33.39%) and corn oil (21.21%). Tumor incidence was decreased in all groups that fed cellulose (11.67%) compared with those of fiber-free(21.74%) and pectic(19.70%). Most of tumors was distributed at the site of the distal colon. The rats fed both fish oil and cellulose significantly decreased th enumber of tumors and tumor incidence compared to other groups. Fish oil was more effective in preventing cell prolofieration by decreasing crypt length and labeling index(LI) compared with beef tallow(p<0.05). Cell proliferation in distal colon was more developed to the upper part of the crypt compared to proximal colon. Overall tumor incidence and cell proliferation were more affected by dietary fat. But the effect of dietary fiber was different depending on type of fat in the experimental diet. These results suggest that a DHA -rich fish oil may has more decisive effect in inhibiting the cell proliferation in colon.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.297-299
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• 2021

Predicting future productivity of tight oil is an important task for analyzing residual oil recovery and reservoir behavior. In general, productivity prediction is made using the decline curve analysis(DCA). In this study, we intend to propose an effective model for predicting future production using deep learning-based recurrent neural networks(RNN), LSTM, and GRU algorithms. As input variables, the main parameters are oil, gas, water, which are calculated during the production of tight oil, and the type curve calculated through various cluster analyzes. the output variable is the monthly oil production. Existing empirical models, the DCA and RNN models, were compared, and an optimal model was derived through hyperparameter tuning to improve the predictive performance of the model.