• 설비공학논문집
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• 제11권1호
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• pp.31-37
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• 1999

In order to predict thermodynamic performance of refrigeration system, it is required to know the oil concentration of the refrigerant/oil mixture. The current method to measure the oil concentration is to extract the working mixture and then to measure the oil weight. However, it is Quite necessary to estimate oil concentration without any extraction of the working fluid. In this study a new method and working equation is presented as follows. It is based on the measurement of spedific gravity and temperature : $$C=a+b{\times}t+c{\times}t^2+(d+e{\times}t+f{\times}t^2){\times}SG$$ C is oil concentration, t is temperature($^{\circ}C$), SG is specific gravity of mixture and a~f is coefficients. The oil concentration ranges over 0~12 wt% and the temperature ranges over $20{\sim}50^{\circ}C$. The specific gravity and temperature are measured using the on-line densimeter and thermometer. This working equation enables to predict the oil concentration without any extraction of the mixture. This equation can be applied for R-12/Naphthenic oil and R-134a/POE oil oiquid mixtures.

• Journal of the Korean Wood Science and Technology
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• 제43권4호
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• pp.438-445
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• 2015

유럽에서 개발된 여러 가지 열개질처리 방법 중 독일의 오일열처리 방법을 적용하여 국산 잣나무 시편을 $180^{\circ}C$와 $200^{\circ}C$에서 열처리하였다. 또 같은 종류의 잣나무 시편을 $200^{\circ}C$에서 Thermowood열처리하였다. 열처리 시편의 표면을 자동대패로 대패한 후 1 mm와 4 mm 깊이의 재색을 색차계로 측정하였다. 열처리 시편 내층의 평균 백색도(L*)는 Oil-180 시편이 가장 높고, Oil-200 시편, Tmo-200 시편 순이다. 열처리에 의해 평균 적색도는 모든 시편이 증가하였으나 평균 황색도는 열처리 조건에 따라 증가하거나, 감소하였다. 무처리와 비교한 평균 색차값(${\Delta}E*$)은 Oil-200 시편과 Tmo-200 시편이 30.0 이상이나, Oil-180 시편은 18.4로 상대적으로 적게 변하였다. 열처리 시편 내층간의 평균 색차값 (${\Delta}E*$)은 6.0 이하로 세 열처리 조건 모두 시편 내층의 재색을 균일하게 변화시켰다고 할 수 있다.

• 한국자원식물학회지
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• 제10권3호
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• pp.247-249
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• 1997

Seed protein and oil content is important trait in the soybean. Both seed protein and oil content in this plant species is inherited quantitatively. A 68-plant $F_2$ segregation population derived from a mating between Mercury and PI 467.468 was evaluated with random amplified polymorphic DNA (RAPD) markers to identify QTL related to seed protein and oil content. Marker OPB12 was found to be associated with differences in seed protein content. Four markers, OPA09b, OPM07b, OPC14, and OPN11b had highly significant effects on seed oil content. By interval mapping, the interval between marker OPK3c and OPQ1b on linkage group 13 contained a QTL that explained 25.7% variation for seed oil content.

• 한국해양환경ㆍ에너지학회지
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• 제15권3호
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• pp.247-256
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• 2012

원유의 탄소안정동위원소비는 증발, 생물분해, 용해 등 풍화작용에 의해 큰 영향을 받지 않는 것으로 알려져 있어, 유출유의 기원을 확인하는 추적자로서 널리 사용되고 있다. 본 연구에서는 국내에 수입되고 있는 유류 중 주요 14종 원유와 제품유 1종의 분자단위 유지문 지표와 탄소안정동위원소비 조성을 분석하고, 이를 유지문으로 활용하여 각 지표의 유류 간 식별력을 비교하였다. Bintulu 원유와 제품유(B-C(1%)) 만이 다른 원유와 구별되는 고유한 alkane 분포패턴을 보였고, 나머지 원유들은 매우 유사한 분포특성을 나타내었다. Alkane 분자지표를 사용하였을 때, 원유를 크게 3개 그룹으로 분류할 수 있었으나 그룹 내 식별은 불가능하였다. PAHs 분자지표인 C2D/C2P와 C3D/C3P 이중지수를 이용해서 A.L., A.S.L., Foroozan, B-C(1%)을 다른 원유들로부터 구별할 수 있었으며, 4-mD/1-mD와 2/3-mD/1-mD 이중지수는 A.S.L., Bintulu, Oman 원유를 뚜렷이 식별할 수 있었다. 하지만 나머지 원유들은 매우 유사한 값을 가지고 있어서 원유 간 식별이 어려웠다. 반면 탄소안정동위원소비를 활용한 식별법은 A.L., A.M., Qatar-Marine, B-C(1%)를 제외한 나머지 모든 원유 사이의 식별을 가능하게 하였다. 개별화합물의 탄소안정동위원소 조성비를 활용한 유지문 분석법은 기존의 PAHs와 alkane의 대표적인 분자지표들과 비교했을 때 상대적으로 높은 원유 간 식별력을 보여 주었다.

• 한국수소및신에너지학회논문집
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• 제28권6호
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• pp.712-720
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• 2017

As Korean government has activated the renewable portfolio standard (RPS) since 2012, producers have been seeking and using the various renewable resources to meet the RPS quota. One of these efforts, Power Bio-Fuel oil demonstration project is being conducted to check the operability and compatibility with fossil fuel, Fuel oil (B-C) from 2014. The oil is a mixture of vegetable oil and animal fat or fatty acid ester of them and should satisfy some specification to use the power generation. The oil's quality and combustion characteristics are different from conventional oil, Fuel oil (B-C) in current power plant facility. In this study, it was investigated the storage stability and malodor intensity of Bio-Fuel oil.

• 약학회지
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• 제40권3호
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• pp.243-250
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• 1996

In order to formulate aqueous multivitamin solutions containing both oil-soluble (A, D, E) and water-soluble vitmains ($B_1,\;B_2,\;B_6,\;B_{12}$, C and niacinamide) in 1ml-dose, the effects of various additives such as cosolvents (propylene glycol, polyethylene glycol, glycerin), a sweetener (sorbitol) and a surfactant (Cremophor$^{\circledR}$ RH40) on the solubility of oil-soluble vitamins in water were evaluated. Cremophor$^{\circledR}$ RH40 showed the excellent capacity on the solubilization of oil-soluble vitamins, and the simultaneous addition of cosolvents and surfactant resulted in synergetic effects on the solubilization of oil-soluble vitamins. The effects of the combination of the cosolvents and sweetener on the stability of multivitamin solutions were also evaluated by determining the amount of vitmain A and $B_1$ remained in the solutions after storing at $40^{\circ}C$ for 9 weeks. The formulation consisting of Cremophor$^{\circledR}$ RH40 15%, PG 20%, and sorbitol 20% resulted in the best stability of vitamin A and $B_1$. The stability of vitamin A and $B_1$ in this formulation was evaluated at 50, 60, and $70^{\circ}C$ up to 40 days. The shelf-lives of vitamin A and $B_1$ in the formulation, calculated using the Arrhenius equation, were 1,521 days and 475 days at $20^{\circ}C$, respectively.

• 한국가구학회지
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• 제26권2호
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• pp.138-144
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• 2015

Among several thermal wood modification methods German oil heating technology was applied for color changing larch and paulowniawood specimens. They were heat treated at $200^{\circ}C$ for 3 hours in an autoclave filled with linseed oil. The CIE $L^*a^*b^*$ color indexes of the shells and cores of the oil heated specimens were measured. The color difference indexes between the oil heated and the control specimens of larch and paulowniawood were in the range of 6 and 12, which implies considerably different. The color difference indexes between the core layers of the larch and paulowniawood specimens were 4.3 and 1.7, respectively. It could be concluded that the specimens of the two species were color changed uniformly by oil heating.

• 생명과학회지
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• 제14권3호
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• pp.453-458
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• 2004

콩의 oil 및 단백질은 식품에서 매우 중용한 영양학적인 구성요소이다. Oil및 단백질과 같은 종자 구성물질들은 polygenetic 형질들로 되어있다. 본 시험은 큰올콩과${\times}$익산10호의 RIL 계통과 SSR marker를 이용하여 유전자 지도를 작성하고, 이를 바탕으로 oil 및 단백질 함량과 관련된 양적형질 유전자좌(QTLs)를 탐색하였다. Oil함량과 관련된 QTLs는 연관군 C2와 satt100과 연관군 DIb+W의 satt546및 연관군 L의 satt418의 세 개의 독립적인 QTLs를 확인하였다. 단백질 함량에 있어서는 연관군 B2와 J 및 L에 각각 satt556과 satt414 및 satt238의 marker에서 독립적인 QTLs를 확인하였다. 본시험의 결과, oil 및 단백질 함량과 관련된 공통의 QTL은 연관군 L이었다. 한편, oil 및 단백질과 같은 종자구성물질은 주로 환경적인 stress및 종자의 크기 등에 의해서 구성되어지는 것으로 생각된다.

• International Journal of Air-Conditioning and Refrigeration
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• 제9권1호
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• pp.20-28
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• 2001

In order to predict thermodynamic performance of refrigeration system, it is required to know the oil concentration of the refrigerant/oil mixture. The current method is to extract the working mixture and then to measure the oil weight. In this study, oil concentration is measured in si.tu way without any extraction of the working fluid. Based on the measurement, a working equation is presented as follows, C=a +b x t +c x $t^2$ +(d + e x t +f x $t^2$) x SG. C is oil concentration, t is temperature($^{\circ}C). SG Is specific gravity of mixture and a~f is coefficients The oil concentration ranges over 0~l2 wt% and the temperature ranges over 20~50$^{\circ}C. The specific gravity and temperature are measured using the on-line densimeter and thermometer. This working equation enables to predict the oil concentration without any extraction of the mixture. This equation can be applied for R-12/Naphthenic oil and R-134a/P0E oil liquid mixtures.

• International Journal of Air-Conditioning and Refrigeration
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• 제8권2호
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• pp.80-88
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• 2000

In order to predict thermodynamic performance of refrigeration system, it is required to know the oil concentration of the refrigerant/oil mixture. The current method is to extract the working mixture and then to measure the oil weight. In this study, oil concentration is measured in si.tu way without any extraction of the working fluid. Based on the measurement, a working equation is presented as follows, C=a +b x t +c x $t^2$ +(d + e x t +f x $t^2$) x SG. C is oil concentration, t is temperature($^{\circ}C). SG Is specific gravity of mixture and a~f is coefficients The oil concentration ranges over 0~l2 wt% and the temperature ranges over 20~50$^{\circ}C. The specific gravity and temperature are measured using the on-line densimeter and thermometer. This working equation enables to predict the oil concentration without any extraction of the mixture. This equation can be applied for R-12/Naphthenic oil and R-134a/P0E oil liquid mixtures.