• 제목/요약/키워드: Concentration coefficient

검색결과 2,048건 처리시간 0.033초

나노 세리아 슬러리에 첨가된 연마입자와 첨가제의 농도가 CMP 연마판 온도에 미치는 영향

  • 김성준;강현구;김민석;박재근
    • 한국반도체및디스플레이장비학회:학술대회논문집
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    • 한국반도체및디스플레이장비학회 2003년도 추계학술대회 발표 논문집
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    • pp.122-125
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    • 2003
  • We investigated the effect of the abrasive and additive concentrations in Nano ceria slurry on the pad surface temperature under varying pressure through chemical mechanical polishing (CMP) test using blanket wafers. The pad surface temperature after CMP increased with the abrasive concentration and decreased with increase of the additive concentration in slurries for the constant down pressure. A possible mechanism is that the additive adsorbed on the film surface during polishing decreases the friction coefficient, hence the pad surface temperature gets lower with increase of the additive concentration. This difference of temperature was more remarkable for the higher concentration of abrasives. In addition, in-situ measurement of spindle motor was carried out during oxide and nitride polishing. The averaged motor current for oxide film was higher than that for nitride film, which means the higher friction coefficient.

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Sludge Returned CMAS에 의한 전기부속품제조공장 폐수처리

  • 김남천;이시진
    • 한국미생물·생명공학회지
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    • 제25권4호
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    • pp.427-433
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    • 1997
  • Sludge Returned CMAS process was applied to treat the wastewater from electric accessory manufacturing company while this type of wastewater was usually treated by chemical process. This result show that the removal rate of TCOD was about 70-80% regardless of hydraulic retention time, On the contrary, the removal rate of BOD was abtained in a range of 77-92% depending on hydraulic retention time. In order to remove more than 80% of organic materials with the proposed process, the F/M ratio should be maintained below 0.17. In this case, the calculated value of organic removal rate, Km, was calculated to be 1.26 hr$^{-1}$, and the ratio of cell synthesis/total energy was 0.32 and 0.26 for COD and BOD base, respectively. The yield coefficient was calculated to be 0.242 and the half velocity coefficient was 0.3 hr$^{-1}$. The value of endogenous respiration coefficient was 0.02 hr$^{-1}$. The measured effluent BOD concentration, MLSS concentration in aeration tank, oxygen uptake rate, and sludge production were matched relatively well with the calculated values using above coefficients, In order to optimize the dewatering of sludge, the hydraulic retention time was recommended to be 15. 6 hrs. These results indicate that the wastewater from an eletric accessory manufacturing company can be treated safely with a biological process.

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Correlation between chloride-induced corrosion initiation and time to cover cracking in RC Structures

  • Hosseini, Seyed Abbas;Shabakhty, Naser;Mahini, Seyed Saeed
    • Structural Engineering and Mechanics
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    • 제56권2호
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    • pp.257-273
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    • 2015
  • Numerical value of correlation between effective parameters in the strength of a structure is as important as its stochastic properties in determining the safety of the structure. In this article investigation is made about the variation of coefficient of correlation between effective parameters in corrosion initiation time of reinforcement and the time of concrete cover cracking in reinforced concrete (RC) structures. Presence of many parameters and also error in measurement of these parameters results in uncertainty in determination of corrosion initiation and the time to crack initiation. In this paper, assuming diffusion process as chloride ingress mechanism in RC structures and considering random properties of effective parameters in this model, correlation between input parameters and predicted time to corrosion is calculated using the Monte Carlo (MC) random sampling. Results show the linear correlation between corrosion initiation time and effective input parameters increases with increasing uncertainty in the input parameters. Diffusion coefficient, concrete cover, surface chloride concentration and threshold chloride concentration have the highest correlation coefficient respectively. Also the uncertainty in the concrete cover has the greatest impact on the coefficient of correlation of corrosion initiation time and the time of crack initiation due to the corrosion phenomenon.

수리모형을 이용한 자연하천에서 종확산계수 추정 (An Esitimation of Lognitudinal Dispersion Coefficient in Natural Stram Using Hydraulic Model)

  • 윤세의;한건연;한정석;김정수
    • 한국수자원학회논문집
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    • 제33권4호
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    • pp.407-417
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    • 2000
  • 중랑천 하류부에서 종확산계수를 추정하기 위하여 중량천 월릉교 부근의 구간을 1/20로 축소한 정상 수리모형을 이용하였다. 중랑천의 갈수시의 유량을 고려하여 실험을 실시하였으며, 염료는 Rhodamine B를 사용하였다. 염료의 농도-전도도 곡선을 구하였고, 수리모형에서의 전도도를 측정하여 이를 농도로 확산하였다. 종확산계수를 계산하기 위하여 최대농도와 최대농도의 도달시간 관계를 이용하였다. 수리모형 실험으로 측정된 종확산계수를 기존의 경험식들과 비교하였다. 중랑천과 비교적 유사한 수리량 조건을 갖는 하천에서 현장 실측한 종확산계수 값과 비교하였다. Parker(1961)의 식으로 산정된 값은 실측치에 비해 작게 산정되었고, Liu(1977) 및 Iwasa와 Aya(1991)의 식으로 산정된 값은 크게 산정되었으며, McQuivey와 Keefer(1974), Fischer(1975), Magazine 등(1988) 및 Seo와 Cheng(1988)의 식으로 산정된 값은 비교적 근사한 값을 보이고 있었다. 또한 실측치는 현장 실측값과도 비교적 근사한 값을 나타내고 이 . 중랑천의 종확산계수는 $10\textrm{m}^2/s$정도로 추정된다.로 추정된다.

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Quantification of Gadolinium Concentration Using GRE and UTE Sequences

  • Park, So Hee;Nam, Yoonho;Choi, Hyun Seok;Woo, Seung Tae
    • Investigative Magnetic Resonance Imaging
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    • 제21권3호
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    • pp.171-176
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    • 2017
  • Purpose: To compare different MR sequences for quantification of gadolinium concentration. Materials and Methods: Gadolinium contrast agents were diluted into 36 different concentrations. They were scanned using gradient echo (GRE) and ultrashort echo time (UTE) and R1, $R2^*$ and phase values were estimated from collected data. For analysis, ROI masks were made for each concentration and then ROI value was measured by mean and standard deviation from the estimated quantitative maps. Correlation analysis was performed and correlation coefficient was calculated. Results: Using GRE sequence, R1 showed a strong linear correlation at concentrations of 10 mM or less, and $R2^*$ showed a strong linear correlation between 10 to 100 mM. The phase of GRE generally exhibited a negative linear relationship for concentrations of 100 mM or less. In the case of UTE, the phase had a strong negative linear relationship at concentrations 100 mM or above. Conclusion: R1, which was calculated by conventional GRE, showed a high performance of quantification for lower concentrations, with a correlation coefficient of 0.966 (10 mM or less). $R2^*$ showed stronger potential for higher concentrations with a correlation coefficient of 0.984 (10 to 100 mM), and UTE phase showed potential for even higher concentrations with a correlation coefficient of 0.992 (100 mM or above).

D 정수장 소독부산물 예측모델 선정 (Predictive Model Selection of Disinfection by-products (DBPs) in D Water Treatment Plant)

  • 김성준;이형원;황정석;원찬희
    • 한국물환경학회지
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    • 제26권3호
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    • pp.460-467
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    • 2010
  • For D-WTP's sedimentation basin and distribution reservoir, and water tap the predictive models proposed tentatively herein included the models for estimating TTHM concentration in precipitated water, for treated water and for tap water, and the estimated correlation formula between treated water's TTHM concentration and tap water. As for TTHM-concentration predictive model in sedimentation water, the coefficient of determination is 0.866 for best-fitted short-term $DOC{\times}UV_{254}$ based Model (TTHM). As for $HAA_5$-concentration predictive model in sedimentation water, the coefficient of determination is 0.947 for the suitable $UV_{254}$-based model ($HAA_5$). In case of the predictive model in treated water, the coefficient of determination is 0.980 for best-fitted $DOC{\times}UV_{254}$ based model (TTHM) using coagulated waters, while the coefficient of determination is 0.983 for best-fitted $DOC{\times}UV_{254}$ based model ($HAA_5$) using coagulated waters, which described the $HAA_5$ concentration well. However, the predictive model for tap water could not be compatible with the one for treated water, only except for possibility inducing correlation formula for prediction, [i.e., the correlation formula between TTHM concentration and tap water was verified as TTHM (tap water) = $1.162{\times}TTHM$ (treated water), while $HAA_5$ (tap water) = $0.965{\times}HAA_5$ (treated water).] The correlation analysis between DOC and $KMnO_4$ consumption by process resulted in higher relationship with filtrated water, showing that its regression is $DOC=0.669{\times}KMnO_4$ consumption - 0.166 with 0.689 of determination coefficient. By substituting it to the existing DOC-based model ($HAA_5$) for treated water, the consequential model formula was made as follows; $HAA_5=8.35(KMnO_4\;consumption{\times}0.669-0.166)^{0.701}(Cl_2)^{0.577}t^{0.150}0.9216^{(pH-7.5)}1.022^{(Temp-20^{\circ}C)}$

초저이온농도에서 이온교환수지에 의한 실리카제거 평형특성 (Equilibrium Property of Ion Exchange Resin for Silica Removal at Ultralow Concentration)

  • 윤태경;이강춘;노병일
    • 한국환경과학회지
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    • 제16권8호
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    • pp.907-912
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    • 2007
  • Ion exchange resin was used to remove silica ion at ultralow concentration. The effects of temperature, type of ion exchange resin and single/mixed-resin systems on removal efficiency were estimated. As temperature increased, the slope of concentration profile became stiff, and the equilibrium concentration was higher. In the single resin system, the removal of silica was continued up to 400 min, but the silica concentration was recovered to initial concentration after 400 min due to the effect of dissolved $CO_2$. In the mixed-resin system it took about 600 min to reach equilibrium. Because of faster cation exchange reaction than anion exchange reaction, the effect of $CO_2$ could be removed. Based on the experimental results carried out in the mixed-resin system, the selectivity coefficients of silica ion for each ion exchange resin were calculated at some specific temperatures. The temperature dependency of the selectivity coefficient was expressed by the equation of Kraus-Raridon type.

A Study on Concentration and Centralization of Tonnage in Korean Shipping(A Comparative Study with Egypt)

  • Kim, Hyun-Deok;Ahn, Ki-Myung;Shin, Yong-John
    • 한국항해항만학회지
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    • 제28권2호
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    • pp.121-127
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    • 2004
  • The shipping industry can be explained by a growing process of concentration and centralization of tonnage. A few largest shipping company control a great deal of shipping tonnage in the total tonnage through the process of concentration and centralization of tonnage in shipping over time. It confirms that a decreasing number of operators take an increasing quantity of tonnage in the total tonnage. Thus, the extremely dualistic structure (extremely unequal distribution of tonnage) are shown not only in the shipping industry in a given country but also in liner shipping in the world In this paper, the two countries, that is, Korea and Egypt, are compared considering the absolute size of tonnage and shipping policy in tenn., of concentration and centralization of tonnage in shipping. In order to measure the degree of concentration of tonnage in shipping, the quantitative measurements; the Lorenz curve and Gini coefficient are introduced. But it should be supplemented with the qualitative measures of tonnage in a given country.

측방 유입 수문곡선 유도를 위한 저류상수 및 집중시간의 유도 (Derivation of Storage Coefficient and Concentration Time for Derivation of Lateral Inflow Hydrograph)

  • 유철상;김하영;박창열
    • 한국수자원학회논문집
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    • 제45권3호
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    • pp.243-252
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    • 2012
  • 본 연구에서는 측방유입의 수문학적 해석을 시도해 보았다. 측방유입의 순간단위도는 여러 개의 격자가 만들어 내는 순간응답의 합으로 나타내었으며, 이는 Muskingum 하도추적모형을 수문학적으로 재해석하여 지체와 저류를 고려한 순간단위도를 이용한 것이다. 유역형상에 따른 측방유입 순간단위도의 변화를 살펴보기 위해 임의로 사각형과 삼각형 유역의 가상유역을 설정하여 각각에 해당하는 순간단위도를 유도하였다. 유도된 순간단위도는 각각 선형하천모형과 선형저수지모형의 합으로 이루어지며, 유역형상에 따라 서로 다른 특징을 보이게 된다. 집중시간과 저류상수의 일반적인 정의를 이용하여 측방유입의 저류상수를 수식적으로 유도하였으며, 그 결과 측방유입의 저류상수는 유역의 폭과 길이 및 주하도의 수문학적 특성을 알면 쉽게 산정할 수 있음을 확인하였다.

Fleece Phenotype Influences Susceptibility to Cortisol-induced Follicle Shutdown in Merino Sheep

  • Ansari-Renani, H.R.;Hynd, P.I.;Aghajanzadeh, A.
    • Asian-Australasian Journal of Animal Sciences
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    • 제20권11호
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    • pp.1761-1769
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    • 2007
  • This experiment was conducted to determine the extent to which susceptibility to cortisol-induced follicle shutdown is influenced by fleece phentotype. Twenty Finewool (10 sheep low fibre diameter, low coefficient of fibre diameter-LL and 10 low fibre diameter, high coefficient of variation of fibre diameter-LH) and twenty Strongwool (10 low fibre diameter, low coefficient of variation of fibre diameter-HL and 10 high fibre diameter and high coefficient of variation of fibre diameter-HH) sheep of 9 months of age were individually penned in an animal house and were injected intramuscularly with an aqueous suspension of hydrocortisone acetate at a rate of 1.42 mg/kg body weight for a period of two weeks. Fibre diameter was measured from clipped tattooed patch wool samples. Follicle activity was measured by histological changes in skin biopsies taken weekly. Blood samples were collected at two-week intervals and plasma cortisol measured. Increased plasma cortisol concentration significantly (p<0.05) reduced clean wool production and mean fibre diameter dropped to its lowest level four weeks after commencement and two weeks after the cessation of cortisol injection. Elevation of plasma cortisol concentration significantly (p<0.0001) increased the percentage of inactive follicles two weeks after injection started. High fibre diameter groups (Strongwool sheep; i.e. HL+HH) had significantly (p<0.0001) higher percentage of follicle shutdown than low fibre diameter groups (Finewool sheep; i.e. LL+LH). Average percentage of shutdown follicles for Finewool (LL+LH) and Strongwool (HL+HH) Merino sheep was $9.8{\pm}0.9$ and $13.5{\pm}0.9$ respectively. Shutdown of primary follicles was more pronounced in Finewool than Strongwool sheep. There was no significant effect of coefficient of variation of fibre diameter on propensity to follicle shutdown induced by exogenous cortisol. It is concluded that elevation in plasma cortisol concentration is inhibitory to the normal activity of follicles in Strongwool sheep but that variation in fibre diameter has little or no effect.