• 한국진공학회:학술대회논문집
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• 한국진공학회 2015년도 제49회 하계 정기학술대회 초록집
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• pp.190.1-190.1
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• 2015

Graphite has excellent mechanical and physical properties. It is known to advanced materials and is used to materials for molds, thermal treatment of furnace, sinter of diamond and cemented carbide tool etc. SiC materials are coated on the surface and holes of graphite to protect particles emitted from porous graphite with 5%~20% porosity and make graphite hard surface. SiC materials have high durability and thermal stability. Thermal CVD method is widely used to manufacture SiC thin films but high cost of machine investment and production are required. SiC thin films manufactured by Si reaction liquid and vapore with carbon are effective because of low cost of machine and production. SiC thin films made by vapor silicon infiltration into porous graphite can be obtained for shorter time than liquid silicon. Si materials are evaporated to the graphite surface in about $10^{-2}$ torr and high temperature. Si materials are melted in $1410^{\circ}C$. Si vapor is infiltrated into the surface hole of porous graphite and $Si_xC_y$ compound is made. $Si_x$ component is proportional to the Si vapor concentration. Si diffusion coefficient is estimated from quadratic equation obtained by Fick's second law. The steady stae is assumed. Si concentration variation for the depth from graphite surface is fitted to quadratic equation. Diffusion coefficient of Si vapor is estimated at about $10^{-8}cm^2s^{-1}$.

• 한국공간구조학회논문집
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• 제23권3호
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• pp.87-94
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• 2023

Chloride is one of the most common threats to reinforced concrete (RC) durability. Alkaline environment of concrete makes a passive layer on the surface of reinforcement bars that prevents the bar from corrosion. However, when the chloride concentration amount at the reinforcement bar reaches a certain level, deterioration of the passive protection layer occurs, causing corrosion and ultimately reducing the structure's safety and durability. Therefore, understanding the chloride diffusion and its prediction are important to evaluate the safety and durability of RC structure. In this study, the chloride diffusion coefficient is predicted by machine learning techniques. Various machine learning techniques such as multiple linear regression, decision tree, random forest, support vector machine, artificial neural networks, extreme gradient boosting annd k-nearest neighbor were used and accuracy of there models were compared. In order to evaluate the accuracy, root mean square error (RMSE), mean square error (MSE), mean absolute error (MAE) and coefficient of determination (R2) were used as prediction performance indices. The k-fold cross-validation procedure was used to estimate the performance of machine learning models when making predictions on data not used during training. Grid search was applied to hyperparameter optimization. It has been shown from numerical simulation that ensemble learning methods such as random forest and extreme gradient boosting successfully predicted the chloride diffusion coefficient and artificial neural networks also provided accurate result.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2000년도 춘계학술대회 논문집
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• pp.833-836
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• 2000

The mechanical and thermal load. and thermal softening which is happened by the high temperature of die, in hot and warm forging, cause wear. heat checking and plastic deformation, etc. This study is for the effects of solid lubricants and surface treatments for warm forging die Because cooling effect and low friction are essential to the long lift of dies. optimal surface treatments and lubricants are very important to hot and warm forging Process. The heat that is generated by repeated forging processes. and its transfer are important factors to affect die life. The main factors, which affect die hardness and heat transfer, are surface treatments and lubricants, which are related to thermal diffusion coefficient and heat transfer coefficient, etc. For verifying these. experiments art performed for diffusion coefficient and heat transfer coefficient in various conditions - different initial billet temperatures and different loads. Carbonitriding and ionitriding are used as surface treatments. and oil- base and water-base graphite lubrirants are used. The effects of lubricant and surface treatment for warm forging die lift are explained by their thermal characteristics.

• 한국안전학회지
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• 제19권3호
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• pp.89-94
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• 2004

Most reinforcements in concrete are constructed by steel. Corrosion of reinforcement is the main cause of damage and early failure of reinforced concrete structures. The corrosion is mainly professed by the chloride ingress. In general, chloride in concrete can be discriminated by two components, total chloride and fire chloride. This paper provides a testing method on the coefficient of chloride diffusion in concrete and the relationship between total chloride and free chloride in concrete for the composition of predicting model on diffusion rate of chloride. In order to complete this predicting model, this study will use chloride penetration characteristic, diffusion coefficient and experiment of color change on silver nitrate solution. This predicting model is going to help that grasp special quality on salt content inclusion of concrete structure that is exposed in chloride environment. Accurate predicting model can be effectively used not only in selecting of repair time but also in preventing from various deteriorations.

• 한국환경보건학회지
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• 제34권3호
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• pp.219-225
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• 2008

Many building materials may contain high concentrations of volatile organic compounds (VOCs) and other hazardous pollutants(HAPs). Specifically, VOCs discharged by indoor building material may cause "new house" syndrome, atopic dermatitis etc. The diffusion coefficient and initially contained total VOC quantity were determined using microbalance experiments and small chamber tests. Interactions between volatile organic compounds (VOCs) and vinyl flooring (VF), a relatively homogenous, diffusion-controlled building material, were characterized. Rapid determination of the material/air partition coefficient (K) and the material-phase diffusion coefficient (D) for each VOC was achieved by placing thin VF slabs in a dynamic microbalance and subjecting them to controlled sorption/desorption cycles. K and D are shown to be independent of concentration for all of the VOCs and water vapor. This approach can be applied to other diffusion-controlled materials and should facilitate the prediction of their source/sink behavior using physically-based models.

• Korean Journal of Radiology
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• 제20권5호
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• pp.791-800
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• 2019

Objective: To compare various models of diffusion-weighted imaging including monoexponential apparent diffusion coefficient (ADC), biexponential (fast diffusion coefficient [D_f], slow diffusion coefficient [D_s], and fraction of fast diffusion), stretched-exponential (distributed diffusion coefficient and anomalous exponent term [α]), and kurtosis (mean diffusivity and mean kurtosis [MK]) models in the differentiation of renal solid masses. Materials and Methods: A total of 81 patients (56 men and 25 women; mean age, 57 years; age range, 30-69 years) with 18 benign and 63 malignant lesions were imaged using 3T diffusion-weighted MRI. Diffusion model selection was investigated in each lesion using the Akaike information criteria. Mann-Whitney U test and receiver operating characteristic (ROC) analysis were used for statistical evaluations. Results: Goodness-of-fit analysis showed that the stretched-exponential model had the highest voxel percentages in benign and malignant lesions (90.7% and 51.4%, respectively). ADC, D_s, and MK showed significant differences between benign and malignant lesions (p < 0.05) and between low- and high-grade clear cell renal cell carcinoma (ccRCC) (p < 0.05). α was significantly lower in the benign group than in the malignant group (p < 0.05). All diffusion measures showed significant differences between ccRCC and non-ccRCC (p < 0.05) except D_f and α (p = 0.143 and 0.112, respectively). α showed the highest diagnostic accuracy in differentiating benign and malignant lesions with an area under the ROC curve of 0.923, but none of the parameters from these advanced models revealed significantly better performance over ADC in discriminating subtypes or grades of renal cell carcinoma (RCC) (p > 0.05). Conclusion: Compared with conventional diffusion parameters, α may provide additional information for differentiating benign and malignant renal masses, while ADC remains the most valuable parameter for differentiation of RCC subtypes and for ccRCC grading.

• 한국건축시공학회지
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• 제9권6호
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• pp.71-78
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• 2009

하중을 고려한 염분침투성의 평가가 대단히 중요한 것으로 확인되었다. 본 연구에서는 압축응력하에서 Plain콘크리트에서는 47%정도, BFS콘크리트에서는 89%정도 증가 하는 것으로 나타났다. 무하중 상태에서 BFS를 혼입한 콘크리트의 확산계수가 BFS 무혼입 콘크리트에 비해 적은 것이 확인되었다. 이러한 영향은 압축응력이 발생하는 환경하에서도 같은 경향을 나타내었다. 압축응력이 작용하는 환경 하에서 BFS콘크리트는 Plain콘크리트와 같이 하중의 증가와 함께 확산계수가 증가하는 것으로 확인 되었다. 또한, Plain콘크리트에 비해 압축하중의 영향을 크게 받는 것으로 확인 되었다. BFS의 비표면적이 높을수록 확산 계수가 작은 것으로 확인되었고, 이러한 경향은 고응력 환경에서 현저히 나타나는 것이 확인되었다. BFS의 치환율이 증가할수록 확산계수가 작은 것이 확인되었다. 또한, 압축응력이 작용하는 환경 하에서 BFS의 치환에 의한 염분침투성의 억제 효과가 더욱 더 현저히 나타나는 것으로 확인되었다.

• 한국재난정보학회 논문집
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• 제11권4호
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• pp.548-555
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• 2015

본 연구에서는 동절기 교통안전을 위해 교량 구조물에 사용되는 제설제에 의한 염화물 침투 특성을 조사하여 사용수명을 평가하기 위해 수행되었다. 이 연구에서는 준공 후 공용기간이 약 10년이 경과한 10개 교량의 지점에서 깊이별 염화물 농도 분포를 조사하여 제설제에 의한 염해를 예측하기 위한 표면 염화물 농도와 확산계수를 도출하였다. 얻어진 정보를 바탕으로 Life-365 프로그램을 이용하여 각 지점의 사용수명을 평가하였다. 대상 교량의 사용수명 평가 결과 10개 지점 모두 100년 이상의 사용수명을 가질 것으로 판단되었다. 추가적으로 콘크리트의 배합에 기인한 확산계수를 구하여 제설제에 의한 염해와 해수에 의한 염해의 경우에 대해 확산특성을 비교 분석하고 사용수명을 평가하였다.

• 방사성폐기물학회지
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• 제9권1호
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• pp.33-40
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• 2011

[ $Ag_2O$ ] 첨가한 압축 벤토나이트에 대하여 관통 확산법으로 요오드 이온의 이동 특성을 관찰하였다. $Ag_2O$를 첨가하지 않은 압축 벤토나이트와 마찬가지로 $Ag_2O$를 첨가한 압축 벤토나이트에서도 요오드 이온은 확산에 의하여 이동하는데, $Ag_2O$를 첨가한 압축 벤토나이트는 $Ag_2O$를 첨가하지 않은 압축 벤토나이트에 비하여 요오드 이온의 초기 누출 시간이 지연되는 것으로 나타났다. $Ag_2O$를 첨가한 압축 벤토나이트에서 요오드 이온의 초기 누출 시간 지연은 확산 용액으로 순수 요오드 이온 수용액을 사용하였을 때 뿐만 아니라 0.1 M NaCl-요오드 이온 수용액을 사용하였을 때에도 관찰되었다. 또한 $Ag_2O$를 첨가한 압축 벤토나이트의 겉보기 확산 계수는 $Ag_2O$를 첨가하지 않은 압축 벤토나이트의 겉보기 확산 계수보다 낮은 값을 나타내었다. $Ag_2O$를 첨가하지 않은 압축 벤토나이트의 유효 확산 계수는 기존 문헌에 보고된 값과 거의 일치하는 결과를 얻었으며, $Ag_2O$를 첨가한 압축 벤토나이트에서 요오드 이온의 유효 확산 계수는 $Ag_2O$ 첨가에 따라 대체적으로 감소하는 경향을 나타내었다.

• 한국구조물진단유지관리공학회 논문집
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• 제21권6호
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• pp.83-90
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• 2017

원전콘크리트는 두꺼운 벽체를 가진 매스콘크리트 구조이며 시공초기에 건조수축 및 수화열에 따른 균열이 발생하기 쉽다. 또한 냉각수를 항상 필요로 하므로 해안가에 위치하는데, 균열이 발생한 콘크리트에서는 염화물 이온의 유입으로 인해 철근 부식이 빠르게 발생한다. 본 연구에서는 6000 psi 급 고강도 원전콘크리트 배합을 이용하여 재령 및 균열에 따른 확산계수의 변화를 분석하였다. 이를 위해 재령 56일, 180일, 365일 동안 양생된 콘크리트에 균열폭을 0.0~1.4 mm까지 유도하였으며 정상상태의 촉진 확산실험을 수행하였다. 균열폭의 증가에 따라 확산계수는 최대 2.7~3.1배로 증가하였으며, 재령의 증가에 따른 확산계수의 저감성이 크게 평가되었다. 또한 180일 동안 비말대에 노출된 균열부 콘크리트에 대하여 겉보기 확산계수 및 표면염화물량을 평가하였으며, 촉진 실험결과와 비교를 수행하였다.