• International Journal of Concrete Structures and Materials
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• 제9권3호
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• pp.381-390
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• 2015

Investigating the microstructure of hardened cement mixtures with the aid of advanced technology will help the concrete industry to develop appropriate binders for durable building materials. In this paper, morphological, mineralogical and thermogravimetric analyses of autoclave-cured mixtures incorporating ground dune sand and ground granulated blast furnace slag as partial cementing materials were investigated. The microstructure analyses of hydrated products were conducted using scanning electron microscopy (SEM), energy dispersive X-ray spectroscopy (EDX), differential thermal analysis (DTA), thermo-graphic analysis (TGA) and X-ray diffraction (XRD). The SEM and EDX results demonstrated the formation of thin plate-like calcium silicate hydrate plates and a compacted microstructure. The DTA and TGA analyses revealed that the calcium hydroxide generated from the hydration binder materials was consumed during the secondary pozzolanic reaction. Residual crystalline silica was observed from the XRD analysis of all of the blended mixtures, indicating the presence of excess silica. A good correlation was observed between the compressive strength of the blended mixtures and the CaO/$SiO_2$ ratio of the binder materials.

• 대한기계학회논문집B
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• 제35권2호
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• pp.137-143
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• 2011

본 연구는 4실린더 커먼레일 디젤엔진에 바이오디젤 혼합 디젤연료를 적용하였을 경우 엔진의 연소특성과 배출물 저감효과를 실험적으로 구한 것이다. 실험 연료는 바이오디젤 20%와 디젤연료 80%(체적분율)를 혼합한 BD20과 저유황디젤연료(ULSD)를 사용하였으며, 연료분사압과 엔진회전수를 변수로하여 실험을 수행하였다. 실험결과 B20과 ULSD 모두 연료분사압력이 증가함에 따라 NOx 배출농도는 증가하고, Soot 배출량은 감소하는 경향을 나타내었다. 특히 BD20의 경우 ULSD와 비교하여 NOx 배출농도는 다소 증가하였으나, Soot 배출량은 현저하게 감소하였다. 또한, 회전속도가 1000rpm에서 2000rpm으로 증가함에 따라 NOx 배출농도는 감소하고, Soot 배출량은 낮은 분사압력에서 현저히 증가하는 경향을 나타내었다.

• 대한기계학회논문집B
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• 제35권12호
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• pp.1359-1365
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• 2011

본 연구의 목적은 디젤-에탄올 혼합연료로 운전되는 디젤엔진에서 에탄올 혼합비율이 나노 크기 입자 배출 특성에 미치는 영향을 분석하는 것이다. 엔진의 연소 및 배기 배출물 특성은 배기량 373cc 의 단기통 디젤엔진과 배기 배출물 측정 장치, SMPS 를 이용하여 실험하였다. 그을음(soot) 배출은 착화지연 기간이 길어짐에 따라 증가하였다. 에탄올 혼합비율이 증가함에 따라 나노 입자의 총 개수 및 질량은 대체로 감소하는 경향을 나타냈다. 그러나 에탄올이 30% 혼합되었을 때 그을음(soot) 입자의 응결로 인해 큰 입자의 수 분포가 증가하였으며, 질량 또한 크게 증가하였다.

• 한국구조물진단유지관리공학회 논문집
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• 제16권6호
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• pp.56-62
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• 2012

본 연구는 초고강도콘크리트의 배합에 사용되는 3성분계 혼합시멘트의 최적조합을 도출하기 위한 실험연구이다. 3성분계 혼합시멘트는 포틀랜드시멘트, 고로슬래브 미분말 0%, 30%, 40%, 50% 및 플라이애시 0%, 10%, 20%, 30%로 구성하였다. 물결합재비 0.18의 초고강도콘크리트를 대상으로 각 실험체의 압축강도와 공극구조를 조사한 결과, 플라이애시 10%, 고로슬래그 미분말 30%를 혼합한 3성분계 혼합시멘트를 사용한 콘크리트의 압축강도는, 50nm 이상의 공극량 감소에 의해, Plain 콘크리트에 비해 현저히 증가하였다.

• Korean Chemical Engineering Research
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• 제50권3호
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• pp.464-470
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• 2012

DME 및 LPG 혼합연료에 대한 혼합도 분석 실험을 수행하였다. DME 20 wt%와 LPG(주성분 프로판) 80 wt%를 탱크에 순차적으로 주입하여 시간 경과에 따라 탱크의 각 측정부에서의 농도를 측정하였다. 먼저 DME가 주입되고 그 후에 프로판이 주입되면서 DME의 일부는 혼합이 되나 일부는 혼합이 되지 않고 밀도차에 의해서 탱크 하부로 가라앉게 되는 층상화 현상이 발생하였다. 1일 경과 시 약 0.2~0.3 wt%의 증가비율로 두 연료가 혼합되어 완전히 균일하게 되기까지 약 500시간 이상이 소요되었다. 또한 재순환 펌프를 가동하여 탱크 내 연료를 순환 시킨 후 혼합 연료의 성분을 측정한 실험에서는 DME와 프로판이 균일하게 혼합됨을 확인하였다.

• Investigative Magnetic Resonance Imaging
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• 제25권1호
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• pp.10-22
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• 2021

Purpose: To overcome the difficulty in building a large data set with a high-quality in medical imaging, a concept of 'blended-transfer learning' (BTL) using a combination of both source data and target data is proposed for the target task. Materials and Methods: Source and target tasks were defined as training of the source and target networks to reconstruct cardiac CINE images from undersampled data, respectively. In transfer learning (TL), the entire neural network (NN) or some parts of the NN after conducting a source task using an open data set was adopted in the target network as the initial network to improve the learning speed and the performance of the target task. Using BTL, an NN effectively learned the target data while preserving knowledge from the source data to the maximum extent possible. The ratio of the source data to the target data was reduced stepwise from 1 in the initial stage to 0 in the final stage. Results: NN that performed BTL showed an improved performance compared to those that performed TL or standalone learning (SL). Generalization of NN was also better achieved. The learning curve was evaluated using normalized mean square error (NMSE) of reconstructed images for both target data and source data. BTL reduced the learning time by 1.25 to 100 times and provided better image quality. Its NMSE was 3% to 8% lower than with SL. Conclusion: The NN that performed the proposed BTL showed the best performance in terms of learning speed and learning curve. It also showed the highest reconstructed-image quality with the lowest NMSE for the test data set. Thus, BTL is an effective way of learning for NNs in the medical-imaging domain where both quality and quantity of data are always limited.

• 한국환경농학회지
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• 제42권1호
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• pp.1-7
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• 2023

Super absorbent polymers (SAPs) are hydrophilic molecules that can absorb large amounts of water. This study was conducted to investigate the enhancement of the physicochemical properties of sand soil blended with three SAPs imbibed with 100, 150, and 200-fold water. Three treatments were applied, namely, 100SAP, 150SAP, and 200SAP. The three SAPs were blended at concentrations of 0% (control), 3%, 5%, 7%, and 10% with sand. The pH, electrical conductivity, and cation exchangeable capacity (CEC) of soil blended with the three SAPs were pH 6.35-6.46, 0.09-0.65 dS/m, and 1.42-1.92 cmol_c/kg, respectively, and their capillary porosity, total porosity, and saturated hydraulic conductivity were 21.0-29.3%, 39.2-48.7%, and 272-470 mm/hr. CEC, capillary porosity, total porosity, and saturated hydraulic conductivity of soil were positively correlated with the ratio of the SAPs (p<0.01). These results indicate that blending sand soil with SAPs increased CEC, capillary porosity, and saturated hydraulic conductivity, thus improving the nutrient-retention capacity, water-retention capacity, and permeability of the soil.

• Computers and Concrete
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• 제31권2호
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• pp.111-121
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• 2023

The influence of material composition such as aggregate types, addition of supplementary cementitious materials as well as exposed temperature levels have significant impacts on concrete residual mechanical strength properties when exposed to elevated temperature. This study is based on data obtained from literature for fly ash blended concrete produced with natural and recycled concrete aggregates to efficiently develop prediction models for estimating its residual compressive strength after exposure to high temperatures. To achieve this, an extensive database that contains different mix proportions of fly ash blended concrete was gathered from published articles. The specific design variables considered were percentage replacement level of Recycled Concrete Aggregate (RCA) in the mix, fly ash content (FA), Water to Binder Ratio (W/B), and exposed Temperature level. Thereafter, a simplified mathematical equation for the prediction of concrete's residual compressive strength using Gene Expression Programming (GEP) was developed. The relative importance of each variable on the model outputs was also determined through global sensitivity analysis. The GEP model performance was validated using different statistical fitness formulas including R², MSE, RMSE, RAE, and MAE in which high R² values above 0.9 are obtained in both the training and validation phase. The low measured errors (e.g., mean square error and mean absolute error are in the range of 0.0160 - 0.0327 and 0.0912 - 0.1281 MPa, respectively) in the developed model also indicate high efficiency and accuracy of the model in predicting the residual compressive strength of fly ash blended concrete exposed to elevated temperatures.

• Macromolecular Research
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• 제9권4호
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• pp.238-246
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• 2001

Properties of ternary blends of nylon 6 (Ny6), a thermotropic liquid crystalline polymer (TLCP, poly(ester amide), 20 wt%) and a maleic anhydride grafted polypropylene (2 wt%) (MAPP) were studied under various processing conditions. TLCP was pre-blended with MAPP first and then the binary one blended again with Ny6. The processing temperature of the second mixing was varied. Thermal properties show the partial miscibility of the ternary blend. The morphology of the TLCP phase in the first blending shows mostly in the fibril bundle shape, but varies between droplets and oriented fibrils after the second processing. Some of TLCP phase lost the fibril morphology during the second processing stage. The morphology variation invokes the change in tensile properties. Low extrusion temperature (270$\^{C}$) provides more fibril shapes, which are associated with less deformation in the second stage. The processing temperature effect was more evident when the draw ratio was high. High drawing was applicable due to the stabilizing action of tile compatibilizer.

• Corrosion Science and Technology
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• 제4권3호
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• pp.89-94
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• 2005

This paper presents the results of a study that was undertaken to optimize the ratio of the components of a new multi-component inhibitor blend composed of orthophosphate/ phosphonates/ acrylate copolymer/ isothiazolone. The effects of newly developed inhibitor on carbon steel dissolution in synthetic cooling water were studied through weight loss tests, electrochemical tests, scale tests, and micro-organism tests. The obtained results were compared to blank (uninhibited specimen) and showed that developed inhibitor revealed very good corrosion, scale, and micro-organism inhibition simultaneously. All measurements indicated that the efficiency of the blended mixture exceeded 90 %. The inhibitive effects arose from formation of protective films which might contain calcium phosphate, calcium phosphonate, and iron oxide. The nature of protective films formed on the carbon steel was studied by scanning electron microscopy (SEM) and auger electron spe ctroscopy (AES). Inhibitor used in this study appeared to have better performance for scale inhibition due to their superior crystal modification effect and excellent calcium carbonate scale inhibition properties. The effect of inhibitor on microorganisms was evaluated through minimum inhibitory concentration (MIC) test. All kinds of micro-organisms used in this study were inhibited under 78ppm concentration of inhibitor.