Heavy bitumen scattered in the underground sedimentary layer is a kind of unconventional energy source, and by extracting it, a production well is excavated in the sedimentary layer and high-temperature and high-pressure steam is injected to reduce the viscosity of bitumen and recover it to the ground steam assisted method is applied. As a recovery method that uses the steam effect of the dilution effect of solvent injection, it is a recovery method that can increase thermal efficiency. In this study, the process system of the central processing facility(CPF) of the hybrid steam-solvent recovery method that injects solvent into the existing steam assisted method was analyzed, and the core facilities for each process were identified, and hybrid steam-solvent recovery compared to the existing steam assisted method. In the case of the method, it was evaluated that the amount of steam supply and all utility costs decreased according to the solvent injection.

Novel Ni- and Fe-based alloys are developed to impart improved mechanical properties and corrosion resistance. The designed alloys are manufactured as a powder and deposited on a steel substrate using a high-velocity oxygen-fuel process. The coating layer demonstrates good corrosion resistance, and the thus-formed passive film is beneficial because of the Cr contained in the alloy system. Furthermore, during low-temperature heat treatment, factors that deteriorate the properties and which may arise during high-temperature heat treatment, are avoided. For the heattreated coating layers, the hardness increases by up to 32% and the corrosion resistance improves. The influence of the heat treatment is investigated through various methods and is considered to enhance the mechanical properties and corrosion resistance of the coating layer.

대왕자바리의 대량생산을 위한 적정 염분을 구명하였다. 각 염분별 노출시킨 대왕자바리의 생 존율은 0 psu에서 노출 4일째 모두 폐사하였으며, 염분 5 psu 이상에서 생존율은 100%였다. 성 장률은 염분 5 psu 이상에서 염분 상승에 따라 체중과 체장은 모두 증가하였으며, 염분 30 psu (대조구)에서 성장률은 가장 높았다. 먹이섭취량은 염분이 하강함에 따라 감소하는 경향을 보 였다. 염분 3 psu에서 먹이섭취는 없었으며, 염분 20, 25 및 30 psu 간에 유의한 차이는 없었다. 염분별 혈액 삼투질농도는 염분 5~30 psu에서 341~368 mg Osmol/㎏였다. 염분변화에 따른 산소소비율은 30 psu(대조구)에서 163.6±22.3 mg O2/㎏ fish/h으로 유의하게 높았다. 염분변화 에 따른 SOD, CAT 및 GSH-PX는 염분 15 psu에서 가장 높았다. 따라서 대왕자바리 생존 최저 임계염분은 5 psu이며, 양성을 위한 적정 염분은 20~30 psu으로 추정된다.

본 논문에서는 반도체 특성의 단일벽 탄소나노튜브(semi-SWNTs)와 페로브스카이트(perovskite) 양자 점을 혼합하여 SWNT의 높은 전하 이동 특성과 양자점의 고효율 광전 특성을 동시에 가지는 용액공정 가 능한 기반 고성능 광센서를 개발하기 위한 연구를 수행하였다. 직경이 작은 SWNT를 공액 구조 고분자 반도체를 이용해 선택적으로 분리/분산하는 방법으로 제조하여 포토트랜지스터의 반도체 채널 층으로 활 용하고, 가시광 빛에 높은 흡광도를 가지는 양자점을 다양한 조성과 구조를 가지는 광활성층으로 제조하 여 그 특성을 비교 분석하였다. 이 결과 semi-SWNTs와 페로브스카이트 양자점 모두 단독으로 TFT에 사 용하였을 경우 우수한 트랜지스터 특성과는 별개로 광전효과가 크게 나타나지 않았으며, 두 종류 이상의 반도체 소재를 융합하여 사용할 경우 양자점에 흡수된 빛에 의해 엑시톤이 형성되고 이종 접합 계면에서 전자와 정공의 분리가 쉽게 이루어지도록 유도함으로써 낮은 광량에서도 높은 효율을 가지는 포토트랜지 스터를 개발할 수 있었다. 향후 지속적인 연구개발을 통해 고유연/저가 광 센서 제품 개발과 레이더, 이미 지 센서, 웨어러블 헬스케어 등의 다양한 분야에 하이브리드 반도체 포토트랜지스터가 응용될 수 있을 것 으로 기대한다.

Electrochemical water splitting is an important process for next generation of eco-friendly energy systems. The oxygen evolution reaction (OER), which occurs at an anode during the process, requires efficient electrocatalysts to reduce activation energies. Although Ru- or Ir-containing materials show excellent electrocatalytic activities, their high cost is a critical drawback. Consequently, the development of efficient electrocatalysts composed of low-cost metal components is a great challenge. In this study, we develop a new route to produce a hybrid material (Fe–NC) containing Fe3C particles dispersed on the surface of N-doped carbon (NC) materials by heat treatment of a mixture of urea and Fe(II)Cl2(H2O)4. Microscopic analyses prove that the Fe3C particles are placed on the surfaces of thin NC materials. Additionally, various characterizations reveal that the particles contain Fe3C structure. Fe–NC shows good electrocatalytic properties with onset and overpotentials of 1.57 V and 545 mV, respectively, for OER in KOH electrolyte. This study suggests the possibility of the use of Fe3C- based composites as OER electrocatalysts.

In this present investigation, machinability studies on novel aluminum composite with hybrid reinforcements of copper-coated 4% carbon fibers (CFs) and 3% nanoclay in AA6026 matrix fabricated by compocasting method is performed. Step drill bit and multifaceted drill bit are used by adopting central composite design (CCD) in response surface methodology (RSM). The outcomes show that, with a rise in rotational speed surface irregularities, resultant force and material removal rate (MRR) intensifies, and with the additional rise in rotational speed, all the outputs decrease considerably. High MRR, resultant cutting force, and surface roughness are obtained with multifaceted carbide drills, compared with a step drill. Desirability function is used to maximize the MRR and minimize the resultant cutting forces considering the constant surface roughness of 3 μm. The optimal values are rotational speed of 1285 rpm, feed rate of 60 mm/min with the step drill bit, producing an MRR of 0.0439 kg/sec and a resultant cutting force of 185.818 N. The second-order empirical models are developed for outputs, which are fed into the non-traditional metaheuristic Evaporation Rate-based Water Cycle Algorithm (ER-WCA) therefore the lower objective value is achieved with step drill of 51.7421. It is found that using a step drill the machinability performance of this hybrid nanocomposite is well improved than the machining with other drill bits. This composite fulfills the norms of 2000/53/CE-ELV European environmental directives.

In Korea, five major ports have been designated as sulfur oxide emission control areas to reduce air pollutant emissions, in accordance with Article 10 of the “Special Act on Port Air Quality” and Article 32 of the “Ship Pollution Prevention Regulations”. As regulations against vesseloriginated air pollutants (such as PM, CO2, NOx, and SOx) have been strengthened, the Ministry of Oceans and Fisheries(MOF) enacted rules that newly built public ships should adopt eco-friendly propulsion systems. However, particularly in diesel–electric hybrid propulsion systems,the demand for precise control schemes continues to grow as the fuel saving rate significantly varies depending on the control strategy applied. The conventional Power Take In–Power Take Off(PTI–PTO) mode control adopts a rule-based strategy, but this strategy is applied only in the low-load range and PTI mode; thus, an additional method is required to determine the optimal fuel consumption point. The proposed control method is designed to optimize fuel consumption by applying the equivalent consumption minimization strategy(ECMS) to the PTI–PTO mode by considering the characteristics of the specific fuel oil consumption(SFOC) of the engine in a diesel–electric hybrid propulsion system. To apply this method, a specific fishing vessel model operating on the Korean coast was selected to simulate the load operation environment of the ship. In this study, a 10.2% reduction was achieved in the MATLAB/SimDrive and SimElectric simulation by comparing the fuel consumption and CO2 emissions of the ship to which the conventional rule-based strategy was applied and that to which the ECMS was applied.

The introduction of autonomous underwater gliders (AUGs) specifically addresses the reduction of operational costs that were previously prohibited with conventional autonomous underwater vehicles (AUVs) using a "scaling-down" design philosophy by utilizing the characteristics of autonomous drifters to far extend operation duration and coverage. Long-duration, wide-area missions raise the cost and complexity of in-water testing for novel approaches to autonomous mission planning. As a result, a simulator that supports the rapid design, development, and testing of autonomy solutions across a wide range using software-in-the-loop simulation at faster-than-real-time speeds becomes critical. This paper describes a faster-than-real-time AUG simulator that can support high-resolution bathymetry for a wide variety of ocean environments, including ocean currents, various sensors, and vehicle dynamics. On top of the de facto standard ROS-Gazebo framework and open-sourced underwater vehicle simulation packages, features specific to AUGs for ocean mapping are developed. For vehicle dynamics, the next-generation hybrid autonomous underwater gliders (Hybrid-AUGs) operate with both the buoyancy engine and the thrusters to improve navigation for bathymetry mappings, e.g., line trajectory, are is implemented since because it can also describe conventional AUGs without the thrusters. The simulation results are validated with experiments while operating at 120 times faster than the real-time.

Activated corrosion products deposited on the reactor coolant system in a nuclear power plant should be removed to reduce the radiation exposure to workers. Chemical decontamination processes using organic acids have been widely applied to remove the activated corrosion products. However, they are highly corrosive to the base metal and generate a considerable amount of ion exchange resin waste, which is hard to be treated. In order to resolve this problem, KAERI has been developed a chemical decontamination process using chelate-free inorganic acid, HyBRID (Hydrazine Based Reductive metal Ion Decontamination) process. Especially, the Cyclic SP (Sulfuric acid/Permanganate)- HyBRID process was suggested as the decontamination process for applying to the remove the double oxide layer generated on the reactor coolant system in the pressurized water reactor (PWR). During the Cyclic SP-HyBRID process, the process is continuously applied without discharging or recharging of the decontamination process solution from the primary circuit. Thus, it is necessary to include the removal processes of the decontamination reagents middle of the Cyclic SP-HyBRID process, e.g., ‘Mn removal step’ for removing the permanganate ions and ‘hydrazine decomposition step’ for decomposition of the remaining hydrazine. During these removal processes, the metal ions can also be removed from the process solution. In this study, the behaviors of metals were investigated during the Cyclic SP-HyBRID process. The concentration changes of metal ions in the process solution were analyzed using atomic absorption (AA) spectroscopy. The metal precipitates generated during the process were characterized using X-ray diffraction (XRD) and Fourier Transform Infrared (FT-IR) spectroscopy. From the results of the analysis, it was observed that the metal ions dissolved in the process solution were converted into metal hydroxides and precipitated at the Mn removal process. It was confirmed by equilibrium calculation result that the OH− ions generated at the Mn removal can react with the metal ions and form the metal hydroxides. It is considered that this removal behaviors of the metals can contribute the decontamination performance.

APro, a modularized framework of the process-based total system performance assessment, has been developed by KAERI to simulate the radionuclide transport in geological disposal system considering multi-physics phenomena. However, the target problem including more than 10,000 boreholes and over 100,000 years of simulation time is computationally challenging to deal with numerical solvers provided by COMSOL Multiphysics constituting APro. To alleviate the computational burden, machine learning (ML) techniques have been studied to develop a surrogate model replacing the heavy computation part. In recent studies, attempts have been made to integrate the knowledge of physics and numerical methods into the ML model for partial differential equations (PDEs). Unlike conventional ML approaches solely relying on data-driven method, the integration can help to make the ML model more specialized for solving PDEs. The hybrid neural network (NN) solver method is one of the strategies to develop more efficient PDE solver by interleaving NN with numerical solvers like finite element method (FEM). The hybrid NN model on the premise of numerical solver is easier to train and more stable than the purely data-driven model. For example, one previous study has used the hybrid NN model as a corrector for an incomplete numerical solver for the advection-diffusion problem. In every time step of simulation, NN corrects the error of incomplete solution obtained by a relaxed numerical solver with coarse meshing. The simulation in the next time step starts from the corrected solution, so NN interacts with the numerical solver iteratively. If the corrector is successfully trained, the incomplete but fast solver with corrector can provide reliable results comparable to the original massive solver. This study adopts the hybrid concept to develop a surrogate model for the near-field region, which is the heavy computation part in the simulation of geological disposal system. Various incomplete models such as coarse meshing or emptying the borehole domain are studied to construct a hybrid NN solver. This study also covers how to embed the hybrid NN in COMSOL Multiphysics to train and use it during the simulation.

본 연구는 이러닝 학습에서 간격학습과 차단학습의 비율을 조절한 혼합학습이 학생들의 학업성취도와 학습 만족도에 미치는 영향을 파악하는 것을 목적으로 하였다. 이를 위해 간격학습과 차단학습의 비율에 따라 다섯가지 조건을 제작하 고 실험에 사용하였다. 실험에는 총 121명의 학생이 실험에 참가하였고 사전 수학 학업성취도를 비롯하여 사후 수학 학 업성취도, 학습 만족도, 예측 점수를 실험 절차에 따라 측정하였다. 연구 결과는 다음과 같다. 먼저 사전 학업 성취도에 서는 다섯 개의 집단 모두 차이가 없었다. 하지만 사후 학업 성취도는 100% 차단학습으로 실시한 학생들보다 간격학습 으로 진행한 학생들이 높았다. 차단학습의 비율이 감소함에 따라 사후 학업 성취도도 서서히 증가하는 패턴을 발견할 수 있었다. 다음으로 학습 만족도와 예측점수의 경우 차단학습 비율이 증가하면서 점점 증가하는 패턴을 발견하였다. 결과 적으로 학생들에게 차단학습 비율을 증가시키면 학업성취도는 감소하지만 학습 만족도와 예측점수는 높아지는 것을 알 수 있었다. 마지막으로 차단학습 비율 정도와 평가시기(사전, 사후)에 따른 학업성취도의 차이를 분산분석을 통해 분석해 보았다. 그 결과, 차단학습이 없는 조건과 차단학습이 25% 실시된 조건간에 학업 성취도의 차이가 없는 것을 발견하였 다. 이 연구는 기존에 없던 차단학습과 간격학습을 섞은 혼합학습이라는 새로운 관점을 제시해주며, 적절한 혼합학습은 학생들의 성취도와 만족을 동시에 만족시킬 수 있다는 사실을 제시하였다.