In this study, a new type of composite material combined with carbonyl iron, a relatively strong ferromagnetic material, was prepared to overcome the current application limitations of Prussian blue, which is effective in removing radioactive cesium. The surface of the prepared composite was analyzed using SEM and XRD, and it was confirmed that nano-sized Prussian Blue was synthesized on the particle surface. In order to evaluate the cesium removal ability, 0.2 g of the composite prepared for raw cesium aquatic solution at a concentration of 5 μg was added and reacted, resulting in a cesium removal rate of 99.5 %. The complex follows Langmuir’s adsorption model and has a maximum adsorption amount (qe) of 79.3 mg/g. The Central Composite Design (CCD) of the Response Surface Method (RSM) was used to derive the optimal application conditions of the prepared composite. The optimal application conditions achieved using Response optimization appeared at a stirring speed of pH 7, 17.6 RPM. The composite manufactured through this research is a material that overcomes the Prussian Blue limit in powder form and is considered to be excellent economically and environmentally when applied to a cesium removal site.

The Ti-6Al-4V lattice structure is widely used in the aerospace industry owing to its high specific strength, specific stiffness, and energy absorption. The quality, performance, and surface roughness of the additively manufactured parts are significantly dependent on various process parameters. Therefore, it is important to study process parameter optimization for relative density and surface roughness control. Here, the part density and surface roughness are examined according to the hatching space, laser power, and scan rotation during laser-powder bed fusion (LPBF), and the optimal process parameters for LPBF are investigated. It has high density and low surface roughness in the specific process parameter ranges of hatching space (0.06–0.12 mm), laser power (225–325 W), and scan rotation (15°). In addition, to investigate the compressive behavior of the lattice structure, a finite element analysis is performed based on the homogenization method. Finite element analysis using the homogenization method indicates that the number of elements decreases from 437,710 to 27 and the analysis time decreases from 3,360 to 9 s. In addition, to verify the reliability of this method, stress–strain data from the compression test and analysis are compared.

해양산업시설의 위험유해물질 배출이 미치는 사회영향을 평가하고, 기술근거배출허용기준 설정과정에서 요구되는 사회영향평 가 항목 및 방법적용에 대한 시사점을 도출하였다. 연구범위는 인천광역시에 있는 해양산업시설을 대상으로 하였다. 분석결과는 다음과 같다. 첫째, 기업 및 산업에 대한 영향은 ‘큰’ 것으로 평가되었지만, 대기업은 영업이익손실과 도산가능성, 그리고 고용손실의 영향이 적 었고, 소기업과 중기업은 영향이 큰 것으로 나타났다. 둘째, 지역사회 및 경제에 대한 영향은 ‘적은’ 것으로 평가되었으나, 직접적으로 인 과관계를 지니는 어업생산자나 지역관광종사자, 그리고 해당 지역은 그 영향이 집중되어 크게 나타날 수 있기 때문에 이에 대한 세심한 정책적 개입이 필요한 것으로 판단된다. 셋째, 기술근거배출허용기준의 설정방법에서 사회적 손실비용 및 사회적 편익산정 항목과 방법 이 유용하게 적용될 수 있는 것으로 판단된다.

The carbon concentration in the carburized steels was measured by electron probe microanalysis (EPMA) for a range of soluted carbon content in austenite from 0.1 to 1.2 wt%. This study demonstrates the problems in carbon quantitative analysis using the existing calibration curve derived from pure iron (0.008 wt%C) and graphite (99.98 wt%C) as standard specimens. In order to derive an improved calibration curve, carbon homogenization treatment was performed to produce a uniform Kα intensity in selected standard samples (AISI 8620, AISI 4140, AISI 1065, AISI 52100 steel). The trend of detection intensity was identified according to the analysis condition, such as accelerating voltage (10, 15, 30 keV), and beam current (20, 50 nA). The appropriate analysis conditions (15 keV, 20 nA) were derived. When the carbon concentration depth profile of the carburized specimen was measured for a short carburizing time using the improved calibration curve, it proved to be a more reliable and accurate analysis method compared to the conventional analysis method.

An Ant Colony Optimization Algorithm(ACO) is one of the frequently used algorithms to solve the Traveling Salesman Problem(TSP). Since the ACO searches for the optimal value by updating the pheromone, it is difficult to consider the distance between the nodes and other variables other than the amount of the pheromone. In this study, fuzzy logic is added to ACO, which can help in making decision with multiple variables. The improved algorithm improves computation complexity and increases computation time when other variables besides distance and pheromone are added. Therefore, using the algorithm improved by the fuzzy logic, it is possible to solve TSP with many variables accurately and quickly. Existing ACO have been applied only to pheromone as a criterion for decision making, and other variables are excluded. However, when applying the fuzzy logic, it is possible to apply the algorithm to various situations because it is easy to judge which way is safe and fast by not only searching for the road but also adding other variables such as accident risk and road congestion. Adding a variable to an existing algorithm, it takes a long time to calculate each corresponding variable. However, when the improved algorithm is used, the result of calculating the fuzzy logic reduces the computation time to obtain the optimum value.

In this work, we deal with the feasibility of structural topology optimization for beam designs using retrofits that optimally allocates the reinforcement to the web under the condition that designers set bolt regions for H-beams of different dimensions. Mean compliance or minimal strain energy is considered for the optimization. Volume fraction is given to the design space to assign appropriate steel material quantities. The purpose of this study is to evaluate optimal shapes of stiffeners with the maximum rigidity that improves the axial and shear performance of the H-beam and to satisfy a given safety design standard of H-beam and stiffeners in case arbitrary load effect and resistances. Finally, the effectiveness of stiffness-based topology optimization on stiffeners is verified with several practical applicable examples.

단계별 작업기를 통합하여 일관화하는 복합기를 실용화하여 생산효율이 개선되어 밭농업 생력화에 기여하였다. 본 연구의 목적은 SAS를 이용한 복합작업기의 최적 작업조건을 반응표면기법(RSM)으로 구명하고 최적 성능을 실험으로 평가하여 집약적 밭농업의 트랙터 운용방법을 제시하고자 하였다. 로터리 작업에서 회전속도와 전진속도의 관계는 견인력의 효율성과 멀칭 등 작업품질에 적정한 트랙터의 운용기준 조건을 나타낸다. 슬립과 공차를 고려하면 통합 선택기준 작업속도는 3.4<SPDcr<4.7 km/h 범위로 확장되고, 로터리 피치(p)가 40<p<56 cm/rev로 판단되었다. 여러 검토조건에 서 연료소비량을 예측하고 동력의 효율성을 평가하는데 Kim 모델이 사용되었다. 목적함수를 만족하는 적정 p의 범위에 속하는 공칭 작업속도(SPD)를 엔진속도비(n)와 주행 기어비(GR)로 나타내어 최적 설계점은 카테고리 1급(DK450) 트랙터에 대하여 독립변수 n, GR/변속단수는 0.65, 401/M4로 구명되었다. 실험 평가에서 작은 트랙터는 시뮬레이션과 비교적 일치하였고, 큰 트랙터의 실험은 낮은 연료소비량과 실작업속도로 오차를 유발하였다.

Traffic accidents that occur while driving a car are inevitable, and the characteristics of the body repair field are that each vehicle accident has the same damage and no same repair conditions. Therefore, it is difficult to acquire know-how in vehicle body repair simply by theoretical method of textbook, and the repair method must be changed as new materials and new technologies are applied to it. In particular, roof panels are not frequently damaged by traffic accidents, but they are damaged by falling objects from the roof of a building or the opposite lane, resulting in roof bending and vehicle repair using dent repair to minimize VOC and reduce costs. In this study, the optimal maintenance method is proposed by analyzing the time, cost, and waste generation according to the work method when the degree of damage is large and replacement is required

This study analyzed the duct characteristics of hubless rim-driven propeller (RDP) used in underwater robots. In the previous study, flow visualization experiments were performed with an advancing ratio of 0.2 to 1. The vortex at the front of the duct increased in strength while maintaining its size as the advancing ratio decreased. Therefore, it is necessary to study the optimization of the duct shape. Conventional propeller thrusters use acceleration/deceleration ducts to increase their efficiency. However, unlike conventional propellers, it is impossible to apply to airfoil acceleration/deceleration ducts due to the RDP structure. In this study, duct wake flow characteristics, thrust force, and efficiency according to the duct shape of RDP were analyzed using numerical analysis techniques. Duct design is limited and six duct shapes were designed. As a result, an optimized duct shape was designed considering duct wake flow characteristics, thrust force, and efficiency. The shape that the outlet width of the RDP was kept constant until the end of the duct showed higher thrust force and efficiency.

방충설비는 선박의 접안 및 양하역 과정에서 선박의 충격력을 흡수하여 선박과 접안시설을 모두 보호하는 매우 중 요한 역할을 수행한다. 하지만 이에 대한 최근 연구 및 설계 최적화의 노력이 매우 부족해 보인다. 이에 본 논문은 국내 항만 설계기준에서 제시하고 있는 방충재 설계에 사용되는 선박 접안에너지 산정식을 개선, 보완하기 위하여 연구를 수행하였다. 접 안에너지 산정과정에서 선박 및 접안시설의 조건을 고려하기 위하여 적용되는 영향계수의 변화에 따른 영향을 분석하였으며, 이 과정에서 국내외 설계코드에서 제시하고 있는 산정방법과 최신 선박제원, 국내 설계결과가 활용되었다. 분석에는 최신 선박 의 표준제원과 국내에서 실시된 실제 설계결과가 적용되었다. 그 결과, 국내 항만 설계기준에서 제시하고 있는 영향계수 결정방 법은 선박과 접안시설의 조건을 최적으로 반영하기에는 부족하며, 접안에너지가 20%이상 크게 산정되어 방충재 선정과정에서 과다 설계가 야기될 수 있는 것으로 판단되었다. 이에, 국내 항만 설계기준에서 제시하고 있는 영향계수를 선박 및 접안여건을 고려하여 설계할 수 있도록 최적화된 방법을 제시하였다.

고추역병균(Phytophthora capsici)은 고추 생육 전반에 걸쳐 병을 발생시켜 농가 소득에 큰 손실을 일으키고 있다. 고추 역병균 저항성은 양적 형질 유전자좌(Quantitative Trait Loci, QTL)에 의해 조절되며 주동 유전자는 고추의 5번 염색체에 존재한다고 보고 되었지만, 후보 유전자의 선발 및 저항성 유전자 규명 연구는 아직 초기 단계이다. 특히, 고추는 형질전환이 어려운 작물로써 병원균과의 상호작용 연구를 통한 저항성 유전자 동정에 제한이 많다. 반면 고추와 같은 가지과 작물인 담배(Nicotiana benthamiana)는 병원균 상호작용 모델로 알려져 형질전환을 통해 저항성 유전자 규명에 활용된다. 본 연구에서는 고추 역병 저항성 기작 규명을 위한 기초 연구로써, 식물 저항성 유사 유전자(Resistance Gene Analog, RGA)를 선발하고, 이들 유전자들에 대한 담배 형질전환 기법 최적화 연구를 수행하였다. 고추 5번 염색체에 존재하는 고추 역병 저항성 분자표지들을 분석하여 RGA 후보 유전자인 CaNBARC105, CaNBARC112 유전자를 동정하였다. 이들 유전자들에 대해 Agrobacterium tumefaciens를 매개체로 하여 고추 RGA가 삽입된 담배 형질전환체를 개발하였다. 형질전환 여부는 유전자 특이적인 서열을 이용한 genomic PCR과 RT-PCR 검증을 통해 이들 형질전환 된 담배들의 생육 및 발달에 영향이 없다는 것을 확인하였다. 본 연구는 향후 고추 병 저항성 후보 유전자들이 삽입된 담배 형질전환체는 고추 역병 저항성 유전자 규명 및 기작 연구에 기반이 될 것이다.

Considering the features of body repair for automotive body where same damage and repair conditions does not exist in car accident, it is essential to acquire know-how and continuously approach new materials and new technologies on the site of maintenance where the theoretical instruction of textbook cannot react accurately minute by minute. Especially, in case of car repair from unexpected accidents such as body repair or dent repair, it is difficult to satisfy vehicle owners despite their request. Accordingly, this study researched the better maintenance technology to restore to its original state with more improved technology as vehicle owners wish. This study made time to repair reduced by 98% and the cost reduced by 79.6% through the accurate diagnostic technique before repair and maintenance technologies of body crash analysis applying property of high-speed tensile. It also obtains intangible effects including prevention of environmental pollution and maximization of vehicle owners satisfaction.

In the automobile manufacturing industry, lightweight design is one of the essential challenges to be solved fundamentally. The vehicle wheels are classified as safety related components as the main substructure of the vehicle. In this study, we illustrate a technique for selecting the appropriate number of spokes. Based on the basic model of the selected number of spokes, we propose a method to maintain stiffness and design lightweight using topology optimization software. Based on the basic model of the selected number of spokes, it was redesigned to be lightweight while maintaining stiffness by utilizing topology optimization software. By comparing and reviewing the structural analysis results of the basic model and the redesigned model, a design technique that can maintain structural safety and reduce wheel mass was proposed.

본 논문에서는 AI 기반 설계 탐색 기법을 활용하여 선박의 주요 치수 최적화를 수행하였다. 설계 탐색 기법은 최적화 프로그램 HEEDS의 SHERPA 알고리즘을 사용하였다. 유동 해석은 상용 CFD 코드인 STAR-CCM+를 사용하였고, 주요 치수 변환은 전처리 과정에서 JAVA Script와 Python을 사용하여 선박의 치수가 자동으로 변환되도록 설정하였다. 대상 선박은 소형 쌍동선형으로 주요 치수 최적화는 한쪽 선형의 길이, 폭, 흘수 그리고 단동선형 간의 간격에 대하여 수행되었다. 최적화 알고리즘에 사용된 목적함수는 총저항이며, 내부 의 장 시스템의 크기 등을 고려한 배수 체적의 범위를 제한조건으로 선정하였다. 그 결과 최적 선형의 주요 치수는 기존 선형 대비 ±5% 내 에서 변화가 있었고 총저항은 약 11% 개선된 결과를 보였다. 본 연구를 통해 선박의 형상을 직접 변경하지 않더라도 주요 치수 최적화를 통해 선박의 저항 성능이 향상됨을 확인하였고, 다양한 선박의 주요 치수 최적화를 통한 성능 향상에 활용이 될 것으로 기대한다.

Welding is a representative processing technology applied in many industrial sites due to its quality and convenience. In particular, fiber laser welding can be welded at a faster speed compared to arc welding, and there is an advantage in welding distortion, which is the most significant disadvantage of welding. In this study, the weldable thickness was predicted, and the optimal welding angle was estimated using simulations during the welding of the T-shape structure. The multi-layer heat source model proposed in the previous author's study was used, and the study was conducted using the proposed welding heat source under specific conditions of 4kw and 1.0m/min. As a result, it was predicted that high-quality welding would be possible when the thickness was 3mm or 4mm, and it was also confirmed that welding should be performed at an angle of 82.5° or more when welding a 3mm thick structure. As a follow-up study, we plan to build a welding heat source model under various conditions and conduct a study to derive welding conditions at various thicknesses.