본 연구는 국내 대학의 학생설계전공 제도 현황을 분석하고 제도적 과 제와 개선 방안을 도출하는 데 목적이 있다. 이를 위해 23개 대학을 대 상으로 문헌분석과 다중사례연구를 수행하였다. 자료 수집과 분석은 2025년 8월부터 12월까지 대상 대학의 학생설계전공 관련 문서를 중심 으로 이루어졌고 분석 결과는 자율성, 유연성, 지원성, 책임성의 네 차원 으로 해석되었다. 연구 결과, 첫째, 자율성 측면에서는 각 대학의 운영 모델의 차이를 알 수 있었다. 둘째, 유연성 측면에서는 역량 중심으로의 전환 필요성이 확인되었다. 셋째, 지원성 측면에서는 전공 설계를 위한 지도 및 지원을 강화해야 할 필요성이 제안되었다. 넷째, 책임성 측면에 서는 제도적 신뢰성 확보를 위한 기준 마련의 필요성이 제기되었다. 이 를 토대로 학생설계전공 제도의 유형이 도출되었고, 정부, 대학, 제도 차 원의 개선 방안이 제시되었다.

The present study introduces a machine learning approach for designing new aluminum alloys tailored for directed energy deposition additive manufacturing, achieving an optimal balance between hardness and conductivity. Utilizing a comprehensive database of powder compositions, process parameters, and material properties, predictive models—including an artificial neural network and a gradient boosting regression model, were developed. Additionally, a variational autoencoder was employed to model input data distributions and generate novel process data for aluminum-based powders. The similarity between the generated data and the experimental data was evaluated using K-nearest neighbor classification and t-distributed stochastic neighbor embedding, with accuracy and the F1-score as metrics. The results demonstrated a close alignment, with nearly 90% accuracy, in numerical metrics and data distribution patterns. This work highlights the potential of machine learning to extend beyond multi-property prediction, enabling the generation of innovative process data for material design.

이 연구는 한국 초등교원양성기관의 실습학기제 도입에 따른 운영방안 을 탐색하고자 하는 데 목적이 있다. 이를 위하여 한국 초등교원양성기 관의 교수들 중 교육실습 경험이 풍부한 교수 2명, 교육과정 담당자 2 명, 실습학교 교사 5명을 대상으로 FGI(Focus Group Interview)를 실 시하여 질적 연구를 수행하였다. 연구 결과, 한국 초등교원양성기관의 실 습학기제 운영에 대한 5개의 영역과 그에 대한 17개의 범주, 그리고 65개의 하위 범주가 도출되었다. 한국 초등교원양성기관의 실습학기제 운영에 대한 5개의 영역은 ‘현 체제 진단’, ‘실습학기제에 대한 인식’, ‘현실적인 문제’, ‘운영을 위해 필요한 것’, ‘운영방안’이다. 그리고 각 영 역별 논의를 통해 한국 초등교원양성기관의 실습학기제 운영방안에 대한 시사점을 제공하였다.

This study explored the process-structure-property (PSP) relationships in Ti-6Al-4V alloys fabricated through direct energy deposition (DED) additive manufacturing. A systematic investigation was conducted to clarify how process variables—specifically, manipulating the cooling rate and energy input by adjusting the laser power and scan speed during the DED process—influenced the phase fractions, pore structures, and the resultant mechanical properties of the samples under various processing conditions. Significant links were found between the controlled process parameters and the structural and mechanical characteristics of the produced alloys. The findings of this research provide foundational knowledge that will drive the development of more effective and precise control strategies in additive manufacturing, thereby improving the performance and reliability of produced materials. This, in turn, promises to make significant contributions to both the advancement of additive manufacturing technologies and their applications in critical sectors.

본 연구의 목적은 한국 중년 여성의 자녀 결혼 경험을 현상학적 방법으 로 분석하여 그 경험의 본질적 의미를 파악하기 위한 것이다. 이를 위하 여 본 연구에서는 자녀의 결혼을 경험한 50대와 60대 한국의 중년 여성 들을 대상으로 심층 면담을 진행하였고 참여자들의 생생한 일상적 경험 의 본질 구조를 드러내기 위해 Giorgi의 현상학적 방법을 사용하여 분석 하였다. 연구 결과 205개의 의미 단위, 33개의 주제, 14개의 주제묶음, 7개의 범주가 도출되었다. 도출된 7개의 범주는 ‘자식의 새로운 보호자 가 생김’, ‘나의 과거와 미래의 삶을 바라봄’, ‘자식을 품에서 떠나보냄’, ‘나를 과시하고 싶음’, ‘자식에 대한 나의 마지막 과제를 마침’, ‘새로운 가족에 대한 적응’, ‘자식에서 남편으로의 회귀’이다. 본 연구는 그동안의 연구에서 한국 중년 여성의 자녀 결혼에 따른 정서가 부정적인 것으로 나타났던 것과 달리 한국 중년 여성들은 새로운 가족을 맞아들임, 기쁨, 홀가분함 등의 긍정 정서를 느끼게 되고, 자녀와의 심리적·물리적 분리를 이루며, 새로운 가족을 받아들여 적응하는 한편 자신 곁에 남은 남편과 의 삶을 준비하는 등 자신의 지나온 삶을 정리하고 남아 있는 삶을 재정 비해 나간다는 본질적 의미를 밝혀냈다는 데 의의가 있다.

Aluminum alloys, known for their high strength-to-weight ratios and impressive electrical and thermal conductivities, are extensively used in numerous engineering sectors, such as aerospace, automotive, and construction. Recently, significant efforts have been made to develop novel aluminum alloys specifically tailored for additive manufacturing. These new alloys aim to provide an optimal balance between mechanical properties and thermal/ electrical conductivities. In this study, nine combinatorial samples with various alloy compositions were fabricated using direct energy deposition (DED) additive manufacturing by adjusting the feeding speeds of Al6061 alloy and Al-12Si alloy powders. The effects of the alloying elements on the microstructure, electrical conductivity, and hardness were investigated. Generally, as the Si and Cu contents decreased, electrical conductivity increased and hardness decreased, exhibiting trade-off characteristics. However, electrical conductivity and hardness showed an optimal combination when the Si content was adjusted to below 4.5 wt%, which can sufficiently suppress the grain boundary segregation of the α- Si precipitates, and the Cu content was controlled to induce the formation of Al2Cu precipitates.

본 연구는 1인 창업과 소비트렌드가 이어짐에 따라 증가하는 1인 헤어샵에 경쟁력 강화를 위해 나타나는 서비스와 운영 및 이용, 교육에 관한 연구로 학술연구정보서비스에 게재되어 있는 1인 헤어샵 관련된 선행 논문을 분석한 결과는 다음과 같다. 첫째, 1인 헤어샵의 서비스 품질에 관해 분석한 결과, 예약 방법과 예약 시간대에 즉각적인 시술 진행이 이루어져야 하며 디자이너는 미용에 대한 지식과 기술을 바탕으로 원활한 커뮤니케이션과 편리성을 높여 헤어샵을 이용하는 데 있어 불편함이 없어야 함을 시사하였다. 둘째, 1인 헤 어샵의 운영 및 이용에 관해 분석한 결과, 이용자는 헤어샵을 이용할 때 가격과 편의성을 가장 높게 나타났 다. 운영자는 이를 고려해 서비스를 제공해야 하며, 치열한 미용 산업 사이에서 차별화가 될 수 있는 관계마 케팅과 온·오프라인 마케팅을 활용하여 홍보해야 함을 알 수 있었다. 셋째, 1인 헤어샵의 교육에 관해 분석 한 결과, 재교육은 직무능력, 직무만족도를 높인다. 1인 헤어샵 운영자들이 가장 교육을 많이 받는 기관은 미용협회이며 펌교육의 횟수가 가장 높은 것으로 나타났다. 1인 샵을 운영하는 운영자는 새로운 제품이나 트렌드에 대한 정보 전달은 전문적인 시술 영역에 있어 새로운 변화에 대응할 수 있는 기술을 습득할 필요 가 있을 것으로 사료된다.

Boron carbide (B4C) is highly significant in the production of lightweight protective materials when added to aluminum owing to its exceptional mechanical properties. In this study, a method for fabricating Al-B4C composites using high-energy ball milling and directed energy deposition (DED) is presented. Al-4 wt.% B4C composites were fabricated under 21 different laser conditions to analyze the microstructure and mechanical properties at different values of laser power and scan speeds. The composites fabricated at a laser power of 600 W and the same scan speed exhibited the highest hardness and generated the fewest pores. In contrast, the composites fabricated at a laser power of 1000 W exhibited the lowest hardness and generated a significant number of large pores. This can be explained by the influence of the microstructure on the energy density at different values of laser power.

Aluminum alloys are widely utilized in diverse industries, such as automobiles, aerospace, and architecture, owing to their high specific strength and resistance to oxidation. However, to meet the increasing demands of the industry, it is necessary to design new aluminum alloys with excellent properties. Thus, a new method is required to efficiently test additively manufactured aluminum alloys with various compositions within a short period during the alloy design process. In this study, a combinatory approach using a direct energy deposition system for metal 3D printing process with a dual feeder was employed. Two types of aluminum alloy powders, namely Al6061 and Al-12Cu, were utilized for the combinatory test conducted through 3D printing. Twelve types of Al-Si-Cu-Mg alloys were manufactured during this combinatory test, and the relationship between their microstructures and properties was investigated.

Metal additive manufacturing (AM) has transformed conventional manufacturing processes by offering unprecedented opportunities for design innovation, reduced lead times, and cost-effective production. Aluminum alloy, a material used in metal 3D printing, is a representative lightweight structural material known for its high specific strength and corrosion resistance. Consequently, there is an increasing demand for 3D printed aluminum alloy components across industries, including aerospace, transportation, and consumer goods. To meet this demand, research on alloys and process conditions that satisfy the specific requirement of each industry is necessary. However, 3D printing processes exhibit different behaviors of alloy elements owing to rapid thermal dynamics, making it challenging to predict the microstructure and properties. In this study, we gathered published data on the relationship between alloy composition, processing conditions, and properties. Furthermore, we conducted a sensitivity analysis on the effects of the process variables on the density and hardness of aluminum alloys used in additive manufacturing.

Machine learning-based data analysis approaches have been employed to overcome the limitations in accurately analyzing data and to predict the results of the design of Nb-based superalloys. In this study, a database containing the composition of the alloying elements and their room-temperature tensile strengths was prepared based on a previous study. After computing the correlation between the tensile strength at room temperature and the composition, a material science analysis was conducted on the elements with high correlation coefficients. These alloying elements were found to have a significant effect on the variation in the tensile strength of Nb-based alloys at room temperature. Through this process, a model was derived to predict the properties using four machine learning algorithms. The Bayesian ridge regression algorithm proved to be the optimal model when Y, Sc, W, Cr, Mo, Sn, and Ti were used as input features. This study demonstrates the successful application of machine learning techniques to effectively analyze data and predict outcomes, thereby providing valuable insights into the design of Nb-based superalloys.

Lightweight steel is a crucial material that is being actively studied because of increased carbon emissions, tightening regulations regarding fuel efficiency, and the emergence of UAM, all of which have been recently labeled as global issues. Hence, new strategies concerning the thickness and size reduction of steel are required. In this study, we manufacture lightweight steel of the Fe-Mn-Al-C system, which has been recently studied using the DED process. By using 2.8 wt.% low-Mn lightweight steel, we attempt to solve the challenge of joining steel parts with a large amount of Mn. Among the various process variables, the laser scan power is set at 600 and 800W, and the laser scan speed is fixed at 16.67 mm/s before the experiments. Several pores and cracks are observed under both conditions, and negligibly small pores of approximately 0.5 μm are observed.

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.

Aluminum alloys are extensively employed in several industries, such as automobile, aerospace, and architecture, owing to their high specific strength and electrical and thermal conductivities. However, to meet the rising industrial demands, aluminum alloys must be designed with both excellent mechanical and thermal properties. Computer-aided alloy design is emerging as a technique for developing novel alloys to overcome these trade-off properties. Thus, the development of a new experimental method for designing alloys with high-throughput confirmation is gaining focus. A new approach that rapidly manufactures aluminum alloys with different compositions is required in the alloy design process. This study proposes a combined approach to rapidly investigate the relationship between the microstructure and properties of aluminum alloys using a direct energy deposition system with a dual-nozzle metal 3D printing process. Two types of aluminum alloy powders (Al-4.99Si-1.05Cu-0.47Mg and Al-7Mg) are employed for the 3D printing-based combined method. Nine types of Al-Si-Cu-Mg alloys are manufactured using the combined method, and the relationship between their microstructures and properties is examined.

This study investigates the interfacial reaction between powder-metallurgy high-entropy alloys (HEAs) and cast aluminum. HEA pellets are produced by the spark plasma sintering of Al0.5CoCrCu0.5FeNi HEA powder. These sintered pellets are then placed in molten Al, and the phases formed at the interface between the HEA pellets and cast Al are analyzed. First, Kirkendall voids are observed due to the difference in the diffusion rates between the liquid Al and solid HEA phases. In addition, although Co, Fe, and Ni atoms, which have low mixing enthalpies with Al, diffuse toward Al, Cu atoms, which have a high mixing enthalpy with Al, tend to form Al–Cu intermetallic compounds. These results provide guidelines for designing Al matrix composites containing high-entropy phases.

A new Fe-Cr-Mo-B-C amorphous alloy is designed, which offers high mechanical strength, corrosion resistance as well as high glass-forming ability and its gas-atomized amorphous powder is deposited on an ASTM A213-T91 steel substrate using the high-velocity oxygen fuel (HVOF) process. The hybrid coating layer, consisting of nanocrystalline and amorphous phases, exhibits strong bonding features with the substrate, without revealing significant pore formation. By the coating process, it is possible to obtain a dense structure in which pores are hardly observed not only inside the coating layer but also at the interface between the coating layer and the substrate. The coating layer exhibits good adhesive strength as well as good wear resistance, making it suitable for coating layers for biomass applications.

There is increasing demand for the development of a new material with high strength, high stiffness, and good electrical conductivity that can be used for high-voltage direct current cables. In this study, we develop aluminumbased composites containing C60 fullerenes, carbon nanotubes, or graphene using a powder metallurgical route and evaluate their strength, stiffness, coefficient of thermal expansion, and electrical conductivity. By optimizing the process conditions, a material with a tensile strength of 800 MPa, an elastic modulus of 90 GPa, and an electrical conductivity of 40% IACS is obtained, which may replace iron-core cables. Furthermore, by designing the type and volume fraction of the reinforcement, a material with a tensile strength of 380 MPa, elastic modulus of 80 GPa, and electrical conductivity of 54% IACS is obtained, which may compete with AA 6201 aluminum alloys for use in all-aluminum conductor cables.

Iron-based amorphous powder attracts increasing attention because of its excellent soft magnetic properties and low iron loss at high frequencies. The development of an insulating layer on the surface of the amorphous soft magnetic powder is important for minimizing the eddy current loss and enhancing the energy efficiency of highfrequency devices by further increasing the electrical resistivity of the cores. In this study, a hybrid insulating coating layer is investigated to compensate for the limitations of monolithic organic or inorganic coating layers. Fe2O3 nanoparticles are added to the flexible silicon-based epoxy layer to prevent magnetic dilution; in addition TiO2 nanoparticles are added to enhance the mechanical durability of the coating layer. In the hybrid coating layer with optimal composition, the decrease in magnetic permeability and saturation magnetization is suppressed.

The automotive industry has focused on the development of metallic materials with high specific strength, which can meet both fuel economy and safety goals. Here, a new class of ultrafine-grained high-Mn steels containing nano-scale oxides is developed using powder metallurgy. First, high-energy mechanical milling is performed to dissolve alloying elements in Fe and reduce the grain size to the nanometer regime. Second, the ball-milled powder is consolidated using spark plasma sintering. During spark plasma sintering, nanoscale manganese oxides are generated in Fe-15Mn steels, while other nanoscale oxides (e.g., aluminum, silicon, titanium) are produced in Fe-15Mn-3Al-3Si and Fe-15Mn-3Ti steels. Finally, the phases and resulting hardness of a variety of high-Mn steels are compared. As a result, the sintered pallets exhibit superior hardness when elements with higher oxygen affinity are added; these elements attract oxygen from Mn and form nanoscale oxides that can greatly improve the strength of high-Mn steels.