• Steel and Composite Structures
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• 제21권6호
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• pp.1327-1345
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• 2016

$Al_2O_3$/SiC particulate reinforced (Metal Matrix Composites) MMCs which were produced by using stir casting process, bending strength and hardening behaviour were obtained using an analysis of variance (ANOVA) technique that uses full factorial design. Factor variables and their ranges were: particle size $2-60{\mu}m$; the stirring speed 450 rpm, 500 rpm and the stirring temperature $620^{\circ}C$, $650^{\circ}C$. An empirical equation was derived from test results to describe the relationship between the test parameters. This model for the tensile strength of the hybrid composite materials with $R^2$ adj = 80% for the bending strength $R^2$ adj = 89% were generated from the data. The regression coefficients of this model quantify the tensile strength and bending strengths of the effects of each of the factors. The interactions of all three factors do not present significant percentage contributions on the tensile strength and bending strengths of hybrid composite materials. Analysis of the residuals versus was predicted the tensile strength and bending strengths show a normalized distribution and thereby confirms the suitability of this model. Particle size was found to have the strongest influence on the tensile strength and bending strength.

• Tribology and Lubricants
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• 제35권1호
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• pp.24-29
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• 2019

In this work we investigated the friction and wear characteristics of a magnesium alloy, which has been receiving much attention as a light metal in industrial applications such as automobiles and aerospace. Magnesium is one of the lightest structural material that has high specific strength, lightweight, low density and good formability. However, current issue of using magnesium alloy is that magnesium has weakness against temperature. As the temperature increases, magnesium undergoes poor creep resistance and ease of softening, and therefore, its mechanical strength decreases sharply. To solve this issue, a new type of magnesium alloy that retains high strength at high temperature has been proposed. The tribological behavior of this alloy was investigated using a tribotester with reciprocating motion and heating plate. A stainless steel ball was used as a counter surface. Results showed that extrusion process has similar wear behavior to the commonly used casting process but retains good mechanical strength and durability. The presence of an alloying element enhanced the wear properties especially in high temperature. This study is expected to be utilized as fundamental data for the replacement of high density materials currently used in mechanical industries to a much lighter and durable heat-resistant materials.

• Nuclear Engineering and Technology
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• 제54권2호
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• pp.709-731
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• 2022

Loss of fracture resistance due to thermal aging degradation is a potential limiting factor affecting the long-term (80+ year) viability of nuclear reactors. To evaluate the effects of decades of aging in a practical time frame, accelerated aging must be employed prior to mechanical characterization. In this study, a variety of chemically and microstructurally diverse austenitic stainless steels were aged between 0 and 30,000 h at 290-400 ℃ to simulate 0-80+ years of operation. Over 600 static fracture tests were carried out between room temperature and 400 ℃. The results presented include selected J-R curves of each material as well as K_0.2mm fracture toughness values mapped against aging condition and ferrite content in order to display any trends related to those variables. Results regarding differences in processing, optimal ferrite content under light aging, and the relationship between test temperature and Mo content were observed. Overall, it was found that both the ferrite volume fraction and molybdenum content had significant effects on thermal degradation susceptibility. It was determined that materials with >25 vol% ferrite are unlikely to be viable for 80 years, particularly if they have high Mo contents (>2 wt%), while materials less than 15 vol% ferrite are viable regardless of Mo content.

• International Journal of Precision Engineering and Manufacturing-Green Technology
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• 제9권
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• pp.1563-1573
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• 2021

The impinging jet technique is a critical process for enhancing mechanical properties. Sensors for the precise diagnosis of the nozzle status are necessary to maintain product quality and reduce cost. The application of commercial sensors for this purpose is difficult because sensors in the casting, rolling, and reheating processes should provide sensitivity to small impact variations, durability, anticorrosion, waterproofing, and high-temperature endurance. We developed a sensor module to satisfy these engineering requirements. The sensor monitored impact pressures based on the reduction in the collision force caused by abnormal impinging jet flows. Smart signal filtering based on a low-pass filter was employed to achieve a short CPU time, noise discrimination, and the preservation of signal characteristics. A method for nozzle position synchronization and a new performance index for impinging jets for multiple-nozzle sensing in practical applications were also developed. The developed sensor module was validated using artificial abnormal nozzles and tested in the field. The validations showed that the developed sensor with the smart filter and nozzle synchronization method could provide an individual jet status with a high precision. The developed sensor is expected to contribute to the improvement of machine health monitoring technology in various fields with jet nozzles.

• 한국강구조학회 논문집
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• 제25권5호
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• pp.555-567
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• 2013

철골구조의 층고를 절감을 위해 유럽을 중심으로 춤이 깊은 데크를 사용한 슬림플로어 공법이 개발되어 적용되고 있다. 국내에서도 장스팬과 층고절감을 요구하는 건물이 증가하고 있지만 7m이상 장스팬에 춤이 깊은 데크를 적용 시 과도한 처짐에 의한 사용성 문제를 초래한다. 따라서 본 연구는 장스팬에 적용되는 춤이 깊은 데크의 콘크리트 타설시 처짐의 사용성 및 개방형 단면의 불안정성에 의한 휨비틀림 등의 문제를 개선하는 방안으로 Cap형태의 plate(이하 '캡 플레이트')를 두가지 형태(Flat, Hat)로 개발하고 보강 길이와 위치의 최적화를 이론적 계산을 통해 도출하였다. 이 캡플레이트를 춤이 깊은 데크의 골상부에 일정 간격으로 설치하여 상부 개방형 불안전성을 극복하고 단면의 강성을 증대시켜 중앙부 처짐을 제어하고자 한다. 캡 플레이트의 설치위치와 보강길이에 따른 휨서능 개선의 효과를 해석과 실험을 통해 검증하고자 한다.

• 한국자기학회지
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• 제21권2호
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• pp.77-82
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• 2011

우리 삶의 질을 좌우하는 전자기 기기의 고기능화, 자동화, 소형화 추이에 따라 사용량이 급격히 증가하고 있는 연자성 소재로서 가장 널리 사용되고 있는 전기강판과 에너지 고효율화라는 시대의 요구에 따라 새롭게 부상되고 있는 연자성 복합 분말 소재에 대해 각 연자성 소재 분야에서 철손 제어 인자 및 이들 인자들의 제어 방안에 대해 문헌을 고찰했다. 전기강판에서는 히스테리시스 손실을 낮추기 위해 정련공정을 통해 자구이동을 방해하는 결함을 제거하고 결정립의 크기를 최적화하고 있으며, 와전류 손실의 감소를 위해 합금첨가원소를 통해 비저항을 높이고 판재의 두께를 박판화하고 있다. 이와 동시에 코팅을 통해 자구의 이동이 용이하도록 응력의 방향 및 크기를 제어하며, 압연기술과 열처리 기술을 통해 집합조직을 최적화하여 고투자율 및 저철손을 동시에 충족시켜 나가고 있다. 연자성 복합 분말 소재의 경우, 분말 표면의 복합화를 통해 철계 조성, 코팅, 윤활재 및 바인더, 성형 및 열처리 조건 등에 복합적으로 의존하는 연자성 코어의 최종 자기특성을 제어하고 있다. 온간 및 다단 성형과 같은 새로운 성형공정, 2단 소둔/자성 열처리와 같은 소둔 조건, 나노결정질, 비정질 및 벌크 비정질 등과 같은 새로운 조성, 적절한 코팅층의 변수들을 최적화할 경우, 연자성 복합 소재의 자성특성은 향상될 것으로 기대된다.

• Composites Research
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• 제22권5호
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• pp.15-23
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• 2009

가압주조법으로 제조한 $Al_2O_3$ 섬유와 SiC 입자 혼합 보강 금속복합재료(MMCs)의 상온과 고온에서 윤활마모특성을 조사하였다. 마모시험은 거리와 온도의 변화에 따라 속도를 고정시켜 25Kgf의 하중하에서 수행하였으며 MMCs의 시험편은 가압의 수평(PR)방향과 수직(N)방향에서 채취하였다. 혼합비의 영향을 관찰한 결과 상온에서는 20%섬유만 보강한 PR방향 MMCs의 마모거동은 N방향 보다 우수한 결과를 보였으나, 혼합보강 MMCs는 반대로 나타내었다. 고온($100^{\circ}C$)에는 모든 MMCs에서 PR방향의 마모거동이 N 방향보다 우수한 결과를 보인 것은 보강재와 마찰면간 윤활필름이 강호작용에 기인한 것으로 밝혀졌다. $150^{\circ}C$에서는 혼합 MMCs의 마모거동은 온도영향으로 PR이 N 보다 우수한 결과를 보였다.

• 한국주조공학회지
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• 제35권5호
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• pp.120-127
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• 2015

The effects of Ti, B and Zr on grain refinement and castability were investigated in Al-4wt%Mg-0.9wt%Si-0.3wt%Mn-0.15wt%Fe alloy. Measurement of cooling curve and micro-structure observation were performed to analyze the effects of the addition of minor elements Ti, B and Zr during solidification. The prominence of effect on grain refinement was in increasing order for Ti, Zr and B element. Fine grain size and an increase of the crystallization temperature for ${\alpha}$-Al solution were evident as the amount of addition elements increased in this study. Addition of 0.15wt% Ti was most effective for grain refinement, and the resulting grain size of ${\alpha}$-Al solution for shell mold and steel mold were $72.3{\mu}m$ and $23.5{\mu}m$, respectively. Fluidity and shrinkage tests were perform to evaluate the castability of the alloy. Maximum fluidity length and minimum ratio of micro shrinkage were recorded for 0.15wt% Ti addition due to the effect of the finest grain size.

• 한국산업정보학회논문지
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• 제12권1호
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• pp.95-100
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• 2007

철강공정에서 소재에 대한 관리를 위해 소재의 전면에 소재 관리문자를 마킹한다. 본 논문은 철강 연주공정에서 생산되는 슬라브 소재 영상에 포함된 소재 관리문자를 실시간으로 인식하기 위한 비전시스템 개발 결과에 대해 기술한다. 문자인식용 비전시스템은 영상획득을 위한 카메라 시스템, 영상을 장거리로 고속 전송하기위한 광 전송시스템, 기존 제어시스템과의 인터페이스를 위한 입 출력 시스템 및 인식결과를 모니터링 하기위한 모니터링 시스템으로 구성된다. 개발된 문자인식용 비전시스템을 실제 철강 연주공정에 설치하여 운용테스트를 실시했다. 테스트를 통해 시스템의 내구성과 신뢰성을 검증하고 최종적으로 문자 인식률을 검증했다. 개발된 시스템에 대해 문자인식 테스트 결과 약 97.4%의 인식률을 가졌다.

• International Journal of Concrete Structures and Materials
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• 제9권2호
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• pp.159-172
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• 2015

Estimation of the residual strength of corroded reinforced concrete beams has been studied from experimental and theoretical perspectives. The former is arduous as it involves casting beams of various sizes, which are then subjected to various degrees of corrosion damage. The latter are static; hence cannot be generalized as new coefficients need to be re-generated for new cases. This calls for dynamic models that are adaptive to new cases and offer efficient generalization capability. Computational intelligence techniques have been applied in Construction Engineering modeling problems. However, these techniques have not been adequately applied to the problem addressed in this paper. This study extends the empirical model proposed by Azad et al. (Mag Concr Res 62(6):405-414, 2010), which considered all the adverse effects of corrosion on steel. We proposed four artificial neural networks (ANN) models to predict the residual flexural strength of corroded RC beams using the same data from Azad et al. (2010). We employed two modes of prediction: through the correction factor ($C_f$) and through the residual strength ($M_{res}$). For each mode, we studied the effect of fixed and random data stratification on the performance of the models. The results of the ANN models were found to be in good agreement with experimental values. When compared with the results of Azad et al. (2010), the ANN model with randomized data stratification gave a $C_f$-based prediction with up to 49 % improvement in correlation coefficient and 92 % error reduction. This confirms the reliability of ANN over the empirical models.