• 동력기계공학회지
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• 제10권2호
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• pp.111-116
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• 2006

Tribologcal property of the ceramics used in severe condition was investigated and both $Al_2O_3$ ball and Al/SiC composite made by thermal spray process[TSP] were used as a specimen in this study. Four kinds of material couple in ball and disk specimens were tested in the dry condition by using ball-on-disk type tribo-tester. Friction coefficient, surface roughness, wear rate, and photograph of the worn surface were investigated. Generally, High SiC contents[$40{\sim}50%$] specimens showed very low friction coefficient below 0.05 and little wear rate in dry condition. And also, low SiC contents[0%] specimens showed a moderate wear rate and high coefficient of friction at the same condition.

• 한국전산구조공학회논문집
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• 제21권1호
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• pp.35-42
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• 2008

원자력발전소에서는 열교환 파이프에서 발생하는 열피로 균열을 비파괴 탐상장비를 이용하여 조기에 발견하는 것이 안전을 위해 매우 필요하며, 따라서 이를 모사한 인공균열시편 제작에 많은 노력을 기울이고 있다. 그러나 이러한 균열은 일반 기계가공으로 제작하는 것이 불가능하여 실제 조건과 유사한 열 반복하중 하에서 제작될 수밖에 없는데, 이를 위해 많은 시간이 소요된다. 본 연구에서는 크랙성장 시뮬레이션 기법을 이용하여 이러한 균열 제작시간을 단축하기 위한 최적의 열하중 조건을 찾고자 하였다. 이를 위해 임의조건에서 시뮬레이션 및 열피로균열 발생 기초실험을 수행하여 균열 초기수명과 진전수명을 검증하였고, 이를 바탕으로 다양한 가열 및 냉각시간을 시뮬레이션 함으로써 제작시간을 최소화하는 열하중 조건을 구하였다. 시뮬레이션에서는 응력해석을 위해 상용 소프트웨어 ANSYS를 초기균열수명 계산을 위해 수치계산용 소프트웨어 ZENCRACK을 이용하여 코딩을 균열진전수명 평가를 위해 ZENCRACK 소프트웨어를 이용하였다. 그 결과 1mm 균열 제작에 소요되는 시간은 초기의 418시간에서 319시간으로 24% 단축되는 것으로 예측되었다.

• 한국화재소방학회논문지
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• 제23권6호
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• pp.66-74
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• 2009

화재가 발생할 경우 터널 구조물은 일정하중 재하조건에서 화재로 인한 온도상승으로 인해 강도저하가 유발되며, 이러한 강도저하에 의해 축력비가 변화하게 되어 구조체에 변형이 발생하게 된다. 이에 본 연구에서는 일정하중 재하조건과 터널화재구현이 가능한 재하연동 가열로를 개발하여 콘크리트 라이닝의 화재 실증실험을 수행하였다. 실험체는 EFNARC에서 규정한 소규모 실물실험체 형상조건을 준용하였으며, 배합강도는 일반강도인 24MPa와 고강도인 40MPa 50MPa를 선정하여, 강도에 따른 열적특성을 분석하고자 하였다. 하중 재하비는 20%와 40%를 기준으로 가열시 일정재하조건을 부여하였으며, 터널화재곡선 중 가장 급격한 온도상승으로 인해 콘크리트의 열 충격효과가 구현될 수 있는 MHC Fire를 선정하여 가열실험을 수행하였다. 실험수행결과 동일한 하중비에서 고강도로 갈수록 균열이 증가되었으며, 폭렬은 고강도인 50MPa 실험체에서 발생하였다. ITA의 한계온도조건 콘크리트 라이닝의 성능기준에 따른 화재손상부위는 전체 200mm 라이닝에서 가열면으로부터 평균 50mm 깊이가 기준에 미 부합되는 것으로 도출되었다.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2008년도 추계학술대회 논문집
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• pp.73-74
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• 2008

• 콘크리트학회논문집
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• 제13권4호
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• pp.305-313
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• 2001

본 연구에서는 콘크리트 열전도율의 영향인자에 대하여 TLPP원리를 응용한 QTM-D3 장비를 이용하여 실험을 실시하였고, 이들 실험결과를 이용하여 콘크리트의 열전도율을 예측하는 모델식을 제안하였다. 본 연구를 통하여 얻은 결론은 다음과 같다. 콘크리트, 모르타르 및 페이스트의 열전도율에 미치는 주요 영향인자를 구명하기 위해 본 연구에서 선택된 실험변수는 재령, 골재 함유량, 시멘트 함유량, 결합재 종류, 잔골재율, 시편의 온도 및 함수상태로 총 7가지이다. 이중에서 골재 함유량과 함수상태가 콘크리트 열전도율의 주요 영향인자임을 알 수 있었다. 그리고 시멘트 사용량이 많은 페이스트나 모르타르의 경우 시멘트 함유량이나 결합재 종류에 의해서도 열전도율이 영향을 받고 있다. 그러나 재령은 콘크리트의 열전도율에 큰 영향을 미치지 않음을 알 수 있었다. 콘크리트 열전도율에 주요 영향인자인 골재 함유량, 잔골재율, 시편의 온도 및 함수상태를 이용하여 콘크리트의 열전도율을 계산할 수 있는 모델식을 제안하였다.

• 한국분말재료학회지
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• 제22권1호
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• pp.21-26
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• 2015

In this study, the control of microstructure for increasing surface roughness of Al with an electro-chemical reaction and a post treatment is systematically investigated. The Al specimen is electro-chemically treated in an electrolyte. In condition of the post treatment at $100^{\circ}C$ for 10 min, a change of the surface microstructure occur at 50V (5 min), and a oxidized layer is at 400V, to which lead a decreasing surface roughness. The minimum temperature of the post treatment for a change of microstructure is $80^{\circ}C$. Moreover, in the condition of 300V (5 min), the electro-chemical reaction is followed by the post treatment at $100^{\circ}C$, the critical enduring time for the change of microstructure is 3 min. The longer post treatment time leads to the rougher surface. The treated Al specimen demonstrate better heat release ability owing to the higher surface roughness than the non-treated Al.

• 소성∙가공
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• 제28권6호
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• pp.354-360
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• 2019

The plastic strain ratio is one of the factors that affect the deep drawability of metal sheets. The plastic strain ratio of fully annealed Cu sheet is low because its texture has {001}<100>. In order to improve the deep drawability of Cu sheet, it is necessary to increase the plastic strain ratio of Cu sheet. This study investigate the increase of plastic strain ratio of a Cu sheet after the first asymmetry rolling and annealing, and the second asymmetry rolling and annealing in air and Ar gas conditions. The average plastic strain ratio (R_m) was 0.951 and |ΔR| value was 1.27 in the initial Cu sheet. After the second 30.1% asymmetric rolling and annealing of Cu sheet at 1000℃ in air condition, the average plastic strain ratio (R_m) was 1.03 times higher. However, |ΔR| was 0.12 times lower than that of the initial specimen. After the second 18.8% asymmetric rolling and annealing of Cu sheet at 630℃ in Ar gas condition, the average plastic strain ratio (R_m) was 1.68 times higher and |ΔR| was 0.82 times lower than that of the initial specimen. These results are attributed to the change of the texture of Cu sheet due to the different annealing conditions.

• 소성∙가공
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• 제7권3호
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• pp.215-224
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• 1998

A semi-solid forming has a lot of advantages compared to the die casting. squeeze casting and conventional forging. therefore, semi-solid forming process is now becoming industrial interest for the production of metal components and metal matrix composites. However the material behaviour in the semi-solid temperature range is not sufficiently known although it controls the whole process through forces and geometry evolutions because the behaviour of metal slurries is complex. The semi-solid materials(SSMs) fabricated under electric-magnetic stirring condition is necessary to be applicated in forming process. A reheating conditions were studied with the reheating time holding time and reheating temperatures. The microstructure of SSM(specimen size : d39${\times}$h85) at the condition of heating time 10min and heating temperature 590${\circ}C$ is the most globular and finest one. The microstructure of SSM(specimen size : d76${\times}$h60) reheated under the three step reheating conditions is most globular and finest.

• 동력기계공학회지
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• 제15권4호
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• pp.19-24
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• 2011

The operational efficiency of domestic gas turbine is about 25% and it is now in the trend of the gradual growth in spite of the severe temperature, frequent starting and shutdown according to the environmental management and the energy-efficient use. Rotor bolts of gas turbine in power plants have been the cause of defects because these gas turbines have been operated for a long time under the high pressure and temperature environment experiencing the aging change and stress concentration of the bonded part. The connection parts of the bolt revealed various failure shape and these parts were elongated under very low pressure when operated in the relaxed condition. The cause is in the lack of the metal distribution in the bottle lack area and the cap screw of the bolt is broken totally in case that the nut is fastened in most cases. Gas turbine rotor bolts are connected to the rotor wheel and these bolts caused the vibration, the bulk accident of the rotor in the event that the coupling power among these bolts was relaxed. Therefore, we would like to evaluate the soundness of the main part of the gas turbine rotor bolt through the measurement of the inner condition change along with the mechanic deterioration and temperature, stress in the gas turbine rotor material.

• International Journal of Precision Engineering and Manufacturing
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• 제4권2호
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• pp.49-56
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• 2003

As semi-solid forging (SSF) is compared with conventional casting such as gravity die-casting and squeeze casting, the product without inner defects can be obtained from semi-solid forming and globular microstructure as well. Generally, SSF consists of reheating, forging, and ejecting processes. In the reheating process, the materials are heated up to the temperature between the solidus and liquidus line at which the materials exists in the form of liquid-solid mixture. The process variables such as reheating time, reheating temperature, reheating holding time, and induction heating power has large effect on the quality of the reheated billets. It is difficult to consider all the variables at the same time for predicting the quality. In this paper, Taguchi method, regression analysis and neural network were applied to analyze the relationship between processing conditions and solid fraction. A356 alloy was used for the present study, and the learning data were extracted from the reheating experiments. Results by neural network were in good agreement with those by experiment. Polynominal regression analysis was formulated using the test data from neural network. Optimum processing condition was calculated to minimize the grain size and solid fraction standard deviation or to maximize the specimen temperature average. Discussion is given about reheating process of row material and results are presented with regard to accurate process variables fur proper solid fraction, specimen temperature and grain size.