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수소에 의한 뷔스타이트 환원시 기공 및 조직변화에 관한 연구
윤동석,손진군 대한금속재료학회(대한금속학회) 1982 대한금속·재료학회지 Vol.20 No.9
The pore structure of iron reduced from wustite by hydrogen gas is characterised by measurement of pore volume and critical pore radius using mercury penetration porosimeter. By utilizing partial reduction and one hour annealing, morphology of the reduced iron is thoroughly investigated by both optical and scanning electron microscopy. Summerized results are as follows: 1) The morphological changes in reduced iron layer are closely related to the length of sintering time. 2) Swelling of reduced iron is basically due to the crystal growth of γ-iron reduced from wustite. 3) In the temperature range of 700-900℃, the critical pore radius is described by the relationship. Critical pore radius=A·exp(-9300/RT). 4) The growth rates of the critical pore radius vary with crystal structure. In the α-iron range, the rate of growth is extremely slow compared to that occurring in the γ-iron range.
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다동질철의 순환 산화-환원시 조직형태 및 확산계수에 관한 연구
孫晉君,尹東錫 水原大學校 1984 論文集 Vol.2 No.-
Cyclic oxidation-reduction of porous iron specimen has been respectively carried out in the temperature range of 800∼1,000℃. The pore structure of iron reduction from iron oxide scale was examined by measurements of pore volume and pore radius employing image analyser. Summarized results are as follows; 1) The morpholoy of reduced iron layer from lst stage reduction is as same as 2nd reduced iron layer from 2nd stage reduction. 2) As reaction temperature increases, the pore size of 2nd stage reaction becomes more coarse comparing the lst stage. 3) When the crack is not happened in specimen, the calculated effective diffusivities by image analyser measurements is in agreement with the experimental results.
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박성일,손재철,김형명,송익호,김현영,윤진군 한국통신학회 1992 韓國通信學會論文誌 Vol.17 No.8
The generalized Neyman-Pearson lemma Is reformulated In the framework of the fuzzy set theory. Based on the result, we define the locally optimum fuzzy test and derive the locally optimum fuzzy test function. As a pratical application of the locally optimum fuzzy test, detection of weak deterministic signals corrupted by purely-adative noise Is considered, which Is an important problem In statistical signal processing. Comparisons between the locally optimum and the locally optimum fuzzy tests are also made.
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