• Title/Summary/Keyword: cmc.

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Simulation of Methane Swirl Flame in a Gas Turbine Model Combustor (가스터빈 모사 연소기에서 선회 확산 화염의 연소특성 해석)

  • Joung, Dae-Ro;Huh, Kang-Yul
    • 한국연소학회:학술대회논문집
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    • 2007.05a
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    • pp.118-125
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    • 2007
  • The firtst-order conditional moment closure (CMC) model is applied to CH4/air swirl diffusion flame in a gas turbine model combustor. The flow and mixing fields are calculated by fast chemistry assumption with SLFM library and a beta function pdf for mixture fraction. RNG k-e model is used to consider the swirl flame in a confined wall. Reacting scalar fields are calculated by elliptic CMC formulation with chemical kinetic mechanism, GRI Mech 3.0. Validation is done against measurement data for mean flow and scalar fields in the model combustor [1]. Results show reasonable agreement with the mean mixture fraction and its variance, while temperature is overpredicted as the level of local extinction increases. The second-order CMC model is needed to consider local extinction with considerable conditional fluctuations near the nozzle.

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A novel method for the synthesis of nano-magnetite particles

  • Syahmazgi, Maryam Ghodrati;Falamaki, Cavus;Lotfi, Abbas Sahebghadam
    • Advances in nano research
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    • v.2 no.2
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    • pp.89-98
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    • 2014
  • A novel and simple method for the synthesis of nano-magnetite particles is disclosed. In the novel procedure, $Fe^{2+}$ is the only source of metal cation. Carboxymethylcellulose (CMC) is used as the structure directing agent. The phase analysis of the nano-particles was performed using XRD and electron diffraction techniques. Size and morphology analysis was performed using light scattering and TEM techniques. The effect of $NH_4OH$ solution (32 wt. %) at different CMC concentrations on the size distribution of the final magnetite powders is studied. An optimal base concentration exists for each CMC concentration leading to minimal agglomeration. There exists a minimum CMC concentration (0.0016 wt. %), lower than that no magnetite forms. It is shown that using the new method, it is possible to immobilize a lipase enzyme (Candida Rugosa) with immobilization efficiency larger than 98 % with a loading more than 3 times the reported value in the literature. The latter phenomenon is explained based on the agglomerate state of the nano-particles in the liquid phase.

Damage Detection in Fiber Reinforced Composites Containing Electrically Conductive Phases

  • Shin, Soon-Gi;Hideaki Matsubara
    • The Korean Journal of Ceramics
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    • v.6 no.3
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    • pp.201-205
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    • 2000
  • Fiber reinforced plastic (FRP) composites and ceramic matrix composites (CMC) which contain electrically conductive phases have been designed and fabricated to introduce the detection capability of damage/fracture detection into these materials. The composites were made electrically conductive by adding carbon and TiN particles into FRP and CMC, respectively. The resistance of the conductive FRP containing carbon particles showed almost linear response to strain and high sensitivity over a wide range of strains. After each load-unload cycle the FRP retained a residual resistance, which increased with applied maximum stress or strain. The FRP with carbon particles embedded in cement (mortar) specimens enabled micro-crack formation and propagation in the mortar to be detected in situ. The CMC materials exhibited not only sensitive response to the applied strain but also an increase in resistance with increasing number of load-unload cycles during cyclic load testing. These results show that it is possible to use these composites to detect and/or fracture in structural materials, which are required to monitor the healthiness or safety in industrial applications and public constructions.

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SERS Analysis of CMC on Gold-Assembled Micelle

  • Jang, Nak-Han
    • Bulletin of the Korean Chemical Society
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    • v.25 no.9
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    • pp.1392-1396
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    • 2004
  • The micellization of dodecylpyridinum chloride (DPC) assembled on aqueous gold nanoparticles has been studied as a function of concentration using Surface-Enhanced Raman Scattering (SERS). At the low concentration, the strong SERS band of the benzene ring moiety was observed at 1025 $cm^{-1}$, and assigned to “trigonal ring breathing”. According to high concentration of DPC, a new strong band was also appeared at 1012 $cm^{-1}$, which was assigned to “totally symmetry ring breathing”. The difference of two spectra seems to ascribe to the geometry of polar head group, i.e., pyridinium cation. These geometry exist flat-down at low concentration, whereas standing-up or tilted geometry at high concentration. The critical micelle concentration (CMC) was first obtained from the ratio of intensities of the two bands related to the benzene ring moiety by vibrational spectroscopy, and was about 28 mM. After the CMC, the benzene ring moiety in the micelle state was more restricted than in monomer state because there is no more change of intensities at 1012 $cm^{-1}$. In addition, the size of gold-assembled micelle was estimated using light scattering and it was about 328.3 nm.

MINIMAL AND CONSTANT MEAN CURVATURE SURFACES IN 𝕊3 FOLIATED BY CIRCLES

  • Park, Sung-Ho
    • Bulletin of the Korean Mathematical Society
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    • v.56 no.6
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    • pp.1539-1550
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    • 2019
  • We classify minimal surfaces in ${\mathbb{S}}^3$ which are foliated by circles and ruled constant mean curvature (cmc) surfaces in ${\mathbb{S}}^3$. First we show that minimal surfaces in ${\mathbb{S}}^3$ which are foliated by circles are either ruled (that is, foliated by geodesics) or rotationally symmetric (that is, invariant under an isometric ${\mathbb{S}}^1$-action which fixes a geodesic). Secondly, we show that, locally, there is only one ruled cmc surface in ${\mathbb{S}}^3$ up to isometry for each nonnegative mean curvature. We give a parametrization of the ruled cmc surface in ${\mathbb{S}}^3$(cf. Theorem 3).

Analysis and Implication about Elementary Computer Education in India (인도의 초등학교 컴퓨터 교육에 대한 분석 및 시사점)

  • Shin, Seungki;Bae, Youngkwon
    • Journal of The Korean Association of Information Education
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    • v.18 no.4
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    • pp.585-594
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    • 2014
  • In terms of development for CMC computer science curriculum was started from 2006 year, and it was confirmed at 2013 year and adapting through 1 to 8 grade. CMC is focused on the "Develop computer fluency, not just computer literacy", "Develop thinking process skills, not just content mastery", and "Highlight the interconnectedness of knowledge, not just address a topic/subject in isolation" as a base of the curriculum. CMC have selected core factors which are Thinking process skills, Computer literacy integrated with fundamental concepts and thinking skills, Thematic integration, Spiral curriculum, and Scalability. Once CMC have been developed as a common computer curriculum by India government, both of computer training course and textbook development were conducted by government. In addition, they are trying to enforce the computer education. It suggests to Korea some significant points which were the necessity of Computer education as an independent subject and the requirement of Software education and Computational thinking as an educational content.

Enzymatic Properties of a Cellulase from Ganoderma lucidum (불로초(不老草)가 생산(生産)하는 Cellulase의 효소학적(酵素學的) 성질(性質))

  • Do, Jae-Ho;Kim, Sang-Dal
    • The Korean Journal of Mycology
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    • v.14 no.1
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    • pp.79-84
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    • 1986
  • A cellulose-degrading enzyme from Ganoderma lucidum was partially purified by ammonium sulfate precipitation and its enzymatic properties were studied. The enzyme had an optimum pH for activity at 4.0, and its stability range was pH $4.0{\sim}7.0$. The optimum temperature was $55^{circ}C$ and the enzyme retained 80% original activity after heated at $50^{\circ}C$ for 60 min. The activation energy of the enzyme for CMC degradation was caculated and found to be 6.2 Kcal/mole. The enzyme was activited by the addition of $Co^{++},\;Mn^{++}$, but slightly inactivated by $Hg^{++}$. Various enzyme inhibitors and chemical reagents did not affect the enzyme activity. The enzyme acted on native celluose as well as CMC. The Michaelis constant for CMC was calculated to be 2.4 mg glucose ep/ml.

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Effect of N-Methyl Acetamide on the Critical Micelle Concentration of Aqueous Solutions of Some Surfactants (수용액상 계면활성제의 임계 미셀 농도에 대한 N-methyl acetamide의 영향)

  • Alawi, Sadeq M.;Akhter, M. Salim
    • Journal of the Korean Chemical Society
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    • v.55 no.2
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    • pp.163-168
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    • 2011
  • The variations of molar conductivity of various surfactants such as sodium caprylate, sodium laurate, sodium palmitate, sodium stearate, sodium oleate, sodium dodecyl sulphate, and lithium dodecyl sulphate with concentrations of the surfactants for each of the solutions consisting of mixtures of varying concentrations of N-methyl acetamide in water at constant temperature of $30{\pm}0.2^{\circ}C$ were studied. The critical micelle concentration (CMC) for each surfactant is measured. It is found that the CMC values in mixtures of N-methyl acetamide and water solutions of various surfactants are lower than the CMC values in water, and the driving force for micelle formation correlates with solvophobicity. The surfactant-solvent interactions that drive amphiphilic self-organization in N-methyl acetamide in water are discussed. Thermodynamic parameters were evaluated for micellar system to explain the results.

Confusion Model Selection Criterion for On-Line Handwritten Numeral Recognition (온라인 필기 숫자 인식을 위한 혼동 모델 선택 기준)

  • Park, Mi-Na;Ha, Jin-Young
    • Journal of KIISE:Software and Applications
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    • v.34 no.11
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    • pp.1001-1010
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    • 2007
  • HMM tends to output high probability for not only the proper class data but confusable class data, since the modeling power increases as the number of parameters increases. Thus it may not be helpful for discrimination to simply increase the number of parameters of HMM. We proposed two methods in this paper. One is a CMC(Confusion Likelihood Model Selection Criterion) using confusion class data probability, the other is a new recognition method, RCM(Recognition Using Confusion Models). In the proposed recognition method, confusion models are constructed using confusable class data, then confusion models are used to depress misrecognition by confusion likelihood is subtracted from the corresponding standard model probability. We found that CMC showed better results using fewer number of parameters compared with ML, ALC2, and BIC. RCM recorded 93.08% recognition rate, which is 1.5% higher result by reducing 17.4% of errors than using standard model only.