• Title/Summary/Keyword: 표면착화모델링

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Ion Exchange Modeling with Mass Action Law and Surface Complexation Models (질량작용법칙과 표면착화모델을 이용한 이온교환 모델링)

  • 이인형;안현경;김상대
    • Proceedings of the KAIS Fall Conference
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    • 2003.06a
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    • pp.322-324
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    • 2003
  • 이온교환은 액체상에 존재하는 이온과 고체상에 존재하는 이온이 당량적으로 치환되는 것으로 정의하며, 치환되는 정도는 일반적으로 전하의 크기와 이온이 수화반경에 따라 달라진다. 지금까지의 이온교환 반응에 대한 모델링 연구는 실험식, 질량작용식, 열역학식, 전기이중층이론, 표면착화모델 등을 이용하여 2 성분에 대하여 다양한 시도를 하였다. 본 연구에서는 2, 3, 4성분에 대해 질량작용법칙과 전기이중층이론을 조합한 표면착화모델과 질량작용법칙을 이용한 모델을 수행하였다. 그 결과 표면착화모델이 질량작용법칙을 이용한 것보다 실험치와 일치함을 알 수 있었다.

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Ion Exchange Modeling with Mass Action Law and Surface Complexation Models (질량작용법칙과 표면착화모델을 이용한 이온교환 모델링)

  • 안현경;김상대;이인형
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.4 no.3
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    • pp.296-300
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    • 2003
  • A large equilibrium and kinetic data set for multi-component cation exchanges was obtained and tested with mass action law and surface complexation model. The systematic batch equilibrium and column experiments of cation adsorption were conducted for binary, ternary, quaternary, and quinary cation exchanges involving $ H^{+}, Li^ {+}, Na^{+}, NH$_4$^{+}, Mg^{2+} $ on a strongly acidic cation exchange resin IRN 77. The mass action law and surface complexation model were tested against both data set to investigate the consistency of ion selectivity and their predictability for competitive cation exchanges. Surface complexation model provided more accurate predictions for both equilibrium and kinetic experimental data than mass action model.

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Surface Complexation of Cationic Metal Adsorption Onto Amorphous Aluminum Oxide (무정형 알루미늄 산화물에 의한 양이온 중금속의 표면착화)

  • Park, Youn-Jong;Yang, Jae-Kyu;Choi, Sang-Il
    • Journal of Soil and Groundwater Environment
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    • v.13 no.1
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    • pp.101-109
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    • 2008
  • The adsorption characteristics of cationic metals such as copper, cadmium, and lead onto the amorphous aluminum oxide, AMA-L, which was mineralized from raw sanding powder at $550^{\circ}C$ were investigated. Additionally, surface complexation reaction of cationic heavy metals onto AMA-L was simulated with MINEQL + software employing a diffuse layer model. From the batch adsorption tests in a single element system, the adsorption affinity of each metal ion onto AMA-L was following order: lead > copper > cadmium. In a binary system composed with copper and cadmium, quite a similar adsorption affinity was observed in each metal ion compared to the single element system. When the surface complexation constants obtained in the single system were used in the prediction of experimental adsorption results, model predictions were well fitted with experimental results of both single and binary systems.

Ion Exchange Modeling in ETA and NH$_3$ Aqueous Solutions (ETA 및 암모니아 수용액에서 이온교환 모델링)

  • 안현경;김상대;이인형
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.4 no.3
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    • pp.307-311
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    • 2003
  • The test did for the determine the optimized ratio of cation to anion in mixed ion exchange demineralizers. Binary, ternary, quaternary, and quinary cation and anion adsorption was performed to develop a comprehensive experimental data set from small-volume batch tests to obtain the selectivity coefficients of many cations and anions. The quantitative run time might be estimated by such ion exchange models as semi-empirical mass action and surface complexation models. The demineralizer can be used longer by increasing the ratios of cation to anion exchange resins in the bed.

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Reliability Prediction of Electronic Arm Fire Device Applying Sensitivity Analysis (민감도 해석을 적용한 전자식 점화안전장치의 신뢰도 추정)

  • Kim, Dong-seong;Jang, Seung-gyo;Lee, Hyo-Nam;Son, Young Kap
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.46 no.5
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    • pp.393-401
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    • 2018
  • Reliability prediction of an electronic arm fire device(EAFD) was studied which is applied to prevent accidental ignition in a solid rocket motor. For predicting the reliability, the main components of the EAFD were first defined(Control unit, LEEFI, TBI) and the operating principle of each component was analyzed. Performance modeling of each part is established using selected input variables through system analysis. When complex analysis is required, we approximated it with polynomial equation using response surface method. Monte-Carlo simulation is applied to performance modeling to estimate the design reliability.