• Title/Summary/Keyword: Ceramic foam catalyst

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Evaluation of an Organic-Inorganic Hybrid Insulation Material using an Inorganic Filler and Polyurethane with a Foaming Condition (무기질 충진재와 폴리우레탄을 활용한 유·무기 복합 단열소재의 발포조건에 따른 특성 평가)

  • Noh, Hyun-Kyung;Song, Hun;Chu, Yong-Sik;Park, Ji-Sun;Lee, Jong-Kyu
    • Journal of the Korean Ceramic Society
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    • v.49 no.6
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    • pp.654-658
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    • 2012
  • In this work, the properties of an organic-inorganic hybrid insulating material using an inorganic filler and polyurethane foam with different foaming conditions were investigated. At weight ratios of polyol and isocyanate of 1 to 1.2 good foaming properties were noted. In addition, an addition of 0.4 g of water, 0.1 g of surfactant, and 0.1 g of catalyst with respect to the composites of polyol at 5 g and isocyanate at 6 g showed the lowest apparent density and thermal conductivity. The pore size was smaller in the organic-inorganic hybrid foaming body with an increase in the $CaCO_3$ addition amount. Moreover, the apparent density and thermal conductivity were increased when the added amount of $CaCO_3$ increased. Increasing the amount of $CaCO_3$ powder is expected to improve the flame retardant capabilities; however, doing this tends to increase the apparent density and thermal conductivity.

Solar Steam Reforming of Methane utilizing Solar Simulator (Solar Simulator를 이용한 메탄의 수증기 개질 반응)

  • Do, Han-Bin;Han, Gui-Young
    • 한국신재생에너지학회:학술대회논문집
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    • 2008.05a
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    • pp.186-189
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    • 2008
  • Solar simulator를 이용한 메탄의 수증기 개질은 집광된 태양에너지를 이용하기 위한 목적으로 수행되었다. 본 연구에서는 이와 같은 태양열에너지의 화학적 축열을 실시하기 위해 Solar Simulator를 이용한 메탄의 수증기 개질을 연구하였다. 태양열 모사 램프로 1.2kW급 Xenon-arc lamp를 사용하였다. 반응기는 앞면의 Quartz Window와 촉매지지층으로 구성되어 있다. 램프의 빛은 Quartz Window를 통하여 촉매층에 직접적으로 방사되고, 방사된 빛으로 촉매지지층에서 흡열반응이 일어난다.메탄의 수증기개질 반응은 고온에서 일어나기 때문에 촉매지지체를 열에 강한 SiC로 만들어진 Ceramic foam을 사용하였다. 이 촉매지지체에 촉매를 Wash-coat하여 사용하였으며, 담지된 촉매는 Ni을 활성성분으로 하는 ICI 46-6을 사용하였다. 반응기는 318 SUS 재질로 제작되었으며, 반응기 외부는 Insulation을 하여 열손실을 감소시켰다. 실험은 온도와 공간속도에 따른 Solar Steam reforming의 반응특성을 분석하였다.

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Synthesis of Poly(alkylene carbonate) from Carbon Dioxide (이산화탄소로부터 Poly(alkylene carbonate)의 합성)

  • Lee, Yoon-Bae;Choi, Jeong-Hyun
    • Applied Chemistry for Engineering
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    • v.7 no.5
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    • pp.813-822
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    • 1996
  • In order to reduce carbon dioxide, one of the major greenhouse gases, a new type of copolymer, poly(alkylene carbonate) has been synthesized. The alternating copolymers have been obtained from carbon dioxide and various epoxides with zinc carboxylate as a catalyst. The number-average molecular weight of the polymer is about 50,000 and polydispersity is rather broad(5~10). The polymers are amorphous, and glass-clear materials that exhibit unusually facile and clean thermal decomposition behavior. Complete decomposition with no carbon residue is observed at elevated temperature even in an inert atmosphere. Terpolymers with bulkier epoxides improve the physical properties of the copolymer with simple epoxides. The decomposition properties of the polymer provide versatile applications such as ceramic, metal, and electronic binders and lost-foam casting. Further application of the polymer for the barrier film or the plasticizer will be investigated.

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PREDICTION OF EMISSIONS USING COMBUSTION PARAMETERS IN A DIESEL ENGINE FITTED WITH CERAMIC FOAM DIESEL PARTICULATE FILTER THROUGH ARTIFICIAL NEURAL NETWORK TECHNIQUES

  • BOSE N.;RAGHAVAN I.
    • International Journal of Automotive Technology
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    • v.6 no.2
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    • pp.95-105
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    • 2005
  • Diesel engines have low specific fuel consumption, but high particulate emissions, mainly soot. Diesel soot is suspected to have significant effects on the health of living beings and might also affect global warming. Hence stringent measures have been put in place in a number of countries and will be even stronger in the near future. Diesel engines require either advanced integrated exhaust after treatment systems or modified engine models to meet the statutory norms. Experimental analysis to study the emission characteristics is a time consuming affair. In such situations, the real picture of engine control can be obtained by the modeling of trend prediction. In this article, an effort has been made to predict emissions smoke and NO$_{x}$ using cylinder combustion derived parameters and diesel particulate filter data, with artificial neural network techniques in MATLAB environment. The model is based on three layer neural network with a back propagation learning algorithm. The training and test data of emissions were collected from experimental set up in the laboratory for different loads. The network is trained to predict the values of emission with training values. Regression analysis between test and predicted value from neural network shows least error. This approach helps in the reduction of the experimentation required to determine the smoke and NO$_{x}$ for the catalyst coated filters.