• Title/Summary/Keyword: ternary mixture

검색결과 114건 처리시간 0.024초

규칙입자의 충전 -치밀된 탄화규소 소결체의 제조(제 1 보)- (A Study on Packing of Regular Particles - Preparation of Dense Sintered Silicon Carbide (1) -)

  • 문병훈;남건태;최상욱
    • 한국세라믹학회지
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    • 제31권9호
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    • pp.989-994
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    • 1994
  • This study aims at finding the closest packings of regular shape particles such as sphere, circle rod and hexagonal rod type. As the ratio of particle size to container lowered to less than 1/10, the wall effect decreased gradually. The tap density of spherical particles with almost orthorhombic arrangement was 59.5%, while those of circle rod and hexagonal rod type particles were 63.5% and 63.0% respectively. And it was decreased with increasing the aspect ratio of regular particles. The tap density of binary mixtures was larger than that corresponding to the monosized particles packing by about 15%. The tap density of ternary mixtures was larger than that of corresponding to the packing of binary mixtures by about 9%. This work employed the binary mixture of 60% coarse particles and 40% fine particles with size ratio of 1.0 to 1/10 and the ternary mixture of 60% coarse particles, 20% medium and 20% fine particles with size ratio of 1:1/10:1/400 respectively.

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Fluorescence Spectroscopic and Atomic Force Microscopic Studies on the Microstructure of Polyimide/Silica-Titania Ternary Hybrid Composites

  • Park, Hae-Dong;Ahn, Ki-Youl;Mohammad A. Wahab;Jo, Nam-Ju;Kim, Il;Kim, Gyuhyun;Lee, Won-Ki;Ha, Chang-Sik
    • Macromolecular Research
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    • 제11권3호
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    • pp.172-177
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    • 2003
  • Biphenyltetracarboximide-phenylene diamine polyimide/silica-titania ternary hybrid composites were Prepared by thermal imidization and sol-gel reaction. Fluorescence spectroscopic, scanning electron microscopy, and atomic force microscopy studies revealed that the addition of small amount of titania showed profound effects on the microstructure and photophysical behaviors of polyimide/silica hybrid composites, when the content of silica-titania mixture was small or when the ratio of silica to titania in the mixture was high.

대체냉매의 2중관 응축기 열 및 물질전달과 성능평가 (Heat and Mass Transfer Characteristics and Performance Evaluation of a Double-Tube Condenser for an Alternative Refrigerant)

  • 이상무;박병덕;소산번
    • 설비공학논문집
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    • 제14권6호
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    • pp.468-476
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    • 2002
  • This paper deals with heat and mass transfer characteristics and performance evaluation of a counter flow double-tube condenser for a multi-component refrigerant mixture. The local heat and mass transfer characteristics of ternary zeotropic refrigerant mixtures composed of HFC32/HFC125/HFC134a are evaluated for a counter flow double-tube condenser cooled by water. Then, the local values of vapor quality, thermodynamic states at bulk vapor, vapor-liquid interface and bulk liquid, heat flux and condensation mass flux are obtained. The heat exchange performance for ternary zeotropic refrigerant mixtures composed of HFC32/HFC125/HFC134a on the total pressure drop and the heat transfer characteristics are also compared with those for R404A, R410A, R502, R22, R32, Rl23 and R134a.

혼합물 실험계획법을 이용한 OH라디칼 최적 생성을 위한 삼성분 전극의 비율 선정 (Using Design of Mixture Experiments to Select the Ratio of a Three-Component Electrode for Optimal Generation of Hydroxyl Radicals)

  • 박영식
    • 한국환경과학회지
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    • 제29권8호
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    • pp.793-800
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    • 2020
  • The conventional development of multi-component electrodes is based on the researcher's experience and is based on trial and error. Therefore, there is a need for a scientific method to reduce the time and economic losses thereof and systematize the mixing of electrode components. In this study, we use design of mixture experiments (DOME)- in particular a simplex lattice design with Design Expert program- to attempt to find an optimum mixing ratio for a three-component electrode for the high RNO degradation; RNO is an indictor of OH radical formation. The experiment included 12 experimental points with 2 center replicates for 3 different independent variables (with the molar ratio of Ru, Ti, Ir). As the Prob > F value of the 'Quadratic' model is 0.0026, the secondary model was found to be suitable. Applying the molar ratio of the electrode components to the corrected response model results is an RNO removal efficiency (%) = 59.89 × [Ru] + 9.78 × [Ti] + 67.03 × [Ir] + 66.38 × [Ru] × [Ir] + 132.86 × [Ti] × [Ir]. The R2 value of the equation is 0.9374 after the error term is excluded. The optimized formulation of the ternary electrode for an high RNO degradation was acquired when the molar ratio of Ru 0.100, Ti 0.200, Ir 0.700 (desirability d value, 1).

The Properties of Mortar Mixtures Blended with Natural, Crushed, and Recycled Fine Aggregates for Building Construction Materials

  • Yu, Myoung-Youl;Lee, Jae-Yong;Chung, Chul-Woo
    • 한국건축시공학회지
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    • 제12권1호
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    • pp.73-86
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    • 2012
  • In this research, the possible applicability of mixture blended with natural, crushed, and recycled fine aggregate are discussed. The fresh and hardened properties of mortar using blended fine aggregates are monitored depending on various blending ratio of fine aggregates. Newly developed ternary diagram was also utilized for better interpretation of the data. It was found that air content increased and unit weight decreased as recycled fine aggregate content increased. With moisture type processing of recycled fine aggregate, the mortar flow was not negatively affected by increase in the recycled fine aggregate content. The ternary diagram is found to be an effective graphical presentation tool that can be used for the quality evaluation of mortar using blended fine aggregate.

친수성 정제의 겔층두께와 겔팽창 영역의 조직 특성화 (Textural Characterization of Gel Layer Thickness and Swelling Boundary in a Hydrophilic Compact)

  • 김현조;레자 파시히
    • Journal of Pharmaceutical Investigation
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    • 제31권1호
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    • pp.13-18
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    • 2001
  • This study was to investigate the relationship between the gel layer thickness and swelling boundary via strength measurements using texture analysis. The novel texture analysis approach was used to examine the dynamics of swelling behavior in a ternary polymeric matrix tablet. The method permitted the characterization of the changes occurring at the peripheral as well as within interior boundary of the swelling during water ingress. The increase in gel strength for pectin, HPMC, and a ternary mixture with gelatin was found to depend on polymer concentration. Therefore, this method is further applicable to characterize the swelling behavior and provide opportunity to differentiate the gel-layer from that of swelling boundary.

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삼성분계 혼합물인 n-Nonane+n-Decane+n-Dodecane 계의 하부인화점 측정 (Measurement of Lower Flash Point for Ternary Mixture, n-Nonane+n-Decane+n-Dodecane System)

  • 하동명;이성진
    • 한국가스학회지
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    • 제20권6호
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    • pp.31-36
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    • 2016
  • 인화점은 액체 용액의 가장 중요한 인화성 지표 중 하나이다. 인화점은, 가연성 증기의 공기 속 농도가 점화가 발생하기에 충분할 때의 온도 중 가장 낮은 온도이다. 본 연구에서는 삼성분계 액체 용액인, n-nonane+n-decane+n-dodecane acid 계의 인화점을 Seta flash 밀폐식 장치를 사용하여 측정하였다. 실험값은 라울의 법칙을 활용한 방법과 실험식에 의한 계산값과 비교되었다. 그 결과 실험식에 의한 계산값이 라울의 법칙에 의한 계산값 보다 측정값을 잘 모사하였다.

Predicting sorptivity and freeze-thaw resistance of self-compacting mortar by using deep learning and k-nearest neighbor

  • Turk, Kazim;Kina, Ceren;Tanyildizi, Harun
    • Computers and Concrete
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    • 제30권2호
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    • pp.99-111
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    • 2022
  • In this study, deep learning and k-Nearest Neighbor (kNN) models were used to estimate the sorptivity and freeze-thaw resistance of self-compacting mortars (SCMs) having binary and ternary blends of mineral admixtures. Twenty-five environment-friendly SCMs were designed as binary and ternary blends of fly ash (FA) and silica fume (SF) except for control mixture with only Portland cement (PC). The capillary water absorption and freeze-thaw resistance tests were conducted for 91 days. It was found that the use of SF with FA as ternary blends reduced sorptivity coefficient values compared to the use of FA as binary blends while the presence of FA with SF improved freeze-thaw resistance of SCMs with ternary blends. The input variables used the models for the estimation of sorptivity were defined as PC content, SF content, FA content, sand content, HRWRA, water/cementitious materials (W/C) and freeze-thaw cycles. The input variables used the models for the estimation of sorptivity were selected as PC content, SF content, FA content, sand content, HRWRA, W/C and predefined intervals of the sample in water. The deep learning and k-NN models estimated the durability factor of SCM with 94.43% and 92.55% accuracy and the sorptivity of SCM was estimated with 97.87% and 86.14% accuracy, respectively. This study found that deep learning model estimated the sorptivity and durability factor of SCMs having binary and ternary blends of mineral admixtures higher accuracy than k-NN model.