首页> 外文期刊>The European physical journal, B. Condensed matter physics >Pore size distribution in porous glass: fractal dimension obtained by calorimetry
【24h】

Pore size distribution in porous glass: fractal dimension obtained by calorimetry

机译:多孔玻璃中的孔径分布:通过量热法获得的分形维数

获取原文
获取原文并翻译 | 示例
           

摘要

By differential Scanning Calorimetry (DSC), at low heating rate and using a technique of fractionation, we have measured the equilibrium DSC signal (heat flow) J_q~0 of two families of porous glass saturated with water. The shape of the DSC peak obtained by these techniques is dependent on the sizes distribution of the pores. For porous glass with large pore size distribution, obtained by sol-gel technology, we show that in the domain of ice melting, the heat flow J_q is related to the melting temperature depression of the solvent, ΔT_m, by the scaling law: J_q~0 ~ ΔT_m~(-(1+D)). We suggest that the exponent D is of the order of the fractal dimension of the backbone of the pore network and we discuss the influence of the variation of the melting enthalpy with the temperature on the value of this exponent. Similar D values were obtained from small angle neutron scattering and electronic energy transfer measurements on similar porous glass. The proposed scaling law is explained if one assumes that the pore size distribution is self similar. In porous glass obtained from mesomorphic copolymers, the pore size distribution is very sharp and therefore this law is not observed. One concludes that DSC, at low heating rate (q ≤ 2 ℃/min) is the most rapid and less expensive method for determining the pore distribution and the fractal exponent of a porous material.
机译:通过差示扫描量热法(DSC),在低加热速率下并使用分馏技术,我们测量了用水饱和的两类多孔玻璃的平衡DSC信号(热流)J_q〜0。通过这些技术获得的DSC峰的形状取决于孔的尺寸分布。对于通过溶胶-凝胶技术获得的具有大孔径分布的多孔玻璃,我们显示出在冰融化的范围内,热流J_q与溶剂的熔融温度下降ΔT_m有关,其缩放律为: 0〜ΔT_m〜(-(1 + D))。我们认为指数D大约是孔隙网络主链的分形维数,我们讨论了熔化焓随温度的变化对指数值的影响。从小角度中子散射和类似多孔玻璃上的电子能量转移测量中获得了相似的D值。如果假设孔径分布是自相似的,则说明提出的缩放定律。在由介晶共聚物获得的多孔玻璃中,孔径分布非常尖锐,因此没有观察到该规律。一个结论是,在低加热速率(q≤2℃/ min)下,DSC是确定多孔材料的孔分布和分形指数的最快速,最便宜的方法。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号