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Ionic diffusion and the topological origin of fragility in silicate glasses

机译:硅酸盐玻璃的离子扩散和脆性的拓扑起源

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Mass transport in liquids and glass is intimately connected to the structure and topology of the disordered network. To investigate this problem, we measure the ionic diffusivity and fragility of a series of iron-bearing alkali-alkaline earth silicate glasses, substituting different types of alkali and alkaline earth cations while keeping the same ratio of network modifiers. Diffusion is studied around the glass transition temperature (T_g) under a reducing atmosphere, leading to a reduction of Fe~(3+) to Fe2+, and inward diffusion of the modifier cations. In the SiO_2–CaO–Fe_2O_3–A_2O (A=Na, K, Rb, or Cs) glass series, we find that the Ca2+ ions diffuse faster than alkali ions and that the activation energy of the Ca~(2+) diffusion decreases with alkali size, a trend that is coincident with a decrease in liquid fragility. We have established a simple model for accurately describing the correlation between the fragility index (m) and T_g based on a topological consideration of the glass network. The model builds on a temperature-dependent constraint approach where the Vogel temperature serves as a rigidity percolation threshold. This follows from our derivation of the Vogel–Fulcher– Tammann equation of viscosity from the more accurate Mauro–Yue–Ellison–Gupta–Allan equation. The established model provides an excellent prediction of the relationship between fragility and Tg, except for the MgO-containing glass where Mg~(2+) is known to play a unique topological role in the network. This trend is in coincidence with the considerably faster inward diffusion of Mg~(2+) in comparison to other alkaline earth cations.
机译:液体和玻璃中的物质传输与无序网络的结构和拓扑紧密相连。为了研究这个问题,我们测量了一系列含铁碱金属碱土金属硅酸盐玻璃的离子扩散性和脆性,用不同类型的碱金属和碱土金属阳离子替代,同时保持相同比例的网络改性剂。研究了在还原气氛下玻璃化转变温度(T_g)附近的扩散,从而导致Fe〜(3+)还原为Fe2 +,以及改性剂阳离子向内扩散。在SiO_2–CaO–Fe_2O_3–A_2O(A = Na,K,Rb或Cs)玻璃系列中,我们发现Ca2 +离子的扩散速度快于碱离子,并且Ca〜(2+)扩散的活化能降低碱度的变化趋势与液体脆性的下降相吻合。我们基于玻璃网络的拓扑考虑,建立了一个简单模型来准确描述脆性指数(m)和T_g之间的相关性。该模型基于温度相关的约束方法,其中Vogel温度用作刚度渗流阈值。这是根据我们从更精确的Mauro-Yue-Ellison-Gupta-Allan方程推导的Vogel-Fulcher-Tammann粘度方程得出的。建立的模型可以很好地预测脆性和Tg之间的关系,除了含MgO的玻璃(其中Mg〜(2+)在网络中起独特的拓扑作用)外。与其他碱土金属阳离子相比,这种趋势与Mg〜(2+)的向内扩散快得多。

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