The Split Network Analysis For Exploring Composition Structure Correlations In Multi-Component Glasses: Ii - Multinuclear Nmr Studies Of Alumino-Borosilicates And Glass-Wool Fibers

The preceding part [M. Edén, J. Non.-Cryst. Solids, 357, (2011) 1595-1602] introduced the split network strategy for estimating the network polymerization degree (rA) and mean number of bridging oxygen (BO) atoms for a network former A, given that these parameters are known for all other network builders in the multi-component oxide glass. However, as the detailed ordering of BO and non-bridging oxygen (NBO) species is often difficult to assess experimentally, we summarize some "rules of thumb" for predicting the coordination number and tendency to accept NBO ions for Al3+, B3+, Si4+ and P5+ cations: they are helpful in scenarios devoid of experimental data. Using the parameters r and , we present expressions for the BO/NBO distributions among tetrahedrally coordinated cations, as predicted from the binary and random models. Multinuclear 11B, 27Al and 29Si solid-state NMR is exploited to derive the split network representations of a set of Na:Ca: (Al): (B): SiO glasses. These results are subsequently used to gain structural insight into two commercial glass-wool fibers that constitute alumino-borosilicate networks modified by Na+, K+, Ca2+ and Mg2+ ions.