Prediction of oxygen flux in perovskite membranes.
Résumé
Perovskite materials are studied for their oxygen semi-permeability. Although the diffusion is understood at molecular level, the quantitative prediction of oxygen permeability of a dense membrane is a remaining scientific challenge. Among attempts to establish Structure-Flux properties, most of authors have modelled oxygen transport from permeation data [1,2,3]. This general approach has strong experimental and scientific limitations. Membrane synthesis and testing is time consuming. Moreover, permeation models fail to simulate flux data with respect to oxygen partial pressure and membrane thickness. [2,4] This work objective is to develop a method which enables oxygen permeability prediction from the kinetic parameters determination on powders (Figure 1). Ba0.5Sr0.5Co0.8Fe0.2O3-d have been selected as first case study. Transient steady state isotope exchange (SSITKA) is a powerful technique for surface exchange and diffusion coefficient measurements. Coefficients can be estimated as a function of temperature and oxygen partial pressure. We will discuss on the practical and scientific advantages of the SSTIKA technique with respect to the usual secondary ion mass spectrometry analysis. Our integrated kinetic-transport model, taking into account surface kinetics (resp. Diffusion) as a function of the oxygen partial pressure (resp. thickness), enables the determination of rate determining step of oxygen transport. We will compare our model prediction capabilities with state of the art models. The rational design of oxygen transport membranes will be discussed. The work leading to these results has received funding from the European Union Seventh Framework Program FP7-NMP-2010-Large-4, under grant agreement n° 263007 (acronym CARENA). 1.Ullmann, H., et al, a. Solid State Ionics 138, 7990 (2000). 2.Xu, S. J. & Thomson, W. J. Chem. Eng. Sci. 54, 38393850 (1999). 3.Rebeilleau-Dassonneville, M., et al. Catal. Today 104, 131137 (2005). 4.Baumann, S. et al. J. Memb. Sci. 377, 198205 (2011).