TY  - JOUR
AV  - public
ID  - discovery10063270
VL  - 2
EP  - 2635
SN  - 2398-4902
A1  - Heenan, TMM
A1  - Lu, X
A1  - Finegan, DP
A1  - Robinson, J
A1  - Iacoviello, F
A1  - Bailey, JJ
A1  - Brett, DJL
A1  - Shearing, PR
SP  - 2625
N2  - Degradation mechanisms within solid oxide fuel cells (SOFC) during thermal cycling limit operational start-up times and cell lifetime, and must therefore be better understood and mitigated. This work explores such mechanisms using digital volume correlation (DVC) techniques applied to lab-based X-ray tomograms where the microstructural evolution is evaluated during the operational cycling of a Ni-YSZ/YSZ cell. To emulate reduced start-up times, five tomograms were collected over four operational thermal cycles to 750 °C at various ramp-rates: 3, 10, 20 and 30 °C min-1. Two key features are observed in the 3D strain profiles. Firstly, during low ramp-rates the material produces microscopic channels towards cluster-points. This is thought to be caused by the ceramic skeleton inhibiting the effects of sintering. Secondly, previously unseen macroscopic 'waves' developed after high-rate cycling, consisting of linear regions of compression and tension throughout the sample. These wave features decay away from a heterogeneous defect which is thought to be responsible for the non-uniform strain profile. This work demonstrates the first use of sub-micron DVC computations applied to an SOFC exposed to operationally relevant temperatures. These findings will assist in the development of new electrode materials from their fabrication to operation, ultimately supporting commercial viability of SOFCs.
UR  - https://doi.org/10.1039/c8se00292d
Y1  - 2018///
JF  - Sustainable Energy and Fuels
N1  - This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
TI  - Evaluating microstructure evolution in an SOFC electrode using digital volume correlation
ER  -