DocumentCode :
2739295
Title :
Micro/Nano X-Ray Tomography Reconstruction Tuning Using SEM Images for PEMFC Gas Diffusion Layers
Author :
Ostadi, H. ; Jiang, Kyle ; Prewett, P.D.
Author_Institution :
Sch. of Mech. Eng., Univ. of Birmingham, Birmingham
fYear :
2008
fDate :
18-21 Aug. 2008
Firstpage :
428
Lastpage :
431
Abstract :
X-ray micro/nano tomography is a powerful tool to reveal inside structures of a sample, either an IC chip or a porous material. A challenge in X-ray tomography is to select a correct threshold to ensure the reconstructed models as close to the reality as possible. This paper presents a study to use scanning electron microscope (SEM) images as references for threshold tuning of X-ray micro/nano computed tomography reconstruction. In the research, a GDL layer was scanned using X-ray micro and nano tomography systems. The reconstructed binary images generated from X-ray tomography contain 3D geometric information from the surface to the inside of the layers. In the reconstruction, high resolution SEM images were used to provide the pore sizes of GDL layer. In reference to the features of SEM images, carbon fibre were compared with the reconstructed surface of that feature from X-ray tomography data and provided threshold estimation for reconstruction of the whole structure. Pore size and continuity of the material from both the CT reconstruction and SEM images were analyzed for obtaining the optimum reconstruction.
Keywords :
X-ray microscopy; computerised tomography; image reconstruction; proton exchange membrane fuel cells; scanning electron microscopy; 3D geometric information; CT reconstruction; PEMFC gas diffusion layers; SEM images; X-ray tomography reconstruction tuning; carbon fibre; pore sizes; scanning electron microscope; Computed tomography; Image analysis; Image generation; Image reconstruction; Image resolution; Power system modeling; Scanning electron microscopy; Surface reconstruction; X-ray imaging; X-ray tomography;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Nanotechnology, 2008. NANO '08. 8th IEEE Conference on
Conference_Location :
Arlington, TX
Print_ISBN :
978-1-4244-2103-9
Electronic_ISBN :
978-1-4244-2104-6
Type :
conf
DOI :
10.1109/NANO.2008.131
Filename :
4617113
Link To Document :
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