Details
| Original language | English |
|---|---|
| Article number | 064008 |
| Journal | Measurement Science and Technology |
| Volume | 29 |
| Issue number | 6 |
| Publication status | Published - 9 May 2018 |
Abstract
Local and global liquid transport properties correlate strongly with the morphology of porous materials. Therefore, by characterizing the porous network information is indirectly gained on the materials properties. Properties like the open-porosity are easily accessible with techniques like mercury porosimetry. However, the 3D image reconstruction, destructive or non-destructive, holds advantages like an accurate spatially resolved representation of the investigated material. Common 3D data acquisition is done by x-ray microtomography or a combination of focused ion beam based milling and scanning electron microscopy. In this work a reconstruction approach similar to the latter one is implemented. The porous network is reconstructed based on an alternating process of milling the surface by fly cutting and measuring the surface data with a confocal laser scanning microscope. This has the benefit of reconstructing the pore network on the basis of surface height data, measuring the structure boundaries directly. The stack of milled surface height data needs to be registered and the pore structure to be segmented. The segmented pore structure is connected throughout each height layer and afterwards meshed. The investigated materials are porous surface coatings of aluminum oxide for the usage in tribological pairings.
Keywords
- 3D measurement data, 3D reconstruction, confocal laser scanning microscopy, porous microstructure
ASJC Scopus subject areas
- Physics and Astronomy(all)
- Instrumentation
- Engineering(all)
- Engineering (miscellaneous)
- Mathematics(all)
- Applied Mathematics
Cite this
- Standard
- Harvard
- Apa
- Vancouver
- BibTeX
- RIS
In: Measurement Science and Technology, Vol. 29, No. 6, 064008, 09.05.2018.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - 3D reconstruction of the porous microstructure of Al2O3-coatings based on sequentially revealed surface data
AU - Loftfield, Nina
AU - Kästner, Markus
AU - Reithmeier, Eduard
N1 - © 2018 IOP Publishing Ltd
PY - 2018/5/9
Y1 - 2018/5/9
N2 - Local and global liquid transport properties correlate strongly with the morphology of porous materials. Therefore, by characterizing the porous network information is indirectly gained on the materials properties. Properties like the open-porosity are easily accessible with techniques like mercury porosimetry. However, the 3D image reconstruction, destructive or non-destructive, holds advantages like an accurate spatially resolved representation of the investigated material. Common 3D data acquisition is done by x-ray microtomography or a combination of focused ion beam based milling and scanning electron microscopy. In this work a reconstruction approach similar to the latter one is implemented. The porous network is reconstructed based on an alternating process of milling the surface by fly cutting and measuring the surface data with a confocal laser scanning microscope. This has the benefit of reconstructing the pore network on the basis of surface height data, measuring the structure boundaries directly. The stack of milled surface height data needs to be registered and the pore structure to be segmented. The segmented pore structure is connected throughout each height layer and afterwards meshed. The investigated materials are porous surface coatings of aluminum oxide for the usage in tribological pairings.
AB - Local and global liquid transport properties correlate strongly with the morphology of porous materials. Therefore, by characterizing the porous network information is indirectly gained on the materials properties. Properties like the open-porosity are easily accessible with techniques like mercury porosimetry. However, the 3D image reconstruction, destructive or non-destructive, holds advantages like an accurate spatially resolved representation of the investigated material. Common 3D data acquisition is done by x-ray microtomography or a combination of focused ion beam based milling and scanning electron microscopy. In this work a reconstruction approach similar to the latter one is implemented. The porous network is reconstructed based on an alternating process of milling the surface by fly cutting and measuring the surface data with a confocal laser scanning microscope. This has the benefit of reconstructing the pore network on the basis of surface height data, measuring the structure boundaries directly. The stack of milled surface height data needs to be registered and the pore structure to be segmented. The segmented pore structure is connected throughout each height layer and afterwards meshed. The investigated materials are porous surface coatings of aluminum oxide for the usage in tribological pairings.
KW - 3D measurement data
KW - 3D reconstruction
KW - confocal laser scanning microscopy
KW - porous microstructure
UR - http://www.scopus.com/inward/record.url?scp=85047338112&partnerID=8YFLogxK
U2 - 10.1088/1361-6501/aabe3e
DO - 10.1088/1361-6501/aabe3e
M3 - Article
AN - SCOPUS:85047338112
VL - 29
JO - Measurement Science and Technology
JF - Measurement Science and Technology
SN - 0957-0233
IS - 6
M1 - 064008
ER -