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Analysis of grain structure evolution via image processing based on optical measurements of mc Si wafers
- Source :
- 2016 IEEE 43rd Photovoltaic Specialists Conference (PVSC).
- Publication Year :
- 2016
- Publisher :
- IEEE, 2016.
-
Abstract
- A fast and thorough characterization of grain structure in multicrystalline silicon (mc-Si) is crucial to improve crystal growth and thus bulk lifetime in solar cells. The presented characterization techniques are based on simple optical measurements on as-cut mc-Si wafers. An insight into the entire brick is gained by connecting 2D-information, computed via advanced pattern recognition techniques, over brick height. We identify robust statistical key parameters. Their development within typical bricks of different cast-Si techniques is compared and it is found that the distinct behavior of different materials in the lower part of the brick subsides towards the brick top where grain size distribution is similar.
- Subjects :
- 010302 applied physics
Brick
Materials science
Silicon
business.industry
Metallurgy
chemistry.chemical_element
Crystal growth
Image processing
02 engineering and technology
021001 nanoscience & nanotechnology
01 natural sciences
Characterization (materials science)
Grain growth
chemistry
0103 physical sciences
Particle-size distribution
Optoelectronics
Wafer
0210 nano-technology
business
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2016 IEEE 43rd Photovoltaic Specialists Conference (PVSC)
- Accession number :
- edsair.doi...........a1744d2991447a6ec699b279168640de
- Full Text :
- https://doi.org/10.1109/pvsc.2016.7749825