Crystallographic Orientation Identification in Multicrystalline Silicon Wafers Using NIR Transmission Intensity

Near-infrared (NIR) polariscopy is a technique used for the non-destructive evaluation of the in-plane stresses in photovoltaic silicon wafers. Accurate evaluation of these stresses requires correct identification of the stress-optic coefficient, a material property which relates photoelastic parame...

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Published inJournal of electronic materials Vol. 47; no. 2; pp. 1030 - 1037
Main Authors Skenes, Kevin, Kumar, Arkadeep, Prasath, R. G. R., Danyluk, Steven
Format Journal Article
LanguageEnglish
Published New York Springer US 01.02.2018
Springer Nature B.V
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ISSN0361-5235
1543-186X
DOI10.1007/s11664-017-5982-y

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Abstract Near-infrared (NIR) polariscopy is a technique used for the non-destructive evaluation of the in-plane stresses in photovoltaic silicon wafers. Accurate evaluation of these stresses requires correct identification of the stress-optic coefficient, a material property which relates photoelastic parameters to physical stresses. The material stress-optic coefficient of silicon varies with crystallographic orientation. This variation poses a unique problem when measuring stresses in multicrystalline silicon (mc-Si) wafers. This paper concludes that the crystallographic orientation of silicon can be estimated by measuring the transmission of NIR light through the material. The transmission of NIR light through monocrystalline wafers of known orientation were compared with the transmission of NIR light through various grains in mc-Si wafers. X-ray diffraction was then used to verify the relationship by obtaining the crystallographic orientations of these assorted mc-Si grains. Variation of transmission intensity for different crystallographic orientations is further explained by using planar atomic density. The relationship between transmission intensity and planar atomic density appears to be linear.
AbstractList Near-infrared (NIR) polariscopy is a technique used for the non-destructive evaluation of the in-plane stresses in photovoltaic silicon wafers. Accurate evaluation of these stresses requires correct identification of the stress-optic coefficient, a material property which relates photoelastic parameters to physical stresses. The material stress-optic coefficient of silicon varies with crystallographic orientation. This variation poses a unique problem when measuring stresses in multicrystalline silicon (mc-Si) wafers. This paper concludes that the crystallographic orientation of silicon can be estimated by measuring the transmission of NIR light through the material. The transmission of NIR light through monocrystalline wafers of known orientation were compared with the transmission of NIR light through various grains in mc-Si wafers. X-ray diffraction was then used to verify the relationship by obtaining the crystallographic orientations of these assorted mc-Si grains. Variation of transmission intensity for different crystallographic orientations is further explained by using planar atomic density. The relationship between transmission intensity and planar atomic density appears to be linear.
Author Kumar, Arkadeep
Danyluk, Steven
Skenes, Kevin
Prasath, R. G. R.
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Keywords NIR polariscope
silicon
x-ray diffraction
crystallographic orientation
Residual stress
photovoltaics
planar atomic density
Language English
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Snippet Near-infrared (NIR) polariscopy is a technique used for the non-destructive evaluation of the in-plane stresses in photovoltaic silicon wafers. Accurate...
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SubjectTerms Characterization and Evaluation of Materials
Chemistry and Materials Science
Coefficient of variation
Crystallography
Deformation
Destructive testing
Electronics and Microelectronics
Grains
Instrumentation
Light diffraction
Materials research
Materials Science
Nondestructive testing
Optical and Electronic Materials
Orientation
Physical stress
Polycrystals
Silicon
Silicon wafers
Solid State Physics
Wafers
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Title Crystallographic Orientation Identification in Multicrystalline Silicon Wafers Using NIR Transmission Intensity
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