Analysis of Glass and Raw Materials
Scope
The analysis of glass and raw materials is demonstrated in the manufacturing of soda-lime glass.
Background
Soda-lime glass makes up 90% of the global glass production and is used to make windows, glassware and bottles. Common raw materials include sodium carbonate (soda), calcium carbonate (limestone), calcium oxide (lime), dolomite, alumina, slags and sand (SiO₂). Raw materials must be screened and mixed properly to give the desired glass properties for the finished products. Metal oxides such as CrO₃ and Fe₂O₃ impart color to the glass, and so must also be closely monitored during production. Final glass composition is then monitored to ensure the highest quality product. Rigaku NEX CG meets these measurements needs in a simple to use benchtop system, ideally designed for the at-line non-technical QC technician and the advanced technical user alike.
Model: NEX CG
NEX CG results: Finished glass
Glass disk samples were provided by a manufacturing site for analysis. Values were obtained by 4 kW WDXRF as assays. Fundamental Parameters (FP) was used to model the spectra and elemental composition. FP results were optimized using a Matching Library consisting of two assayed samples.
Production Glass Disk #93 Units: mass% |
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Component | WDXRF value | NEX CG result | Statistical error |
Na₂O | 13.74 | 13.88 | 0.16 |
MgO | 4.01 | 3.99 | 0.05 |
Al₂O₃ | 0.14 | (0.12) | 0.02 |
SiO₂ | 72.85 | 72.86 | --- |
SO₃ | 0.184 | 0.182 | 0.003 |
Cl | 0.006 | 0.007 | 0.0002 |
K₂O | 0.042 | 0.042 | 0.003 |
CaO | 8.90 | 8.87 | 0.02 |
TiO₂ | 0.017 | 0.014 | 0.001 |
Cr₂O₃ | 0.0003 | ND | --- |
MnO₂ | 0.0013 | (0.0008) | 0.0002 |
Fe₂O₃ | 0.0663 | 0.0620 | 0.0019 |
SrO | 0.006 | 0.007 | 0.0002 |
ZrO₂ | 0.006 | 0.009 | 0.0005 |
ND = Not Detected ( ) = Below Lower Limit of Quantification
Production Glass Disk #23 Units: mass% |
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Component | WDXRF value | NEX CG result | Statistical error |
Na₂O | 13.77 | 13.79 | 0.17 |
MgO | 3.88 | 3.91 | 0.05 |
Al₂O₃ | 0.05 | ND | --- |
SiO₂ | 72.73 | 72.76 | --- |
SO₃ | 0.205 | 0.199 | 0.003 |
Cl | 0.008 | 0.007 | 0.0003 |
K₂O | 0.007 | (0.008) | 0.002 |
CaO | 9.23 | 9.17 | 0.02 |
TiO₂ | 0.009 | 0.011 | 0.0006 |
Cr₂O3 | 0.0003 | ND | --- |
MnO₂ | 0.0009 | (0.0006) | 0.0002 |
Fe₂O₃ | 0.0119 | 0.0116 | 0.0009 |
SrO | 0.005 | 0.005 | 0.0002 |
ZrO₂ | 0.006 | 0.008 | 0.0005 |
ND = Not Detected ( ) = Below Lower Limit of Quantification
NEX CG results: Raw materials
Raw materials were measured as hydraulically pressed pellets using Rigaku Scattering FP for screening purposes. To enhance FP performance it is recommended to create a Matching Library.
Sand Units: mass% |
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Component | RPF-SQX result |
Statistical error |
Al₂O₃ | 0.054 | 0.0045 |
SiO₂ | 96.57 | 0.0867 |
K₂O | 0.131 | 0.0083 |
CaO | 0.033 | 0.0038 |
TiO₂ | 0.018 | 0.0007 |
Cr₂O₃ | 0.0073 | 0.0005 |
Fe₂O₃ | 0.037 | 0.0009 |
Co₂O₃ | 0.0008 | 0.0004 |
CuO | 0.0017 | 0.0001 |
SrO | 0.0017 | 0.0001 |
Soda Ash Units: mass% |
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Component | RPF-SQX result |
Statistical error |
Na₂O | 64.63 | 0.0971 |
Al₂₃ | 0.017 | 0.0007 |
SiO₂ | 0.091 | 0.0005 |
SO₃ | 0.022 | 0.0004 |
K₂O | 0.0041 | 0.0024 |
CaO | 0.016 | 0.001 |
Cr₂O₃ | 0.0001 | 0.0002 |
Fe₂O₃ | 0.0028 | 0.0003 |
CuO | 0.0011 | 0.0001 |
Dolomite Units: mass% |
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Component | RPF-SQX result | Statistical error |
MgO | 18.19 | 0.0430 |
Al | 0.0775 | 0.0013 |
SiO₂ | 0.314 | 0.0025 |
S | 0.0106 | 0.0002 |
Cl | 0.0033 | 0.0001 |
CaO | 36.61 | 0.0390 |
Ti | 0.0020 | 0.0003 |
Cr | 0.0003 | 0.0001 |
Mn | 0.0025 | 0.0003 |
Fe | 0.0174 | 0.0004 |
Cu | 0.0010 | 0.0001 |
Zn | 0.0005 | 0.0001 |
Sr | 0.0137 | 0.0001 |
Lime Units: mass% |
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Component | RPF-SQX result |
Statistical error |
MgO | 0.869 | 0.0078 |
Al₂O₃ | 0.685 | 0.0029 |
SiO₂ | 2.02 | 0.0053 |
SO₃ | 0.236 | 0.0008 |
K₂O | 0.161 | 0.0078 |
CaO | 61.64 | 0.0869 |
TiO₂ | 0.027 | 0.0031 |
Cr₂O₃ | 0.0020 | 0.0012 |
MnO | 0.044 | 0.0014 |
Fe₂O₃ | 0.337 | 0.0026 |
Co₂O₃ | 0.0047 | 0.0008 |
CuO | 0.0032 | 0.0002 |
SrO | 0.017 | 0.0001 |
Fundamental parameters
Rigaku RPF-SQX Fundamental Parameters (FP) and Scattering FP
The Rigaku RPF-SQX software automatically deconvolutes spectral peaks and models the sample matrix and X-ray absorption/enhancement effects using fundamental XRF equations. The versatile RPF-SQX software is simple to use and offers many ways to craft a matrix model based on the specific glass or raw material composition. This allows for semi-quantitative analysis without the use of any reference standards, typically returning concentration results on the order of 15-20% relative.
Scattering FP is the Rigaku technique of using the measurement of the Compton and Thomson (Rayleigh) scatter peaks to gain valuable information about the sample matrix. By comparing the Compton and Thomson scatter peaks, the average atomic number of the sample is calculated and from this the percentage of the sample that cannot be measured (elements H - F) is estimated, improving the quantification of the elements Na – U. Use of Scattering FP is ideal for the analysis of raw materials where the composition of the unmeasureable balance of the sample can change significantly from sample to sample.
Matching library
The semi-quantitative measurements using RPF-SQX can be further optimized with the use of a Matching Library. A Matching Library is easily created by the operator using the measurements of one or more assayed reference samples of the material type. The measurements of these “type standards” are registered in a library specific for the particular material composition of interest and give the FP theoretical equations examples of the actual matrix. Depending on the number of type standards and how closely the type standards resemble the material composition of interest, use of a Matching Library can typically improve accuracy to approximately 5-10% relative.
Conclusion
The Rigaku NEX CG yields excellent performance for the elemental analysis of raw materials and final characterization of finished glass. If desired, FP semi-quantification can be improved with Matching Libraries based on one or more assayed type standards of the particular material type, as shown in the glass analyses. The NEX CG software is powerful and flexible, yet simple and intuitive to operate. These features make the NEX CG an ideal EDXRF tool for screening and characterization of glass and raw materials at the production line for optimum product QA/QC, in the quality laboratory and in R&D.
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