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Tin NGUYEN TRUNG Institute of Physical Chemistry, University of Duisburg-Essen

Influence of the raw materials quality on the variation of the application and surface parameters of waterborne paints. Tin NGUYEN TRUNG Institute of Physical Chemistry, University of Duisburg-Essen DuPont Performance Coatings GmbH, Wuppertal.

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Tin NGUYEN TRUNG Institute of Physical Chemistry, University of Duisburg-Essen

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  1. Influence of the raw materials quality on the variation of the application and surface parameters of waterborne paints Tin NGUYEN TRUNG Institute of Physical Chemistry, University of Duisburg-Essen DuPont Performance Coatings GmbH, Wuppertal

  2. variation of production batches in respect to application properties no correlation method between raw material and application properties is available the actual situation: • variation in industrial process • variation in raw materials quality

  3. the aim: evaluation of the variation of the raw material quality in the production process with a laboratory simulation method • sample response time < 2 days • good R&R results • easy transferable to different sites • financial advantages

  4. to prove the existence of a correlation between the laboratory FAS values and the online results of the production department to find with the help of the spectroscopy a correlation between surface’s properties and measured spectra to determine the quality of raw materials and wet paints as soon as possible the path forward:

  5. R1 R4 R2 determination of different properties like sagging index, popping, pinhole FAS evaluation R3 application formulation Paint to find in the laboratory a simulation method, which is representative of the results obtained in the production line waterborne paint FingerPrint panel raw materials raw materials study

  6. (micro)sagging (micro)sagging pinholespopping pinholespopping properties measured in µm hiding power hidingpower orangepeel orangepeel wetting wetting film thickness structurehiding structurehiding (micro)structure (micro)structure overspray-absorption overspray-absorption effectcolor effectcolor properties in correlation with filmthickness cloudinessmottling cloudinessmottling redissolvingattacking the Fingerprint Analysis System (FAS): • measurement of the correlation of the surface's properties and the paint film thickness • rapid availability and very good R&R results • simulation of process results in a lab environment

  7. use of 4 new Viscalex-batchnumbers results of raw materials study:

  8. laboratory influence of the viscalex quality on the viscosity value of wet paints and on the sagging index significant additional quality problems with materials containing this viscalex batchnumbers (solid extract, sagging index, viscosity, pH-value) production conclusion of the raw materials study:

  9. R1 R4 R2 determination of different properties like sagging index, popping, pinhole FAS evaluation R3 application formulation Paint raw materials waterborne paint FingerPrint panel spectroscopic measurements chemometric evaluation spectra

  10. Near Infra Red (NIR), Raman and Mid-Infra Red-Attenuated Total Reflection (MIR-ATR) screened spectroscopic methods: • no preparation of samples • non-destructive investigation • possibility to use optical fibres for in-situ measurements • routine application • rapid availability of the results

  11. to record NIR, Raman and MIR-ATR spectra of raw materials and corresponding wet paints to connect spectra with the measured values of different properties by the FAS method to use a chemometric evaluation to find a quantitative and qualitative correlation description of the spectroscopic method:

  12. - - + - - + - - - results of method screening

  13. correlation for the study of popping and sagging index with spectra of wet paints no correlation for the study of pinholes good results for the quantitative correlation with a Partial Least Square (PLS) regression results with MIR-ATR spectroscopy:

  14. r²= 0,92 error of calibration=0,72µm error of prediction=1,11µm calibration curve measured value predicted value evaluation result of popping with the Unscrambler software

  15. r²= 0,84 error of calibration=0,72µm error of prediction=1,11µm calibration curve measured value predicted value evaluation result of the sagging index with the Unscrambler software

  16. Conclusion • good simulation of the variation of raw materials quality with the FAS-method • correlation between wet paints and MIR-ATR spectroscopy for properties only dependant on the raw materials quality • evaluation of final benefits of this simulation method • enlarging the scope of the study to various application properties and raw materials

  17. Acknowledgments Prof. Dr. Heinz Wilhelm Siesler Dipl. Phys. Christian Voyé Dr. Marc Chilla Prof. Dr. Gerhard Peschel

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