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Tin NGUYEN-TRUNG Influence of the raw materials quality on the variation of the application and surface parameters of waterborne paints Tin NGUYEN TRUNG.

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Presentation on theme: "Tin NGUYEN-TRUNG Influence of the raw materials quality on the variation of the application and surface parameters of waterborne paints Tin NGUYEN TRUNG."— Presentation transcript:

1 Tin NGUYEN-TRUNG 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 Tin NGUYEN-TRUNG the actual situation: variation in industrial process variation in raw materials quality variation of production batches in respect to application properties no correlation method between raw material and application properties is available

3 Tin NGUYEN-TRUNG 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 Tin NGUYEN-TRUNG the path forward: 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

5 Tin NGUYEN-TRUNG raw materials study to find in the laboratory a simulation method, which is representative of the results obtained in the production line R1R2 R3 R4 raw materials Paint formulation waterborne paint application FingerPrint panel determination of different properties like sagging index, popping, pinhole FAS evaluation

6 Tin NGUYEN-TRUNG 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 orange peel (micro) structure effect color cloudiness mottling redissolving attacking overspray- absorption structure hiding wetting pinholes popping (micro) sagging hiding power hiding power hiding power properties in correlation with filmthickness properties measured in µm film thickness

7 Tin NGUYEN-TRUNG results of raw materials study: use of 4 new Viscalex- batchnumbers

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

9 Tin NGUYEN-TRUNG chemometric evaluation R1R2 R3 R4 raw materials Paint formulation waterborne paint application FingerPrint panel determination of different properties like sagging index, popping, pinhole FAS evaluation spectra spectroscopic measurements

10 Tin NGUYEN-TRUNG 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 Near Infra Red (NIR), Raman and Mid-Infra Red-Attenuated Total Reflection (MIR-ATR)

11 Tin NGUYEN-TRUNG description of the spectroscopic method: 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

12 Tin NGUYEN-TRUNG results of method screening - - - - - - + + -

13 Tin NGUYEN-TRUNG results with MIR-ATR spectroscopy: 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

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

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

16 Tin NGUYEN-TRUNG Conclusion good simulation of the variation of raw materials quality with the FAS-method enlarging the scope of the study to various application properties and raw materials 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

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


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