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The characterization and effects of microstructure on the appearance of platelet–polymer composite coatings

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Abstract

Although color and appearance have a psychological component, they are material properties that can be of considerable significance and economic importance to designers. Paint systems are materials that have a primary role of modifying the appearance of an engineering structure. The determination of structure–property relationships is recognized as a defining feature for different branches of materials science. These relationships are at the heart of the predictive models required for the development of new materials. Here we explore some of the microstructural parameters that control the appearance of platelet-containing paint systems. The orientation of platelets is a microstructural property known to affect the appearance of platelet-containing paints. However, prior works examined only a limited set of samples. Additionally, they did not identify other potential microstructural/formulation changes that could affect the relationship between orientation and appearance. In this paper, the orientation of the platelets was verified to be the major microstructural parameter that influenced the lightness of the paint system. In addition, the strength of this influence was shown to vary because of specific formulation changes, such as platelet size and volume fraction. The relationship between orientation and appearance was shown to depend on an additional microstructural property that is related to the size of the gaps between the platelets. We termed this additional microstructural property the gap factor. The size of the gaps between the platelets, and the coverage/shadowing of platelets by other platelets, was found to affect the scattering behavior of the system, particularly near the specular reflection direction. For example, larger gaps increase the probability of multiple reflections between the platelets. These results will guide the on-going work to develop improved structure–property relationships. Improved structure–property relationships are expected to provide more accurate models for the appearance of platelet-containing paint systems.

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References

  1. Haber RN, Hershenson M (1973) The psychology of visual perception. Holt, Rinehart & Winston, New York

    Google Scholar 

  2. Mikec V (2005) Which parameters have an influence on customer’s perception? What measurements on the car body? In: SURCAR conference

  3. Creusen ME, Schoormans JP (2005) The different roles of product appearance in consumerchoice. J Prod Innov Manag 22:63–81

    Article  Google Scholar 

  4. Andrews D, Nieuwenhuis P, Ewing PD (2006) Black and beyond: colour and the mass-produced motor car. Opt Laser Technol 38:377–391

    Article  Google Scholar 

  5. Dawar N, Parker P (1994) Marketing universals: consumers’ use of brand name, price, physical appearance, and retailer reputation as signals of product quality. J Mark 58:81–95

    Article  Google Scholar 

  6. Nichols ME (2012) The modeling and rendering of complex automotive paint. In: American coatings association transportation conference

  7. Schanda J (2007) Colorimetry: understanding the CIE system. Wiley, Hoboken

    Book  Google Scholar 

  8. McLaren K (1976) XIII: the development of the CIE 1976 (L* a* b*) uniform colour space and colour-difference formula. J Soc Dyers Colour 92:338–341

    Article  Google Scholar 

  9. Robertson AR (1990) Historical development of CIE recommended color difference equations. Color Res Appl 15:167–170

    Article  Google Scholar 

  10. Wyszecki G, Stiles WS (1982) Color science. Wiley, New York

    Google Scholar 

  11. Olson GB (1997) Computational design of hierarchically structured materials. Science 277:1237–1242

    Article  Google Scholar 

  12. Nørskov JK, Bligaard T, Rossmeisl J, Christensen CH (2009) Towards the computational design of solid catalysts. Nat Chem 1:37–46

    Article  Google Scholar 

  13. Curtarolo S, Hart GL, Nardelli MB, Mingo N, Sanvito S, Levy O (2013) The high-throughput highway to computational materials design. Nat Mater 12:191–201

    Article  Google Scholar 

  14. Nicodemus FE (1965) Directional reflectance and emissivity of an opaque surface. Appl Opt 4:767–773

    Article  Google Scholar 

  15. Ashikhmin M, Premoze S (2007) Distribution-based brdfs. Unpublished Technical Report, University of Utah 2

  16. Medina JM, Díaz JA (2013) Characterization of reflectance variability in the industrial paint application of automotive metallic coatings by using principal component analysis. Opt Eng 52:051202

    Article  Google Scholar 

  17. Seo MK, Kim KY, Kim DB, Lee KH (2011) Efficient representation of bidirectional reflectance distribution functions for metallic paints considering manufacturing parameters. Opt Eng 50:013603

    Article  Google Scholar 

  18. Ershov S, Kolchin K, Myszkowski K (2001) Rendering pearlescent appearance based on paint-composition modelling. Eurographics 20:227–238

    Google Scholar 

  19. Germer TA, Nadal ME (2001) Modeling the appearance of special effect pigment coatings. Int Symp Opt Sci Technol 1:77–86

    Google Scholar 

  20. Cook RL, Torrance KE (1982) A reflectance model for computer graphics. ACM Trans Graph (TOG) 1:7–24

    Article  Google Scholar 

  21. Weidlich A, Wilkie A (2007) Arbitrarily layered micro-facet surfaces. In: Proceedings of the 5th international conference on Computer graphics and interactive techniques in Australia and Southeast Asia, vol 1. ACM, pp 171–178

  22. Rump M, Müller G, Sarlette R, Koch D, Klein R (2008) Photo-realistic rendering of metallic car paint from image based measurements. Comput Graph Forum 27:527–536

    Article  Google Scholar 

  23. Germer TA, Marx E (2004) Ray model of light scattering by flake pigments or rough surfaces with smooth transparent coatings. Appl Opt 43:1266–1274

    Article  Google Scholar 

  24. Sung L, Nadal ME, McKnight ME, Marx E, Laurenti B (2002) Optical reflectance of metallic coatings: effect of aluminum flake orientation. J Coat Technol 74:55–63

    Article  Google Scholar 

  25. Kettler W, Richter G (1997) Investigation on topology of platelet-like effect-pigments in automotive surface-coatings. Prog Org Coat 31:297–306

    Article  Google Scholar 

  26. Klein GA, Meyrath T (2010) Industrial color physics. Springer, New York

    Book  Google Scholar 

  27. McCamy C (1996) Observation and measurement of the appearance of metallic materials. Part I. Macro appearance. Color Res Appl 21:292–304

    Article  Google Scholar 

  28. Maile FJ, Pfaff G, Reynders P (2005) Effect pigments: past, present and future. Prog Org Coat 54:150–163

    Article  Google Scholar 

  29. Rodrigues A (2004) Color technology and paint. In: Color and paints interim meeting of the international color association proceedings, vol 1. pp 103–108

  30. Pfaff G (2001) Special effect pigments. In: Smith HM (ed) High performance pigments. Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim

    Google Scholar 

  31. Lambourne R, Strivens T (1999) Paint and surface coatings: theory and practice. Elsevier, West Sussex

    Book  Google Scholar 

  32. Levinson R, Berdahl P, Akbari H (2005) Solar spectral optical properties of pigments: Part I: model for deriving scattering and absorption coefficients from transmittance and reflectance measurements. Sol Energy Mater Sol Cells 89:319–349

    Article  Google Scholar 

  33. Gunde MK, Orel ZC (2000) Absorption and scattering of light by pigment particles in solar-absorbing paints. Appl Opt 39:622–628

    Article  Google Scholar 

  34. Tachi K, Okuda C, Suzuki S (1990) Mechanism of aluminum flake orientation in metallic topcoats. J Coat Technol 62:43–50

    Google Scholar 

  35. Thouless M, Dalgleish B, Evans A (1988) Determining the shape of cylindrical second phases by two-dimensional sectioning. Mater Sci Eng A 102:57–68

    Article  Google Scholar 

  36. Bandyopadhyay J, Malwela T, Ray SS (2012) Study of change in dispersion and orientation of clay platelets in a polymer nanocomposite during tensile test by variostage small-angle X-ray scattering. Polymer 53:1747–1759

    Article  Google Scholar 

  37. Yang C, Smyrl W, Cussler E (2004) Flake alignment in composite coatings. J Membr Sci 231:1–12

    Article  Google Scholar 

  38. Pelicon P, Klanjšek-Gunde M, Kunaver M, Simcic J, Budnar M (2002) Analysis of metallic pigments by ion microbeam. Nucl Instrum Methods Phys Res Sect B 190:370–374

    Article  Google Scholar 

  39. Gunde MK, Kunaver M, Mozetic M, Pelicon P, Simcic J, Budnar M, Bele M (2002) Microstructure analysis of metal-effect coatings. Surf Coat Int Part B 85:115–121

    Article  Google Scholar 

  40. Kirchner E, Houweling J (2009) Measuring flake orientation for metallic coatings. Prog Org Coat 64:287–293

    Article  Google Scholar 

  41. Pauli H (1976) Proposed extension of the CIE recommendation on “Uniform color spaces, color difference equations, and metric color terms”. JOSA 66:866–867

    Article  Google Scholar 

  42. Wright WD (1929) A re-determination of the trichromatic coefficients of the spectral colours. Trans Opt Soc 30:141–164

    Article  Google Scholar 

  43. Guild J (1932) The colorimetric properties of the spectrum. Philos Trans R Soc Lond Ser A Contain Pap Math Phys Charact 1:149–187

    Article  Google Scholar 

  44. Kasarova SN, Sultanova NG, Ivanov CD, Nikolov ID (2007) Analysis of the dispersion of optical plastic materials. Opt Mater 29:1481–1490

    Article  Google Scholar 

  45. Di Domenico J, Henshaw P (2012) The effects of basecoat bell application parameters on elements of appearance for an automotive coatings process. J Coat Technol Res 9:675–686

    Article  Google Scholar 

  46. Ellwood KR, Tardiff JL, Alaie SM (2014) A simplified analysis method for correlating rotary atomizer performance on droplet size and coating appearance. J Coat Technol Res 11:303–309

    Article  Google Scholar 

  47. Beckmann P, Spizzichino A (1987) The scattering of electromagnetic waves from rough surfaces. Artech House Inc, Norwood

    Google Scholar 

  48. Bartl J, Baranek M (2004) Emissivity of aluminum and its importance for radiometric measurement. Meas Phys Quant 43:31–36

    Google Scholar 

  49. De Podesta M (2002) Understanding the properties of matter. CRC Press, Boca Raton

    Google Scholar 

  50. Waisman E (1973) The radial distribution function for a fluid of hard spheres at high densities: mean spherical integral equation approach. Mol Phys 25:45–48

    Article  Google Scholar 

  51. Yuste SB, Santos A (1991) Radial distribution function for hard spheres. Phys Rev A 43:5418–5423

    Article  Google Scholar 

  52. Kincaid J, Weis J (1977) Radial distribution function of a hard-sphere solid. Mol Phys 34:931–938

    Article  Google Scholar 

  53. Younse JM (1993) Mirrors on a chip. Spectr IEEE 30:27–31

    Article  Google Scholar 

  54. Streitberger HJ, Kreis W, Decher G, Schlenoff JB, (2005) Automotive paints and coatings. VCH Verlag GmbH & Co, KGaA, Weinheim

    Google Scholar 

Download references

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Seubert, C.M., Nichols, M.E., Frey, J. et al. The characterization and effects of microstructure on the appearance of platelet–polymer composite coatings. J Mater Sci 51, 2259–2273 (2016). https://doi.org/10.1007/s10853-015-9528-5

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  • DOI: https://doi.org/10.1007/s10853-015-9528-5

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