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Effect of orange peel attribute of automotive finishes on their blackness perception

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Abstract

In this paper, the perceived blackness of 10 specific automotive finishes with different levels of orange peel attribute is investigated under the diffuse illumination condition. Since the purchased ACT black panels had approximately the same colorimetric attributes, i.e., lightness, hue, and chroma, the effect of colorimetric properties on perceived blackness was minimized. Thirty nonexpert observers including 14 males and 16 females were selected to compare the blackness perception of ACT black panels. The observers’ normal color vision was already evaluated by applying the Ishihara test method. The black panels were ranked from the minimum perceived blackness to the maximum by employing the pair comparison method and performing 1800 visual assessments. Results showed that, in general, the blackness perception of panels increased with a decrease in their orange peel attributes, but the orange peel attribute is not the only factor affecting the perceived blackness of black panels. Besides, while the black panels were colorimetrically too close to each other, the panel with the lowest lightness and chroma value was assessed as the blackest sample among the ACT panels with the lowest orange peel attribute.

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References

  1. Mirjalili, F, Moradian, S, Ameri, F, “A New Approach to Investigate Relationships Between Certain Instrumentally Measured Appearance Parameters and Their Visually Perceived Equivalents in the Automotive Industry.” J. Coat. Technol. Res., 11 341–350 (2014)

    Article  Google Scholar 

  2. Streitberger, HJ, Dossel, KF, Automotive Paints and Coatings. Wiley-VCH, Weinheim (2008)

    Book  Google Scholar 

  3. Ameri, F, Khalili, N, Moradian, S, Zaareid, D, Mirjalili, F, “Correlation Between the BYK’s Balance Index and the Appearance of Visually Assessed Achromatic Automotive Finishes.” Prog. Org. Coat., 77 425–430 (2014)

    Article  Google Scholar 

  4. Hutchings, JB, Food Colour and Appearance. Blackie Academic & Professional, London (1994)

    Book  Google Scholar 

  5. Dekker, N, Kirchner, E, Super, R, van den Kieboom, GJ, Gottenbos, R, “Total Appearance Differences for Metallic and Pearlescent Materials: Contributions from Color and Texture.” Color Res Appl, 36 4–14 (2011)

    Article  Google Scholar 

  6. Hutchings, J, “The Continuity of Colour, Design, Art and Science. I. The Philosophy of the Total Appearance Concept and Image Measurement.” Color Res Appl, 20 296–306 (1995)

    Article  Google Scholar 

  7. Hutchings, J, “The Continuity of Colour, Design, Art and Science. II. Application of the Total Appearance Concept to Image Creation.” Color Res Appl, 20 307–312 (1995)

    Article  Google Scholar 

  8. Nadal, ME, Thompson, EA, “NIST Reference Goniophotometer for Specular Gloss Measurements.” J Coat Technol, 73 73–80 (2001)

    Article  Google Scholar 

  9. CIE 175:2006 Report, “A Framework for the Measurement of Visual Appearance.” Central Bureau of the International Commission on Illumination, CIE, Paris, 2006

  10. McDonald, R, Color Physics for Industry, 2nd ed. Dyers Company Publication Trust, Bradford (1997)

    Google Scholar 

  11. Hunter, RS, Harold, RW, The Measurement of Appearance. Wiley, New York (1987)

    Google Scholar 

  12. Kirchner, E, van den Kieboom, GJ, Njo, L, Super, R, Gottenbos, R, “Observation of Visual Texture of Metallic and Pearlescent Materials.” Color Res Appl, 32 256–266 (2007)

    Article  Google Scholar 

  13. http://www.ppg.com/en/newsroom/news/Pages/20131024A.aspx, 2015

  14. Jafari, R, Amirshahi, SH, Ravandi, SAH, “Spectral Analysis of Blacks.” Color Res. Appl., 37 176–185 (2012)

    Article  Google Scholar 

  15. Jafari, R, Amirshahi, SH, “Spectral Reconstruction of Blacks and Whites by Using the Statistical Colorants.” Prog. Color Colorants Coat., 8 135–144 (2015)

    Google Scholar 

  16. Jafari, R, Amirshahi, SH, Colorimetric reconstruction of blacks and whites. Presented at the 14th AUTEX World Textile Conference, Bursa, Turkey, (2014)

  17. Jafari, R, Amirshahi, SH, Ravandi, SAH, Determination of spectral dimensions of Munsell neutral samples, Presented at the AIC 2011 midterm meeting, Zurich, Switzerland, pp 447–450 (2011)

  18. Jafari, R, Amirshahi, SH, Ravandi, SAH, “Colorimetric Analysis of Black Coated Fabrics.” J. Coat. Technol. Res., 13 871–882 (2016)

    Article  Google Scholar 

  19. Jafari, R, Amirshahi, SH, Ravandi, SAH, “Effect of Lightness on Blackness Preference of Black Fabrics.” Prog. Color Colorants Coat., 8 11–24 (2015)

    Google Scholar 

  20. Clonts Haslup, JR, Shamey, R, Hinks, D, “The Effect of Hue on the Perception of Blackness Using Munsell Samples.” Color Res Appl, 38 423–428 (2013)

    Google Scholar 

  21. Tao, L. Impact of blackness preference and perception on product design, Ph.D. thesis, University of Leeds, England (2013)

  22. Jafari, R, Amirshahi, SH, Ravandi, SAH, Blacks Colorimetric Boundaries Based on the Perceived Blackness. Presented at the 12th Congress of the International Color Association, AIC Color 2013, Newcastle, UK, pp 503–506 (2013)

  23. Clonts, JR, Shamey, R, Hinks, D, “Effect of Colorimetric Attributes on Perceived Blackness of Materials. Presented at the 4th European Conference on Colour in Graphics, Imaging, and Vision, Finland, 83–87 (2010)

  24. Westland, S, Cheung, TLV, Lozman, OR, “A Metric for Predicting Perceptual Blackness.” Presented at the 14th Color Imaging Conference Final Program and Proceedings, Society for Imaging Science and Technology, Arizona, pp 14–17 (2006)

  25. Jafari, R, Ameri, F, Khalili, N, “Effect of the Type of Illumination on Perceived Blackness of Automotive Finishes.” J. Coat. Technol. Res., 13 133–141 (2016)

    Article  Google Scholar 

  26. ASTM E284-09a standard, “Standard Terminology of Appearance.” ASTM International, West Conshohocken

  27. “Wave scan DOI – the new generation for understanding the appearance of coatings”. 9th BYK-Gardner European User Meeting, Germany 2010

  28. Lex, K, “Advanced QC Tool for Process Control-Structure Space. Proc. 3rd Wave Scan User Meeting, BYK-Gardner, USA, 2004

  29. Osterhold, M, Armbruster, K, “Characterizing the Appearance of Medium Glossy Surfaces.” Prog. Org. Coat., 65 440–443 (2009)

    Article  Google Scholar 

  30. www.acttestpanels.com

  31. Thurstone, LL, “A Law of Comparative Judgment.” Psychol. Rev., 34 273–286 (1927)

    Article  Google Scholar 

  32. Guilford, JP, Psychometric Methods. McGraw-Hill, New York (1954)

    Google Scholar 

  33. Torgerson, WS, Theory and Methods of Scaling. Wiley, New York (1958)

    Google Scholar 

  34. Fairchild, MD, Color Appearance Models. Wiley, Chichester (2005)

    Google Scholar 

  35. ASTM D5767-95, “Standard Test Methods for Instrumental Measurement of Distinctness-of-Image Gloss of Coating Surfaces.” In: Annual Book of ASTM Standards, Vol. 06.01. ASTM International, West Conshohocken, PA, 2012

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Jafari, R., Ameri, F. Effect of orange peel attribute of automotive finishes on their blackness perception. J Coat Technol Res 15, 1003–1011 (2018). https://doi.org/10.1007/s11998-018-0046-7

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