Advanced SearchSearch Tips
Visual Perception Characteristics of Surface Unevenness - Focused on Orange Peel Effect -
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
Visual Perception Characteristics of Surface Unevenness - Focused on Orange Peel Effect -
Jung, Kwang Tae; Lee, Jaein;
  PDF(new window)
Objective: The purpose of this study is to identify visual perception of and satisfaction with the orange peel effect of surface. The orange peel effect is a type of finish on painted or coated surface. Background: Gloss paint sprayed on a smooth surface (such as car body, smart phone, and electric home appliances, etc.) should also dry into a smooth surface. Then, a surface resembling the texture of an orange peel can be caused by some factors. The orange peel effect can degrade user`s satisfaction with a product. Method: Visual perception and emotional satisfaction were subjectively evaluated using Likert scale. The significance of orange peel effect on visual perception and satisfaction were then analyzed by the analysis of variance. The correlation between visual perception and satisfaction was also analyzed. Results: Surface roughness significantly influenced visual perception and emotional satisfaction. The level of visual perception increased and emotional satisfaction decreased with the increase of orange peel effect. Emotional satisfaction decreased with the increase of visual perception level. Conclusion: It was identified that orange peel phenomenon on surface was a very important factor for emotional satisfaction. The orange peel effect on the surface of a product should be minimized to improve the emotional satisfaction of the product. Application: The result of this study can be applied to the texture design of the body of a car, smart phones, and electric home appliances, etc.
Orange peel effect;Surface unevenness;Visual perception;Emotional satisfaction;
 Cited by
Anderson, B., Visual perception of materials and surfaces, Current Biology, 21(24), 2006.

Burrows, T., Enhanced surface quality measurement, Polymers Paint Color Journal, 201, 32-33, 2012.

Cao, S., Zhang, J., Wu, J. and Chen J., Analysis of orange peel defect in St14 steel sheet by electron backscattered diffraction, J. Master. Sci. Technol., 21(1), 17-20, 2005.

Kim, H., A study on categorizing surface design for effective communication in product development process, Ph.D Thesis, Hongik Univ., 2007.

Kang, H., Butler, C., Yang, Q., Sacerdotti, F. and Benati, F., Appearance Measurement System Using Fuzzy Logic, Proceedings of the 17th IEEE instrumentation and measurement technology conference, 2000.

Kim, S., Kyung, K., Sohn, J. and Kwon, D. An Evaluation of Human Sensibility on Perceived Texture for Real Haptic Representation, Journal of the Korea Information Science Society, 34(10), 900-909, 2007.

Konieczny, J. and Meyer, G., Computer rendering and visual detection of orange peel, J. Coat. Technol. Res., 29, 2011.

KS B 0161, Surface roughness-Definitions and designation, 1999.

Lee, D., Yang, S. and Jung, K., User's Characteristics on the Tactile Perception of Surface Texture, Journal of Korean Society of Design Science, 13(4), 77-83, 2000.

Lee, G. and Seo, J., A Study on the Visual Tactility through Expression of the Finishing Materials in Commercial Spaces, Journal of Architectural Institute of Korea, 27(9), 39-46, 2011.

Lee, P., Piehler, H., Adams, B., Jarvis, G., Hampel, H. and Rollett, A., Influence of surface texture on orange peel in aluminum, Journal of Materials Processing Technology, 80, 315-319, 1998.