The Impact of Coating Ingredients on the Aging Resistance of Topcoat Paints by Model Trees

Tzu-Tsung Wong; Shih-Hsuan Hung

doi:10.46604/aiti.2021.5307

Authors

Tzu-Tsung Wong Institute of Information Management, National Cheng Kung University, Tainan, Taiwan
Shih-Hsuan Hung Institute of Information Management, National Cheng Kung University, Tainan, Taiwan

DOI:

https://doi.org/10.46604/aiti.2021.5307

Keywords:

accelerated aging test, linear regression, model tree, numeric prediction, topcoat paint

Abstract

Topcoat paint is mainly composed of resin and pigment and hence its quality highly depends on the type and proportion of these two ingredients. This study aims at testing the formula of the topcoat paint for finding one that can achieve better quality for anti-aging. Various formulas of paint are applied on boards that will be put into ultraviolet accelerated test machines to simulate weathering tests. The gloss and color, before and after the tests, are collected and numerical prediction method M5P is used to grow model trees for discovering the key factors affecting aging. Based on the structure and the linear regression models in the trees, a better topcoat paint should be composed of a high proportion of resin and generally a low proportion of pigment. Good types of resin and pigment are also identified for keeping color and gloss.

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