Next Article in Journal
Plastic Deformation Behavior of Bi-Crystal Magnesium Nanopillars with a {1012} Twin Boundary under Compression: Molecular Dynamics Simulations
Previous Article in Journal
The Influence of the Magnetic Field on DC and the Impulse Breakdown of Noble Gases
Open AccessArticle

Optimization of Process Parameters for Anti-Glare Spray Coating by Pressure-Feed Type Automatic Air Spray Gun Using Response Surface Methodology

1
Graduate School of Mechanical and Energy Engineering, Kun Shan University, 71070 Tainan, Taiwan
2
Department of Materials Engineering, Kun Shan University, 71070 Tainan, Taiwan
3
Department of Mechanical and Energy Engineering, Kun Shan University, 71070 Tainan, Taiwan
*
Authors to whom correspondence should be addressed.
Materials 2019, 12(5), 751; https://doi.org/10.3390/ma12050751
Received: 31 January 2019 / Revised: 26 February 2019 / Accepted: 27 February 2019 / Published: 5 March 2019
(This article belongs to the Special Issue Selected Papers from IEEE ICICE 2018)
The process of preparing anti-glare thin films by spray-coating silica sol-gel to soda-lime glass was exclusively and statistically studied in this paper. The effects of sol-gel deliver pressure, air transport pressure, and spray gun displacement speed on the gloss, haze, arithmetic mean surface roughness, and total transmittance light were analyzed. The experimental results indicate that the factors of sol-gel deliver pressure, air transport pressure, and displacement speed exhibit a significant effect on the haze, gloss, and Ra. In contrast, the variation of total transmittance light with these three factors are insignificant. Because the anti-glare property is predominantly determined by low gloss and high haze, we therefore aim to minimize gloss and maximize haze to achieve high anti-glare. Central composite design and response surface methodology are employed to analyze the main and interaction effects of the three factors through quadratic polynomial equations, which are confirmed by the analysis of variance and R2. The response surface methodology predict the lowest gloss and highest haze are 9.2 GU and 57.0%, corresponding to the sol-gel deliver pressure, air-transport pressure, and displacement speed of 250 kPa, 560 kPa, and 140 mm/s, and 340 kPa, 620 kPa, and 20 mm/s, respectively. Comparing the predicted optimal data with the real experimental results validates the applicability of the mathematical model. This study provides an important basis for the subsequent production of anti-glare glass with different specifications to satisfy the market demand. View Full-Text
Keywords: anti-glare; spray-coating; gloss; haze; response surface methodology anti-glare; spray-coating; gloss; haze; response surface methodology
Show Figures

Figure 1

MDPI and ACS Style

Huang, Y.-H.; Chen, L.-C.; Chou, H.-M. Optimization of Process Parameters for Anti-Glare Spray Coating by Pressure-Feed Type Automatic Air Spray Gun Using Response Surface Methodology. Materials 2019, 12, 751.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop