Preprint Article Version 2 This version is not peer-reviewed

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

Version 1 : Received: 18 February 2019 / Approved: 20 February 2019 / Online: 20 February 2019 (12:13:46 CET)
Version 2 : Received: 26 February 2019 / Approved: 27 February 2019 / Online: 27 February 2019 (08:56:00 CET)

A peer-reviewed article of this Preprint also exists.

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. 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.

Journal reference: Materials 2019, 12, 751
DOI: 10.3390/ma12050751

Abstract

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 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, therefore, we aim to minimize gloss and maximize haze to achieve high anti-glare. Central composite design and response rurface 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.

Subject Areas

Anti-Glare; spray-coating; gloss; haze; response surface methodology

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