Preprint Article Version 1 This version is not peer-reviewed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 delivery pressure, gas transport pressure, and displacement speed on the gloss, haze, arithmetic mean surface roughness (Ra) and total transmittance light (TTL) were analyzed. The experimental results indicate that the factors of sol-gel delivery pressure, air transport pressure, and displacement speed exhibits significant effect on the haze, gloss, and Ra. In contrast, the variation of TTL 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. Response Surface Methodology (RSM) was employed to analyze the main and interactions effect of the three factors through a quadratic polynomial equation by. The analysis of variance (ANOVA) and R2 analysis confirm the adequacy of the semi-empirical equation. The RSM predict the lowest gloss and highest haze are 9.2 GU and 59.3%, corresponding to the (sol-gel delivery pressure, air-transport pressure, displacement speed) of (250, 560, 140) and (260, 600, 20), respectively. Comparing the predicted optimal data with the real experimental results confirms the applicability of the mathematical model. The results of this study provide a crucial basis for subsequent production of anti-glare glass in response to market demand.

Subject Areas

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

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