Chemical Degradation and Color Changes of Paint Protective Coatings Used in Solar Glass Mirrors

Guerguer, Mohamed; Naamane, Sanae; Edfouf, Zineb; Raccurt, Olivier; Bouaouine, Hassan

doi:10.3390/coatings11040476

Cited by 7 publications

(4 citation statements)

References 27 publications

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“…[33] Additionally, numerous other authors have examined different plastic materials in terms of fragmentation and degradation using different processes, analytical methods, conditions/parameters, degradation factors, exposure time and plastic particle size. [37][38][39][40][41][42] Nevertheless, like the majority of researchers mentioned above, we have specifically selected commonly encountered plastic materials for our study. This choice encompasses both conventional plastics and bioplastics, enhancing the significance and practicality of our findings.…”

Section: Resultsmentioning

confidence: 99%

Plastics Degradation Process within a Controlled Aqueous Laboratory Setting

Brožová,

Halfar,

Placová

et al. 2023

4th International Conference on Advances in Environmental Engineering

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Following the growing interest in monitoring the status, behavior and impact of micropollutants in the environment, a significant area of concern revolves around the degradation of plastics, which is closely associated with a range of environmental risks. The long-term goal is to investigate the degradation process of plastics in an aqueous environment within controlled laboratory settings and analyze the status of degraded particles over a specific period. The proposed methodology, which is the subject of this paper, aims to achieve this objective. Over the period of one year, both conventional and biodegradable plastics are subjected to the combined effects of UV radiation and water motion. This paper presents the design of laboratory setting and experimental setup for conducting the degradation process. Based on its implementation, the degradation process is evaluated including weight loss and conducting microscopic and FTIR analysis of microplastic particles (MP). By gaining a better comprehension of these processes, we expect to be able to effectively mitigate the adverse environmental consequences caused by plastics.

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Section: Resultsmentioning

confidence: 99%

Plastics Degradation Process within a Controlled Aqueous Laboratory Setting

Brožová,

Halfar,

Placová

et al. 2023

4th International Conference on Advances in Environmental Engineering

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“…• fourier transform infrared spectroscopy (FTIR) is highly useful for the chemical characterization of samples and the aging processes of paint coatings [9]. Spectroscopy involves the study of matter's response to electromagnetic radiation.…”

Section: Methods For Measuring Car Paint Layersmentioning

confidence: 99%

Testing of the Light Transmittance of Industrial Varnishes

Żyłka,

Potera

2024

Adv. Sci. Technol. Res. J.

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The article presents the study of the light transmittance of a colorless car varnish. The varnish was tested at different temperatures for UV light transmission and the ability to protect car paint pigments from degradation. These tests make it possible to assess the durability and quality of the varnish. A comparison of light transmittance through glass, quartz glass and solar glass was made. It has been noted that the curing temperature of the varnish has an impact on its transmission (up to a few percent). A similar effect has been observed in the case of varnish with a hardener.

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“…Two major absorption peaks were observed around 5250 and 4400 cm −1 . A peak around 5250 cm −1 is typically attributed to the hydroxyl ring, which represents a combination of asymmetric stretching and bending of O-H, and the peak around 4400 cm −1 represents the combination band of the second overtone of the epoxy ring [22,26,27]. Both characteristics are highly correlated to coating degradation.…”

Section: Spectral Characteristicmentioning

confidence: 99%

Discrimination of Steel Coatings with Different Degradation Levels by Near-Infrared (NIR) Spectroscopy and Deep Learning

Chen

Wang

2022

Coatings

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Assessing the current condition of protective organic coatings on steel structures is an important but challenging task, particularly when it comes to complex structures located in harsh environments. Near-infrared (NIR) spectroscopy is a rapid, low-cost, and nondestructive analytical technique with applications ranging from agriculture, food, and remote sensing to pharmaceuticals. In this study, an objective and reliable NIR-based technique is proposed for the accurate distinction between different coating conditions during their degradation process. In addition, a state-of-the-art deep learning method using a one-dimensional convolutional neural network (1-D CNN) is explored to automatically extract features from the spectrum. The characteristics of the spectrum show a downward trend over the entire wavenumber period, and two major absorption peaks were observed around 5250 and 4400 cm−1. The experimental results indicate that the proposed deep network structure can powerfully extract the complex characteristics inside the spectrum, and the classification accuracy of the training and testing data was 99.84% and 95.23%, respectively, which suggests that NIR spectroscopy coupled with a deep learning algorithm could be used for the rapid and accurate inspection of steel coatings.

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Chemical Degradation and Color Changes of Paint Protective Coatings Used in Solar Glass Mirrors

Cited by 7 publications

References 27 publications

Plastics Degradation Process within a Controlled Aqueous Laboratory Setting

Plastics Degradation Process within a Controlled Aqueous Laboratory Setting

Testing of the Light Transmittance of Industrial Varnishes

Discrimination of Steel Coatings with Different Degradation Levels by Near-Infrared (NIR) Spectroscopy and Deep Learning

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