Modeling of laser speckles of heterogeneous dynamics in drying and aging paint dispersions using a view-based temporal template method

Abstract

Assessments of the microscopic mechanism underlying the phenomenon of drying and aging of various paint dispersions are important for the requirements of sustainable and high-quality paints. The present work demonstrates the application of the motion history image (MHI) algorithm to visualize the microscopic mechanisms during drying and aging of different paints dispersions. We assessed the micromechanical dynamics of the drying process on laser speckle imaging data after generating the MHI maps. The processes such as cracking and delamination of paint on a glass substrate and the flow of an imbibition front on a porous substrate were analyzed using the MHI analysis, which identifies the locations where the phenomenon evolves with time.

Study of hygroscopic properties of the mixture of porous and non-porous materials by using optical techniques

“…These dynamic speckle images have been analyzed using qualitative and quantitative methods Rabal and Braga (2008); Braga et al (2017). Qualitative methods allow segmentation of the image according to its speckle activity, such as generalized differences Arizaga et al (2002), LASCA Arizaga et al (2006), Fujii Fujii et al (1987); Ansari and Nirala (2015); Minz and Nirala (2014); Sauude et al ( 2012) and temporal differences Ansari and Mujeeb (2018) methods, among others Rabal and Braga (2008). Quantitative measurements of the speckle activity are based on the autocorrelation Chapman et al (2016), the moment of inertia of the co-occurrence matrix (COM) Arizaga et al (1999) and the statistical cumulants Pajuelo et al (2003), the temporal evolution of the speckle pattern texture Arizaga et al (1999); DaryMojica-Sepulveda et al (2018), empirical decomposition Federico andKaufmann (2006), spatio-temporal correlation Zdunek et al (2007).…”