Journal
JOURNAL OF THE BRAZILIAN CHEMICAL SOCIETY
Volume 21, Issue 6, Pages 1001-1006Publisher
SOC BRASILEIRA QUIMICA
DOI: 10.1590/S0103-50532010000600009
Keywords
copolymers; scanning electron micrographs; N-PLS; unfold-PCR
Categories
Funding
- Isfahan University of Technology Research Councils
Ask authors/readers for more resources
In this work, scanning electron micrographs of copolymer beads based on methyl methacrylate (MMA), ethylene glycol dimethacrylate (EGDM) and vinyl triethoxysilane (VTES) were used to construct multivariate image regression models. Scanning electron microscopy (SEM) and swelling measurements indicated that increasing the silicone concentration (VTES) of the copolymers enhances the amount of pores and porosity percent. Scanning electron micrographs of the synthesized copolymers with different VTES concentrations were used to construct two soft models, which were able to relate the VTES concentration and the porosity percent of the copolymers with their SEM images. The constructed models were the three-way partial least squares analysis (N-PLS) and unfolded principal component regression (unfold-PCR). The predictive ability of the constructed models were evaluated by a test set. The results showed the models were able to effectively predict the VTES concentration and the porosity percent of the copolymers using their corresponding SEM images.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available