LAUSR.org creates dashboard-style pages of related content for over 1.5 million academic articles. Sign Up to like articles & get recommendations!

Network characterization of phenolic-based coatings

Photo from wikipedia

Abstract Phenolic-based coating systems incorporating typical binding resins such as epoxies or polyesters were prepared along protocols mimicking relevant application conditions and are investigated using methods which are fairly standard… Click to show full abstract

Abstract Phenolic-based coating systems incorporating typical binding resins such as epoxies or polyesters were prepared along protocols mimicking relevant application conditions and are investigated using methods which are fairly standard in an industrial environment. Following a pragmatic approach, gravimetric analysis along with spectral analysis by FTIR spectroscopy of the insoluble gel fraction and liquid 1 H NMR spectroscopy for the soluble fraction were used in a quantitative way to investigate proven binder/crosslinker systems over a range of compositions. Furthermore, a close analysis of the soluble fraction data has been conducted following the statistical mean-field model of Miller-Macosko with proper adjustments to account for the investigated systems where the phenolic resin can crosslink with itself and with the binder, whereas the binder mainly links to the crosslinker in conjunction with chain extending end-end couplings. For the linear precursors considered here, end and side functions were treated as chemically distinct in the model.

Keywords: based coatings; phenolic based; characterization phenolic; spectroscopy; network characterization

Journal Title: Reactive and Functional Polymers
Year Published: 2018

Link to full text (if available)


Share on Social Media:                               Sign Up to like & get
recommendations!

Related content

More Information              News              Social Media              Video              Recommended



                Click one of the above tabs to view related content.