Project Summary

This project will use a platform technology to computationally simulate then experimentally test predictions on new marine anti-fouling coatings. Using theory developed at Cambridge University the project team have developed new computer models which enable the accurate prediction of material properties.

Project Achievements

Activities Work was divided into three work-packages: 1. Modelling to predict best fillers and surface groups to optimise bio-adhesion, strength and flexibility. 2. Synthesis and testing of physical properties. Outsourced to London South Bank University. • Literature synthesis unexpectedly needed updating to prevent toxic reagent interfering with results 1. Testing of biofoul accumulation in seawater, outsourced to Plymouth Marine Services. Work packages were completed successfully.

Conclusions

• Modelling successfully identified one material that was confirmed to be most effective in antifoul trials. • Other predicted trends could not be verified due to significant spread in biological data. • Changing filler surface groups gave small impact to anti-fouling properties and no significant difference in physical performance. • New (unoptimized) materials performed less well than commercial controls. Project results support Materials Nexus efforts to work with paint developers for next-gen materials.

Next Steps

Potential commercial opportunities identified include antifoul paints for shipping, off-shore energy (wind and tidal) and aquaculture. The technical developments of interest will be reviewed for potential paten filing, in particular the new filler surface group identified. Opportunities to continue to develop the material prediction and development capability will be evaluated. This could involve partnerships with tier 1 paint manufacturers.