Science-based formulation of coatings via webapps

 
The predictive formulation science, Hansen Similarity Parameters (HSP) and Hydrophilic Lipophilic Difference (HLD), are very powerful tools to match, replace and compatibilize ingredients, resulting in maximum overall performance of end-products, while minimizing development time. These models allow to give a predictive parameter to a wide variety of ingredients, applicable to develop coatings, inks, personal and home care, etc. Each ingredient parameter can be used repeatedly and it drastically reduce experimental work, time and costs, which makes it a more sustainable R&D workflow. VLCI established the world's largest shared HSP and HLD dataset of commercial ingredients, which is linked to our science-based formulation webapps to visualize and perform instant searches based on calculations. The collaborative framework of the platform allows to add and share ingredient parameters, when needed, while securing each users own private datasets, formulations and IP. Ingredients can now be selected in minutes instead of month, after which you can validate the predictions in the lab. Both HSP and HLD theories and platforms will be presented, including examples of assisted coating developments and how to optimize performance such as film formation, gloss/colouristics, stability, barriere, etc.