Launch of TSAR 2 project


Following the great success of the Tabletting Science Anti-stick Research (TSAR) Project, we have chosen to continue with this research and add to the predictive model Dwell dependency. I Holland’s TSAR predictive model has been used constantly since its development and currently now has a database of approx. 4000 predictions. The ability to predict the correct coating solution has been invaluable to many of our customers over recent years and now with the plan to add a dwell dependency prediction to this free service, it will only improve our ability to solve sticking issues without costly compression trials.

Our Research, Development & Quality Systems Manager (Rob Blanchard) is responsible for our academic partnerships. Rob said: “This new two year project in conjunction with the University of Leicester is critical to advancing the science behind sticking. The patented XDF head form allows up to 50% more dwell time, without the need to change press setup in anyway. This new predictive model will allow our team of Customer Support Group Engineers to be able to predict when increasing the dwell time will solve sticking, friability or other production issues.