Model Assisted Design of Granular Products

Executive Summary

driven model for granulation.

for granulation, and the application of inverse methods to create a product performance

incorporates the development, validation and integration of process and product models

A research plan for the remaining three years of the project is presented. This plan

characterisation of feed materials and granular products.

models, however this initial experimentation has emphasised the need for careful

will take place after critical decisions are made on choices of product and process

development for granulation and granule dissolution. Full methodology development

Also presented within this report is preliminary experimental methodology

absence of disintegration.

dispersion model, and the second a model for drug dissolution from granules in the

two potential product models presented here for use in this project. The first is a granule

available to describe these mechanisms. This review has informed the development of

disintegration and dissolution, and also includes a review of the mathematical models

review incorporates the current state of knowledge on the mechanisms of compact

behaviour, culminating in the literature review presented in this report. This literature

survey of the literature on granule, tablet and compact disintegration and dissolution

of Granular Products. Focus has been placed in this first year of the project on a critical

This report provides a summary of the progress of the project Model Assisted Design

address this need.

product models to enable performance driven process design. The aim of this project to

develop improved performance models for granular products, and to link these with

models have received less attention than process models, and there is a clear need to

not describe the performance of the products being produced. Product performance

outputs of these models are typically limited to one or two particle attributes, and do

processes. This is an exciting and welcome development for the field, however the

process design. Process models are increasingly being developed and used for these

and laborious experimentation, due to a lack of knowledge and predictive tools for

Traditionally, the design and scale-up of granulation processes has involved expensive