Abstract
In the field of pesticide controlled release technology, a computer based model that can predict the delivery of the Active Ingredient (AI) from fabricated units is important for purposes of product design and marketing. A model for the release of an M from a microcapsule device is presented in this paper, together with a specific case study application to highlight its scope and significance. The paper also addresses the need for predictive models and proposes a computer aided modelling framework for achieving it through the development and introduction of reliable and predictive constitutive models. A group-contribution based model for one of the constitutive variables (AI solubility in polymers) is presented together with examples of application and validation.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 14th European Symposium on Computer Aided Process Engineering |
| Publisher | Elsevier |
| Publication date | 2004 |
| Pages | 301-306 |
| ISBN (Print) | 0-444-51694-8 |
| DOIs | |
| Publication status | Published - 2004 |
| Event | 14th European Symposium on Computer Aided Process Engineering - Lisbon, Portugal Duration: 16 May 2004 → 19 May 2004 Conference number: 14 http://www.deb.uminho.pt/escape14/ |
Conference
| Conference | 14th European Symposium on Computer Aided Process Engineering |
|---|---|
| Number | 14 |
| Country/Territory | Portugal |
| City | Lisbon |
| Period | 16/05/2004 → 19/05/2004 |
| Internet address |
| Series | Computer Aided Chemical Engineering |
|---|---|
| Volume | 18 |
| ISSN | 1570-7946 |
Keywords
- controlled release
- microcapsule
- solubility prediction
- pesticide
- polymer