The efficient cleaning of machinery and equipment in the food processing industry is of great economic importance. This applies to the claims made by consumers of durability and quality of the products, as well as the requirements of the plant operators for an automated, effective and resource efficient cleaning at the same time.
The aim of this research project is to simulate the spatio-temporal removal of soil. Therefore a physical process model should be developed and parameterized for a certain soil. Subsequently the cleaning progress by an impinging jet should be calculated based on numerical methods. Special attention is paid to time-varying soil characteristics (e.g. swelling) during the cleaning process.
Other projects objectives are the development of a (semi-)empirical model for the cleaning process by an impinging jet, as well as a methodology for characterization of swelling and dissolving soil to parameterize the process model. As an outlook therewith it could be possible to simulate further soils. It further opens the possibility to examine the cleanability of mechanical components by using a simulation.
Costs are therefore reduced both in the development and testing of components and machines as well as in subsequent operation with the models and methods freely available after the project. The more efficient cleaning and the associated benefits for product quality, minimized downtime and savings in resources during the cleaning lead to an increase in turnover, especially for small and medium enterprises.