The aim of the research project is to identify the influences of chemical-physical properties of individual dirt components on the cleaning behavior of complex soiling. In the previous project Dirt structure-based cleaning optimization IGF 19640 BR the strengths of different botanical origins and modifications were already chemically and physically analyzed. Using multivariate statistics, it was checked which of their properties are relevant in relation to the cleaning behavior in three industrial wet cleaning processes (target jet, falling film, pipe cleaning).
In the current IGF project, the methods used are specifically applied to complex contaminations made up of various carbohydrates and a whey protein. The cleaning behavior of the selected contaminants is recorded in a flat channel flow with a varied cleaning liquid and the cleaning success is determined in the different cleaning phases.
The estimation of the cleaning behavior, based on the individual dirt composition, enables a reduction in resource consumption as well as cleaning costs and time. For this purpose, a decision tree is made available to the industrial user group, which allows dirt-specific adaptation of cleaning processes and transfers the complex interrelationships into an application-oriented and expandable format.
The IGF project presented here by the Research Association of the Industrial Association for Food Technology and Packaging (IVLV e.V.) is funded by the Federal Ministry for Economic Affairs and Energy via the AiF as part of the program for the promotion of industrial community research (IGF) based on a decision of the German Bundestag.