UniVorsUm

Extensive research work in recent years has made it possible to greatly extend the material limits of papers in forming processes such as deep drawing or hydroforming, so that packaging materials with high forming degrees can be produced in very good quality. However, the problem is that the suitability of a paper for forming is not standardized and cannot be predicted on the basis of conventional material parameters, which makes material selection significantly more difficult for paper converters and packers. The aim of the present research project is to develop a basis for the quality management of paper and board in 3D forming. A testing strategy will be developed that allows the standardized derivation of the suitability of papers for various 3D forming processes. To this end, methods for determining the quality parameters of draw ratio, wrinkle pattern and wall stiffness will first be defined. Subsequently, process-related test scenarios and conditions are systematically investigated for a large number of industrial materials and materials developed at the research centers and correlated with the results in various forming processes in order to be able to derive stringent correlations between quality target variables and the material parameters. For this purpose, higher-order multiple regression models and neural networks are used.

Benefits for SMEs The paper processing industry in Germany consists mainly of SMEs. For them, it is of elementary importance to be able to make a meaningful material selection for the manufacturing process on the basis of standardized data (data sheets). The planned research project opens up the possibility for the first time of making "formability" available as a standardized quality characteristic for papers and thus provides an elementary prerequisite for subsequent standardization.