Flexible Structures

Mathematical modeling, simulating, and optimizing fiber dynamics is the main research focus of the group »Flexible Structures«. The main applications are industrial production processes of nonwovens.

Within the framework of long-standing research two software tools have been developed:

  • the MATLAB/FLUENT toolbox VisFiD (Viscous Fiber Dynamics) that simulates a broad spectrum of spinning processes
  • FIDYST (Fiber Dynamics Simulation Tool) for the simulation of fiber dynamics in turbulent flows. FIDYST generates virtual nonwoven structures and consequently allows its simulation-based optimization.

Both tools are applied in projects of industrial contract research. The further development picks continously up latest research results of ongoing PhD projects. One current reserach topic is the complete coupling of fiber and fluid dynamics by numerical homogenization strategies for the fiber dynamics.

Beyond these aspects the group deals with several steps of pre- and postprocessing in the production of technical textiles. We offer our services both for producers and mechanical engineering companies.

Example Projects


Airlay Processes

In close cooperation with machinery manufacturer Autefa Solutions, we simulated the K12 process for an optimal design of the Airlay process.


Spunbond Processes

Spunbond processes are industrial processes for the production of nonwovens. To answer questions about the process, we simulate the complete Spunbond plant.


Spinning Processes

In recent years, a series of research activities at Fraunhofer ITWM have provided the foundation for a comprehensive simulation of such spinning processes.


Optimized Needle Boards

Needle punching is a well-established method to bond nonwovens mechanically. We developed a software tool to simulate the needle punch pattern.


Virtual Bobbin Dyeing and Optimization

We are developing an algorithm that simulates a virtual bobbin on the basis of the setting parameters and calculate its density. This optimizes the settings of the winding machines and improves the coloring.


Machine Learning in Textile Industry

We develop and use a hybrid approach to optimize production processes in the textile industry with ML-methods.