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B05 Pultrusion of semi-finished products with graded properties using recyclates from plastic waste streams

Project Area

B05

Project Leader

Kai Fischer

Cooperation Projects

B05 Pultrusion of semi-finished products with graded properties using recyclates from plastic waste streams
Summary
The DediGrad subproject B05 investigates the production of graded fibre-reinforced semi-finished products while incorporating recyclates from post-industrial and post-consumer plastic waste streams. The objective is to provide recyclates with defined properties, transfer them into suitable semi-finished product concepts, and predict the resulting morphologies together with their thermo-rheological and mechanical properties by model-based means. To achieve this, sensor-based material characterisation, quality control, waste processing, compounding, and pultrusion are combined along an interconnected process chain. In this way, the subproject links resource efficiency, process understanding, and functional integration in sustainable graded fibre-reinforced semi-finished products.
001 Objectives

Sustainable Semi-Finished Products

  • Implementation of sensor-based material characterisation and quality control in waste processing
  • Modelling of individual processing steps to predict recyclate properties
  • Provision of defined recyclates for graded fibre-reinforced semi-finished products within the CRC/TRR
  • Development of semi-finished products and prediction of their morphologies by process models
  • Enabling in-line analysis of the fibre impregnation process
002 Scientific Questions

Recyclate-Based Material Systems

  • Which parameters of the production processes and input materials influence the properties of graded semi-finished products in order to achieve the desired characteristics?
  • How can mechanical waste processing be monitored on a sensor basis to obtain optimal process parameters and recyclate quality?
  • How can relevant waste-processing operations be modelled in order to predict recyclate characteristics from sensor-based process monitoring?
  • Which models are suitable for describing the process chain so that automated strategies for tool design, process settings, and process control can be implemented?

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