Simulation-based digital twin for the manufacturing of thermoplastic composites
André Hürkamp, Ralf Lorenz, Tim Ossowski, Bernd‐Arno Behrens, Klaus Dröder
Abstract
The bond strength between a thermoformed fibre reinforced thermoplastic sheet and an injected polymer is the limiting factor for the structural integrity of overmoulded thermoplastic composites. In this contribution, a simulation based digital twin of the thermoforming process is presented. From numerical parametric studies a reduced order model based on Proper Orthogonal Decomposition (POD) is developed. The combination with machine learning methods enables the real-time computation of arbitrary physical reliable temperature fields with sufficient accuracy to be used for design purposes and as inline quality gates.
Topics & Concepts
ThermoformingThermoplasticThermoplastic compositesComposite materialMaterials scienceParametric statisticsComposite numberLimitingMechanical engineeringEngineeringMathematicsStatisticsModel Reduction and Neural NetworksProbabilistic and Robust Engineering DesignModeling and Simulation Systems