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C02 Integrative numerical design methods for component and process

Project Area

C02

Project Leaders

Stefanie Elgeti

Marek Behr

Cooperation Projects

C02 Integrative numerical design methods for component and process
Summary
The DediGrad subproject C02 develops integrative numerical design methods for component and process by combining high-fidelity simulation, scientific machine learning, and multi-criteria optimisation within a consistent framework. The focus lies on highly accurate models for the behaviour of short- and long-fibre-reinforced systems in injection moulding, together with efficient surrogate models for accelerated design. The objective is to treat product and process optimisation not separately but in a coupled manner, thereby enabling robust design strategies for graded lightweight structures. In this way, C02 forms a key methodological bridge between detailed process simulation and computationally efficient system design.
001 Objectives

Integrative Process Simulation

  • High-fidelity modelling of fibre-reinforced injection moulding by means of space–time finite elements and interface tracking
  • Development of surrogate models for costly finite-element simulations
  • Multi-objective design adaptation and physics-based generative design strategies
  • Coupling of simulation, learning, and optimisation in the demonstrator context
002 Scientific Questions

AI-Assisted Optimisation

  • How can high-fidelity simulations of the behaviour of short and long fibres in injection moulding be created?
  • How can efficient surrogate models for component properties and manufacturing processes be established in order to enable computationally tractable optimisation?
  • How can machine-learning-based optimisation methods be defined so that product and process optimisation are addressed in an integrative manner?

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Shaping the Future of Adaptive Lightweight Structures.