• Are you keen to work on recyclable thermoplastic matrices for polymer composites?
• Are you fascinated by the link between micromechanical processes and the macroscopic deformation and failure response?
• Are you motivated to explore both experimental and numerical tools to tackle your research problem?
Then this PhD vacancy is an excellent fit for you!
Job Description Fiber-reinforced polymer composites are one of the key materials driving the ongoing energy transition. Most high-performance composites are currently made of thermoset polymer matrix material, which are challenging to recycle. There is therefore a strong industrial and academic effort to enhance the lifetime (durability) of the composite materials and, where possible, to replace conventional thermoset polymer matrix material with recyclable thermoplastic polymers.
To predict and improve the lifetime of a composite part, researchers often make use of a multi-scale modelling approach. An essential ingredient of this standard bottom-up modelling strategy is a mesoscale model for the composite at the fiber-matrix level. Yet, data for the matrix often used in these simulations are based on bulk specimen tests and classic continuum models are not able to capture the degree of heterogeneity of the stress and strain field dictating macroscopic failure. This inhibits accurate lifetime predictions and the fast implementation of novel matrix systems such as recyclable thermoplastic polymers.
The aim of the project is to improve our understanding of the deformation and failure behavior of polymers and polymer composites at the mesoscale. The successful candidate will expand the state-of-the-art methods to estimate and tailor the durability of fiber-reinforced polymer composites by:
- Developing a novel numerical (finite element) model to predict amorphous plasticity at the mesoscale.
- Conducting original micromechanical tests on polymer matrices and composites to inform and challenge the numerical predictions.
- Comparing the behavior of different polymer matrices (e.g. thermoset versus thermoplastic, virgin versus recycled, …).