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PhD Studentship in Multiscale Modelling of Nanocomposites Manufacturing

Project Overview:Polymers filled with multifunctional nanoparticles (e.g. graphene) are promising material candidates for producing multifunctional components/devices for use in sectors such as energy storage, flexible electronics, electromagnetic shielding. One of the main challenges in achieving optimum multifunctional properties is to obtain optimum dispersion and distribution of nanoparticles in the polymer. Melt state and quasi-solid state manufacturing processes offer means for controlling nanocomposite morphology, and hence of their end-use properties. However, those processes require a careful selection of optimum processing conditions, and may also benefit from the application of external fields (e.g. magnetic) to fully control the morphology.

The ultimate objective of this project is to develop an advanced 3D nonlinear multiscale computational model for prediction and optimisation of the melt and quasi-solid state processing of polymer nanocomposites, with and without the external fields. The model development will address computer reconstruction of 3D nanocomposite morphologies, application/computer implementation of physically-based constitutive models for polymers in the melt and quasi-solid state, and coupling of mechanical and external fields.

 

The successful candidate will be based in the International Institute for Nanocomposites Manufacturing (IINM), where the model will be experimentally-validated. 

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