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Completed STUDENTSHIP UKRI Gateway to Research

A computational and experimental framework for tissue engineering scaffold design and characterisation


Funder Engineering and Physical Sciences Research Council
Recipient Organization Swansea University
Country United Kingdom
Start Date Jun 30, 2021
End Date Jun 29, 2025
Duration 1,460 days
Number of Grantees 2
Roles Student; Supervisor
Data Source UKRI Gateway to Research
Grant ID 2573181
Grant Description

Mechanobiology research is for understanding the role of mechanics in cell physiology and pathology.

It will have implications for studying cellular physiology and pathology and to guide the strategy for regenerating both the structural and functional features of tissue (such as bone / cartilage).

In mechanobiological studies in vitro, a dynamic micro-mechanical environment is usually applied to cells via bioreactors. Porous scaffolds are commonly used for housing the cells in a three-dimensional (3D) culturing environment.

Such scaffolds usually have different pore geometries (e.g. with different pore shapes, pore dimensions and porosities).

These pore geometries can affect the internal micro-mechanical environment that the cells experience when loaded in the bioreactor.

Therefore, to adjust the applied micro-mechanical environment on cells, researchers can tune either the applied load and/or the design of the scaffold pore geometries.

To benefit the tissue engineering / organoids fields for cellular mechanobiology research by optimising the mechanical stimulation on cells within scaffolds, this PhD project aims to develop a computational and experimental framework for designing tissue engineering scaffold geometry and characterising its influence on the internal micro-mechanical environment.

To carry out the PhD project, computer-aided design / computer-aided engineering (CAD/CAE) approach will be used for creating scaffold geometries and simulating the internal micro-mechanical environment.

In addition, experimental measurement will be setup for validating the simulation results by measuring the flow within scaffolds, for example. Afterwards, many simulations will be run on various scaffold geometries to create a "big data".

Finally, a data-driven optimisation technique will be used for processing the "big data" to build up a automatic design framework.

This framework is expected to be applied to scaffold geometric design for various tissue engineering applications (e.g. bone, cartilage).

All Grantees

Swansea University

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