Professor Eujin Pei
Associate Dean (Quality Assurance)/Professor

Topics

PhD Research Topics

Enquiries are very welcome from those who are keen to pursue PhD and MSc degrees to investigate the use of Additive Manufacturing and Design. Joint supervision, industry partnerships and collaborative research opportunities are also very welcomed. Potential PhD Research Topics include, but are not limited to:

1. Developing a Novel Approach for the Virtual Simulation of 4D Printed Parts - 4D Printing requires accurate methods of simulation for computer-generated models. The purpose of this research will be to design and develop an intelligent computer-based algorithmn that can predict how stimuli-responsive materials will behave when subject to fluctuations in the environment. The results of this work will enable designers and engineers to overcome the current trial-and-error approach of designing 4D Printed Parts.
2. The Integration of Mixed Reality and 4D Printing - The design of 4D Printed parts is often represented as a static computer generated model, in which the use of mixed reality media could offer a collaborative advantage for designers and engineers working together. This work will investigate the use of suitable digital media, interfaces and also the hardware requirements.
3. Building a Knowledge Repository - Shape Memory Materials for Additive Manufacturing - The use of stimuli-responsive materials for Additive Manufacturing has gained popularity in recent years. This research aims to develop a comprehensive database and to map out existing and potential applications linked to the properties of those materials. It is hoped that this combined knowledge will support novel products to be developed by designers and manufacturers.
4. An Investigation of the Structural Integrity of the Shape Memory Components - 4D Printing is associated with the use of smart materials that can sense fluctuations in the external environment and generate a response by either changing the material properties or geometries. This research aims to build an understanding of non-destruction techniques (NDT) using different methods, including vibrometers for dynamic stress and strain measurement, ultrasonic testing for defect detection, and undertaking tensile, flexion and vibration tests. It is expected that the outcome will be a framework that can enable better inspection of shape memory components.
5. Improving Aerodynamic Structures through the use of Shape Memory Materials for Additive Manufacturing - The use of smart materials for Additive Manufacturing has the potential to be applied for aerospace parts. This research aims to investigate how morph-able structures can be better designed and created, with a view of improving the efficiencies of wingtip surfaces and wind generator turbines. It is hoped that the results may lead to significant increase in wind energy production or better aerodynamic lift for air flow control.

PhD projects for research students

• Digital making to enhance craft production and skills training