PhD Opportunities within Engineering Systems and Design
Non-Identical Digital Twins for Rapid Manufacturing Process Development - Dr. Aydin Nassehi
This project tests the hypothesis that Cyber-physical production systems can be developed much faster using “non-identical digital twins”. This is achieved by creating a lightweight, low fidelity, digital twin to a physical system and co-evolving this twin, together with adjusting, the parameters in the real system. The co-evolution is enabled by learning from both the digital and the physical twins and shaped further by input from domain experts. Techniques such as machine learning and sensor data fusion are used together with automated rigs that emulate manufacturing processes to inform the research and allow the mechanical properties of the process to be assessed in both the physical and cyber environments.
Application of AI to up-skill designers and design teams - Prof. Ben Hicks
This PhD will investigate how to effectively use AI techniques to support the design of high-value system. Initial research will investigate the feasibility and potential benefits of AI at different stages of the design process. The main body of research will be concerned with the creation of an AI method(s) to support a particular stage of the design process.
Methods to support twinning and revision control in collections of digital and physical prototypes - Prof. Ben Hicks
This PhD is concerned with the creation of methods to twin and/or control revisions within a set of evolving digital and physical prototypes. The PhD will likely need to focus on either twining of the digital to the physical, the physical to the digital, or managing overall revision control. The lab has recently acquired an Optomec Aerosol Jet printer as well as an SLS and series of FDM printers which can be used to support the project.
Generative assembly from pre-existing components - Dr. Chris Snider
Industry data vaults often contain many millions of models of components, with designers often choosing to create new versions due to difficulty in search and difficulty in modification. This work aims to investigate the possibility to use these geometry vaults to generate near-complete systems based on stated requirements, with the ability to identify where existing components are suitable, and where bespoke design is required. To achieve this, there is need to consider the function of the assembly, analysis and classification of existing components, automatic assembly strategies, and self-assessment of suggested system outputs.
Virtual and Augmented Reality in the next generation of engineering design tools - Dr. Chris Snider
With cutting-edge Virtual and Augmented Reality technologies and interface methods currently in-development and entering the market, significant scope exists to build a better bridge between the digital and physical, for a radical re-imagining of the way in which engineers’ design. This doctoral research aims to study such ground-breaking technologies, and how they may steer, support, and improve designer understanding and design process. This work will lead towards cutting-edge technologies, systems, and understanding which answer not only how best to interface with and enhance existing engineering design processes, but also how direct 3D interaction may allow new, radical design systems with step-change benefit.
Modelling and analysis of system structure for design architecture optimisation - Dr. Chris Snider
New research at the University has demonstrated the ability to automatically generate large-scale Design Structure Matrices (DSMs) - a vital tool in engineering system and process optimisation and analysis that has previously been possible to generate solely through manual means. This opens up many new opportunities for development of useful and influential analytics. This work aims to investigate the analysis of these large-scale DSMs to automatically detect system complexity, modularity, risk, and cost in real-time, using this information to rapidly control and optimise the design outputs produced. This capability has huge potential for benefit in system design, optimisation, and engineering process control. Work will involve development of novel algorithms, assessment of multi-modal relationships in engineering design, modelling and assessment of system characteristics, and validation through complex engineering systems and machines.
Immersive Interfaces for Optimisation of Value Adding Systems - Dr. Aydin Nassehi
Augmented and virtual reality systems together with a tangible user interface could allow complex system designers and existing facility managers to assess the effects of various decisions quickly. This would enable experts to simulate different scenarios and create robust risk mitigation plans. This project aims to create a novel user interface and connect it to a multi method system simulation platform to propose a new immersive framework for design and improvement of value adding systems including factories, hospitals and airports.
For further opportunities please go to the Faculty of Engineering website
If you have a research proposal in one of the following areas please contact the relevant supervisor
|Dr Jitendra Agarwal||
Vulnerability and resilience of infrastructures