Multi-stage simulation of aerospace out-of-autoclave composite manufacture
This is an EngD studentship in the . The studentship is sponsored by .
Resin transfer moulding (RTM) provides a route to reduce the energy wastage in composites manufacturing. It enables components to be produced quickly without the use of an autoclave. For complex geometries, such as those used in wing spars of considerable length, a dry carbon fibre fabric needs to be formed to shape before injecting the polymer matrix. During dry fabric forming, defects such as wrinkles can occur which cause parts to be scrapped. To minimise material and energy wastage, digital models of the manufacturing processes can be developed and linked to process control and optimisation. State-of-the-art digital models and AI tools that incorporate machine learning could enable predictions of the dry fibre forming that are subsequently used as input into the RTM process model.
The EngD project will:
- Investigate the multi-stage modelling approach for use with dry fibre forming and RTM manufacturing processes
- Assess if a modelling approach can inform process control and optimisation, leading to a reduced part scrap rate
- Build simulation tools that support the understanding of defect generation during forming
- Identify state-of-the-art software and methodologies for modelling composite manufacturing processes and demonstrate how they would be integrated within production facilities
- Excite your interest in creating manufacturing process models with a view to creating more sustainable aircraft parts
This project is extremely well aligned to GKN Aerospace’s ambition of using out-of-autoclave technologies for composites manufacturing.
You will:
- Be immersed in one of the world’s leading aerospace companies spending approximately 75% of your time on-site. You'll gain real-world experience in industrial-scale composite manufacturing—exposure rarely available through academic programmes
- Gain hands-on experience with state-of-the-art composite materials and cutting-edge manufacturing techniques, preparing you for a career at the intersection of innovation and industry
- Deepen your passion for automated manufacturing processes, driving the development of sustainable composite structures for high-performance applications
- Undertake doctoral-level training at the University of Bristol, a globally recognised institution at the forefront of composites research
Start date: September 2026 for four years
Supervisors
Candidate requirements
You must hold/achieve a minimum a 2:1 MEng or merit at master’s level or equivalent in engineering, physics or chemistry, depending on the project. Applicants without a master's qualification may be considered on an exceptional basis, provided you hold a first-class undergraduate degree. Please note, acceptance will also depend on evidence of readiness to pursue a research degree and performance at interview.
Funding and eligibility
This studentship is open to home/permanent UK residents only - subject to security clearance.
You will receive an enhanced stipend of £26,780 for 2026/27, home tuition fees and generous financial support for research and training.
How to apply
Deadline for applications: 17 April 2026
To apply please email a personal statement outlining your experience and your interests in this EngD project, plus your CV and transcript to Dr Mikhail Matveev mikhail.matveev@nottingham.ac.uk