Available Projects
The project list below helps self-funded and externally sponsored applicants (scholarship) connect with a prospective supervisor.
Applications are welcome from those who can support themselves or have funding already arranged. Such applications will go through the same level of academic assessment. Please see the fee arrangementsLink opens in a new window for PGR students.
Robotic Extrusion and Process Control for 3D Printing of Cementitious Materials
This project investigates the interactions between cementitious material rheology, robotic deposition and material extrusion, developing a controlled dispensing system to predict and optimise print quality. By linking material behaviour, deposition dynamics, and structural performance, the project aims to develop a framework for data-informed 3D printing of concrete, advancing automation, quality and precision in construction.
Primary supervisor: Dr Javier Munguia - Email:Javier.Munguia@warwick.ac.uk
Co-supervisor: Dr Reyes Garcia
Project detail:
Concrete 3D printing is revolutionising construction through increased automation, enhanced design freedom, and improved material efficiency. However, its performance and reliability are still limited by the complex coupling between material rheology, extrusion dynamics, and robotic motion control. Small variations in mix design or process parameters can cause flow instabilities, poor layer adhesion, and geometric inaccuracies.
By combining advanced rheological characterisation with robotic process control, the research aims to establish predictive relationships that can inform both mix design and machine operation in automated concrete fabrication.
Research Aims and Objectives
Aim: to establish a scientific and technical foundation for small-scale robotic 3D printing of cementitious materials.
Key objectives:
1. Develop a modular, low-mass extrusion and nozzle system suitable for a UR7 collaborative robot.
2. Optimise fine cementitious mixes for small-scale, low-pressure extrusion.
3. Characterise process–structure–property relationships to inform printability and mechanical performance.
4. Integrate feedback-based sensing and control for reliable deposition and geometric precision.
5. Evaluate printed material performance and benchmark against conventional casting.
Resources and Facilities
The project will use the School鈥檚 existing robotics and materials testing capabilities, including:
鈥� A UR7 collaborative robotic arm with open programming interface.
鈥� Shared rheology, mixing, and mechanical testing equipment within Civil and Structural Engineering.
鈥� Access to digital fabrication workshops for nozzle and tool development.
How to apply for admission:
How to apply for a scholarship: /fac/sci/eng/postgraduate/funding/
The 天美传媒 provides an inclusive working and learning environment, recognising and respecting every individual鈥檚 differences. We welcome applications from individuals who identify with any of the protected characteristics defined by the Equality Act 2010.