Rapid 3D Printing of Multi-Material Critical Defence Components
Investigate multi-material metal additive manufacturing to enable rapid single shot printing of defence components. Combine computational modeling, experimental testing, and machine learning to overcome alloy joining challenges and optimize production logistics.
AI-generated overview
Project Description
Project Overview
This project focuses on advancing multi-material metal additive manufacturing (AM) for critical defence components such as hot chambers, nozzles, tanks, and injectors. It aims to overcome metallurgical incompatibility issues between alloys like aluminium, titanium, steel, and nickel superalloys using transitional alloy layers and directed energy deposition (DED) AM systems.
What You Will Do
- Develop and optimize new multi-material joining strategies (e.g., Ni/Al, Ni/Ti, Ni/Fe, Fe/Al, Fe/Ti) using computational thermodynamics and phase kinetics modeling for crack-free transitional layers.
- Manufacture and test multi-material specimens at the Henry Royce Institute with characterization techniques such as advanced microscopy, X-ray CT, and mechanical testing at the University of Southampton.
- Create a graph neural network-based logistics framework to optimize distribution of materials, stocks, and production sites across the UK under different scenarios.
Expected Outcomes
The project will deliver optimized joining processes enabling single shot multi-material component printing, validated through experimental testing and advanced characterization. A novel machine learning logistics framework will facilitate effective production and distribution planning at national scales.
Why This Matters
Rapid and flexible manufacturing is critical for UK national security to produce defence components on demand and across dispersed locations. Overcoming multi-material joining barriers will transform manufacturing resilience and defence readiness, directly aligning with EPSRC and MOD priorities in advanced manufacturing and national resilience.
Entry Requirements
How to Apply
Eligibility
Supervisor Profile
Prof Pedro Eduardo Jose Rivera-Diaz-del-Castillo is a leading expert in materials science and engineering, specializing in multi-material manufacturing and metallurgy. His research encompasses computational thermodynamics, phase kinetics, and the integration of advanced manufacturing techniques with machine learning. He holds a strong international research presence with over 10,000 citations and a robust h-index, reflecting his influential contributions to materials engineering and additive manufacturing.