Completed Materials & Manufacturing Engineering

Doing More With Less: A Digital Twin of state-of-the-art and emerging high value manufacturing routes for high integrity titanium alloy components

In plain English

AI plain-English summary

Making a single titanium jet engine fan blade can waste up to 70% of the metal, machined away just to keep the right internal structure in the finished part. This research aims to stop that waste by building a digital twin—a virtual replica—of the hot forging process used to shape titanium alloy components for aerospace, energy, and electric vehicles. Current forging produces uneven microstructures, forcing manufacturers to start with oversized blocks and cut most of the material off. The digital twin will simulate how temperature, tool wear, and press forces affect the metal’s internal grain structure and final properties in real time. If successful, it will let engineers design components with less material, use less energy, and switch between traditional forging and emerging powder-based routes like FAST-forge based on cost and performance data. The project is applied engineering, not fundamental science, and its impact will be felt in the supply chains that quietly underpin aircraft, power turbines, and electric car motors—making them cheaper to produce and more resource-efficient without sacrificing safety.

View original technical description
Titanium alloy components are strategically important to the future UK aerospace, energy and electric vehicle sectors owing to their high strength-to-weight ratio, excellent fracture resistance and fatigue properties, and compatibility with carbon fibre composites. Current state-of-the-art titanium components are processed through complex non-linear open-die and closed-die hot forging that generates non-uniform microstructure and properties within different regions. This necessitates significantly larger geometries than the final shape to be forged before 70% of the material is machined away to retain the "optimum" microstructure and property set in the final part. This expensive and wasteful approach has led to a sector-wide effort to produce components with more homogeneous microstructures and property distributions from less material. For example, many emerging powder-derived manufacturing routes have been explored extensively. The UK developed, hybrid FAST-forge powder-derived process has shown promise over recent years to produce affordable titanium alloy components. The high-value manufacturing sector now needs the tools to objectively inform which processing route is optimum, be it state-of-the-art or emerging routes, such as FAST-forge, based on key drivers such as cost, volume, energy consumption, resource use, and in-service properties. Emerging manufacturing techniques such as precision investment casting and additive manufacturing have advantages over forging in terms of material and energy usage and speed of manufacture, but they cannot produce the high integrity properties required for many structure-critical applications. For this century, forging is here to stay, but it needs to have a 21st century makeover to be more agile, economical, less wasteful with better performing products. There is a realisation in industry that in order for UK manufacturing to remain internationally competitive, we need rapid and intelligent process support. For high integrity products there is a drive to create a digital twin of the physical forging process and to empower UK manufacturers to provide a (1) more efficient, less conservative and affordable process route and (2) improved and more consistent properties to reduce design conservatism. This is now possible, owing to recent improvements in control, sensor technology and non-destructive testing characterisation methods, coupled with improved physical understanding and modelling of the material behaviour. The virtual world of a digital twin that incorporates lubrication, tool wear, temperature, and press dynamics, as well as through-process microstructure and property evolution, will be the closest analogy to an equivalent real-world system or physical twin. We now have the infrastructure and data analysis approaches to create this virtual digital twin. Firstly, this will inform industry on the optimum processing route (i.e. state-of-the-art or FAST-forge) for a given component, enable the assessment of process route and allow the whole supply chain to be involved in the early stages of component design (when changes can still be made cheaply through the virtual digital twin). Secondly, it will enable real-time production decisions, instant troubleshooting and validation for future high integrity forged titanium alloy components, using physics-based models and data analytics. From a sustainability standpoint, a digital twin of the microstructure during forging and press performance will enable the supply chain to do more with less material by providing higher confidence in location-specific properties or utilising the press more efficiently (i.e., using less energy) to achieve the property goals of the design. Creating a digital twin of forging, which is accessible to the whole supply chain will consolidate the UK's world class reputation in the manufacturing of high integrity products and lead to significant business investment.

View the original record at the funder ↗

Researchers

Bradley Wynne (Co-Investigator)Hector Basoalto (Co-Investigator)Joao Quinta Da Fonseca (Co-Investigator)Martin Jackson (Principal Investigator)Pete Crawforth (Co-Investigator)Pratheek Shanthraj (Co-Investigator)Salaheddin Rahimi (Co-Investigator)Timothy Dodwell (Co-Investigator)Vassili Vorontsov (Co-Investigator)

Related Research

Grants with similar aims, by meaning.

Developing a digital twin for next generation forging of high-value titanium alloy components
Development of hybrid advanced manufacturing FAST-forge route for next generation aerospace components
Digi-tool
Development of machining digital twins that predict microstructural damage and service life for a range of titanium alloy processing routes
FAST STEP 3 - Swarf Titanium to Engine Parts in 3 Steps

Original classification

Research Grant

Plain English summaries and category classifications on this site are generated by AI and may not perfectly reflect the original research.