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Developing high-performance NiTi shape memory alloy for sustainable elastocaloric cooling

Project description

Innovative shape-memory alloy technology for cooling systems

Current cooling technologies consume vast amounts of electricity and contribute significantly to carbon emissions. Elastocaloric cooling presents a promising alternative. This technology leverages the unique properties of NiTi shape-memory alloys to achieve energy-efficient temperature regulation. However, the internal structure limits the performance of these materials. Supported by the Marie Skłodowska-Curie Actions programme, the SMAEC project aims to create gradient microstructures in NiTi shape-memory alloys, combining coarse and fine grains to improve efficiency. Researchers will use novel processing routes and leverage machine learning to optimise processing parameters and microstructural design. SMAEC will further develop the potential of NiTi shape-memory alloys, driving the development of next-generation sustainable cooling technologies.

Objective

Cooling is vital for human well-being, yet current cooling systems predominantly rely on vapor-compression technology, which consumes nearly 20% of global electricity and accounts for approximately 7.8% of worldwide carbon emissions. Elastocaloric cooling, based on the stress-induced latent heat associated with reversible martensitic transformations in NiTi shape memory alloys (SMAs), offers a promising energy-efficient and eco-friendly alternative. However, conventional NiTi SMAs often fail to simultaneously achieve high cooling capacity and low energy dissipation due to suboptimal microstructures, which significantly reduces their overall cooling efficiency. This project aims to overcome this trade-off by engineering gradient microstructures in NiTi SMAs, consisting of coarse grains at the surface and fine grains in the core. A novel processing route, integrating cold rolling with advanced laser surface annealing, will be developed to realize this hierarchical architecture. In parallel, a dedicated testing platform will be established to evaluate elastocaloric performance under application-relevant conditions. With fellowship support, the project will establish quantitative microstructure–property relationships and construct a database to enable machine-learning-assisted optimization of processing parameters and microstructural design. Particular emphasis will be placed on understanding how structural gradients influence the martensitic transformation and cooling performance of heterogeneous NiTi SMAs. The resulting insights will advance the fundamental science of SMAs, drive the development of next-generation sustainable cooling technologies, and reinforce United Kingdom's leadership in climate solutions. This research proposal will be hosted by Prof. Minh-Son Pham from the Imperial College London.

Fields of science (EuroSciVoc)

Keywords

Programme(s)

Topic(s)

Funding Scheme

HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships

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Call for proposal

(opens in new window) HORIZON-MSCA-2025-PF

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Coordinator

IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND MEDICINE
Net EU contribution
€ 260 347,92
Address
SOUTH KENSINGTON CAMPUS EXHIBITION ROAD
SW7 2AZ London
United Kingdom
Region
London Inner London — West Westminster
Activity type
Higher or Secondary Education Establishments
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Total cost
No data