Integrated Advanced Experimental and Data-Led Materials and Process Development for Advanced Stainless Steels and Hybrid Materials Joints with Nanostructures

2026-07-22

The project targets at the critical problems in welding/joining of advanced stainless steels and complex material system through modern experiments, physical modelling and data-informed materials and interruptive processing development. The objectives: 1. To establish the effect of element solutions on the grain nucleation/growth and the interface parameters between different phases (Ferrite, Austenite and martensite) in the similar and dissimilar welding through quantum mechanics modelling. 2. To develop methods to quantify/predict the depletion of Cr elements around secondary phases and corrosion resistance, and the competitive mechanisms between key alloying elements (Nb, Cr, Mo) in phase formation at different temperatures. 3. Develop welded systems of dissimilar/hybrid materials for significant weight reduction through nanoscale structures of superior stiffness-toughness-corrosion performances beyond traditional limit; 4. To provide training on problem-specific physical based predictive simulation, phase field modelling and advanced analysis by the host/project partner and transfer knowledge from the ER on materials design at atomic and nano-scales from his previous research in leading labs in China and Japan. The outcome will promote the use of advanced stainless steels with significant long term social and environmental benefits, and direct scientific, industrial, economic impact. This programme offers an opportunity to cement collaboration between international award winning multidisciplinary research in the Host, the ER and intesectoral partners. If supported, this Individual Fellowship (IF) will significantly accelerate the development of the interdisciplinary research skills and career of the ER, transfer his expertise to new areas of research and new external collaborations. The methodology, outcome and dissemination of the project will contribute the development of deep data for Industry 4.0 for welding and materials, contribute the R&I in the EU.

United Kingdom (UK)

2026-02-01