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Meeting MS&T22: Materials Science & Technology
Symposium Inference-based Approaches for Material Discovery and Property Optimisation
Presentation Title Multi-technique Characterisation of Ion-irradiation Effects on High-pressure-Torsion (HPT) Processed EUROFER-97
Author(s) Kay Song, Gregory Strangward-Pryce, Abdallah Reza, Guanze He, David Yang, Kenichiro Mizohata, Felix Hofmann
On-Site Speaker (Planned) Kay Song
Abstract Scope High-pressure torsion (HPT) is a technique that involves subjecting materials to a compressive force (order of GPa) at the same time as torsional straining. This process modifies the microstructure and dislocation content of materials and has the advantage of producing samples with a large range of strain for investigation. The refinement of grains increases grain boundary area which could be favourable for enhanced irradiation resistance of materials for fusion reactors. This study investigates the effect of HPT on EUROFER-97, a leading candidate for reactor structural components. Different characterisation techniques have been combined to study the changes to the material properties (hardness and thermal diffusivity) of EUROFER-97 as a function of mechanical strain and irradiation dose. Their respective contributions to material changes have also been studied through dislocation content measured with X-ray diffraction. Results provide valuable insights into the potential of grain refinement to alter irradiation resistance of nuclear structural materials.

OTHER PAPERS PLANNED FOR THIS SYMPOSIUM

A General Solid Solution Strengthening Model in Multicomponent Alloys
Alloy-agnostic Criteria for Solidification Cracking Susceptibility Evaluation
Comparing High-dose Simulated Irradiation in Tungsten to Experiments
Exploring the Evolution of Irradiation-induced Defects Through Their Energetic Signatures
High Throughput CALPHAD-based Thermodynamic and Kinetic Evaluation of Stainless-steel Solidification
Multi-technique Characterisation of Ion-irradiation Effects on High-pressure-Torsion (HPT) Processed EUROFER-97
Probing the Local Charge Density and Phonon Dynamics by Electron Microscopy
Uncover Hidden Materials Properties with the Lens of Machine Learning
Using Local Thermal Transport Property to Characterize Microstructure of Materials from Additive and Advanced Manufacturing Technologies

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