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models. The scientist will conduct research using machine learning and classical parameterization methods on data from ocean gliders equipped with microstructure turbulence sensors, turbulence resolving
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ways, mechanical properties test (such as tensile test, etc.) and some highly advanced microstructural characterisation such as SEM (Scanning electron microscope), XRD (X-ray diffraction) and TEM
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welded samples and subjected to stress-corrosion cracking tests. A Gleeble thermomechanical simulator could also produce coupons with microstructures matching specific weld zones. Advanced characterisation
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and embrittlement by precisely optimizing additive manufacturing parameters. By combining experimental investigations, advanced microstructural analyses, and numerical simulations, a novel manufacturing
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compared with existing alloys. The properties of this alloy depend on careful control of the microstructure, in particular the second phase particles and recrystallization. The project aims to understand
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microstructure exhibiting improved physical and mechanical properties. The main objective of this project will be to develop a mechanistic understating of the microstructural evolution of the Additive
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microstructure exhibiting improved physical and mechanical properties. The main objective of this project will be to develop a mechanistic understating of the microstructural evolution of the Additive
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and the effects of disordered correlated microstructures on diffusion; iii) development of energy-based models and numerical simulations of hyperuniform assemblies; iv) development and application
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on the thermomechanical performance of W/V joints via these methods. Understanding the link between microstructure and properties is crucial for process optimisation and design integration. Project Scope: This PhD will
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microstructure, residual stress, and distortion of the deposited parts, all of which significantly impact their mechanical properties and overall performance. Consequently, accurately determining and effectively