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the final weld. Microstructural simulation of grain sizes and morphology after solidification will be developed together with simulation of metallurgical phase transformations at microscale. Combining
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PhD student at ILL on Advanced Neutron Imaging for Defect Mapping in Repaired Aero-Engine Components
many conditions governing microstructural evolution and defect formation, yet the physics linking process conditions to three-dimensional defect distribution in engineering-scale geometries remains
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world. You will find more information about working at NTNU and the application process here. About the position Studies of phase formation, evolution of microstructure and casting defects in high
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achieved through the use of TC intensification principles. The proposed project will investigate the development of TCRs by studying the impact of geometries and microstructures on the hydrodynamics
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microstructures on the hydrodynamics of reactants in chemical and/or catalytic reactions and solid handling processes. The successful PhD student will be co-supervised by Professor Kamelia Boodhoo and Dr. Fernando
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include very high temperature stability, high mechanical stability and longevity, excellent chemical resistance, and tuneable microstructure. Combined with the design freedom of 3D printing, we have the
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. Elements such as copper and tin, which are the focus of this project, enrich at grain boundaries during thermo-mechanical processes used to achieve the desired steel microstructure. In this project, you will
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characterization of advanced materials with unique properties for innovative engineering applications. We develop materials with precisely controlled nanoscale microstructures, enabling enhanced mechanical, magnetic
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will focus on understanding structure–property relationships in hard carbon, with particular emphasis on microstructure, surface chemistry, and solid electrolyte interphase formation. In parallel
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, spectroscopic signatures, microstructural images, processing conditions, and macroscale performance will be used for the optimization of materials. The candidate will collaborate extensively with in