Yuhui Tu is a PhD student based in NUIG. He completed his undergraduate studies at Nanjing University of Science and Technology. During that time, his main research focused on metal manufacturing technologies like welding and extrusion. In 2017, he obtained a master’s in material science at the University of Birmingham, UK. His main research interests are in computational modeling and material characterisation for powder bed fusion manufactured metals.
Research Interests (Lay Summary)
The microstructure of any metal component is determined by the manufacturing process conditions. In turn, the mechanical behaviour of the part is strongly influenced by the microstructure. Due to the complex thermal conditions associated with the rapidly moving micro-melt pool and layer-by-layer manner of 3D printing, the resulting microstructure is distinct from traditional manufacturing methods. A through-process computational modeling framework is being developed, associated with advanced material characterisation techniques, to study the relationship between process, microstructure and mechanical behaviour.
In recent years, major advances in microstructural imaging, including electron scanning microscopes (SEM) and electron backscatter diffraction (EBSD), have enabled accurate visual characterisation of grain structures including phase distribution, grain morphology, and their orientations. In parallel, advances in computational modeling methodologies, including crystal plasticity finite element (CPFE) modeling have permitted advanced microstructural mechanical characterisation. Yuhui’s research links both advances to develop a novel technique for incorporating real grain structures and texture into the high-fidelity prediction of multiple mechanical performance such as cyclic stress-strain response and fatigue crack initiation life. Such methodology offers an important through-process simulation capability for additively manufactured materials and process research.