Mr Xinyu Yang
Postgraduate Researcher

Xinyu Yang is a PhD researcher working in the area of process-structure-property modeling. He holds a BE and ME on creep damage analysis and life prediction in the School of Mechanical and Power Engineering from Nanjing Tech University. His main research interests are in the areas of metal additive manufacturing, computational mechanics and structural integrity analysis.

Research Interests (Lay Summary)

Xinyu started his PhD with I-Form in 2018; his research is devoted to process-structure-property modeling in additive manufacturing (AM). AM is an exciting new technology which facilitates the manufacture of complex geometries at high speed and with significant opportunities for reduced material waste. Associated with the disruptive nature of AM, there is a significant lack of knowledge and understanding about the microstructures of AM components and materials. The performance of engineering components, especially mechanical performance (e.g. tensile strength, stiffness, fatigue resistance), is directly related to microstructure. Therefore, it is important to build a link between process, microstructure and mechanical properties. The developed models can be used as a design tool for industry for process optimisation.

 

Technical Summary

The main focus of Xinyu’s research is to develop a physically based process-structure-property model in terms of complete knowledge of key microstructural features. At first, an integrated approach is used to predict microstructure through the additive manufacturing process, mostly focussing on the solidification morphology and solid-state phase transformation. A constitutive model is being developed based on dislocation mechanics that contains key microstructural evolution variables for dislocation density, grain size, phase fraction, etc. A specific aim of this work is to provide the manufacturing industry with an enhanced understanding of key AM process parameters, such as laser power and scanning speed, and their effect on the final properties of the AM components during the design stage. Hence, they can improve the printing process to form improved microstructures and mechanical properties.

Expertise

Additive Manufacturing (3D Printing), Computational Mechanics, Materials Structure-Property Analysis, Powder Bed Fusion, Predictive Modeling, Process Optimisation, Selective Laser Melting (SLM)