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Materials Frontier No.199

Title:Measuring the elastic distortion by HR-DIC and HR-EBSD technologies combined with CPFE modelling
Speaker:Dr. Jun Jiang,Imperial College,London
Date:2017-12-11,2:30pm
Venue:Room 308,Xu Zuyao Building
Invitor:Prof.Jin Xuejun
Biolography
Dr Jun Jiang is a Lecturer in Mechanics of Materials Division at Imperial College London and a leading expert in micromechanics.
 
Summary of Research Experience
His research interest focuses on developing microstructural-controlled and cost-effective manufacturing techniques. He finished his DPhil at Oxford in 2013 studying dislocation behaviours in polycrystalline materials using high resolution electron back scatter diffraction (HR-EBSD). He then moved to the Department of Materials at Imperial College, worked on revealing the fatigue crack nucleation mechanisms in nickel based superalloy using HR-EBSD, HR-digital image correlation (HR-DIC) and crystal plasticity finite element (CPFE). In 2016, he joined the Department of Mechanical Engineering as a Research Fellow and promoted as a Lecturer in 2017. Over 40 papers have been published on the top field journals e.g. Acta Materialia, Royal Society Proceeding and International Journal of Plasticity, which have attracted over 400 citations over the past 5 years.
 
Abstract:
Predicting when and where materials fail is a holy grail for structural materials engineering. Development of a predictive capability in this domain will optimize the employment of existing materials, as well as rapidly enhance the uptake of new materials, especially in high-risk, high-value applications, such as aeroengines. In this article, we review and outline recent efforts within our research groups that focus on utilizing full-field measurement and calculation of micromechanical deformation in Ni-based superalloys. In particular, we employ high spatial resolution digital image correlation (HR-DIC) to measure surface strains and a high-angular resolution electron backscatter diffraction technique (HR-EBSD) to measure elastic distortion, and we combine these with crystal plasticity finite element (CPFE) modelling. We target our studies within a system of samples that includes single, oligo, and polycrystals where the boundary conditions, microstructure, and loading configuration are precisely controlled. Coupling of experiment and simulation in this manner enables enhanced understanding of crystal plasticity, as demonstrated with case studies in deformation compatibility; spatial distributions of slip evolution; deformation patterning around microstructural defects; and ultimately development of predictive capability that probes the location of microstructurally sensitive fatigue cracks. We believe that these studies present a careful calibration and validation of our experimental and simulation-based approaches and pave the way toward new understanding of crack formation in engineering alloys.

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