Simulating the scatter of a polycrystalline in synchrotron diffraction using crystal plasticity simulation

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Application of high energy synchrotron diffraction to characterise the behaviour of industrial polycrystalline metallic materials has gained significant attention in the past decade. Critically, the in-situ experiments simulating the demanding environments under which the materials in safety critical industries such as nuclear work, have been instrumental in underpinning their constitutive laws. However, such experiments often examine only a small volume of materials due to the restrictions associated with X-ray depth penetration.In this project a true representative of polycrystalline material will be developed using a microstructurally informed crystal plasticity model. The model will be calibrated using previous and future experiments. The crystal plasticity model traditionally used within a finite element framework are slow to run. This project will take advantage of spectral method instead to perform numerical calculations required which will be orders of magnitude faster than the traditional methods. This advantage of spectral methods will be exploited to carry out statistical analysis on the effects of microstructure variability on the bounds of large-scale material response.While the main objective of the work is to quantify the material behaviour variability at balk, the response of single grains as a function of their environment will be also investigated. We will take advantage of Machine Learning applied on the results of the simulating to build surrogate models of the crystal plasticity to accelerate the analysis process.