Johannes Hendriks

Research

Modelling and estimation of strain fields

Novel manufacturing methods such as as 3D metallic printing require techniques to determine the residual stress that is generated within the produced components. Diffraction of neutrons and X-rays allows for measurement of strain and hence stress within polycrystalline samples. The development of models that satisfy the physical properties of equilibrium and boundary conditions has is critical to the estimation of the full strain fields from these measurements.

Non-parametric modelling

Non-parametric modelling provides a flexible approach to learning a model from data that is capable of increasing its complexity as the amount of data increases. These methods include Gaussian processes, and neural networks, and are being used for a wide range of applications. 

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