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skills include: Interest or background in composite materials, particularly in modelling and/or testing Basic understanding of finite element methods (FEM); any exposure to impact or burst mechanics is a
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materials, particularly in modelling and/or testing Basic understanding of finite element methods (FEM); any exposure to impact or burst mechanics is a plus Familiarity with FE simulation tools such as ANSYS
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simulations and finite element analysis, with high-heat flux electron beam experiments. The research will simulate and replicate steady, cyclic, and transient thermal loads to better understand PFM behaviour
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validation experiments for modelling • Computational fluid dynamics techniques • Finite element analysis method • Reviewing literature, planning and managing research, writing technical report / paper
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This PhD project will focus on developing AI-based methods to accelerate the Swansea University in-house discontinuous Galerkin (DG) finite element solver for the Boltzmann-BGK (BBGK) equation
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distribution in wire based additive manufacturing • Calibration and validation experiments for modelling • Temperature monitoring techniques • Finite element analysis method • Reviewing literature, planning and
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with knowledge and interest in structural dynamics, finite element analysis, programming and numerical methods. Applicants are expected to have achieved or be about to achieve a First-class honours MEng
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degree in Engineering and have an interest in and/or a good understanding of numerical modelling and testing of structures. Prior knowledge of finite element methods and programming (e.g. C++, Python
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by using commercial software such as Ansys, Abaqus, SolidWorks, etc. Experience in computational fluid dynamics (CFD) modelling or finite element (FE) modelling; Fundamental knowledge in fluid
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. Develop analytical and finite element (FE) models to investigate the extent and sources of nonlinear behaviour in LGSs. 3. Develop novel control strategies to stabilise LGS shape, orbit & attitude