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We have 92 Mechanics PhD Projects, Programmes & Scholarships

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Mechanics PhD Projects, Programmes & Scholarships

We have 92 Mechanics PhD Projects, Programmes & Scholarships

EDEM Drag Force Model Investigation of Predict Pick-up Efficiency of Gravel

Applications are invited for one full-time PhD Studentship within Brunel Design School research and PhD programmes | Brunel University London funded by Bucher Municipal Ltd. Read more

Modelling the Role of Hard Particles in Hard Facing Alloys

Supervisory Team:  Robert Wood, Georges Limbert and Dave Stewart (RRSL). Project description. Hard facing alloys, such as those used in nuclear power plant, are composite materials comprising carbides (and other hard phases), in galling resistant metallic matrices. Read more

Data centric modelling of adhesive wear

Supervisory Team:  Robert Wood, Jo Grundy and Dave Stewart (RRSL).  Project description. The occurrence of adhesive wear between sliding surfaces can cause high friction, vibration, material transfer between surfaces and even seizure of components. Read more

Advancing Integrated Engineering Design of Breeding Blankets to Mitigate Failure

Applications are invited for a studentship in the area of Finite Element modelling of Nuclear Materials under Extreme Thermomechanical Loads, leading to the award of a PhD degree, with a desired start in September 2024. Read more

Coupling of fluid flow with multiple physics

Prof. Xuerui Mao’s research group at Beijing Institute of Technology (BIT) is recruiting a PHD student on simulation or experiments of complex fluid flow coupled with multiple physics, with potential topics depending on the expertise and interest of the candidate. Read more

Developing a Systematic Food Texture Characterisation Methodology for Advanced Manufacturing

Food texture is related to the way our senses perceive and feel the rheological and mechanical properties of edible substances. For example, a potato chip is crispy; an apple is crunchy; butter is soft; bread is firm; candy is hard; yogurt is smooth; cream is thick; cake is moist, and honey is sticky. Read more

Machine Learning approaches to improve the efficiency of fluid dynamics simulations

OpenFOAM and CFD simulations are often computational expensive both in terms of resources and time. CFD codes often use explicit methods that require small time steps of the order of micro-nano seconds. Read more

Intracellular Capillarity of Biomolecular Condensates

The emerging role of biomolecular condensates formed through a liquid-liquid phase separation process inside biological cells is driving a paradigm change in our understanding of cellular organisation. Read more

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