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for downhole milling tools. Conduct Finite Element Analysis (FEA) of cutting mechanics under downhole conditions. Support design and validation of prototype tools using the company’s bespoke instrumented test
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to plasticity. (assessed at: application/interview) Experience in computational mechanics, especially numerical methods for solving field equations relevant to material mechanics, i.e., Finite Element schemes
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loading conditions. Finite Element models of the designed specimens will also be generated and biomechanical behaviour of the tooth restored complex will be predicted. Supervisors Prof Hassan Ghadbeigi
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element models. ● Work collaboratively with other colleagues for the validation of the finite element models of rib samples based on in situ mechanical testing data. ● Lead the model uncertainty
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of developing novel computational frameworks that seamlessly integrate machine learning techniques with established methods in computational mechanics, such as the Phase-field Finite Element Methods. Potential
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of how thin a metal sheet current technology can cut and handle. Previous experience / requirements: Skills in mechanics of materials (design and data analysis in mechanical testing), Modelling and
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-based micro-finite element (microFE) models of the mouse alveolar bone can be used to evaluate accurately the bone stiffness, bone strength and local deformation, as compared against state-of-the-art
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Application/Interview Strong background in semiconductor device design and/or simulation, including photolithographic mask layout Essential Application/Interview Experience of 3D finite element modelling (FEM
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skyscrapers, or improving the energy efficiency of mechanical systems, advanced control methods are at the heart of these challenges. Effective control mitigates vibrations, boosts performance, enhances energy
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Simulating Composite Fracture by the Extended Finite Element Method School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Dr J L Curiel Sosa Application Deadline