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is to develop a modeling framework including the use of Random-Walk method to predict NMR measurements, pore-scale finite-element modeling on 3D digital models, generated from CT-images to predict
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) experience and demonstrated proficiency (SolidWorks™ preferred). Finite-element analysis (FEA) experience and demonstrated proficiency (e.g., Ansys™ or equivalent). Gas dynamical modeling expertise (e.g
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. Experience in application of helium mass‐spectrometer leak detection (MSLD) apparatus. Computer-aided design (CAD) experience and demonstrated proficiency (SolidWorks™ preferred). Finite-element analysis (FEA
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thermomechanical finite element modeling, CALPHAD-based thermodynamics, and crystal plasticity and to both powder-scale and atomic-scale simulations. Emphasis will be on integration of model predictions with
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and 3-D electromagnetic finite element codes. Control theory with applications to accelerator systems including RF-beam interactions. Broad knowledge and understanding of RF systems and their role in
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image correlation (DIC) datasets with fully three-dimensional finite element analysis (FEA) results in mechanical test setups on metals and polymers including uni-axial and bi-axial loading at different
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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
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., J. Chem. Engr. Data., 2020, 65 (7) Multiphysics simulations; computational fluid dynamics; finite volume, finite and discrete element methods; computational fluid and particle dynamics; multiscale
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, and is complicated further by the nature of anisotropic materials. The goal of this research is to use finite element methods to develop computational models which can accurately replicate behaviour
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diagrams (PFDs) for cryogenic plant systems. Experience with practical finite element analysis using ANSYS Workbench Excellent written and oral skills and proficient with MS Office and MS Excel. Preferred