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walls reinforced with iron-based shape memory alloys (Fe-SMAs). The PhD project aims to develop a nonlinear finite element modeling framework to simulate the mechanical bond behavior between 3D printed
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assessment methods for steel components, experimental investigation of selected condition assessment methods, and evaluation of their suitability on obtained salvaged steel elements; Developing a computational
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high computational cost presents a challenge for real-time process control. This project aims to overcome this limitation by integrating real-world casting data, process parameters, and finite element
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-class collaborators. Profile We expect from you: Recently obtained master degree in engineering or physics with outstanding grades Excellent knowledge of continuum mechanics and finite element analysis
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outstanding grades Excellent knowledge of continuum mechanics and finite element analysis Excellent coding abilities in at least one language Knowledge and experience with fracture mechanics and/or phase-field
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-time process control. This project aims to overcome this limitation by integrating real-world casting data, process parameters, and finite element method (FEM) simulations using metamodeling techniques
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: Siemens NX CAD: Experience with Siemens NX CAD software. PLM: Experience with Product-Lifecycle-Management solutions. FEA: Finite element analysis to assess and optimize pressure tanks. Design-to-Cost
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Particle Hydrodynamics (SPH) or Finite Element Method (FEM), which require significant computational resources and expert knowledge. These traditional methods lead to prolonged development cycles and
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simulations based on Smoothed Particle Hydrodynamics (SPH) or Finite Element Method (FEM), which require significant computational resources and expert knowledge. These traditional methods lead to prolonged
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simulations based on Smoothed Particle Hydrodynamics (SPH) or Finite Element Method (FEM), which require significant computational resources and expert knowledge. These traditional methods lead to prolonged