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process (process-specific design) (2) Optimization of the LPBF process parameters to achieve desired microstructure and material properties, (3) In-depth materials, and property testing and (4) Prototype
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Description The aim of this research is to enhance the durability and fire resistance of veneer-based wood products by developing and optimizing a sustainable wood densification process. The study seeks
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in simulation, modeling, and process optimization. TalTech is equipped with up-to-date laboratories for powder metallurgy, additive manufacturing, laser processing, and materials testing
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the built environment. The aim is to develop and validate a low-barrier digital toolkit that integrates material passports with modular LCA procedures to optimize resource reuse in construction and demolition
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-based control of multilayer electrospinning. The task of the PhD student is constructing a scalable, multiparameter model, which maps online observable process parameters (e.g. spinneret voltage, flow
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topologies tailored for DC-powered HVAC units Synthesis and implementation of control strategies enabling droop-based HVAC operation with optimized energy efficiency Implementation of simulation models (PLECS