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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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focus on developing new power electronics and control architectures to enable the operation of residential HVAC systems (heat pumps and heat recovery ventilation units) in droop-controlled DC microgrids
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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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model, which maps online observable process parameters (e.g. spinneret voltage, flow rate etc.) to nanofiber product quality (e.g. morphology, diameter variance, all of which are only observable offline
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from on-board and off-board sensors have been collected and analysed. However, such raw data collected from multiple sensors is often disturbed and does not indicate the ship performance at calm water
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the progress toward the energy balance, enabling PEBs, PEDs, and other Smart City installations. Research plan Collecting and analyzing multimodal data (3D models, point clouds, building metadata, Smart City
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on the fabrication of functional materials with enhanced properties for industrial applications using the laser powder-bed fusion (LPBF) process. Particular attention will be paid to alloy design, parameter
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real-time application from MATLAB/SIMULINK for the target machine Set up and tune signal parameters from within MATLAB/SIMULINK during real-time execution Practical tests on the test bench • The test
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Assistant Professor Pablo Daniel En- rique (University of Waterloo) Project goals The main goal of this doctoral research is to develop and apply thermomechanical simulations to study the LPBF processing
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landfills instead of reentering the urban value chain. At the same time, existing planning and procurement processes lack unified digital platforms, clear end-of-waste criteria, and incentives for secondary