Search for dissertations about: "discharge process"
Showing result 1 - 5 of 208 swedish dissertations containing the words discharge process.
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1. Hybrid Solvents based on Ionic Liquids/Deep Eutectic Solvents for CO2 Separation : Experiments, Modeling, Process Simulation and Evaluation
Abstract : CO2 separation plays a vital role in reducing CO2 emissions to combat climate change, in which solvent-based absorption is widely considered the most promising technology. Many conventional chemical and physical solvents have been introduced for CO2 separation, still facing challenges. READ MORE
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2. Numerical Simulations of Long Spark and Lightning Attachment
Abstract : The research work presented here is concerned with numerical simulations of two different electrical phenomena: Long gap electrical discharges under switching impulses and the lightning attachment process associated with positive upward leaders. The development of positive upward leaders and the progression of discharges in long gaps are attributable to two intertwined physical phenomena, namely, the leader channel and the streamer zone. READ MORE
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3. The HiPIMS Process
Abstract : The work presented in this thesis involves experimental and theoretical studies related to a thin film deposition technique called high power impulse magnetron sputtering (HiPIMS), and more specifically the plasma properties and how they influence the coating. HiPIMS is an ionized physical vapor deposition technique based on conventional direct current magnetron sputtering (DCMS). READ MORE
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4. CFD and data-driven modeling for safe spillway discharge
Abstract : A spillway is a crucial dam structure that regulates water levels and prevents the dam from overtopping. The majority of the dams in the world were constructed before the 1980s. Compared to the current design flood standards, many spillways are undersized, e.g. READ MORE
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5. Robust Water Balance Modeling with Uncertain Discharge and Precipitation Data : Computational Geometry as a New Tool
Abstract : Models are important tools for understanding the hydrological processes that govern water transport in the landscape and for prediction at times and places where no observations are available. The degree of trust placed on models, however, should not exceed the quality of the data they are fed with. READ MORE