Essays about: "Gasturbiner"
Showing result 1 - 5 of 30 essays containing the word Gasturbiner.
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1. Gear Modifications for Optimal Load Distribution
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : In the early days of gear manufacturing, engineers aimed to produce teeth as close to the theoretical shape as possible. As machinery advanced and demand for high-speed, high-torque, and quieter transmissions grew, optimizing gear teeth became increasingly important [1]. READ MORE
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2. TEMPERATURE MODELLING OF GEAR MESH
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : Temperature control is an essential aspect of gear design. Continuous research is going on to improve the efficiency of gear systems. Power losses or energy losses in these systems typically manifest themselves as increased temperatures and thus reducing the lifetime and overall performance of the system. READ MORE
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3. Assessing the Benefits of Fossil-Free Gas Turbines in Distribution Networks : A Case Study in Västerås
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : As the share of weather-dependent renewable electricity production increases, the demand for power system flexibility grows. In the Swedish power system, gas turbines have historically been utilised for back-up power generation. READ MORE
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4. CFD validation of a new gas turbinestage design with experimental data
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : Gas turbines are present in two energy-intensive sectors: aviation and energy production. Improving the efficiency of gas turbines has a huge impact on the reduction of CO2 in the atmosphere, therefore many research groups are studying innovative strategies to improve the performance of these turbines. READ MORE
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5. Design Optimization in Gas Turbines using Machine Learning : A study performed for Siemens Energy AB
University essay from Linköpings universitet/Programvara och systemAbstract : In this thesis, the authors investigate how machine learning can be utilized for speeding up the design optimization process of gas turbines. The Finite Element Analysis (FEA) steps of the design process are examined if they can be replaced with machine learning algorithms. READ MORE