Sökning: "Nickel- based superalloys"
Visar resultat 1 - 5 av 13 uppsatser innehållade orden Nickel- based superalloys.
1. Microstructural design and optimization of Nickel-based superalloys for gas turbines
Master-uppsats, KTH/MaterialvetenskapSammanfattning : One of the main sources of energy in this modern world is the gas turbine. They reach extremely high working temperatures at peak capacity and hence require materials that can withstand the same. LÄS MER
2. Environmental Barrier Coatings to protect Ceramic Matrix Composites in next-generation jet engines
Master-uppsats, Högskolan Väst/Institutionen för ingenjörsvetenskapSammanfattning : Gas turbine engine efficiency needs to be raised in order to decrease fuel consumption, greenhouse gas emissions, and expenses. Efficiency may be improved in two ways: by reducing engine weight and raising intake temperatures. LÄS MER
3. Ab inito calculation of the formation energy of the sigma phases at 1000 Kelvin : With a five sublattice model for the ternary Iron-Chromium-Nickel system
Kandidat-uppsats, KTH/MaterialvetenskapSammanfattning : This project investigates the σ-phase formation energy at 1000 Kelvin using Exact Muffin TIn Orbital (EMTO) method and considers the disordered local moment approach to handle the paramagnetism in a self-consistent manner. The sigma phase is detrimental and causes embrittlement when it occurs primarily in stainless steel and superalloys with Iron (Fe) and Chromium (Cr), which is why it is necessary to understand it better and therefore avoid it. LÄS MER
4. Electrochemical corrosion analysis of nickel-based superalloys
Master-uppsats, KTH/Yt- och korrosionsvetenskapSammanfattning : Elektrokemisk korrosionsanalys av legeringar är en essentiell del av den större materialanalysen som måste utföras när en legerings lämplighet för en viss applikation evalueras. Nickelbaserade legeringar är kända för sin utmärkta korrosionsresistans, och de Ni-Cr-Mo-baserade legeringarna 59, 625, och 718 är också så kallade superlegeringar. LÄS MER
5. Combined CALPHAD and Machine Learning for Property Modelling
Master-uppsats, KTH/MaterialvetenskapSammanfattning : Techniques to improve the speed at which materials are researched and developed has been conducted by investigating the machine learning methodology. These techniques offer solutions to connect the length scales of material prop- erties from atomistic and chemical features using materials databases generated from collected data. LÄS MER