Sökning: "process parameter flow"
Visar resultat 1 - 5 av 91 uppsatser innehållade orden process parameter flow.
1. Process parameter optimisation for Waspaloy using Laser-Directed Energy Deposition with Powder
Kandidat-uppsats, Högskolan Väst/Institutionen för ingenjörsvetenskapSammanfattning : Material utilisation is of importance in the manufacturing industry formaking the most of each material, minimising waste and increasing cost-effectiveness. In this thesis, samples of Waspaloy built with the method of L-DED-P has been analysed in order to investigate how process pa-rameters influence the build quality and geometrical accuracy in as-builtobjects. LÄS MER
2. Computational Fluid Dynamics and Modeling of a Free Surface Flow
Master-uppsats, KTH/Skolan för teknikvetenskap (SCI)Sammanfattning : This project deals with the CFD modelling of a free surface flow. The aim is to develop and validate a fast and accurate numerical model for stratified two-phase flows. Volume of Fluid (VOF) multiphase model is employed. The purpose is to use the developed numerical model for the design of an element within a compact nuclear reactor. LÄS MER
3. The effect of nozzle geometry on bubble formation : Physical modeling by air in a water tank
Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)Sammanfattning : The bubble flow is used for different application in steel production and refining processes. It plays in indispensable role in the ladle refining process such as for homogenization and inclusion removal. Hence, it is important to understand the effect of the nozzle outlet geometry on the bubble formation. LÄS MER
4. Assessment of Machine tool flexibility in a Production system
Master-uppsats, KTH/ProduktionsutvecklingSammanfattning : This project aims to present machine tool characteristics which may induce limiting factors in terms of flexibility. The aim is also to present a current state description of the machine tools in the production system regarding their characteristics in terms of quantifiable results. LÄS MER
5. Physics-Enhanced Machine Learning for Energy Systems
Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Institutionen för reglerteknikSammanfattning : Building operations account for a large amount of energy usage and the HVAC (Heating, Ventilation and Air Conditioning) systems are the largest consumer of energy in this sector. To reduce this demand, more energy-efficient control algorithms are implemented and a popular choice for a controller is the model predictive control. LÄS MER