Essays about: "Computational fluid"

Showing result 16 - 20 of 384 essays containing the words Computational fluid.

  1. 16. Improving Water Droplet Prediction for Vehicle Exterior Water Management: Insights from Experimental and Simulation Studies

    University essay from KTH/Väg- och spårfordon samt konceptuell fordonsdesign

    Author : Anton Labbé; Mahim Ahsan; [2023]
    Keywords : Computational Fluid Dynamics; Volume of Fluid; Kistler Correlation; Water Droplet; Wind Tunnel Measurement; Exterior Water Management.; Beräkningsfluidmekanik; Volume of Fluid; Kistler-korrelation; Vattendroppar; Vind Tunnel Experiment; Exteriört Vattenhantering.;

    Abstract : This thesis focuses on the study of water transportation on vehicle surfaces, which is crucial for ensuring the unobstructed operation of sensors and cameras in autonomous vehicles. The research aims to develop and validate experimental and simulation methods to enhance the understanding of water droplet behaviour and to create accurate models for computational fluid dynamics (CFD) simulations. READ MORE

  2. 17. CFD investigation of a unit cell inside a Plate Heat Exchanger

    University essay from Lunds universitet/Institutionen för energivetenskaper

    Author : Mattias Ly; [2023]
    Keywords : Plate Heat Exchanger; CFD; Computational Fluid Dynamics; LES; Large Eddy Simulation; Periodic; Unit Cell; Technology and Engineering;

    Abstract : A numerical investigation of the unit cell approach has been done to reduce the computational cost for CFD (Computational Fluid Dynamics) of plate heat exchangers (PHE) at Alfa Laval. The reduced cost would enable LES (Large Eddy Simulation) to be done which would give a more detailed and accurate insight into the flow and heat transfer processes of the PHE. READ MORE

  3. 18. A coupling method using CFD, radiative models and a surface model to simulate the micro-climate

    University essay from KTH/Teknisk mekanik

    Author : Joseph Vernier; [2023]
    Keywords : Computational Fluid Dynamics; Fluid Mechanics; Numerics; Micro-climate modeling; Radiation; Crop modeling; Photovoltaic panels;

    Abstract : The increasing demand for energy, depletion of fossil fuels, rising global warming, and greenhouse gas emissions have stimulated the need for widespread development and adoption of renewable energy sources (RES) worldwide. Among these sources, solar energy has emerged as a major contender to meet the growing demand. READ MORE

  4. 19. An Open-Source Autoencoder Compression Tool for High Energy Physics

    University essay from Lunds universitet/Partikel- och kärnfysik; Lunds universitet/Fysiska institutionen

    Author : Axel Gallén; [2023]
    Keywords : Physics; Particle Physics; Analysis; Machine Learning; Neural Networks; Autoencoders; Data Compression; Lossy Compression; Baler; Physics and Astronomy;

    Abstract : A common problem across scientific fields and industries is data storage. This thesis presents an open-source lossy data compression tool with its foundation in Machine Learning - Baler. Baler has been used to compress High Energy Physics (HEP) data, and initial compression tests on Computational Fluid Dynamics (CFD) toy data have been performed. READ MORE

  5. 20. Designing Effective Derivative Line Filters: Utilizing convolution to extract extra information

    University essay from KTH/Matematik (Avd.)

    Author : Gustaf Lorentzon; [2023]
    Keywords : Computational Fluid Dynamics; Convolution Filters; Convolution Kernels; Derivatives; Extracting Extra Accuracy; Filtration; Post-processing; Smoothness-Increasing Accuracy-Conserving; Signal-processing; Visualization; Vorticity; Beräkningsbaserad Strömningsdynamik; Faltningsfilter; Faltningskärnor; Derivator; Extrahering av Extra Noggrannhet; Filtrering; Efterbehandling; Kontinuitetsökande; Noggrannhetsbevarande; Signalbehandling; Visualisering; Vorticitet;

    Abstract : The ability to generate accurate approximations of derivatives holds significant importance in numerous scientific fields, including chemistry, economics and fluid mechanics. This thesis is centred around extracting hidden information in data using Smoothness-Increasing Accuracy-Conserving (SIAC) filters. READ MORE