Sökning: "Numerical methods"

Visar resultat 16 - 20 av 752 uppsatser innehållade orden Numerical methods.

  1. 16. Thermal and flow field validation of lattice Boltzmann method solver

    Uppsats för yrkesexamina på avancerad nivå, Luleå tekniska universitet/Institutionen för teknikvetenskap och matematik

    Författare :André Skagius-Kallin; [2023]
    Nyckelord :Lattice Boltzmann method; heat transfer; flow field;

    Sammanfattning : Computational fluid dynamics, abbreviated CFD, is a valuable tool for several engineering applications. Applications such as heating, cooling or drying are some examples of areas where CFD is used. LÄS MER

  3. 17. Lao Students’ Financial Behavior and Financial Well-being : The Role of Gender, Competence, Confidence, and Trust in Bank Systems

    Master-uppsats, Linköpings universitet/Nationalekonomi; Linköpings universitet/Filosofiska fakulteten

    Författare :Vanda Björklund Engström; Sofia Puman; [2023]
    Nyckelord :;

    Sammanfattning : To increase sound financial behavior and financial well-being among people in different countries, we need policies developed from various local perspectives. We have conducted a field study in the lower-middle-income country Laos, founded on a previous study from a high-income country. LÄS MER

  4. 18. Convolution-compacted visiontransformers forprediction of localwall heat flux atmultiple Prandtlnumbers in turbulentchannel flow

    Master-uppsats, KTH/Skolan för teknikvetenskap (SCI)

    Författare :Yuning Wang; [2023]
    Nyckelord :Turbulent flow; Heat transfer; Vision transformer; Convolutional neural network; Machine learning;

    Sammanfattning : Predicting wall heat flux accurately in wall-bounded turbulent flows is critical for a variety of engineering applications, including thermal management systems and energy-efficient designs. Traditional methods, which rely on expensive numerical simulations, are hampered by increasing complexity and extremly high computation cost. LÄS MER

  5. 19. Demand Forecasting of Outbound Logistics Using Neural Networks

    Master-uppsats, Malmö universitet/Fakulteten för teknik och samhälle (TS)

    Författare :Enobong Paul Otuodung; Gulten Gorhan; [2023]
    Nyckelord :Time Series Prediction; Demand Forecasting; Outbound Logistics; Machine Learning; Deep Learning; Univariate Forecasting; Multivariate Forecasting; Multi-Step Forecasting; LSTM; CNN-LSTM; ConvLSTM; Encoder-Decoder; Design science; Design science;

    Sammanfattning : Long short-term volume forecasting is essential for companies regarding their logistics service operations. It is crucial for logistic companies to predict the volumes of goods that will be delivered to various centers at any given day, as this will assist in managing the efficiency of their business operations. LÄS MER

  7. 20. Numerical Simulations of Resonant Tunnelling Diodes

    Kandidat-uppsats, KTH/Skolan för teknikvetenskap (SCI)

    Författare :Love Sundström; Alexander Holmström Janeld; [2023]
    Nyckelord :Quantum mechanics; numerical methods; resonant tunnelling diode;

    Sammanfattning : In this thesis, four different numerical techniques are implemented for the purpose of simulating resonant tunnelling diodes (RTDs). The chosen methods were: piecewise constant transfer matrix (TMM-C), piecewise linear transfer matrix (TMM-L), quantum transmitting boundary method (QTBM), and the Crank-Nicolson method (CN). LÄS MER