Search for dissertations about: "Machine learning in heat transfer"

Found 5 swedish dissertations containing the words Machine learning in heat transfer.

  2. 1. Machine learning for building energy system analysis

    Author : Fan Zhang; Johan Håkansson; Chris Bales; Stefan Byttner; Högskolan Dalarna; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; district heating; machine learning; deep learning; HVAC; neural networks;

    Abstract : Buildings account for approximately 40% of the global energy, and Heating, Ventilation, and Air Conditioning (HVAC) contributes to a large proportion of building energy consumption. Two main negative characteristics that contribute to performance degradation and energy waste in an HVAC system are inappropriate control strategies and faults. READ MORE

  4. 2. Data-Driven Techniques for Fluid Mechanics and Heat Transfer

    Author : Jerol Soibam; Rebei Bel Fdhila; Konstantinos Kyprianidis; Ioanna Aslanidou; Ricardo Vinuesa Motilva; Mälardalens universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Fluid mechanics; Heat Transfer; Machine Learning; Deep Learning; Energy- and Environmental Engineering; energi- och miljöteknik;

    Abstract : One of the main challenges in fluid mechanics and heat transfer is the need for detailed studies andfast computational speed to monitor and optimise a system. These fluid/heat flows comprise time-dependent velocity, multi-scale, pressure, and energy fluctuations. READ MORE

  5. 3. Machine Learning Techniques for Enhanced Heat Transfer Modelling

    Author : Jerol Soibam; Rebei Bel Fdhila; Ioanna Aslanidou; Konstantinos Kyprianidis; Andrea Ianiro; Mälardalens universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Energy- and Environmental Engineering; energi- och miljöteknik;

    Abstract : With the continuous growth of global energy demand, processes from power generation to electronics cooling become vitally important. The role of heat transfer in these processes is crucial, facilitating effective monitoring, control, and optimisation. READ MORE

  6. 4. FE-Simulation of Metal Cutting Processes

    Author : Ahmet Semih Ertürk; Chalmers tekniska högskola; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Inverse identification; Machine learning; Metal cutting; Finite element method; Heat transfer; Machining;

    Abstract : Machining a new component or a new material requires the selection of the cutting conditions, the tool material and the tool geometry. The selections should be also optimized for the existing components and materials to improve the quality of the produced components and reduce the cost of production. READ MORE

  7. 5. Learning to Analyze what is Beyond the Visible Spectrum

    Author : Amanda Berg; Michael Felsberg; Jörgen Ahlberg; Robert Jenssen; Linköpings universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES;

    Abstract : Thermal cameras have historically been of interest mainly for military applications. Increasing image quality and resolution combined with decreasing camera price and size during recent years have, however, opened up new application areas. They are now widely used for civilian applications, e.g. READ MORE