Sökning: "iron loss model"

Visar resultat 1 - 5 av 12 uppsatser innehållade orden iron loss model.

  1. 1. Development of an Investigation Method to Analyse Effect of Laser Cutting on Iron Losses in an Electric Machine

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Rishabh Raj; [2022]
    Nyckelord :Electrical machine; iron losses; laser cutting; loss models; manufacturing defects; single sheet tester; Elektrisk maskin; järnförluster; laserskärning; förlustmodeller; tillverkningsfel; enplåtsprovare;

    Sammanfattning : In this fast pace world, climate change is one of the primary concerns worldwide. The world is racing towards reducing CO2 emissions by focusing on decreasing energy consumption. Electric motors capture about two-third of the industrial energy consumption, of which the most growing sector is electrical vehicles. LÄS MER

  3. 2. Detecting Slag Formation with Deep Learning Methods : An experimental study of different deep learning image segmentation models

    Master-uppsats, Linköpings universitet/Datorseende

    Författare :Christian von Koch; William Anzén; [2021]
    Nyckelord :deep learning; deep neural network; computer vision; image segmentation; iron ore pelletising plant; furnace slag-detection; U-Net; PSPNet;

    Sammanfattning : Image segmentation through neural networks and deep learning have, in the recent decade, become a successful tool for automated decision-making. For Luossavaara-Kiirunavaara Aktiebolag (LKAB), this means identifying the amount of slag inside a furnace through computer vision. LÄS MER

  4. 3. FEM Simulation Study of Iron Losses for a Linear Generator

    Master-uppsats, Uppsala universitet/Institutionen för elektroteknik

    Författare :Pramod Hassan Kantharaj; [2021]
    Nyckelord :;

    Sammanfattning : Over the past few years, electricity generation from renewable resources has increased. Power generation from the ocean waves is also one among them. The technology consists of many subsystems. Generators are considered the heart of the entire subsystem or technology. LÄS MER

  5. 4. Experimental study of the temperature profile in an iron ore pellet during reduction using hydrogen gas

    Master-uppsats, KTH/Materialvetenskap

    Författare :Julia Brännberg Fogelström; [2020]
    Nyckelord :Iron ore; Iron oxide; Hematite pellet; Hydrogen reduction; Reduction; Intraparticle temperature; Temperature effect; Temperature profile; Järnmalm; Järnoxid; Hematitpellet; Vätgasreduktion; Reduktion; Invändig temperatur; Temperatureffekt; Temperaturprofil;

    Sammanfattning : We are facing an important challenge, to reduce the greenhouse gas emissions to make sure that we limit global warming to 2 °C, preferably 1.5 °C. Drastic changes and developing new methods may be our only chance to keep global warming under 1.5 °C. LÄS MER

  7. 5. Machine Learning-based Quality Prediction in the Froth Flotation Process of Mining : Master’s Degree Thesis in Microdata Analysis

    Master-uppsats, Högskolan Dalarna/Mikrodataanalys

    Författare :Eric Kwame Osei; [2019]
    Nyckelord :Froth Flotation; Machine Learning; Random Forest; Multiple Linear Regression; Artificial Neural Network;

    Sammanfattning : In the iron ore mining fraternity, in order to achieve the desired quality in the froth flotation processing plant, stakeholders rely on conventional laboratory test technique which usually takes more than two hours to ascertain the two variables of interest. Such a substantial dead time makes it difficult to put the inherent stochastic nature of the plant system in steady-state. LÄS MER