Sökning: "mikrostrukturer"

Visar resultat 1 - 5 av 24 uppsatser innehållade ordet mikrostrukturer.

  1. 1. Iron Pieces from The Copper Wreck : An archaeometallurgical analysis of iron bars, billets and osmund iron found in Gdansk, Poland

    Kandidat-uppsats, KTH/Materialvetenskap

    Författare :Mikael Ghaysari; Benjamin Tiberghien; Maximilian Åkerblom Jonsson; [2022]
    Nyckelord :The Copper wreck; W5; Miedsiowiec; Osmund; Slag analysis; SEM; EDS; LOM; Medieval iron production; Blast furnace; Indirect reduction; Direct reduction; Kopparvraket; W5; Miedsiowiec; Osmund; Slagg; SEM; EDS; LOM; Medeltida järnproduktionen; Masugn; Indirekt reduktion; Direkt reduktion;

    Sammanfattning : The topic of osmund iron is of great interest in both historical and metallurgical perspective. Between the 14th and the 17th century osmund iron was exported extensively from Sweden but it has been difficult to characterize and confirm what exactly osmund iron is. LÄS MER

  3. 2. The Effect of Process Parameters on Columnar-To-Equiaxed-Transition (CET) During Electron Beam-Powder Bed Fusion of Ferritic Stainless Steel

    Master-uppsats, KTH/Materialvetenskap

    Författare :Doom Eleanor Ihensekhien; [2022]
    Nyckelord :Additive manufacturing; E-PBM; Inoculation; process parameters; TiN; CET;

    Sammanfattning : Electron Beam Powder Bed Fusion manufacturing of components is an additive manufacturing process that is complex and has widespread advantages for aerospace and many industrial processes. It reduces costs and has a larger powder particle size requirement. LÄS MER

  4. 3. Automatic segmentation of microstructures in metals : A computer vision approach

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

    Författare :Oscar Larsen; [2022]
    Nyckelord :Image Processing; Computer Vision; Machine Learning; Deep Learning; Metallurgy; Segmentation; Bildbehandling; Datorseende; Maskininlärning; Djupinlärning; Metallurgi; Segmentering;

    Sammanfattning : The microstructures of a metal determine the physical, electrical and chemical properties of the metal, and analysis of microstructures is therefore an important part of materials science. Modern microscopes are capable of generating a lot of high-quality micrographs in a short period of time. LÄS MER

  5. 4. Machine Learning Methods for Segmentation of Complex Metal Microstructure Features

    Master-uppsats, KTH/Materialvetenskap

    Författare :Daniel Fredriksson; [2022]
    Nyckelord :Machine learning; Metallography; Automatic segmentation; Complex microstructures; Random Forest classifier.; Maskininlärning; Metallografi; Automatisk segmentering; Komplex mikrostruktur; Random Forest klassificerare;

    Sammanfattning : Machine learning is a growing topic with possibilities that seems endless with growing areas of applications. The field of metallography today is highly dependent on the operators’ knowledge and technical equipment to perform segmentation and analysis of the microstructure. Having expert dependents is both costly and very time-consuming. LÄS MER

  7. 5. Metallurgical analysis of some osmund iron from Sweden and Estonia : A short historical review of medieval iron production and export

    Kandidat-uppsats, KTH/Materialvetenskap

    Författare :Ellinor Fischbein; Felicia Larsson; [2021]
    Nyckelord :;

    Sammanfattning : During the Middle Ages, Sweden was a coveted exporter of high-quality iron in Europe. Bloomery furnaces could have produced osmund iron. However, most osmund iron was produced in blast furnaces. The iron was then treated in the finery process and cut into pieces. LÄS MER