Sökning: "skrot"

Visar resultat 1 - 5 av 8 avhandlingar innehållade ordet skrot.

  1. 1. Recirculation of scrapped resources : The role of material information in enhancing the sustainability of recycling

    Författare :Reinol Josef Compañero; Andreas Feldmann; Peter Samuelsson; Pär Jönsson; Guozhu Ye; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Steel recycling; anthropogenic resources; scrap; value of information; Circular Economy; sustainability; Stål återvinning; antropogena resurser; skrot; cirkulär ekonomi; hållbarhet; Materials Science and Engineering; Teknisk materialvetenskap;

    Sammanfattning : Industries have responded to the climate change problem by positioning their activities as compatible with concepts such as the Circular Economy. Conveying the idea of maximizing and keeping the resources in a manner that aligns with the principles of sustainable development, the endorsements for implementing circularity measures has arguably become a boon for businesses. LÄS MER

  3. 2. Model Developments to Study Some Aspects of Improving Efficiencies in EAF Plants

    Författare :Niloofar Arzpeyma; Mikael Ersson; Lauri Holappa; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY;

    Sammanfattning : The aim of this thesis is to investigate some aspects of improvements with respect to the energy consumption and raw material selection as well as the understanding of the influence of uncertainties on the performance in electric arc furnace (EAF) plants. The effect of electromagnetic stirring on the scrap melting and post combustion capacity are investigated in two EAFs by using computation fluid dynamic (CFD) models. LÄS MER

  4. 3. Assessment of Raw Materials in Stainless Steelmaking-Their Energy Consumption and Greenhouse Gas Emission

    Författare :Wei Wenjing; Anders Tilliander; Peter Samuelsson; Pär Jönsson; Ye Guozhu; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; static process model; mass and energy balance; molybdenum; nickel; phosphorus; stainless steel; life cycle assessment; GHG emission; energy consumption; statisk procesmodell; mass- och energibalans; molybden; nickel; fosfor; rostfritt stål; livscykelanalys; växthusgasutsläpp; energiförbrukning; Metallurgical process science; Metallurgisk processvetenskap;

    Sammanfattning : In stainless steelmaking, around 68% of the total greenhouse gas emissions come from the processing of raw materials. Thus, it is important for steelmakers to make efforts together with their raw material suppliers to implement low-carbon initiatives. To facilitate such initiatives, assessment of raw materials will provide guidance. LÄS MER

  5. 4. Mathematical and Experimental Study on Filtration of Solid Inclusions from Molten Aluminium and Steel

    Författare :Shahin Akbarnejad; Pär Jönsson; Dong-Yuan Sheng; Björn Glaser; Torbjörn Carlberg; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Filtration; Porous Media; Permeability; Water modeling; Fluid Bypassing; Stacked Filters; Ceramic Foam Filter; Monolithic Ceramic Filter; Alumina CFF; Particle Tracing; Aluminum Filtration; Steel Filtration; CFD; Alumina Inclusion; Filtrering; porösa medier; permeabilitet; vattenmodellering; vätskebypass; staplade filter; keramiskt skumfilter; monolitiskt keramiskt filter; aluminiumoxid CFF; partikelspårning; aluminiumfiltrering; stålfiltrering; CFD; aluminiumoxidinkludering; Materials Science and Engineering; Teknisk materialvetenskap;

    Sammanfattning : Aluminum and steel have been the most produced metal and alloy, respectively, for many years. Their extensive use in various industries, their fundamental role in our everyday life, and their excellent recycling characteristics are the major driving forces for development of their production towards more sustainable processes. LÄS MER

  7. 5. Applied Machine Learning in Steel Process Engineering : Using Supervised Machine Learning Models to Predict the Electrical Energy Consumption of Electric Arc Furnaces

    Författare :Leo Carlsson; Pär Jönsson; Peter Samuelsson; Mikael Vejdemo-Johansson; Henrik Saxen; KTH; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Electric Arc Furnace; Electrical Energy Consumption; Statistical Modelling; Machine Learning; Interpretable Machine Learning; Predictive Modelling; Industry 4.0; Ljusbågsugn; Elenergiförbrukning; Statistisk Modellering; Maskininlärning; Tolkningsbar Maskininlärning; Prediktiv Modellering; Industri 4.0; Teknisk materialvetenskap; Materials Science and Engineering; Metallurgical process science; Metallurgisk processvetenskap;

    Sammanfattning : The steel industry is in constant need of improving its production processes. This is partly due to increasing competition and partly due to environmental concerns. One commonly used method for improving these processes is through the act of modeling. LÄS MER