Search for dissertations about: "Electric Arc Furnace"
Showing result 1 - 5 of 27 swedish dissertations containing the words Electric Arc Furnace.
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1. Applied Machine Learning in Steel Process Engineering : Using Supervised Machine Learning Models to Predict the Electrical Energy Consumption of Electric Arc Furnaces
Abstract : 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. READ MORE
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2. Application of Process Integration for Electric Arc Steelmaking
Abstract : In today`s steel industry about one third of the total steel production is produced by electric arc steel making. The production of steel is a very energy intensive industry, but when considering the total cost of the final steel mill product, it is the cost of raw materials that are dominating. READ MORE
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3. Minimisation of Chromium Leaching from Low-Alloy Electric Arc Furnace Slag by Mineral Modifications
Abstract : Iron and steel are produced continuously as a vital part of modern life. The largest by-product of metal production is slag. Slag is an essential part of the production of steel since, in the furnace, the molten slag removes impurities from the metal. When the slag which consists of oxides, solidifies minerals form. READ MORE
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4. Management of technology in the process industries: Matching market and machine
Abstract : The process industries span multiple industrial sectors and constitute a substantial part of the entire manufacturing industry. Since companies belonging to this family of industries are often very asset intensive, their ability to respond to changes is often limited in the short term. READ MORE
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5. Energy and scrap optimisation of electric arc furnaces by statistical analysis of process data
Abstract : Modern process logging systems for electric arc furnaces have the capability of storing large quantities of data, both in terms of variables and number of heats. The objective of this research is to evaluate how this data can be used for improvement of operating practices and optimisation of energy and scrap utilisation. READ MORE