Results 51 to 60 of about 895 (182)

Characterization of Ladle Furnace Slag from Carbon Steel Production as a Potential Adsorbent

open access: yesAdvances in Materials Science and Engineering, 2013
A promising type of steel slag for applications is the ladle furnace (LF) slag, which is also known as the basic slag, the reducing slag, the white slag, and the secondary refining slag. The LF slag is a byproduct from further refining molten steel after
Ankica Rađenović   +2 more
doaj   +1 more source

Recycling of Mill Scale Into High‐Purity Iron Through Hydrogen‐Based Reduction

open access: yessteel research international, EarlyView.
Mill scale, an iron oxide–rich steel by‐product, is difficult to recycle due to impurities. This study evaluates hydrogen‐based direct reduction and hydrogen plasma smelting reduction as low‐carbon recycling routes. Impurity segregation limits reduction kinetics. Direct reduction achieves 92% conversion in 180 min, while plasma reduction reaches 91% in
Nathalia C. Verissimo   +8 more
wiley   +1 more source

Utilization of steelmaking slag in cement clinker production: A review

open access: yesJournal of CO2 Utilization
The cement industry significantly contributes to global CO2 emissions, with a notable portion attributed to limestone calcination during cement clinker production. To promote carbon-neutral building practices, alternative approaches are being explored to
Geun U. Ryu   +3 more
doaj   +1 more source

Development and Validation of a Next‐Generation Mechanistic Model of the Electric Arc Furnace

open access: yessteel research international, EarlyView.
This study presents a next‐generation mechanistic model of the electric arc furnace (EAF). It describes equations for all crucial processes appearing during the steel‐recycling process in an EAF, i.e., thermal, mass, and chemical. The model was parameterized and validated using industrial EAF data.
Vito Logar, Igor Škrjanc
wiley   +1 more source

Utilizing of the metallurgical slag for production of cementless concrete mixtures

open access: yesMetalurgija, 2012
In process of pig iron, steel and cast iron production besides main product, also secondary products are formed, that have character of secondary raw materials and industrial wastes.
D. Baricová   +4 more
doaj  

Reducing the use of Fossil Carbon and Fuels to Defossilize the Electric Steelmaking Route: Evaluation of the Effects of Alternative C‐Bearing Materials and Hydrogen in the Electric Arc Furnace

open access: yessteel research international, EarlyView.
The experiments and simulations demonstrate that, in general, alternative carbon sources can decrease fossil CO2 without adversely impacting EAF process and product. High plastics and tires ratios cause unsafe conditions and poor slag foaming. Hydrogen in EAF burners decreases CO2 but increases water vapor, which can raise the hydrogen content in ...
Ismael Matino   +7 more
wiley   +1 more source

A Novel Approach to Energy Management in Electric Steelworks

open access: yessteel research international, EarlyView.
Feed‐forward neural networks are exploited to estimate electric energy consumptions of the electric arc furnace and ladle furnace processes. The models are used to optimize production schedule so that more energy intensive grades are produced when the cost of energy is lower.
Valentina Colla   +12 more
wiley   +1 more source

Immobilization of zinc from metallurgical waste and water solutions using geopolymerization technology

open access: yesE3S Web of Conferences, 2014
Geopolymeraization technology is recognized as a promising method for immobilization of heavy metals by the stabilization or solidification process. This process involves the chemical reaction of alumino-silicate oxides with highly alkaline activator ...
Nikolići I.   +4 more
doaj   +1 more source

Decreasing the Environmental Impact of the Electric Steelmaking Route Through Advanced Modelling Techniques

open access: yessteel research international, EarlyView.
Ensemble models are adopted to estimate the sterile content of scraps arriving to the scrap yard. Feed‐forward neural networks are exploited to estimate steel composition and temperature after Ladle furnace. The models are validated on data from two steelworks very satisfactory results and are inherently transferable to other steelworks, as they are ...
Valentina Colla   +7 more
wiley   +1 more source

Modeling the Thermal Properties of Hydrogen‐Based Direct Reduced Iron Using Computational Thermodynamics and Machine Learning

open access: yessteel research international, EarlyView.
Hydrogen‐based direct reduced iron (H‐DRI) melts differently from scrap and carbon‐bearing DRI. This work combines differential scanning calorimetry experiments, FactSage thermodynamics, and simple composition‐based regression to predict solidus, liquidus, heat capacity, and enthalpy for H‐DRI.
Ankur Agnihotri   +3 more
wiley   +1 more source

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