Results 71 to 80 of about 2,590 (211)

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

Practice and Exploration on Raising Scrap Ration during Steelmaking with V-Ti Hot Metal

open access: yesTeshugang, 2018
Xichang company's steelmaking plant adopts duplex steelmaking process which includes vanadiuniextrac- ting and steelmaking. In the process, vanadium extracting reduces the total heat. After vanadium extracting, the product is called semi-steel.
张彦恒, 周海龙, 喻林, 卓钧
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

Exergy Analysis on a 60 t DC Electric Arc Furnace Steelmaking Process

open access: yesTeshugang, 2009
Based on fundamental process theory for modern electric arc furnace steelmaking (EAF) , the thermo chemistry calculating model and exergitic model to describe EAF steelmaking process have been established, by which the simulation of steelmaking process ...
陈煜   +4 more
doaj  

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

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

Carbon dioxide sequestration through steel slag carbonation: Review of mechanisms, process parameters, and cleaner upcycling pathways

open access: yesJournal of CO2 Utilization
The direct carbonation of steel slag has emerged as a promising approach for carbon dioxide (CO2) utilization and sequestration, holding potential for advancing sustainable steel production.
Christopher DiGiovanni   +2 more
doaj   +1 more source

Double Slag Operating Standard for Mitigation of CO2 Emissions in Basic Oxygen Steelmaking

open access: yessteel research international, EarlyView.
Basic oxygen furnace (BOF) steelmaking uses a double slag process (DSP) to produce low‐phosphorus steel. To reduce carbon emissions in a BOF, the hot metal ratio (HMR) must be lowered. The present article describes the optimal conditions for DSP operations under low‐HMR conditions: temperature of 1360 ± 5 °C, total Fe content of 10 ± 2 wt%, basicity (=
Kyung Hwan Kim, Joo Hyun Park
wiley   +1 more source

Prediction of Final Phosphorus Content of Steel in a Scrap-Based Electric Arc Furnace Using Artificial Neural Networks

open access: yesMetals
The scrap-based electric arc furnace process is expected to capture a significant share of the steel market in the future due to its potential for reducing environmental impacts through steel recycling.
Riadh Azzaz   +3 more
doaj   +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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