Results 111 to 120 of about 22,963 (264)
Optimizing Pig Iron Desulfurization Using Physics-Informed Neural Networks (PINNs)
Engineering ProceedingsThe aim of the presented research was to optimize a pig iron desulfurization process through data-driven machine learning methods. Utilizing historical data, chemical analysis of pig iron and slag, and the thermodynamics of the process including ...
Andrii Pylypenko +6 more
doaj +1 more source
Current Situation and Prospects of Resource Application of CO2 in Steelmaking Process
Teshugang, 2023 Using CO2 in steelmaking process can realize the utilization of CO2 resources， which is a green， low cost， high efficiency and easy to achieve smelting technology.
Deng Haohua, Peng Feng, Li Xiao
doaj
steel 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
steel 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
steel 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
End point prediction of basic oxygen furnace (BOF) steelmaking based on improved bat-neural network
Metalurgija, 2019 A mixed bat optimization algorithm based on chaos and differential evolution (CDEBA) is proposed for the endblow process of basic oxygen furnance (BOF) after sub-lance detection, and a prediction model based on BP neural network optimized by chaotic ...
H. Liu, S. Yao
doaj
The impact of firm characteristics on plant closing decisions [PDF]
An examination of the plant-closing decisions of integrated steel firms in the United States from 1977-1987 to determine whether firm characteristics influenced either the probability or the timing of a plant's closing during this decade of significant ...
Mary E. Deily
core
Double Slag Operating Standard for Mitigation of CO2 Emissions in Basic Oxygen Steelmaking
steel 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
For Our Information, June 1958, Vol. X, no. 9 [PDF]
, 1958 An official publication of the ILR School, Cornell University, “for the information of all faculty, staff and students.
ILR School, Cornell University
core +1 more source
steel 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