A correlation for optimal steam-to-fuel ratio in a biogas-fueled solid oxide fuel cell with internal steam reforming by using Artificial Neural Networks

M Mehrabian, J Mahmoudimehr - Renewable Energy, 2023 - Elsevier
It is a challenge to find the optimal amount of water steam to be added to the fuel in a biogas-
fueled solid oxide fuel cell (SOFC). An under-optimal steam fraction impedes steam …

A novel committee machine to predict the quantity of impurities in hot metal produced in blast furnace

W Cardoso, R Di Felice - Computers & chemical engineering, 2022 - Elsevier
In recent years, interest in artificial intelligence and the integration of Industry 4.0
technologies to improve and monitor steel production conditions has increased. Every day …

[PDF][PDF] Modeling of artificial neural networks for silicon prediction in the cast iron production process

W Cardoso, R Di Felice, BN Dos Santos… - … journal of artificial …, 2022 - researchgate.net
The main way to produce cast iron is in the blast furnace. In the production of hot metal, the
control of silicon is important. Alumina and silica react chemically with limestone and …

Perspectives on the Sustainable Steel Production Process: A Critical Review of the Carbon Dioxide (CO2) to Methane (CH4) Conversion Process

W Cardoso, R Di Felice, RC Baptista - Sustainability: Cases and Studies in …, 2023 - Springer
Synthetic natural gas (SNG) can be obtained by methanation. Many thermodynamic reaction
details involved in this process are not yet fully known. In this chapter, a comprehensive …

Deposition of ti-based thin films on AISI 1020 steel substrates using the cathodic cage plasma deposition technique

RFB Silva, W Cardoso, LC Gontijo, BP Pimentel… - Materials …, 2023 - SciELO Brasil
The automotive industry is one of the largest industrial segments in the world market. The
exhaust system of motor vehicles is responsible for the emission and treatment of toxic …

Evaluation of the use of blast furnace slag as an additive in mortars

W Cardoso, R Felice, RC Baptista… - REM-International …, 2022 - SciELO Brasil
Clinker is the raw material used in the manufacture of cement. However, this material is very
harmful to the environment, since it is estimated that for every ton of clinker produced, about …

Forecast of carbon consumption of a blast furnace using extreme learning machine and probabilistic reasoning

W Cardoso, R Di Felice - Chemical Engineering Transactions, 2022 - cetjournal.it
Blast furnaces are chemical metallurgical reactors for the production of pig iron and slag.
The raw materials used (metallic feedstock) are sinter, granulated ore and pellets. The main …

Improving the Efficiency of Open Cathode PEM Fuel Cell Through Hydrogen Flow Control Using Wavelet-Clipping

T Pangaribowo, WM Utomo, AH Budiman… - Journal of Robotics …, 2024 - journal.umy.ac.id
Open cathode proton exchange membrane fuel cells (OC-PEMFC) are devices that produce
electrical energy through an electrochemical reaction between hydrogen and oxygen gas …

[PDF][PDF] Prediction of Sulfur in the Hot Metal based on Data Mining and Artificial Neural Networks.

W Cardoso, R di Felice - DATA, 2022 - scitepress.org
In recent years, interest in artificial intelligence and the integration of Industry 4.0
technologies to improve and monitor steel production conditions has increased. In the …

Optimum Load Of a Proton Exchange Membrane Fuel Cells Based on Hydrogen Flow Control

T Pangaribowo, WM Utomo… - … Series: Earth and …, 2023 - iopscience.iop.org
In the future, proton exchange membrane fuel cells system (PEMFCs) hold promises for
clean energy. However, there is a problem that causes the degradation in PEMFC system …