[HTML][HTML] Two decades of blackbox optimization applications

S Alarie, C Audet, AE Gheribi, M Kokkolaras… - EURO Journal on …, 2021 - Elsevier
This article reviews blackbox optimization applications of direct search optimization methods
over the past twenty years. Emphasis is placed on the Mesh Adaptive Direct Search (Mads) …

Reprint of: FactSage thermochemical software and databases, 2010–2016

CW Bale, E Bélisle, P Chartrand, SA Decterov… - Calphad, 2016 - Elsevier
The FactSage computer package consists of a series of information, calculation and
manipulation modules that enable one to access and manipulate compound and solution …

A survey of data-driven soft sensing in ironmaking system: Research status and opportunities

F Yan, L Kong, Y Li, H Zhang, C Yang, L Chai - ACS omega, 2024 - ACS Publications
Data-driven soft sensing modeling is becoming a powerful tool in the ironmaking process
due to the rapid development of machine learning and data mining. Although various soft …

Modeling and simulation of hydrogen injection into a blast furnace to reduce carbon dioxide emissions

C Yilmaz, J Wendelstorf, T Turek - Journal of Cleaner Production, 2017 - Elsevier
In light of climate change and the desired transition toward a sustainable energy system, the
reduction of greenhouse gas emissions must be a goal for all economic sectors. The steel …

Evaluation of machine learning interpolation techniques for prediction of physical properties

E Bélisle, Z Huang, S Le Digabel, AE Gheribi - Computational Materials …, 2015 - Elsevier
A knowledge of the physical properties of materials as a function of temperature,
composition, applied external stresses, etc. is an important consideration in materials and …

Behavior of Chromium, Nickel, Lead, Zinc, Cadmium, and Mercury in the Blast Furnace A Critical Review of Literature Data and Plant Investigations

V Trinkel, O Mallow, C Thaler, J Schenk… - Industrial & …, 2015 - ACS Publications
Blast furnaces have a huge turnover of materials. Besides the transformation of the main
elements iron and carbon, a large variety of other elements (present at low concentrations in …

On the prediction of low-cost high entropy alloys using new thermodynamic multi-objective criteria

AE Gheribi, AD Pelton, E Bélisle, S Le Digabel… - Acta Materialia, 2018 - Elsevier
In an attempt to identify new low-cost metallic materials with interesting thermo-physical
properties from the Fe-Cr-Mn-Ni-V-Ti-Al-(Co-Mo) system, we present here an original tool for …

Determination of optimal compositions and properties for phase change materials in a solar electric generating station

AE Gheribi, AD Pelton, JP Harvey - Solar Energy Materials and Solar Cells, 2020 - Elsevier
Abstract Thermal Energy Storage (TES) systems coupled to thermodynamic power cycles
capable of generating electrical work are becoming strategic technologies of the future. The …

Modelling the surface tension of liquid metals as a function of oxygen content

AE Gheribi, MV des Roches, P Chartrand - Journal of Non-Crystalline …, 2019 - Elsevier
The surface tension of liquid metals depends strongly on atmosphere conditions, in
particular on the partial pressure of oxygen, on top of temperature. Predicting the surface …

Factsage studies to identify the optimum slag regime for blast furnace operation

K Das, A Agrawal, AS Reddy, RV Ramna - … of the Indian Institute of Metals, 2021 - Springer
Decreasing the slag rate can lead to a lower fuel rate and higher productivity in the blast
furnace (BF). Indian iron ore is known to have adverse alumina–silica ratio. Therefore, to …