[HTML][HTML] Interpretable modeling of metallurgical responses for an industrial coal column flotation circuit by XGBoost and SHAP-A “conscious-lab” development

SC Chelgani, H Nasiri, M Alidokht - International Journal of Mining Science …, 2021 - Elsevier
Surprisingly, no investigation has been explored relationships between operating variables
and metallurgical responses of coal column flotation (CF) circuits based on industrial …

Modeling of energy consumption factors for an industrial cement vertical roller mill by SHAP-XGBoost: a" conscious lab" approach

R Fatahi, H Nasiri, E Dadfar, S Chehreh Chelgani - Scientific Reports, 2022 - nature.com
Cement production is one of the most energy-intensive manufacturing industries, and the
milling circuit of cement plants consumes around 4% of a year's global electrical energy …

An intelligent sensing system for estimation of efficiency of carbon-capturing unit in a cement plant

UK Jadoon, I Ahmad, T Noor, M Kano… - Journal of Cleaner …, 2022 - Elsevier
In this study, an artificial intelligence-based framework was developed to monitor the
efficiency of the carbon capture unit, ie, the Sour Compression Unit (SCU) and a cryogenic …

[HTML][HTML] CatBoost-SHAP for modeling industrial operational flotation variables–A “conscious lab” approach

SC Chelgani, A Homafar, H Nasiri - Minerals Engineering, 2024 - Elsevier
Flotation separation is the most important upgrading critical raw material technique.
Measuring interactions within flotation variables and modeling their metallurgical responses …

A cement Vertical Roller Mill modeling based on the number of breakages

R Fatahi, A Pournazari, MP Shah - Advanced Powder Technology, 2022 - Elsevier
This study investigated a mathematical model for an industrial-scale vertical roller mill (VRM)
at the Ilam Cement Plant in Iran. The model was calibrated using the initial survey's data …

Prediction and optimization of emissions in cement manufacturing plant under uncertainty by using artificial intelligence-based surrogate modeling

M Usman, I Ahmad, M Ahsan, H Caliskan - Environment, Development …, 2024 - Springer
Uncertainties in the process industries are the biggest challenge for smooth operation. This
study is based on the use of artificial intelligence based surrogate modeling for predicting …

Quality Control of Cement Clinker through Operating Condition Classification and Free Calcium Oxide Content Prediction

X Lyu, D Chu, X Lu, J Mu, Z Zhang, D Yun - Applied Sciences, 2024 - mdpi.com
Recent advances in artificial intelligence (AI) technologies such as deep learning open up
new opportunities for various industries, such as cement manufacturing, to transition from …

Modeling and optimization of PEA-combined grinding aids effect in grinding circuit of cement ball mill

A Pournazari, H Ghorbani, MP Shah, H Abdollahi - 2023 - researchsquare.com
In this study, while introducing the new combination of by-products of petrochemical
companies as a GAs and their combination with water, the optimization and modeling of …