Ventilation Prediction for an Industrial Cement Raw Ball Mill by BNN—A “Conscious Lab” Approach
In cement mills, ventilation is a critical key for maintaining temperature and material transportation. However, relationships between operational variables and ventilation factors for an industrial cement ball mill were not addressed until today. This investigation is going to fill this gap based o...
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doaj-a503d2df07ad4e0e8d311d2ebff5526b2021-06-30T23:53:10ZengMDPI AGMaterials1996-19442021-06-01143220322010.3390/ma14123220Ventilation Prediction for an Industrial Cement Raw Ball Mill by BNN—A “Conscious Lab” ApproachRasoul Fatahi0Rasoul Khosravi1Hossein Siavoshi2Samaneh Yazdani3Esmaiel Hadavandi4Saeed Chehreh Chelgani5School of Mining Engineering, College of Engineering, University of Tehran, Tehran 16846-13114, IranDepartment of Mining, Faculty of Engineering, Lorestan University, Khorramabad 68151-44316, IranDepartment of Mining and Geological Engineering, University of Arizona, Tucson, AZ 85721, USADepartment of Electrical and Computer Engineering, North Tehran Branch, Islamic Azad University, Tehran 16511-53311, IranDepartment of Industrial Engineering, Birjand University of Technology, Birjand 97198-66981, IranMinerals and Metallurgical Engineering, Department of Civil, Environmental and Natural Resources Engineering, Luleå University of Technology, SE-971 87 Luleå, SwedenIn cement mills, ventilation is a critical key for maintaining temperature and material transportation. However, relationships between operational variables and ventilation factors for an industrial cement ball mill were not addressed until today. This investigation is going to fill this gap based on a newly developed concept named “conscious laboratory (CL)”. For constructing the CL, a boosted neural network (BNN), as a recently developed comprehensive artificial intelligence model, was applied through over 35 different variables, with more than 2000 records monitored for an industrial cement ball mill. BNN could assess multivariable nonlinear relationships among this vast dataset, and indicated mill outlet pressure and the ampere of the separator fan had the highest rank for the ventilation prediction. BNN could accurately model ventilation factors based on the operational variables with a root mean square error (RMSE) of 0.6. BNN showed a lower error than other traditional machine learning models (RMSE: random forest 0.71, support vector regression: 0.76). Since improving the milling efficiency has an essential role in machine development and energy utilization, these results can open a new window to the optimal designing of comminution units for the material technologies.https://www.mdpi.com/1996-1944/14/12/3220cementball millconscious laboratoryrandom forestsupport vector regression |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Rasoul Fatahi Rasoul Khosravi Hossein Siavoshi Samaneh Yazdani Esmaiel Hadavandi Saeed Chehreh Chelgani |
spellingShingle |
Rasoul Fatahi Rasoul Khosravi Hossein Siavoshi Samaneh Yazdani Esmaiel Hadavandi Saeed Chehreh Chelgani Ventilation Prediction for an Industrial Cement Raw Ball Mill by BNN—A “Conscious Lab” Approach Materials cement ball mill conscious laboratory random forest support vector regression |
author_facet |
Rasoul Fatahi Rasoul Khosravi Hossein Siavoshi Samaneh Yazdani Esmaiel Hadavandi Saeed Chehreh Chelgani |
author_sort |
Rasoul Fatahi |
title |
Ventilation Prediction for an Industrial Cement Raw Ball Mill by BNN—A “Conscious Lab” Approach |
title_short |
Ventilation Prediction for an Industrial Cement Raw Ball Mill by BNN—A “Conscious Lab” Approach |
title_full |
Ventilation Prediction for an Industrial Cement Raw Ball Mill by BNN—A “Conscious Lab” Approach |
title_fullStr |
Ventilation Prediction for an Industrial Cement Raw Ball Mill by BNN—A “Conscious Lab” Approach |
title_full_unstemmed |
Ventilation Prediction for an Industrial Cement Raw Ball Mill by BNN—A “Conscious Lab” Approach |
title_sort |
ventilation prediction for an industrial cement raw ball mill by bnn—a “conscious lab” approach |
publisher |
MDPI AG |
series |
Materials |
issn |
1996-1944 |
publishDate |
2021-06-01 |
description |
In cement mills, ventilation is a critical key for maintaining temperature and material transportation. However, relationships between operational variables and ventilation factors for an industrial cement ball mill were not addressed until today. This investigation is going to fill this gap based on a newly developed concept named “conscious laboratory (CL)”. For constructing the CL, a boosted neural network (BNN), as a recently developed comprehensive artificial intelligence model, was applied through over 35 different variables, with more than 2000 records monitored for an industrial cement ball mill. BNN could assess multivariable nonlinear relationships among this vast dataset, and indicated mill outlet pressure and the ampere of the separator fan had the highest rank for the ventilation prediction. BNN could accurately model ventilation factors based on the operational variables with a root mean square error (RMSE) of 0.6. BNN showed a lower error than other traditional machine learning models (RMSE: random forest 0.71, support vector regression: 0.76). Since improving the milling efficiency has an essential role in machine development and energy utilization, these results can open a new window to the optimal designing of comminution units for the material technologies. |
topic |
cement ball mill conscious laboratory random forest support vector regression |
url |
https://www.mdpi.com/1996-1944/14/12/3220 |
work_keys_str_mv |
AT rasoulfatahi ventilationpredictionforanindustrialcementrawballmillbybnnaconsciouslabapproach AT rasoulkhosravi ventilationpredictionforanindustrialcementrawballmillbybnnaconsciouslabapproach AT hosseinsiavoshi ventilationpredictionforanindustrialcementrawballmillbybnnaconsciouslabapproach AT samanehyazdani ventilationpredictionforanindustrialcementrawballmillbybnnaconsciouslabapproach AT esmaielhadavandi ventilationpredictionforanindustrialcementrawballmillbybnnaconsciouslabapproach AT saeedchehrehchelgani ventilationpredictionforanindustrialcementrawballmillbybnnaconsciouslabapproach |
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