Kiln predictive modelization for performance optimization

The process of cement manufacturing is both energy intensive and difficult to control. This complicated process results in inefficiencies in energy consumption and variations in cement quality with many complex influencing process factors such as input raw materials, variable fuels, firing condition...

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Veröffentlicht in:	International journal of advanced manufacturing technology 2023-07, Vol.127 (3-4), p.1333-1339
Hauptverfasser:	Toum Benchekroun, Mohammed, Zaki, Smail, Aboussaleh, Mohamed
Format:	Artikel
Sprache:	eng
Schlagworte:	CAE) and Design Clinker Computer-Aided Engineering (CAD Energy consumption Engineering Feed rate Industrial and Production Engineering Kilns Machine learning Mechanical Engineering Media Management Neural networks Optimization Original Article Performance prediction Prediction models Process parameters Raw materials Reduction Regression analysis Regression models Regularization
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