Intelligent Real-Time Control Systems to Predict the Particle Size of Minerals Using Acoustics of Ball Mill
Produktnummer:
18bf48a7173739463dabb8195af85cfe4b
| Autor: | Bhaumik, Arup Kumar Sen, Sonali Sil, Jaya |
|---|---|
| Themengebiete: | Acoustics Digital Signal Processing Machine Learning Mineral Processing Particle Size Optimization Tumbling Mill |
| Veröffentlichungsdatum: | 08.07.2025 |
| EAN: | 9783031912894 |
| Sprache: | Englisch |
| Seitenzahl: | 165 |
| Produktart: | Gebunden |
| Verlag: | Springer International Publishing |
Produktinformationen "Intelligent Real-Time Control Systems to Predict the Particle Size of Minerals Using Acoustics of Ball Mill"
This book offers a single-resource reference on different analysis strategies of the ball mill acoustics. One of the major problems in the mining industry is the raw material wastage. The biggest challenge faced by the researchers is to install sensors to acquire meaningful data during the crushing operation due to huge dust and the presence of grinding media. The book aims to propose an intelligent system to predict the particle size distribution of the raw material in the closed-loop mill operation and stop the mill automatically by receiving the desired particle size ranges. The simulated results are validated with the experimental results, obtained from an instrumented lab-based ball mill. The acoustics of the running ball mill is considered as the key parameter which is a state of art in this field. This book will be useful for Researchers who work in the field of Digital signal processing.
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