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Intelligent real-time control systems to predict the particle size of minerals using acoustics of ball mill

Record Type:	Electronic resources : Monograph/item
Title/Author:	Intelligent real-time control systems to predict the particle size of minerals using acoustics of ball millby Jaya Sil, Arup Kumar Bhaumik, Sonali Sen.
Author:	Sil, Jaya.
other author:	Bhaumik, Arup Kumar.
Published:	Cham :Springer Nature Switzerland :2025.
Description:	xxiv, 165 p. :ill. (chiefly color), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Particle size determination.
Online resource:	https://doi.org/10.1007/978-3-031-91290-0
ISBN:	9783031912900$q(electronic bk.)

Intelligent real-time control systems to predict the particle size of minerals using acoustics of ball mill
Sil, Jaya.

Intelligent real-time control systems to predict the particle size of minerals using acoustics of ball mill[electronic resource] /by Jaya Sil, Arup Kumar Bhaumik, Sonali Sen. - Cham :Springer Nature Switzerland :2025. - xxiv, 165 p. :ill. (chiefly color), digital ;24 cm. - Studies in systems, decision and control,v. 6002198-4190 ;. - Studies in systems, decision and control ;v.3..

1.Introduction and Preliminaries -- 2.Ball Mill Acoustics and Analysis -- 3.Particle Size Analysis and Predictive Grinding -- 4.State Prediction of a Running Ball Mill -- 5.Residence Time Calculation of the Grinding Materials using Genetic Algorithm -- 6.Real-time System Design to Predict the States of a Ball Mill -- 7.System Validation -- 8.Conclusion and Future Scope.

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.

ISBN: 9783031912900$q(electronic bk.)

Standard No.: 10.1007/978-3-031-91290-0doiSubjects--Topical Terms:

287769
Particle size determination.

LC Class. No.: TA418.8

Dewey Class. No.: 620.43

Intelligent real-time control systems to predict the particle size of minerals using acoustics of ball mill
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520 $a 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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