Application of DEM modelling to grinding processes

R. Y. Yang; Chandana T Jayasundara; A. B. Yu

doi:10.1109/WCICA.2014.7053164

Application of DEM modelling to grinding processes

R. Y. Yang
, Chandana T Jayasundara
, A. B. Yu

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

Abstract

Understanding energy utilisation in grinding is critical to the process optimisation. In this paper, we demonstrated that the discrete element method (DEM) modelling, when combined with experimental measurements, can provide more realistic and reliable description of grinding processes. By incorporating particle grindability from experiments and energy condition from DEM simulations into a population balance model (PBM), we developed a multi-scale framework to predict mill performance. The model can be an invaluable tool in the design, control and optimisation of grinding processes.

Original language	English
Title of host publication	Proceeding of the 11th World Congress on Intelligent Control and Automation
Subtitle of host publication	Shenyang, China, June 29 - July 4 2014
Editors	Hong Wang
Place of Publication	Piscataway NJ USA
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	2765-2769
Number of pages	5
ISBN (Electronic)	9781479958245
ISBN (Print)	9781479958269
DOIs	https://doi.org/10.1109/WCICA.2014.7053164
Publication status	Published - 2014
Externally published	Yes
Event	World Congress on Intelligent Control and Automation 2014 - Shenyang, China Duration: 29 Jun 2014 → 4 Jul 2014 Conference number: 11th

Conference

Conference	World Congress on Intelligent Control and Automation 2014
Abbreviated title	WCICA 2014
Country/Territory	China
City	Shenyang
Period	29/06/14 → 4/07/14

Keywords

Discrete element modelling
Grinding
Population balance model
Process optimisation

Access to Document

10.1109/WCICA.2014.7053164

Cite this

Yang, R. Y., Jayasundara, C. T., & Yu, A. B. (2014). Application of DEM modelling to grinding processes. In H. Wang (Ed.), Proceeding of the 11th World Congress on Intelligent Control and Automation: Shenyang, China, June 29 - July 4 2014 (pp. 2765-2769). Article 7053164 IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/WCICA.2014.7053164

@inproceedings{b307ce571adc4826ab93b2911d62fb3a,

title = "Application of DEM modelling to grinding processes",

abstract = "Understanding energy utilisation in grinding is critical to the process optimisation. In this paper, we demonstrated that the discrete element method (DEM) modelling, when combined with experimental measurements, can provide more realistic and reliable description of grinding processes. By incorporating particle grindability from experiments and energy condition from DEM simulations into a population balance model (PBM), we developed a multi-scale framework to predict mill performance. The model can be an invaluable tool in the design, control and optimisation of grinding processes.",

keywords = "Discrete element modelling, Grinding, Population balance model, Process optimisation",

author = "Yang, \{R. Y.\} and Jayasundara, \{Chandana T\} and Yu, \{A. B.\}",

year = "2014",

doi = "10.1109/WCICA.2014.7053164",

language = "English",

isbn = "9781479958269",

pages = "2765--2769",

editor = "Hong Wang",

booktitle = "Proceeding of the 11th World Congress on Intelligent Control and Automation",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States of America",

note = "World Congress on Intelligent Control and Automation 2014, WCICA 2014 ; Conference date: 29-06-2014 Through 04-07-2014",

}

Yang, RY, Jayasundara, CT & Yu, AB 2014, Application of DEM modelling to grinding processes. in H Wang (ed.), Proceeding of the 11th World Congress on Intelligent Control and Automation: Shenyang, China, June 29 - July 4 2014., 7053164, IEEE, Institute of Electrical and Electronics Engineers, Piscataway NJ USA, pp. 2765-2769, World Congress on Intelligent Control and Automation 2014, Shenyang, China, 29/06/14. https://doi.org/10.1109/WCICA.2014.7053164

Application of DEM modelling to grinding processes. / Yang, R. Y.; Jayasundara, Chandana T; Yu, A. B.
Proceeding of the 11th World Congress on Intelligent Control and Automation: Shenyang, China, June 29 - July 4 2014. ed. / Hong Wang. Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, 2014. p. 2765-2769 7053164.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

TY - GEN

T1 - Application of DEM modelling to grinding processes

AU - Yang, R. Y.

AU - Jayasundara, Chandana T

AU - Yu, A. B.

N1 - Conference code: 11th

PY - 2014

Y1 - 2014

N2 - Understanding energy utilisation in grinding is critical to the process optimisation. In this paper, we demonstrated that the discrete element method (DEM) modelling, when combined with experimental measurements, can provide more realistic and reliable description of grinding processes. By incorporating particle grindability from experiments and energy condition from DEM simulations into a population balance model (PBM), we developed a multi-scale framework to predict mill performance. The model can be an invaluable tool in the design, control and optimisation of grinding processes.

AB - Understanding energy utilisation in grinding is critical to the process optimisation. In this paper, we demonstrated that the discrete element method (DEM) modelling, when combined with experimental measurements, can provide more realistic and reliable description of grinding processes. By incorporating particle grindability from experiments and energy condition from DEM simulations into a population balance model (PBM), we developed a multi-scale framework to predict mill performance. The model can be an invaluable tool in the design, control and optimisation of grinding processes.

KW - Discrete element modelling

KW - Grinding

KW - Population balance model

KW - Process optimisation

UR - https://www.scopus.com/pages/publications/84932111106

U2 - 10.1109/WCICA.2014.7053164

DO - 10.1109/WCICA.2014.7053164

M3 - Conference Paper

SN - 9781479958269

SP - 2765

EP - 2769

BT - Proceeding of the 11th World Congress on Intelligent Control and Automation

A2 - Wang, Hong

PB - IEEE, Institute of Electrical and Electronics Engineers

CY - Piscataway NJ USA

T2 - World Congress on Intelligent Control and Automation 2014

Y2 - 29 June 2014 through 4 July 2014

ER -

Application of DEM modelling to grinding processes

Abstract

Conference

Keywords

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