Discrete model for analysis and design of grinding mill-classifier systems

被引:12
|
作者
Kis, PB
Mihálykó, C
Lakatos, BG
机构
[1] Coll Dunaujvaros, Inst Math, H-2401 Dunaujvaros, Hungary
[2] Univ Veszprem, Dept Math & Comp, H-8201 Veszprem, Hungary
[3] Univ Veszprem, Dept Proc Engn, H-8201 Veszprem, Hungary
关键词
grinding mill-classifier system; axial dispersion model; discrete numerical model; computer simulation;
D O I
10.1016/j.cep.2005.09.006
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Discrete mathematical and computer models are developed for the simulation of grinding mill-classifier systems on the basis of distributed parameter models of continuous grinding processes. The discrete model is derived from the partial integro-differential equation describing axial mixing and breakage of particles in grinding mills. The convective flow and axial dispersion in the mill are modeled as particle size-dependent processes, while the recirculation line is described as plug flow of the classifier rejected material involving also some time delay. The resulted set of recursive linear algebraic equations was the basis of computer model developed in MATLAB environment. The capabilities of the computer model are demonstrated by presenting and analyzing results obtained by numerical experiences. The influence of both the kinetic and process parameters of the mill-classifier system on the size distribution of the ground material as well the dynamic behavior of the system are presented and analyzed. The computer model is suitable for designing the configuration and operational conditions of both open- and closed-circuit grinding mill-classifier systems efficiently. (c) 2005 Elsevier B.V All rights reserved.
引用
收藏
页码:340 / 349
页数:10
相关论文
共 50 条
  • [1] Optimising design of continuous grinding mill-classifier systems
    Kis, PB
    Mihalyko, C
    Lakatos, BG
    [J]. CHEMICAL ENGINEERING AND PROCESSING-PROCESS INTENSIFICATION, 2005, 44 (02) : 273 - 277
  • [2] DESIGN OF CLOSED-CIRCUIT GRINDING SYSTEM WITH TUBE MILL AND NONIDEAL CLASSIFIER
    FURUYA, M
    NAKAJIMA, Y
    TANAKA, T
    [J]. INDUSTRIAL & ENGINEERING CHEMISTRY PROCESS DESIGN AND DEVELOPMENT, 1973, 12 (01): : 18 - 23
  • [3] Effects of grinding aids on model parameters of a cement ball mill and an air classifier
    Toprak, Nurettin Alper
    Benzer, Ahmet Hakan
    [J]. POWDER TECHNOLOGY, 2019, 344 : 706 - 718
  • [4] On Development of Neural Network Model of Multi-Parametric Objects of Mining and Metallurgical Production Using Mill-Classifier Complex as Example
    Poleshchenko, D. A.
    Tsygankov, Y. A.
    Eremenko, Y., I
    [J]. 2019 INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING, APPLICATIONS AND MANUFACTURING (ICIEAM), 2019,
  • [5] Analysis on Grinding media Motion in Ball Mill by Discrete Element Method
    Sun, Yi
    Dong, Mingfeng
    Mao, Yalang
    Fan, Difeng
    [J]. ADVANCES IN MANUFACTURING ENGINEERING, QUALITY AND PRODUCTION SYSTEMS, VOL I, 2009, : 227 - +
  • [6] Numerical investigation of the grinding process in a beater wheel mill with classifier
    Anagnostopoulos, J
    Bergeles, G
    [J]. JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER-TRANSACTIONS OF THE ASME, 1997, 119 (03): : 723 - 733
  • [7] Numerical investigation of the grinding process in a beater wheel mill with classifier
    Anagnostopoulos, J.
    Bergeles, G.
    [J]. Journal of Engineering for Gas Turbines and Power, 1997, 119 (03) : 723 - 733
  • [8] Analysis of the ball mill grindability to improve the simplified grinding model
    Nomura, S.
    [J]. POWDER TECHNOLOGY, 2022, 405
  • [9] AN ANALYSIS OF MILL GRINDING NOISE
    WATSON, JL
    [J]. POWDER TECHNOLOGY, 1985, 41 (01) : 83 - 89
  • [10] Analysis of grinding kinetics in a laboratory ball mill using population-balance-model and discrete-element-method
    Lee, Hansol
    Kim, Kwanho
    Lee, Hoon
    [J]. ADVANCED POWDER TECHNOLOGY, 2019, 30 (11) : 2517 - 2526