New evaluation method for the kinetic analysis of the grinding rate constant via the uniformity of particle size distribution during a grinding process

被引：4

作者：

Choi, Heekyu ^{[1
]}

Lee, Jehyun ^{[1
]}

Hong, Hyunuk ^{[1
]}

Gu, Jiho ^{[1
]}

Lee, Jeongseok ^{[1
]}

Yoon, Hyeyoung ^{[1
]}

Choi, Junewoo ^{[1
]}

Jeong, Yeongil ^{[1
]}

Song, Jungil ^{[1
]}

Kim, Myongho ^{[1
]}

Ochirkhuyag, Bayanjargal ^{[2
]}

机构：

[1] Changwon Natl Univ, ERC Integrated Mech Mat & Components, Chang Won 641773, South Korea

[2] Natl Univ Mongolia, Fac Chem & Chem Technol, Ulaanbaatar 14210, Mongolia

来源：

POWDER TECHNOLOGY | 2013年 / 247卷

基金：

新加坡国家研究基金会;

关键词：

Particle size distribution; Uniformity; Grinding rate constant; Grinding process; STIRRED BALL MILL; INORGANIC POWDERS;

D O I：

10.1016/j.powtec.2013.06.031

中图分类号：

TQ [化学工业];

学科分类号：

0817 ;

摘要：

A new kinetic analytical method for evaluating the grinding rate constant via the uniformity of the particle size distribution during a grinding process was investigated. The grinding experiments were carried out at various slurry concentrations. A stirring ball mill was used. The relationship between the uniformity of the particle size distribution and the uniformity grinding rate constant K was evaluated. The value of K decreased with the increase in the uniformity of the ground sample, and varied with the experimental conditions. The value of K, which is related to the uniformity of the raw sample, increased at low slurry concentrations. (C) 2013 The Authors. Published by Elsevier B.V. All rights reserved.

引用

页码：44 / 46

页数：3

共 45 条

[1] Controlling the particle size distribution of cement during grinding
Beeinflussung der Korngroessenverteilung von Zement beim Mahlen
[J]. Mueller-Pfeiffer, M., 2000, Bauverlag GmbH, Walluf, Germany (53):
[2] The fractal characteristic of particle size distribution in coal grinding process
Zeng, FG
Zhu, SQ
Wang, ZN
[J]. MINING SCIENCE AND TECHNOLOGY 99, 1999, : 493 - 496
[3] Experimental Uncertainty Analysis for the Particle Size Distribution for Better Understanding of Batch Grinding Process
Delgado, Jose
Lucay, Freddy A.
Sepulveda, Felipe D.
[J]. MINERALS, 2021, 11 (08)
[4] Performance analysis of grinding process via particle swarm optimization
Ting, TO
Lee, TS
Htay, T
[J]. ICCIMA 2005: SIXTH INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND MULTIMEDIA APPLICATIONS, PROCEEDINGS, 2005, : 92 - 97
[5] Override and model predictive control of particle size and feed rate in grinding process
Chen Xisong
Zhai Junyong
Li Qi
Fei Shumin
[J]. PROCEEDINGS OF THE 26TH CHINESE CONTROL CONFERENCE, VOL 4, 2007, : 704 - +
[6] A NEW METHOD FOR ANALYSIS IN GRINDING DURING SLEEP
TAKAMATSU, T
KATO, Y
NAKAGAWA, H
BANDO, S
FUJII, T
NAKAJIMA, Y
KOWASHI, Y
HOSHI, M
KATO, H
[J]. RECENT ADVANCES IN CLINICAL PERIODONTOLOGY, 1988, 790 : 459 - 462
[7] Iterative Learning Based Particle Size Distribution Control in Grinding Process Using Output PDF Method
Sun, Xubin
Ding, Jinliang
Wang, Hong
Chai, Tianyou
Dong, Hairong
[J]. 2013 10TH IEEE INTERNATIONAL CONFERENCE ON CONTROL AND AUTOMATION (ICCA), 2013, : 63 - 68
[8] Acceleration of the Dynamic Simulation of Grinding Particle Size Distribution Based on τ-leap Method
Liu, Xin
Lui, Shaowen
[J]. 2014 11TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA), 2014, : 772 - 776
[9] EFFECT OF GRINDING METHOD ON ENERGY CONSUMPTION AND PARTICLE SIZE DISTRIBUTION OF BLENDED CEMENTS
Ghiasvand, E.
Ramezanianpour, A. A.
[J]. IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY-TRANSACTIONS OF CIVIL ENGINEERING, 2015, 39 (C2) : 423 - 433
[10] On-line characterization of particle size during an ultrafine wet grinding process
Bordes, C
Garcia, F
Snabre, P
Frances, C
[J]. POWDER TECHNOLOGY, 2002, 128 (2-3) : 218 - 228

← 1 2 3 4 5 →