A Self-Adaption Growth Model for the Burden Packing Process in a Bell-Less Blast Furnace

Author:

Wu Dongling1,Yao Fengjie1,Zhang Duoyong1,Zu Enxue1,Zhou Ping1,Chen Wei2

Affiliation:

1. School of Energy Science and Engineering, Central South University, Changsha 410083, China

2. School of Intelligent Manufacturing Ecosystem, Xi’an Jiaotong-Liverpool University, Suzhou 215123, China

Abstract

The burden structure directly decides the distribution of gas flow inside a blast furnace (BF). Falling, stacking, and descending bulk materials are the three main processes for burden formation, among which the stacking process plays a decisive role. The Discrete Element Method (DEM) and theoretical modelling were combined to predict stacking behavior in this study. Falling and stacking behaviors were first simulated based on DEM. The repose angle during the stacking process and mass fraction distribution in the radial direction were analyzed. Then, the upper, centroid, and lower trajectory falling lines were determined, and a polynomial relation was found between the angle and the packing height. The influences of three parameters on the repose angle were investigated. Compared with the natural repose angle and chute inclination angle, the effects of the trajectory line depth appeared trivial. The polynomial relation between the repose angle and the packing height was specified to be a function of the natural angle of repose and the chute inclination angle. A three-trajectory falling model and quadratic expression were embedded in the theoretical model, yielding a self-adaption packing model. The model was proved reliable with a low relative error, below 15%.

Funder

National Natural Science Foundation of China

Publisher

MDPI AG

Reference38 articles.

1. Transient dem-cfd simulation of solid and fluid flow in a three dimensional blast furnace model;Bambauer;Powder Technol.,2018

2. Zhou, C. (2012). Minimization of Blast Furnace Fuel Rate by Optimizing Burden and Gas Distribution, University Libraries.

3. Evaluation of stock profile models for burden distribution in blast furnace;Shi;Ironmak. Steelmak.,2015

4. Evaluation of burden descent model for burden distribution in blast furnace;Zhou;J. Iron Steel Res. Int.,2016

5. Mathematical model for burden distribution in blast furnace;Shi;Ironmak. Steelmak.,2016

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3