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Author:

Tian, Jiuzhou (Tian, Jiuzhou.) | Tanaka, Akira (Tanaka, Akira.) | Gao, Di (Gao, Di.) | Liu, Zenghua (Liu, Zenghua.) (Scholars:刘增华) | Hou, Qingwen (Hou, Qingwen.) | Chen, Xianzhong (Chen, Xianzhong.)

Indexed by:

EI Scopus SCIE

Abstract:

This paper is the first of a series of papers on the roughness characteristics of the burden surface in the blast furnace. The measurement method of the burden surface roughness texture is described, and the overall roughness characteristics of the burden surface are studied from a statistical point of view. This study focuses on two typical granularized burden materials, coke and sintered ore, which present four kinds of burden particles under two individual particle sizes. Simulated cold-state burden belts proportional to the practical burden radial sectors were stacked in a pilot plant. An RGBD camera was used to measure the simulated burden belt surfaces to obtain the surface texture details. Four corresponding digital eleva-tion models of the burden belts were obtained through data processing. The root mean squared height, skewness, kurtosis, and spatial autocorrelation function are selected as statistical indexes. The obtained digital elevation models were counted. The results show that all four kinds of burden surfaces are Isotro-pic-Rough-Surface. In addition, the height distributions of the rough burden surface are close to the Gaussian distribution. Also, the spatial autocorrelation functions of the coke and large-sized sintered ore burden surfaces are close to the Gaussian function form. And lastly, the spatial autocorrelation function of the small sintered ore burden surface is close to the exponential function form.

Keyword:

digital elevation model blast furnace burden surface roughness RGBD camera burden particle

Author Community:

  • [ 1 ] [Tian, Jiuzhou]Beijing Univ Technol, Fac Mat & Mfg, Beijing, Peoples R China
  • [ 2 ] [Liu, Zenghua]Beijing Univ Technol, Fac Mat & Mfg, Beijing, Peoples R China
  • [ 3 ] [Tanaka, Akira]Hokkaido Univ, Fac Informat Sci & Technol, Sapporo, Japan
  • [ 4 ] [Gao, Di]Sam Houston State Univ, Dept Math & Stat, Huntsville, TX USA
  • [ 5 ] [Hou, Qingwen]Univ Sci & Technol Beijing, Sch Automat & Engn, Beijing, Peoples R China
  • [ 6 ] [Chen, Xianzhong]Univ Sci & Technol Beijing, Sch Automat & Engn, Beijing, Peoples R China

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Source :

ISIJ INTERNATIONAL

ISSN: 0915-1559

Year: 2023

Issue: 7

Volume: 63

Page: 1217-1225

1 . 8 0 0

JCR@2022

ESI Discipline: MATERIALS SCIENCE;

ESI HC Threshold:26

Cited Count:

WoS CC Cited Count: 1

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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