Experimental study on separation of lumpish coal and gangue using X-ray

ABSTRACT

The recognition of lumpish coal and gangue of different coal sorts was conducted using X-ray technique. Gas coal, fat coal and coking coal were used in this study, and the ash content was found to roughly increase linearly with the density independently of coal sort. Al₂O₃, SiO₂, Fe₂O₃ and SO₃ were detected to be the major oxides for the increase in ash content as the density increased. The gray value of coal was larger than that of gangue and decreased with the increase in thickness and density independently of coal sort and energy zone. The gray value in the high energy zone was found to overlap with that in the low energy zone. Material attribute value (R) was applied for estimating the accuracy of the recognition, and the highest accuracy was given at R = 1.3.

KEYWORDS:

• X-ray
• separation
• lumpish coal
• gangue
• gray value
• material attribute value

CRediT author statement

Yong ZHANG: Data Curation, Writing- Reviewing and Editing, Validation

Hongzheng Zhu: Conceptualization, Writing- Reviewing and Editing, Data Curation, Validation, Funding acquisition

Jinbo Zhu: Methodology, Resources, Project administration

Zhanbei OU: Data Curation, Validation

Tuo SHEN: Data Curation, Validation

Jingjing SUN: Data Curation, Validation

Anan FENG: Data Curation, Validation

Highlights

• X-ray was applied for separating lumpish coal and gangue.

• Gray value was used for gangue disposal and gray value overlap between the high and low energy zones was addressed.

• Material attribute value was applied for estimating the accuracy of the recognition of lumpish coal and gangue.

Acknowledgments

The authors gratefully acknowledge the China Postdoctoral Science Foundation (Grant No.2019M662134), the Postdoctoral Science Foundation of Anhui Province (Grant No.2019B330), the Anhui Provincial Excellent Talent Project (Grant No.gxyqZD2020019), the Open Foundation of State Key Laboratory of Ming Response and Disaster Prevention and Control in Deep Coal Mines (Grant No. SKLMRDPC20ZZ03), and the National Major Fundamental Research Program of China (Grant No.2019YFC1904304) for supporting this work.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This work was supported by the the Postdoctoral Science Foundation of Anhui Province [2019B330]; the China Postdoctoral Science Foundation [No.2019M662134]; and the National Major Fundamental Research Program of China [2019YFC1904304]; the Anhui Provincial Excellent Talent Project [gxyqZD2020019]; the Open Foundation of State Key Laboratory of Ming Response and Disaster Prevention and Control in Deep Coal Mines [SKLMRDPC20ZZ03].

Notes on contributors

Yong Zhang

Yong Zhang (1992-) is a Ph.D student from Anhui University of Science and Technology, China. He majors in mineral processing, especially in the coal separation area and published some papers.

Hongzheng Zhu

Hongzheng Zhu (1987-) is an excellent expert from Anhui University of Science and Technology, China. He specialises in mineral sorting and has published many high quality papers.

Jinbo Zhu

Jinbo Zhu (1963-) is a famous scholar from Anhui University of Science and Technology, China. He is primarily involved in coal sorting and flow field modelling.

Zhanbei ou

Zhanbei Ou (1981-) is a coal processing plant technician with extensive practical experience and from Huaibei Mining Co., Ltd., China.

Tuo Shen

Tuo Shen (1986-) is a coal processing plant technician with extensive practical experience and from Huaibei Mining Co., Ltd., C.

Jingjing Sun

Jingjing Sun (1983-) is a coal processing plant technician and from Huaibei Mining Co., Ltd., China.

Anan Feng

Anan Feng (1994-) is a coal processing plant technician from Wanglou Coal Mine, Shandong Energy Linyi Group, China.