Study on XRT Intelligent Sorting of a Lead Zinc Polymetallic Sulfide Mine in Inner Mongolia
- DOI
- 10.2991/978-94-6463-415-0_86How to use a DOI?
- Keywords
- Sulfide ore; Lead-zinc ore; Scrap; Intelligent separation
- Abstract
An X-ray intelligent sorting experiment was conducted on a certain polymetallic sulfide mine in Inner Mongolia. Under the condition of operating scrap rate of 43.65%, the grades of copper, lead, zinc, and iron in the tailings were 0.01%, 0.01%, 0.13%, and 3.15%, respectively. The recovery rates of copper, lead, zinc, and iron in the concentrate were 97.20%, 86.17%, 95.59%, and 88.94%, respectively. After the enterprise adopts X-ray intelligent sorting technology, it will generate an additional economic benefit of 4.5316 million yuan per year. The process can effectively reduce the discharge amount of tailing pond and improve the service life of tailing pond.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Guanglin Qin AU - Guangsheng Li AU - Xingfu Zhu AU - Yunzhi Liu AU - Lianxi Sun AU - Xiaoguang Zhang AU - Yanbo Chen AU - Qiang Ji PY - 2024 DA - 2024/05/14 TI - Study on XRT Intelligent Sorting of a Lead Zinc Polymetallic Sulfide Mine in Inner Mongolia BT - Proceedings of the 2023 9th International Conference on Advances in Energy Resources and Environment Engineering (ICAESEE 2023) PB - Atlantis Press SP - 813 EP - 819 SN - 2589-4943 UR - https://doi.org/10.2991/978-94-6463-415-0_86 DO - 10.2991/978-94-6463-415-0_86 ID - Qin2024 ER -