Removal of the heavy metals from copper slag by using carbonless additives

IF 7.1 2区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL Waste management Pub Date : 2024-07-25 DOI:10.1016/j.wasman.2024.07.023
{"title":"Removal of the heavy metals from copper slag by using carbonless additives","authors":"","doi":"10.1016/j.wasman.2024.07.023","DOIUrl":null,"url":null,"abstract":"<div><p>The smelting processes account for over 80 % of global copper production, generating various slags in large quantities. Most of these slags do not contain the required amounts of valuable metals to justify economic revalorization, yet the concentrations present may negatively affect the environment. In this study, heavy and potentially toxic metals were removed by keeping the liquefied slag at 1300 °C for four hours, while the metals gathering was enhanced by adding silicon-copper compounds. Crystallography, metallography, gravimetric, thermogravimetric, and differential thermal analysis were employed to characterize the slag. Electron probe microanalysis was utilized to examine the distribution of heavy and potentially toxic metals from the original copper slag to the remaining slag and mattes formed in the lower portion of the containing vessel. In all instances, concentrations of the arsenic and zinc were reduced below the detection limit. Moreover, the cumulative concentrations of six heavy metals were reduced from 2400 ppm in the initial slag to 41.7 ppm in the remaining slag when using 30 wt%Si70wt%Cu additive. All potentially valuable or toxic metals gathered in the mattes that had oxygen concentrations about 50 times lower than in the initial slag, at 0.82, 0.56, and 0.68 wt% after the mixing slag with 10 wt%Si90%Cu, 30 wt%Si70wt%Cu, and 50 wt%Si50wt%Cu additives, respectively. Investigated practices can mitigate the threat of heavy and potentially toxic metals associated with the disposal of copper slags while also enabling the recovery of valuable metals and rendering the remaining slag suitable for construction or mine backfill purposes.</p></div>","PeriodicalId":23969,"journal":{"name":"Waste management","volume":null,"pages":null},"PeriodicalIF":7.1000,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Waste management","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0956053X24004148","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ENVIRONMENTAL","Score":null,"Total":0}
引用次数: 0

Abstract

The smelting processes account for over 80 % of global copper production, generating various slags in large quantities. Most of these slags do not contain the required amounts of valuable metals to justify economic revalorization, yet the concentrations present may negatively affect the environment. In this study, heavy and potentially toxic metals were removed by keeping the liquefied slag at 1300 °C for four hours, while the metals gathering was enhanced by adding silicon-copper compounds. Crystallography, metallography, gravimetric, thermogravimetric, and differential thermal analysis were employed to characterize the slag. Electron probe microanalysis was utilized to examine the distribution of heavy and potentially toxic metals from the original copper slag to the remaining slag and mattes formed in the lower portion of the containing vessel. In all instances, concentrations of the arsenic and zinc were reduced below the detection limit. Moreover, the cumulative concentrations of six heavy metals were reduced from 2400 ppm in the initial slag to 41.7 ppm in the remaining slag when using 30 wt%Si70wt%Cu additive. All potentially valuable or toxic metals gathered in the mattes that had oxygen concentrations about 50 times lower than in the initial slag, at 0.82, 0.56, and 0.68 wt% after the mixing slag with 10 wt%Si90%Cu, 30 wt%Si70wt%Cu, and 50 wt%Si50wt%Cu additives, respectively. Investigated practices can mitigate the threat of heavy and potentially toxic metals associated with the disposal of copper slags while also enabling the recovery of valuable metals and rendering the remaining slag suitable for construction or mine backfill purposes.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
使用无碳添加剂去除铜渣中的重金属。
冶炼过程占全球铜产量的 80% 以上,会产生大量各种废渣。这些炉渣中的大部分都不含所需数量的有价金属,因此无法进行经济上的重新评估,但其浓度可能会对环境造成负面影响。在这项研究中,通过将液化炉渣在 1300 °C 下保持四小时,去除了重金属和潜在有毒金属,同时通过添加硅铜化合物提高了金属聚集能力。该研究采用了晶体学、金相学、重量分析、热重分析和差热分析等方法对炉渣进行表征。电子探针显微分析法用于检查重金属和潜在有毒金属从原始铜渣到剩余铜渣的分布情况,以及在容器下部形成的哑光。在所有情况下,砷和锌的浓度都降至检测限以下。此外,当使用 30 wt%Si70wt%Cu 添加剂时,六种重金属的累积浓度从最初铜渣中的 2400 ppm 降至剩余铜渣中的 41.7 ppm。在使用 10 wt%Si90%Cu、30 wt%Si70wt%Cu 和 50 wt%Si50wt%Cu 添加剂混合熔渣后,所有可能有价值或有毒的金属都聚集在氧浓度比初始熔渣低约 50 倍的锍中,分别为 0.82、0.56 和 0.68 wt%。所研究的方法可以减轻与铜渣处置相关的重金属和潜在有毒金属的威胁,同时还能回收有价值的金属,并使剩余的铜渣适用于建筑或矿山回填用途。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Waste management
Waste management 环境科学-工程:环境
CiteScore
15.60
自引率
6.20%
发文量
492
审稿时长
39 days
期刊介绍: Waste Management is devoted to the presentation and discussion of information on solid wastes,it covers the entire lifecycle of solid. wastes. Scope: Addresses solid wastes in both industrialized and economically developing countries Covers various types of solid wastes, including: Municipal (e.g., residential, institutional, commercial, light industrial) Agricultural Special (e.g., C and D, healthcare, household hazardous wastes, sewage sludge)
期刊最新文献
Kinetic investigation on the catalytic pyrolysis of plastic fractions of waste electrical and electronic equipment (WEEE): A mathematical deconvolution approach. Quantification of household food waste in Greece to establish the 2021 national baseline and methodological implications Improving agricultural sustainability – A review of strategies to valorize tomato plant residues (TPR) Co-firing characteristic prediction of solid waste and coal for supercritical CO2 power cycle based on CFD simulation and machine learning algorithm Lightweight deep learning model for underwater waste segmentation based on sonar images
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1