有色冶金设计与研究2024,Vol.45Issue(6) :25-30,35.

锡冶炼富锡渣在线取样检测装备研发优化

Development and Application Optimization of Online Sampling and Detection Equipment for Tin-Rich Slag in Tin Smelting

王明江 刘庆东 袁海滨 李志禄 潘从元 汪浩 薛骅骎
有色冶金设计与研究2024,Vol.45Issue(6) :25-30,35.

锡冶炼富锡渣在线取样检测装备研发优化

Development and Application Optimization of Online Sampling and Detection Equipment for Tin-Rich Slag in Tin Smelting

王明江 1刘庆东 1袁海滨 1李志禄 2潘从元 3汪浩 3薛骅骎3
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作者信息

  • 1. 云南锡业股份有限公司锡业分公司,云南个旧 661017;昆明理工大学冶金与能源工程学院,云南 昆明 650093
  • 2. 云南锡业股份有限公司锡业分公司,云南个旧 661017
  • 3. 合肥金星智控科技股份有限公司,安徽 合肥 230000;安徽省流程工业在线检测与智能系统重点实验室,安徽 合肥 230000
  • 折叠

摘要

基于激光诱导击穿光谱技术,研发了锡冶炼取样杆富锡渣成分分析系统,通过均匀性评估、方案比对及大量数据采集,实现了顶吹炉富渣样的快速精准检测.通过优化双模型系统,解决了传统检测方法滞后性问题,提高了检测效率.研究采用工业探头、控制分析柜等组成的系统,结合金星智控GS-LIBS2200Y激光成分分析仪,实现了对富锡渣中Fe、Si、Ca等主要元素的在线精确检测.结果表明,该系统在熔炼车间应用中表现出色,为奥炉生产提供了实时可靠的工艺参数调整指导,降低了能耗,提升了企业竞争力,展现了显著的经济效益.

Abstract

The composition analysis system of tin-rich slag in tin smelting sampling rods is developed based on laser induced breakdown spectroscopy.Rapid and accurate detection of the rich slag samples from top-blown furnaces has been achieved by uniformity evaluation of sample,comparison of different schemes,and a large amount of data collection.Through the optimization of a dual-model system,the lag problem in the traditional detection method has been addressed to improve detection efficiency.The study adopts a system consisting of industrial probes,control and analysis cabinets,equipped with the Venus Intelligent Control GS-LIBS2200Y Laser Composition Analyzer to achieve on-line accurate detection of Fe,Si,Ca and other major elements in tin-rich slag.The results show that the system performs well in the application of smelting plant,provides real-time and reliable guidance for adjusting process parameters in the Ausmelt furnace production,reducing overall energy consumption,enhancing the competitiveness of the enterprise,and resulting in significant economic benefits.

关键词

取样杆/奥炉/富锡渣/双模型系统/在线检测/熔炼车间

Key words

sampling rod/tin-rich slag/dual-model system/online detection/smelting plant

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出版年

2024
有色冶金设计与研究
中国瑞林工程技术有限公司

有色冶金设计与研究

影响因子:0.414
ISSN:1004-4345
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