当前位置: X-MOL 学术Infrared Phys. Technol. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Microwave-assisted infrared thermography: A tool for quality assessment of blast furnace feeds
Infrared Physics & Technology ( IF 3.1 ) Pub Date : 2021-01-20 , DOI: 10.1016/j.infrared.2021.103640
A. Ghosh , T.K. Das , A.K. Sharma , R. Mukherjee , A. Bhushan , S. Palit Sagar

Infrared thermography is a ubiquitous technique for surface non-contact temperature profile analysis and monitoring. The generated thermograms offer a plethora of applications in non-destructive evaluation (NDE) for detecting inhomogeneities in engineering structures. However, the potential of this technique is still in its infancy for quality assessment of minerals and ores. In steel plants, iron ore and coke are the most important raw materials fed into the blast furnace. The alumina content in iron ore and moisture percentage in coke play a significant role in determining ultimate product quality and blast furnace efficiency. Till date, plant operators have relied on time-consuming and cumbersome chemical analysis methods for quality analysis of ores. The present investigation reveals a microwave-assisted infrared thermography based non-invasive technique for fast and accurate quality evaluation of blast furnace feed material, in terms of alumina content in iron ores and moisture content in coke. The estimation of alumina content is based on the difference in dielectric constants of various iron ore constituents. Moisture analysis in coke involves the utilization of well-known black body radiation. The co-relation factor for the alumina content in iron ore is slightly lower than the moisture content in coke. The basic difference occurs owing to inherent limitation of the technique for two different substances. Such type of novel approach is scanty in open domain literature. This non-invasive, real time, precise and fast technique proved its enormous potential during validation for random plant samples and thus promising to improve feed quality and blast furnace efficiency.



中文翻译:

微波辅助红外热成像:高炉进料质量评估工具

红外热成像技术是一种用于表面非接触温度分布分析和监控的普遍技术。生成的热分析图在非破坏性评估(NDE)中提供了大量的应用,可用于检测工程结构中的不均匀性。但是,这项技术的潜力仍处于起步阶段,用于评估矿物和矿石的质量。在钢铁厂中,铁矿石和焦炭是进入高炉的最重要原料。铁矿石中的氧化铝含量和焦炭中的水分含量在决定最终产品质量和高炉效率方面起着重要作用。迄今为止,工厂运营商一直使用费时且繁琐的化学分析方法对矿石进行质量分析。本研究揭示了一种基于微波辅助红外热成像的非侵入性技术,可以根据铁矿石中的氧化铝含量和焦炭中的水分含量快速,准确地评估高炉原料的质量。氧化铝含量的估算是基于各种铁矿石成分的介电常数的差异。焦炭中的水分分析涉及利用众所周知的黑体辐射。铁矿石中氧化铝含量的相关系数略低于焦炭中的水分含量。由于该技术对两种不同物质的固有局限性,出现了基本差异。这种类型的新颖方法在开放领域文献中很少。这种非侵入性的实时方式

更新日期:2021-02-04
down
wechat
bug