Mike Holliday, Yufeng Lai, M. Hobbs, Nick Boone, Tariq Al-Haji, Iain Scott, Jon Willmott
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引用次数: 0
Abstract
ABSTRACT The size distribution of iron ore sinter is critical to efficient blast furnace operation and is an optimised variable in sinter plants globally. Prompt process control response to discrepancies in sinter size is essential, and the standard sieve measurement test introduces significant delay in data acquisition. We introduce a networked optical sensor system that is shown to accurately measure size distribution within 5 s, collect data continuously at 0.5 Hz, and is well correlated to sieving measurements. This system is deployed at the end of a sinter plant, providing real-time process control data with digital image analysis performed on an integrated microprocessor. The systems performance was assessed with a 12-week validation period, showing excellent correlation with sieve data. Systems such as ours can be widely implemented in sinter plants, and in similar steelmaking applications, due to its cost-effective implementation of continuous data acquisition and the systems versatility to be adapted.
期刊介绍:
Ironmaking & Steelmaking: Processes, Products and Applications monitors international technological advances in the industry with a strong element of engineering and product related material. First class refereed papers from the international iron and steel community cover all stages of the process, from ironmaking and its attendant technologies, through casting and steelmaking, to rolling, forming and delivery of the product, including monitoring, quality assurance and environmental issues. The journal also carries research profiles, features on technological and industry developments and expert reviews on major conferences.