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ORGANIZER;CN='8th ECIC & 9th ICSTI 2022':MAILTO:info@ecic-icsti.com
LOCATION:Room „Danzig“
SUMMARY:The development of a modern BF-hearth side wall observation management
DESCRIPTION:Modern blast furnace (BF) hearth linings can reach life times of 15 years and more. During such a long BF campaigns, a number of lining properties and characteristics (e.g. thermal conductivity (TC)) can change unnoticed, if alkalis form potassic feldspars, especially in carbon hearth lining layers.

Besides this, other phenomena like “heat resistances” can create unnoticed changes in the hearth side wall lining, too. One has to distinguish between positive heat resistances like “skulls” and heat resistances with a negative effect on the BF hearth linings like cracks, gaps, or partly destroyed lining structures, like “brittle layers”.

It is hard to detect such changes of important lining properties with classical observation measurement techniques. Without identifying such changes, it is very difficult to calculate the important “true and real” hearth lining wear profiles in different measuring sections and measuring levels with a 2D- or 3D- mathematical FE model.

Paul Wurth Deutschland GmbH (Paul Wurth) has developed so-called multipoint thermocouple sensor probes (MTP sensor probes) in combination with necessary heat flux probes, to detect such kind of unnoticed changes of BF hearth lining properties on the one hand and “heat resistances” in the BF hearth linings on the other. In order to detect such phenomena, the multipoint MTP sensor probes are installed deep in the BF hearth lining wall and work reliably throughout the whole BF campaign. The MTP sensor probes provide “online” the necessary calibration and reference points for the true and real lining wear calculation with a special tailor-made mathematical FE model.

Aiming at monitoring the condition and extending the service live of modern blast furnaces, especially under today’s harsh technical and economic conditions, Paul Wurth presents in this paper examples of typical installations, recent experience of detected abnormalities as well as application of MTP sensor probe technology and mathematical models.


CLASS:PUBLIC
DTSTART:20220831T141000
DTEND:20220831T143500
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