2017
DOI: 10.4028/www.scientific.net/ddf.380.186
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The Association of Various Approaches to the Monitoring of Lining Condition in the Blast Furnace Hearth

Abstract: The problem of an assessment of the monitoring of lining condition in the Blast Furnace hearth during its campaign today has no unambiguous solution. Various techniques for the diagnostics have their own merits and demerits [1]. In this paper, characteristics of the diagnostic methods based on the measurements of temperatures in the lining, heat transfer of the cooling system and acoustic effects are considered. Various techniques can be combined and formulated into a uniform package of the strongest measures.

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Cited by 2 publications
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“…The literature [7]- [9] described the detection of lining thickness of several blast furnace hearth by AU-E technology, the wave velocity in the thickness calculation was determined by the refractory data sheets and mechanical properties of similar bricks, and the hearth thickness detection results were verified on the blast furnace of the same design. The literature [10], [11] used AU-E technology and thermal data from thermocouples and cooling system to calculate the lining thickness of blast furnace hearth and predict the further wear area over time. However, this method is only about the analysis of thickness results, which doesn't improve the accuracy of AU-E thickness detection.…”
Section: Introductionmentioning
confidence: 99%
“…The literature [7]- [9] described the detection of lining thickness of several blast furnace hearth by AU-E technology, the wave velocity in the thickness calculation was determined by the refractory data sheets and mechanical properties of similar bricks, and the hearth thickness detection results were verified on the blast furnace of the same design. The literature [10], [11] used AU-E technology and thermal data from thermocouples and cooling system to calculate the lining thickness of blast furnace hearth and predict the further wear area over time. However, this method is only about the analysis of thickness results, which doesn't improve the accuracy of AU-E thickness detection.…”
Section: Introductionmentioning
confidence: 99%