Abstract
The blast furnace hearth refractories are exposed to complex chemical attack and thermal stress erosion, which will lead to the gradual failure of refractories. The campaign life of a blast furnace depends on its remaining hearth refractory lining, so it is very important to understand the remaining thickness of hearth refractory for prolonging the service life of blast furnace. In order to understand the damage of hearth refractory more accurately, a multi-information fusion method for measuring the refractory lining thickness of blast furnace hearth was proposed, which was based on the application advantages of impact echo technology, thermocouple and cooling stave heat flux intensity in blast furnace hearth. The influence of temperature change in different material layers of hearth on wave velocity was considered. In addition, the thickness of carbon brick lining of blast furnace hearth was detected by the method of multi-information fusion. It is found that the multi-information fusion thickness detection method improves the accuracy of thickness measurement compared with the impact echo thickness detection method.
Highlights
The development of a country’s national economy and the promotion of national defense force can’t be separated from the iron and steel industry
The literature [7]–[9] described the detection of lining thickness of several blast furnace hearth by Acousto Ultrasonic-Echo (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
In order to overcome the above problems, the impact echo technology combined with thermocouple data and cooling stave heat flux intensity of a multi-information fusion detection method is applied to the blast furnace hearth thickness detection, this method considers the influence of temperature change in different material layers of the hearth on the wave velocity, and calculates the thickness of the hearth more accurately
Summary
The development of a country’s national economy and the promotion of national defense force can’t be separated from the iron and steel industry. 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. In order to overcome the above problems, the impact echo technology combined with thermocouple data and cooling stave heat flux intensity of a multi-information fusion detection method is applied to the blast furnace hearth thickness detection, this method considers the influence of temperature change in different material layers of the hearth on the wave velocity, and calculates the thickness of the hearth more accurately
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