Abstract:Experimental procedures have been developed to measure heat losses and temperature in a laboratory scale, high temperature furnace under different conditions and thereby, to estimate various thermal properties of steelrefractory system such as emissivity, thermal conductivity and thermal contact resistance between refractory and steel plates etc. To these ends, a large number of experiments were carried out in an in-house designed resistance furnace with the help of pyrometers, contact thermocouples and heat f… Show more
“…The temperature distribution of the ladle is mainly measured by single-point infrared radiation pyrometer and thermal imager. I. Jain, G. Dietmar, V. A. Kononov et al [12][13][14][15][16] adopted a single-point infrared radiation pyrometer to obtain the temperature of the ladle shell and verify the simulation results of the temperature field of the ladle insulation layer. On the basis of single-point temperature measurement, In actual application, the thermometry sets the emissivity of the measured object to a constant value [17][18][19][20] , however, the emissivity of the measured points surface of the ladle is uncertainty, it brings great error to the measurement.…”
Inner wall temperature of ladle is closely related to the quality of steelmaking and control of steel-making tapping temperature. This article adopts a rotating platform to drive an infrared temperature sensor and a laser sensor to scan the temperature field distribution of the ladle inner wall at the hot repair station, where the scanning laser sensor obtains coordinates of each measured point. Because of measuring errors of infrared thermal radiation caused by emissivity uncertainty of the ladle inner wall surface, this article proposes a method for temperature measurement based on Monte Carlo model for effective emissivity correction of each measured point. In the model, we consider the ladle and fire baffle as a cavity. By calculation of the model, the effect of distance from the fire baffle to the ladle and the material surface emissivity of the ladle inner wall on the effective emissivity of the cavity are obtained. After that, the effective emissivity of each measured point is determined. Then the scanning temperature of each measured point is corrected to real temperature. By field measuring test and verification contrast, the results show that: the maximum absolute error of the method in this article is 4.7℃, the minimum error is 0.6℃, and the average error is less than 2.8℃. The method in this article achieves high measurement accuracy and contributes to the control of metallurgical process based on temperature information.
“…The temperature distribution of the ladle is mainly measured by single-point infrared radiation pyrometer and thermal imager. I. Jain, G. Dietmar, V. A. Kononov et al [12][13][14][15][16] adopted a single-point infrared radiation pyrometer to obtain the temperature of the ladle shell and verify the simulation results of the temperature field of the ladle insulation layer. On the basis of single-point temperature measurement, In actual application, the thermometry sets the emissivity of the measured object to a constant value [17][18][19][20] , however, the emissivity of the measured points surface of the ladle is uncertainty, it brings great error to the measurement.…”
Inner wall temperature of ladle is closely related to the quality of steelmaking and control of steel-making tapping temperature. This article adopts a rotating platform to drive an infrared temperature sensor and a laser sensor to scan the temperature field distribution of the ladle inner wall at the hot repair station, where the scanning laser sensor obtains coordinates of each measured point. Because of measuring errors of infrared thermal radiation caused by emissivity uncertainty of the ladle inner wall surface, this article proposes a method for temperature measurement based on Monte Carlo model for effective emissivity correction of each measured point. In the model, we consider the ladle and fire baffle as a cavity. By calculation of the model, the effect of distance from the fire baffle to the ladle and the material surface emissivity of the ladle inner wall on the effective emissivity of the cavity are obtained. After that, the effective emissivity of each measured point is determined. Then the scanning temperature of each measured point is corrected to real temperature. By field measuring test and verification contrast, the results show that: the maximum absolute error of the method in this article is 4.7℃, the minimum error is 0.6℃, and the average error is less than 2.8℃. The method in this article achieves high measurement accuracy and contributes to the control of metallurgical process based on temperature information.
“…The results from Bauer's studies suggest that the refractories have an emissivity close to 1, the theoretical maximum, as shown in Figure 8, Figure 9 and Figure 10. The idea that a refractory without carbon would have a spectral emissivity so close to the theoretical maximum is unlikely, especially when compared to the findings in more recent studies (24,51). This casts doubt on the values calculated in these studies.…”
Section: Spectral Responsementioning
confidence: 81%
“…Jain makes reference to this in the body of the paper stating "emissivity of the magnesia-carbon refractory material, as it appears, decreases with increase in temperature due to continuous oxidation of carbon and the resultant increase in the porosity of the refractory surface due to prolonged heating." (51). This…”
Section: Currently Relevant Studies On Refractory Emissivitymentioning
confidence: 82%
“…The materials are also heated to 2300°K and the emissivity is assumed to be independent of temperature at this point (53). This is not shown to be the case in both Glaser's (2011) and Jain's (2015) studies and consequently this method is not applicable to the measurements required for accurate teeming ladle measurements (24,51). Elich (1995) presents a study of the refractories used in a glass melting furnace and measures the reflectivity of these refractories using the integrated sphere method, which is then used to calculate the emissivity (54).…”
Section: Spectral Responsementioning
confidence: 99%
“…Jain's (2015) study uses a similar testing method to Glaser's but the furnace used to heat the samples has been adapted so the door represents the refractory build of a teeming ladle (51). The sample size in Jain's study is 50mm x 30mm x 10mm and the pyrometer used is a Chino IR-AHS which has a spectral response of 0.96µm (60).…”
Section: Currently Relevant Studies On Refractory Emissivitymentioning
The key objective of the thesis was to quantify the heat loss caused to the liquid steel due to the cooling effect of the teeming ladle refractories. It was previously hypothesised that the in-situ degradation of insulation layer would increase this cooling effect. To determine the cooling effect of the degraded insulation material it was first thermally characterised with in-situ thermocouple measurements. Post-mortem samples were recovered from the teeming ladles used for the thermocouple measurements during their regular production cycles in a BOS plant. The post-mortem samples were then tested for their thermophysical properties. From this it was possible to determine the density increased from 260kg/m3 to 759.6 kg/m3, the thermal conductivity increased from 0.039W/m.K to 0.15W/m.K and the specific heat capacity decreased by 40% compared to its original state. These findings were then used to calculate the increased heat loss rate of the refractory material in the teeming ladle, which then in turn causes increased heat loss to the steel transported by the ladle. A thermal model was used to determine the heat flux stored in a fully saturated ladle and then different time periods of cooling with and without a lid. The effect of teeming ladle lids reduced the heat losses by up to 11°C per cycle compared to a ladle without a lid. Whereas the heat loss due to the insulative layer degradation was calculated to be <1°C for the initial heats before the ladle reached production temperatures and, therefore, had minimal effect. However, the degradation did show an increase in teeming ladle shell temperatures, which needs to be taken into account for service temperature monitoring. The thermal profiles of the modelled scenarios showed that if an accurate hot face measurement could be achieved it would be possible to accurately predict the cooling effect of each teeming ladle in production. This study was able to accurately measure the refractories and slag taken from a teeming and utilise the geometry of the ladle to reduce the error from thermal imaging. Previously predictions were used that could cause errors up to ±175°C when taking thermal images of the teeming ladle hot face. Through the method adopted in this study it was possible to take accurate measurements of the hot face within ±5°C. This can now be utilised by a thermal model to make accurate real time predictions of the heat loss caused by teeming ladle refractories. Thereby reducing the reheating required and improving the quality of steel produced.
Inner wall temperature of ladle is closely related to the quality of steelmaking and control of steel-making tapping temperature. This article adopts a rotating platform to drive an infrared temperature sensor and a laser sensor to scan the temperature field distribution of the ladle inner wall at the hot repair station, where the scanning laser sensor obtains coordinates of each measured point. Because of measuring errors of infrared thermal radiation caused by emissivity uncertainty of the ladle inner wall surface, this article proposes a method for temperature measurement based on Monte Carlo model for effective emissivity correction of each measured point. In the model, we consider the ladle and fire baffle as a cavity. By calculation of the model, the effect of distance from the fire baffle to the ladle and the material surface emissivity of the ladle inner wall on the effective emissivity of the cavity are obtained. After that, the effective emissivity of each measured point is determined. Then the scanning temperature of each measured point is corrected to real temperature. By field measuring test and verification contrast, the results show that: the maximum absolute error of the method in this article is 4.7 °C, the minimum error is 0.6 °C, and the average error is less than 2.8 °C. The method in this article achieves high measurement accuracy and contributes to the control of metallurgical process based on temperature information.
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