Abstract:The paper presents the results of calculations related to determination of temperature distributions in a steel pipe of a heat exchanger taking into account inner mineral deposits. Calculations have been carried out for silicate-based scale being characterized by a low heat transfer coefficient. Deposits of the lowest values of heat conduction coefficient are particularly impactful on the strength of thermally loaded elements. In the analysis the location of the thermocouple and the imperfection of its install… Show more
“…One of the problems associated with hot rolling is the emission of dust and gas pollutants to the atmosphere, especially nitrogen oxides NOx, sulfur oxides SOx, and aliphatic hydrocarbons. The main sources of air emissions from hot rolling mills are charge heating furnaces [49]. In hot rolling mills, a walking beam heating furnace is used; it is a device in which the metal charge is subject to the desired temperature changes over the appropriate period of time so that the metal achieves the required technological properties.…”
This paper presents an algorithm for modeling electricity and natural gas consumption in a walking furnace with the use of artificial intelligence and simulation methods, depending on the length of the rolling campaign and the established rolling program. This algorithm is the basis for the development of a proposal for a set of minimum requirements characterizing the Best Available Techniques (BAT) for beam furnaces intended for hot rolling, taking into account the requirements set out in national regulations and the recommendations described in the BREF reference documents. This information should be taken into account when drawing up an application for an integrated permit, as well as when setting emission limit values. Based on the constructed algorithm, it was shown that depending on their type and technical specification, the analyzed projects will offer measurable economic benefits in the form of reducing the amount of energy consumed by 1,076,400 kWh during the implementation of 50 rolling campaigns to reduce gas by 14,625 GJ and environmental benefits in the form of reduction of pollutant emissions into the atmosphere 80–360 g/Mg. The constructed algorithm was validated in the Dosimis-3 program, based on a discrete event-driven simulation. Thanks to this representation of the model, its user can interactively participate in changes that take place in the model and thus evaluate its behavior. The model, verified in real conditions, can be the basic source of information for making effective operational technological decisions related to the preparation of production at the rolling mill as part of planning and long-term activities.
“…One of the problems associated with hot rolling is the emission of dust and gas pollutants to the atmosphere, especially nitrogen oxides NOx, sulfur oxides SOx, and aliphatic hydrocarbons. The main sources of air emissions from hot rolling mills are charge heating furnaces [49]. In hot rolling mills, a walking beam heating furnace is used; it is a device in which the metal charge is subject to the desired temperature changes over the appropriate period of time so that the metal achieves the required technological properties.…”
This paper presents an algorithm for modeling electricity and natural gas consumption in a walking furnace with the use of artificial intelligence and simulation methods, depending on the length of the rolling campaign and the established rolling program. This algorithm is the basis for the development of a proposal for a set of minimum requirements characterizing the Best Available Techniques (BAT) for beam furnaces intended for hot rolling, taking into account the requirements set out in national regulations and the recommendations described in the BREF reference documents. This information should be taken into account when drawing up an application for an integrated permit, as well as when setting emission limit values. Based on the constructed algorithm, it was shown that depending on their type and technical specification, the analyzed projects will offer measurable economic benefits in the form of reducing the amount of energy consumed by 1,076,400 kWh during the implementation of 50 rolling campaigns to reduce gas by 14,625 GJ and environmental benefits in the form of reduction of pollutant emissions into the atmosphere 80–360 g/Mg. The constructed algorithm was validated in the Dosimis-3 program, based on a discrete event-driven simulation. Thanks to this representation of the model, its user can interactively participate in changes that take place in the model and thus evaluate its behavior. The model, verified in real conditions, can be the basic source of information for making effective operational technological decisions related to the preparation of production at the rolling mill as part of planning and long-term activities.
“…Based on equation (8), unknown value of temperature on the boundary of the cylinder was determined. Calculation model is described in detail in reference papers [2,19].…”
Section: Inverse Problemmentioning
confidence: 99%
“…Knowledge about the surface temperature allows the atmosphere in the furnace to be adjusted more precisely, which involves diffusion of relevant chemicals to heat treated steel and formation of a surface having desired properties [1]. Inverse problems are used to solve many engineering problems [4][5][6][7][8][9]. Temperature of the heated element can be determined by solving the inverse problem for the heat equation [2,[10][11][12][13][14].…”
Changes in heating time of a cylinder in the furnace for thermal and thermochemical treatments depending on the given heating rate is analysed in this paper. Temperature distributions from the axis to the boundary of the cylinder were determined based on solving non-stationary and non-linear inverse problem for the heat equation. Differences between the temperature on the boundary and along the cylinder axis for processes with the given heating rates from 5 to 10ᵒC/min were calculated. Twofold increase in the heating rate allowed the heating time to be reduced significantly. Increase in the heating rate had no impact on the difference between the temperature on the boundary and on the axis of the cylinder and on the quantity of energy being consumed by heating elements.
“…Straight through labyrinth seals are applied in steam turbines in spots far from the thrust bearings [1][2][3]. Inverse problems are widely applied to solve engineering problems [4][5][6][7][8][9][10][11][12]. In this paper the inverse problem related to the choice of the seal geometry to obtain minimal leakage is presented.…”
In this paper a method for reducing leakage in labyrinth seals is presented. This method is based on CFD calculations and consists in the analysis of the phenomenon of gas kinetic energy carry-over in chambers of the seal between gaps. It belongs to the group of geometrical inverse problems and is designed for seals of given outside dimensions. For straight through labyrinth seals it enables determining the number of teeth and their optimal arrangement. This method was developed based on numerical and experimental tests. Examples of numerical calculations presented in this paper prove that this method is effective for straight through seals. We obtained the reduction of leakage ranging from 8.7 to 9.4% relative to the initial geometry with no change in the outside dimensions of the seal.
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