Horizontal waste heat boiler and anti-slagging optimization method and system

By setting up screen baffles and streamlined baffles in horizontal waste heat boilers, the flue gas flow is optimized, and the problems of severe slag wear, low smoke settlement rate and slow flue gas heat exchange rate are solved, and efficient flue gas is achieved Waste heat recovery and long life of equipment.

CN119492034APending Publication Date: 2025-02-21KUNMING UNIV OF SCI & TECH

Patent Information

Application Number
CN202411535173.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-10-31
Publication Date
2025-02-21

AI Technical Summary

Technical Problem

In the prior art, horizontal waste heat boilers have problems such as severe slag wear in the component, low smoke settlement rate, and slow flue gas heat exchange rate during operation.

Method used

By adding screen baffles and streamlined baffles between the radiation chamber entrance and baffles of the horizontal waste heat boiler, the flue gas flow is optimized, and the contact area and time between the flue gas and the heat exchange tube screen is increased, thereby increasing the waste heat of the flue gas Recycling efficiency.

Benefits of technology

It effectively improves the recycling efficiency of waste heat of flue gas, reduces smoke exhaust temperature, reduces environmental pollution, extends the service life of the equipment, and reduces production costs.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention relates to the technical field of metallurgical equipment, and discloses a horizontal waste heat boiler and an anti-slagging optimization method and system.The system comprises an uptake flue, a radiation chamber, a convection chamber, an ash hopper, a baffle, a heat exchange tube panel, a sieve pore baffle and a streamline baffle; the method comprises the steps that a horizontal waste heat boiler numerical simulation model is built, and a baffle, a heat exchange tube panel and other components are subjected to model building according to the equal proportion of 1: 1; grid division is carried out on the built horizontal waste heat boiler numerical simulation model, and local flow characteristics and temperature distribution are captured; a multiphase mass point grid method is used, gas phase motion is described by adopting a volume average Navier-Stokes equation under an Euler framework, and particle motion is tracked by adopting a Newton second law under a Lagrange framework; and selecting a value simulation model and a value simulation method suitable for the gas-solid two-phase flow and heat exchange process of the waste heat boiler. The heat exchange capacity of the waste heat boiler is improved; the recovery rate of smoke particles is increased; and slagging of parts in the waste heat boiler is reduced.
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Description

Technical Field

[0001] The present invention relates to the technical field of metallurgical equipment, and in particular to a horizontal waste heat boiler, an anti-slagging optimization method and a system. Background Art

[0002] The large amount of waste heat emitted during industrial production is an important cause of global warming. Flue gas waste heat accounts for 50% of industrial waste heat and is widely distributed in metallurgy, chemical industry, building materials and other industries. At the same time, energy shortage is a serious problem in social development, and energy recovery and utilization has become the focus of attention in the energy industry. Waste heat boiler refers to a device that uses waste heat in industrial waste gas, waste materials or waste liquid to heat feed water and generate steam. It is the most important component in the waste heat recovery process. Therefore, the analysis and optimization of waste heat boiler operation has become the focus of waste heat utilization research at this stage. With the complexity of the waste heat boiler structure system and the variability of working conditions, the relevant dynamic characteristics are of great significance to the safe and efficient operation of waste heat boilers. However, in the actual production process, the waste gas (liquid) contains a large amount of solid particle impurities, which is a complex medium with multiple components. Particle impurities will form dust and slag on the surface of the heat exchange tube in different forms. The deposition of particles will lead to reduced waste heat recovery efficiency, low-load operation of waste heat boilers, or even forced shutdown. Therefore, it is necessary to optimize the structure of the waste heat boiler to reduce the wear of the waste heat boiler, improve the flue gas heat exchange efficiency and the smoke dust deposition rate.

[0003] Prior art 1, Chinese patent, application number: CN221593528U specifically relates to a module for controlling slagging of waste heat boiler in the process of hazardous solid waste disposal in an oxygen-enriched side-blowing furnace, belonging to the technical field of oxygen-enriched side-blowing furnaces, including an oxygen-enriched reactor, an extended feed pipe is installed on one side of the upper end of the oxygen-enriched reactor, an exhaust pipe is installed on the other side of the upper end of the oxygen-enriched reactor, a flow regulating frame is installed on the lower end of the exhaust pipe, a flow regulating structure is installed on the outer side of the flow regulating frame, an exhaust pipe is installed on the other side of the oxygen-enriched reactor, and a dust collecting box is installed on the other side of the exhaust pipe. The inclined oxygen inlet pipe can make oxygen, CO and carbon react more fully. Through the flow regulating frame, when the flue gas is about to enter the ascending flue, the flue gas flow direction is changed to prevent the mineral powder particles from directly entering the ascending flue and being captured by the melt. Although the cross-sectional area of ​​the flue gas channel can be flexibly controlled, the extended feed pipe is used to allow the feed to fully enter the molten pool and prevent the feed from being carried away by the flue gas in the air; however, the particle deposition during the operation of the waste heat boiler will lead to a low waste heat recovery rate.

[0004] Prior art 2, Chinese patent, application number: CN117422008A discloses a system and method for real-time monitoring and anti-slagging optimization of water-cooled wall of coal-fired boiler, including: DCS data processing module, CFD simulation calculation sample database module, POD fast reconstruction module, slagging evaluation module, anti-slagging optimization module and combustion state display module; firstly, the variable working condition numerical simulation of furnace combustion is performed in the CFD simulation calculation sample database module, and the calculated temperature and components are stored in the form of a matrix; the intrinsic orthogonal decomposition and neural network method are used to combine the DCS field data to realize high-precision real-time prediction of temperature and component distribution of any working condition; then, the fuzzy comprehensive evaluation method is used to realize the real-time prediction of water-cooled wall slagging tendency according to the predicted temperature component information and coal quality parameters; finally, the coal and air distribution mode is optimized with the help of genetic algorithm to realize water-cooled wall anti-slagging optimization. Although the high-precision real-time monitoring of water-cooled wall slagging tendency is realized to provide guidance for on-site operation personnel; however, the smoke dust deposition rate is not taken into account, resulting in a low smoke dust deposition rate during the production process.

[0005] Prior art three, Chinese patent, application number: CN118293437A discloses a coal powder anti-slagging combustion system, including: a boiler, the boiler has a furnace, the furnace is used to burn coal powder, and the furnace is provided with an adsorbent nozzle; a supply device, the supply device is connected to the adsorbent nozzle and supplies an anti-slagging adsorbent, so that the anti-slagging adsorbent is sprayed into the furnace through the adsorbent nozzle. By arranging the adsorbent nozzle in the furnace, the supply device is connected to the adsorbent nozzle and supplies the anti-slagging adsorbent, and the anti-slagging adsorbent is sprayed to the center of the flame or the surrounding space, the anti-slagging adsorbent can fully adsorb sodium vapor, and is more targeted. Although the utilization rate of the anti-slagging adsorbent is improved, the waste of the anti-slagging adsorbent is avoided, and the slagging phenomenon of the inner wall of the furnace is improved, the problem of serious slagging wear of the components is not taken into account.

[0006] At present, the existing technologies 1, 2 and 3 have the problems of serious slagging and wear of components, low smoke dust settling rate and slow heat exchange rate of smoke dust in the actual production process. Therefore, the present invention provides a horizontal waste heat boiler, an anti-slagging optimization method and system. Summary of the invention

[0007] The main purpose of the present invention is to provide a horizontal waste heat boiler, an anti-slagging optimization method and a system to solve the problems of severe slagging and wear of components, low smoke dust settling rate and slow flue gas heat exchange rate in the actual production process in the prior art.

[0008] To achieve the above object, the present invention provides the following technical solutions:

[0009] A horizontal waste heat boiler, comprising: an ascending flue, a radiation chamber, and a convection chamber;

[0010] The ascending flue is connected to the front smelting furnace to guide the flue gas and smoke into the radiation chamber; a set of sieve baffles is added between the radiation chamber entrance and the baffle; a set of streamlined baffles is added between the radiation chamber baffle and the heat exchange tube screen; a flue gas temperature monitor is installed at the radiation chamber outlet; the rear end of the heat exchange tube screen is connected to the convection chamber, and the heat exchange tube screen is installed inside the convection chamber.

[0011] As a further improvement of the present invention, the sieve hole baffle comprises: large sieve holes and small sieve holes; the large sieve holes are arranged in the upper half of the sieve hole baffle, and the small sieve holes are arranged in the lower half of the sieve hole baffle, the large sieve holes are arranged in two rows, and the small sieve holes are arranged in three rows.

[0012] As a further improvement of the present invention, the size and position of the sieve baffle are located 9m away from the left furnace wall of the radiation chamber; the baffle is 6m long, 0.3m wide and 10m high; the upper two rows of large sieve holes are 0.4m away from the top of the baffle, and 0.45m away from the left and right sides of the baffle, the radius of the large sieve holes is 0.7m, the left and right spacing of the large sieve holes is 0.45m, and the upper and lower spacing is 1.1m; the lower three rows of small sieve holes are 0.9m away from the upper large sieve holes, 0.6m away from the bottom of the baffle, and 0.4m away from the left and right sides of the baffle, the left and right spacing of the small sieve holes is 0.4m, the upper and lower spacing is 0.6m, and the radius of the small sieve holes is 0.5m.

[0013] As a further improvement of the present invention, the left side of the streamlined baffle is located directly below the baffle, is 4.2m long, 4.5m high, 2m wide at the bottom, and 7.64m wide at the top.

[0014] To achieve the above object, the present invention also provides the following technical solutions:

[0015] A horizontal waste heat boiler anti-slagging optimization method, comprising:

[0016] Construct a numerical simulation model of a horizontal waste heat boiler, preset different schemes for the inclination angle of the radiation chamber inlet wall, the position and plate spacing of the original baffle, the position of the salt-treated air nozzle, the position and aperture of the sieve baffle, the position and number of the heat exchange tube screens, and the radiation chamber outlet position; construct a model of the baffles, heat exchange tube screens and other components at a 1:1 ratio;

[0017] The constructed horizontal waste heat boiler numerical simulation model is meshed to capture the local flow characteristics and temperature distribution;

[0018] Using the multiphase particle grid method, the gas phase motion is described by the volume average equation under the Euler overhead; the real solid phase particles are packaged and analyzed as a whole of calculation particles. The real solid phase particles are taken as discrete elements and tracked in a Lagrangian manner. The numerical simulation model and method suitable for the gas-solid two-phase flow and heat transfer process of the horizontal waste heat boiler are selected.

[0019] As a further improvement of the present invention, the process of presetting different schemes includes:

[0020] According to the structure of the horizontal waste heat boiler, a numerical simulation model is established, including the geometric dimensions of the radiation chamber and basic information on material properties; the inlet of the rising flue is set as velocity and temperature boundary conditions, and the outlet of the waste heat boiler is set as a pressure boundary, and its value is a standard atmospheric pressure; the water-cooled wall and the heat exchange tube screen are both subject to constant temperature boundary conditions, and all wall surfaces are subject to no-slip boundary conditions and standard wall functions;

[0021] Numerical simulation calculations are performed based on boundary conditions to analyze the effects of plate gaps, salt-cured air nozzles, sieve baffles, heat exchange tube panels, and radiation chamber outlet position parameters on the flue gas-smoke flow field and temperature field, and corresponding positions are set based on the effects;

[0022] According to the numerical simulation results, it is verified whether each scheme can reach the preset numerical model value. After multiple iterations, the design scheme of the horizontal waste heat boiler numerical simulation model is finally determined.

[0023] As a further improvement of the present invention, numerical simulation calculation is performed according to the boundary conditions of the horizontal waste heat boiler, including:

[0024] The influence of plate gap, salt-cured air nozzle, sieve baffle, heat exchange tube screen, and radiation chamber outlet position on the flue gas flow trajectory and temperature is analyzed to obtain the best design; the priority of each device is set in the order of heat exchange tube screen, radiation chamber outlet position, sieve baffle, baffle gap and salt-cured air nozzle; among them, the boundary conditions include: configuration structure parameters, initial state parameters, environmental factors, heat transfer boundary conditions, mass transfer boundary conditions, radiation heat transfer calculation parameters and axial heat conduction influence;

[0025] Numerical simulation calculations are performed on horizontal waste heat boilers under different structural designs to obtain the variation rules of different attribute values ​​corresponding to different values ​​under the boundary conditions. Combined with the variation rules of different attribute values ​​corresponding to the attribute values ​​under the boundary conditions, the optimal parameter values ​​of the attribute values ​​under the boundary conditions are obtained; the placement positions of various devices are set according to the optimal parameter values; the attribute values ​​include position and quantity;

[0026] Simulate according to the placement of each device, compare the simulation results of different devices, set a threshold, and compare the comparison result with the threshold; if the comparison result is greater than the threshold, continue to simulate and adjust.

[0027] As a further improvement of the present invention, the process of meshing the horizontal waste heat boiler numerical simulation model includes:

[0028] Import the geometric data of the horizontal waste heat boiler numerical simulation model, set the meshing parameters, initial meshing, and perform numerical simulation calculations of the horizontal waste heat boiler; wherein, setting the meshing parameters includes setting the density of the mesh and the type of the mesh; the type of the mesh includes tetrahedron or hexahedron;

[0029] According to the numerical simulation calculation results of the horizontal waste heat boiler, the preliminary results of the flue gas-smoke flow and temperature distribution are obtained, and the areas where the flow and temperature change dramatically are identified; the mesh in the area where the change dramatically occurs is encrypted, and the encrypted mesh is recalculated; among them, the areas where the flue gas-smoke flow and temperature change dramatically include the areas near the baffle connection area and the heat exchange tube panel connection area;

[0030] Check whether the density distribution of the grid in different areas is reasonable. If not, the grid quality is judged to be unqualified and local optimization will be performed on the unqualified grid.

[0031] As a further improvement of the present invention, the process of selecting a horizontal waste heat boiler value simulation model and method includes:

[0032] Confirm the conservation equations for mass, momentum, and energy in the gas phase;

[0033] Identify expressions for heat transfer between the gas and the wall;

[0034] For the heat transfer of particles, the radiation heat transfer between the particles and the environment, the convection heat transfer between the gas phase, and the energy equation of the solid phase are considered.

[0035] To achieve the above object, the present invention also provides the following technical solutions:

[0036] A horizontal waste heat boiler anti-slagging optimization system, comprising:

[0037] The model building module is used for the numerical simulation model of the horizontal waste heat boiler. Different schemes are preset for the inclination angle of the radiation chamber inlet wall, the position and plate spacing of the original baffle, the position of the salt-treated air nozzle, the position and aperture of the sieve baffle, the position and number of the heat exchange tube screens, and the radiation chamber outlet position; the baffles, heat exchange tube screens and other components are modeled at a 1:1 ratio;

[0038] The meshing module is used to mesh the constructed horizontal waste heat boiler numerical simulation model to capture the local flow characteristics and temperature distribution;

[0039] The parameter selection module is used to use the multiphase particle grid method. The gas phase motion is described by the volume average equation under the Euler overhead; the real solid phase particles are packaged and analyzed as a whole of calculation particles. The real solid phase particles are used as discrete elements and tracked in a Lagrangian manner. The horizontal waste heat boiler numerical simulation model and method suitable for the gas-solid two-phase flow and heat exchange process of the waste heat boiler are selected.

[0040] The present invention can effectively guide and control the flow of flue gas, increase the contact area and time between flue gas and heat exchange tube screen, and improve the recovery efficiency of flue gas waste heat by setting structures such as ascending flue, radiation chamber, convection chamber, and adding sieve baffle and streamlined baffle between the entrance of radiation chamber and baffle. This corresponds to the practice in the prior art of improving the uniformity of flow field by optimizing flue structure, thereby improving the waste heat recovery efficiency; through effective flue gas waste heat recovery, the exhaust temperature can be significantly reduced, such as the boiler exhaust temperature mentioned in the prior art is reduced from 362°C to 330°C, which helps to improve the overall efficiency of the boiler. In addition, reducing the exhaust temperature also helps to reduce environmental pollution, which meets the national requirements for energy conservation and emission reduction. A flue gas temperature monitor is installed at the outlet of the radiation chamber. When the temperature of the flue gas entering the convection chamber is higher than 750°C, an alarm is sounded. This design can detect abnormal conditions in time, avoid possible safety accidents, and enhance the safety and reliability of the system. This embodiment innovatively designs the size and position of the sieve baffle and the streamlined baffle to destroy the "bridging" phenomenon between the heat exchange tube panels and solve the problem of severe smoke adhesion. It is of great significance to keep the equipment clean and extend the service life of the equipment. This embodiment can not only reduce energy consumption, but also reduce production costs and improve economic benefits by improving the waste heat recovery efficiency and reducing the exhaust temperature. This embodiment slows down the flow rate of flue gas through the sieve baffle to promote the separation of smoke particles, thereby achieving the purpose of enhancing the heat exchange between the flue gas and the water-cooled wall and increasing the sedimentation rate of smoke particles; reducing the slagging of molten smoke particles on the heat exchange tube panels in the radiation chamber. A streamlined baffle is added to the bottom of the radiation chamber. On the one hand, the smoke flowing in the lower part of the radiation chamber is diverted to the upper part of the radiation chamber, fully contacting with the heat exchange tube panels, and further strengthening the heat exchange of the smoke; on the other hand, more smoke particles are able to contact with the heat exchange tube panels and settle more in the radiation chamber, reducing the slagging caused by the adhesion of smoke particles in the convection chamber. The flue gas temperature monitor at the outlet of the radiation chamber can effectively monitor the temperature of the flue gas and clarify the accurate cleaning time in the waste heat boiler; it can improve the flue gas heat exchange efficiency; increase the recovery rate of smoke particles; and reduce the slagging of the internal components of the waste heat boiler. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 It is a functional module schematic diagram of an embodiment of a horizontal waste heat boiler of the present invention;

[0042] Figure 2This is a schematic diagram of the functional modules of an embodiment of the sieve baffle of the present invention;

[0043] Figure 3 A schematic diagram of the functional modules of an embodiment of the streamlined baffle of the present invention;

[0044] Figure 4 A schematic flow chart of the steps of an embodiment of a method for optimizing the anti-slagging of a horizontal waste heat boiler according to the present invention;

[0045] Figure 5 A schematic flow chart of the steps of presetting different schemes for one embodiment of the horizontal waste heat boiler anti-slagging optimization method of the present invention;

[0046] Figure 6 A schematic flow chart of the steps of meshing a horizontal waste heat boiler numerical simulation model in one embodiment of the horizontal waste heat boiler anti-slagging optimization method of the present invention;

[0047] Figure 7 A schematic flow chart of the steps of horizontal waste heat boiler value simulation selection in one embodiment of the horizontal waste heat boiler anti-slagging optimization method of the present invention;

[0048] Figure 8 It is a functional module schematic diagram of an embodiment of a horizontal waste heat boiler anti-slagging optimization system of the present invention;

[0049] Fig. 9 It is a structural schematic diagram of an embodiment of an electronic device of the present invention;

[0050] Fig.10 It is a schematic structural diagram of an embodiment of the storage medium of the present invention. DETAILED DESCRIPTION

[0051] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0052] The terms "first", "second" and "third" in the present invention are only used for descriptive purposes and cannot be understood as indicating or implying relative importance or implicitly indicating the number of indicated technical features. Therefore, the features defined as "first", "second" and "third" can explicitly or implicitly include at least one of the features. In the description of the present invention, the meaning of "multiple" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined. All directional indications (such as up, down, left, right, front, back...) in the embodiments of the present invention are only used to explain the relative position relationship, movement, etc. between the components under a certain specific posture (as shown in the accompanying drawings). If the specific posture changes, the directional indication also changes accordingly. In addition, the terms "including" and "having" and any of their variations are intended to cover other inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally also includes steps or units that are not listed, or optionally also includes other steps or units inherent to these processes, methods, products or devices.

[0053] Reference to an "embodiment" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiment may be included in at least one embodiment of the present invention. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0054] like Figure 1 As shown, this embodiment provides an embodiment of a horizontal waste heat boiler. In this embodiment, the horizontal waste heat boiler includes: an ascending flue 1, a radiation chamber 2, an ash hopper 3, a baffle 4, a heat exchange tube panel 5, a sieve baffle 6, a streamlined baffle 7, a convection chamber 8, and a heat exchange tube panel 9;

[0055] Among them, the ascending flue 1 is connected to the front-end smelting furnace to guide the flue gas and smoke into the radiation chamber 2; a group of sieve baffles 6 are added between the entrance of the radiation chamber 2 and the baffle 4; a group of streamlined baffles 7 are added between the baffle 4 of the radiation chamber 2 and the heat exchange tube screen 5; the radiation chamber 2 is connected to the ash hopper 3; a flue gas temperature monitor is installed at the outlet of the radiation chamber 2, and an alarm is issued when the temperature of the flue gas entering the flow chamber is higher than 750°C; the rear end of the heat exchange tube screen 5 is connected to the convection chamber 8, and the heat exchange tube screen 9 is installed inside the convection chamber 8.

[0056] Preferably, the working principle of this embodiment is as follows: the flue gas enters the radiation chamber 2 from the smelting furnace through the ascending flue 1, and the flue gas is cooled in the radiation chamber 2 to remove part of the ash and solid particles; the flue gas temperature is monitored in real time by the temperature monitoring device to ensure the safety of the equipment; after the heat exchange of the flue gas, the heat is transferred to the heat transfer medium to achieve the effect of recycling. This embodiment can effectively treat high-temperature flue gas, and through the combination of cold and heat exchange and smoke purification, it can not only reduce air pollution, but also improve energy efficiency through heat recovery. The monitoring and alarm mechanism also provides a guarantee for safety, ensuring safe and stable operation under high-temperature working conditions.

[0057] This embodiment can effectively guide and control the flow of flue gas by setting structures such as the rising flue 1, the radiation chamber 2, and the convection chamber 3, and adding a sieve baffle 6 and a streamlined baffle 7 between the entrance of the radiation chamber 2 and the baffle, thereby increasing the contact area and time between the flue gas and the heat exchange tube screen, thereby improving the recovery efficiency of the flue gas waste heat. This corresponds to the practice of improving the uniformity of the flow field by optimizing the flue structure in the prior art, thereby improving the waste heat recovery efficiency; through effective flue gas waste heat recovery, the exhaust temperature can be significantly reduced, such as the boiler exhaust temperature mentioned in the prior art from 362°C to 330°C, which helps to improve the overall efficiency of the boiler. In addition, reducing the exhaust temperature also helps to reduce environmental pollution, which meets the national requirements for energy conservation and emission reduction. A flue gas temperature monitor is installed at the outlet of the radiation chamber 2. When the flue gas temperature entering the convection chamber 8 is higher than 750°C, an alarm is issued. This design can detect abnormal conditions in time, avoid possible safety accidents, and enhance the safety and reliability of the system. This embodiment innovatively designs the size and position of the mesh baffle 6 and the streamlined baffle 7 to destroy the "bridge" phenomenon between the smoke screens and solve the problem of severe smoke adhesion. It is of great significance to keep the equipment clean and extend the service life of the equipment. This embodiment can not only reduce energy consumption, but also reduce production costs and improve economic benefits by improving the waste heat recovery efficiency and reducing the exhaust temperature. This embodiment slows down the flow rate of the flue gas through the mesh baffle 6 to promote the separation of the smoke particles, thereby achieving the purpose of enhancing the heat exchange between the flue gas and the water-cooled wall and increasing the sedimentation rate of the smoke particles; reducing the slagging of the molten smoke particles on the heat exchange tube screen of the radiation chamber. A streamlined baffle 7 is added to the bottom of the radiation chamber 2. On the one hand, the smoke flowing in the lower part of the radiation chamber 2 is diverted to the upper part of the radiation chamber 2, fully contacting with the heat exchange tube screen 9, and further strengthening the heat exchange of the smoke; on the other hand, more smoke particles are able to contact with the heat exchange tube screen 9, and more are settled in the radiation chamber 2, reducing the slagging caused by the adhesion of smoke particles in the convection chamber 8. The flue gas temperature monitor at the outlet of radiation chamber 2 can effectively monitor the temperature of the flue gas and clarify the accurate cleaning time in the waste heat boiler; improve the flue gas heat exchange efficiency; increase the recovery rate of smoke particles; and reduce slagging of the internal components of the waste heat boiler.

[0058] In this embodiment, the flow velocity of the flue gas is slowed down by the sieve baffle, and the separation of the smoke particles is promoted, so as to enhance the heat exchange between the flue gas and the water-cooled wall and increase the settling rate of the smoke particles; reduce the slagging of the molten smoke particles on the heat exchange tube screen of the radiation chamber; a streamlined baffle is added to the bottom of the radiation chamber, on the one hand, to guide the flue gas flowing in the lower part of the radiation chamber to the upper part of the radiation chamber, so as to fully contact with the heat exchange tube screen and further enhance the heat exchange of the flue gas; on the other hand, more smoke particles are able to contact with the heat exchange tube screen and settle more in the radiation chamber, thereby reducing the slagging caused by the adhesion of smoke particles in the convection chamber; the smoke temperature monitor at the outlet of the radiation chamber can effectively monitor the temperature of the smoke and clarify the accurate cleaning time in the waste heat boiler; the smoke heat exchange efficiency is improved; the recovery rate of smoke particles is increased; and the slagging of the internal components of the waste heat boiler is reduced.

[0059] Further, such as Figure 2 As shown, the sieve hole baffle 6 specifically includes: large sieve holes 10 and small sieve holes 11; the large sieve holes 10 are arranged in the upper half of the sieve hole baffle 6, and the small sieve holes 11 are arranged in the lower half of the sieve hole baffle 6, the large sieve holes 10 are arranged in two rows, and the small sieve holes 11 are arranged in three rows.

[0060] Preferably, the working principle of this embodiment is as follows: through the mesh baffle 6, when the flue gas passes through the mesh baffle 6, it first contacts the large mesh holes 10 in the upper part, and then continues to flow to the small mesh holes 11, dividing the entire flow process into two stages: particle separation: the design of the large mesh holes 10 allows larger solid particles (such as coarser smoke and fly ash) to pass smoothly, while smaller particles are intercepted here, reducing the entry of larger particles into the downstream flow system; the small mesh holes 11 further filter and intercept smaller solid particles, ensuring that the content of particulate matter is reduced as much as possible during the inflow of flue gas, keeping the upstream system clean.

[0061] The large sieve holes 10 of this embodiment can efficiently intercept larger solid particles and smoke, preventing them from continuing to enter the downstream environment or equipment; the appropriate sieve hole size design can prevent excessive flow resistance while maintaining the fluidity of the flue gas. Significance: Reduces the risk of wear and blockage, improves the reliability and service life of the entire system, and helps to improve the processing efficiency of the system. The small sieve holes 11 are aimed at smaller particles. This part of the sieve holes provides a higher surface area through a multi-row design, which increases the particle retention efficiency; the design of the small sieve holes 11 can improve the accuracy of flue gas treatment and achieve more detailed filtration. Significance: Ensures that fine particles in the flue gas are effectively filtered, reduces the concentration of inhalable particulate matter (such as PM2.5) in the exhaust, and helps to meet environmental protection standards and improve air quality.

[0062] In summary, the mesh baffle 6 of this embodiment greatly improves the filtration efficiency through the design of different apertures; processes particles of different types and sizes to enhance the cleanliness of flue gas; reduces the damage of large and small particles to downstream key equipment (such as heat exchange tube screens and convection chambers), prevents equipment blockage, corrosion or other damage, and ensures the stable operation of the system; improves air quality by controlling solid particles in emissions, complies with environmental regulations, and promotes sustainable development. Since the need for equipment failure and maintenance is reduced, the overall operating cost and downtime cost are effectively controlled, thereby improving economic benefits; through the above structural and performance analysis, the mesh baffle 6 plays a vital role in the flue gas treatment and heat exchange system, which helps to achieve more efficient solid particle filtration and system protection, thereby promoting the coordinated development of safety, environmental protection and economy.

[0063] In this embodiment, the size and position of the sieve baffle 6 are located 9m away from the left furnace wall of the radiation chamber 2; the baffle 4 is 6m long, 0.3m wide and 10m high; the upper two rows of large sieve holes are 0.4m away from the top of the baffle 4, and 0.45m away from the left and right sides of the baffle 4, the radius of the large sieve holes is 0.7m, the left and right spacing of the large sieve holes is 0.45m, and the upper and lower spacing is 1.1m; the lower three rows of small sieve holes are 0.9m away from the upper large sieve holes, 0.6m away from the bottom of the baffle 4, and 0.4m away from the left and right sides of the baffle 4, the left and right spacing of the small sieve holes is 0.4m, the upper and lower spacing is 0.6m, and the radius of the small sieve holes is 0.5m.

[0064] Furthermore, if Figure 3 As shown, the left side of the streamlined baffle 7 is located directly below the baffle 4, is 4.2 m long, 4.5 m high, 2 m wide at the bottom, and 7.64 m wide at the top.

[0065] Preferably, the working principle of this embodiment: the main function of the streamlined baffle 7 is to effectively guide and optimize the flow of flue gas; the design of its geometric shape enables the baffle to not only change the flow direction of the flue gas, but also reduce the flow resistance and improve the fluid dynamics performance. The specific working principle is as follows: the shape of the streamlined baffle 7 can guide the flue gas to move along a specific flow trajectory, thereby reducing the generation of flow chaos and vortexes. When the flue gas passes through the baffle, it will follow a specific streamline, thereby improving the stability of the flow; the streamlined design can reduce the turbulence of the flow, reduce the energy loss in the flue gas flow, and allow the flue gas in the system to flow more smoothly; smooth flow can effectively reduce flow noise and energy consumption; through good airflow guidance, the streamlined baffle helps to improve the heat exchange efficiency with the heat exchange tube screen 5; unobstructed flue gas flow helps to effectively transfer heat, thereby improving the heat recovery capacity of the entire system.

[0066] Through the streamlined design, the flow loss and vortex phenomenon of this embodiment are significantly reduced, making the flue gas flow more stable and smooth, thereby improving the overall fluid dynamic performance of the system; reducing the pressure loss and energy consumption in the system, thereby reducing the power demand for the fan or smoke extraction device; significantly reducing energy consumption during long-term operation and improving economic benefits; the streamlined baffle 7 optimizes the flue gas flow direction, making the heat exchange process more efficient, maximizing the heat energy recovery of the flue gas, and thereby improving the thermal efficiency of the system. Significance: Optimizing the flue gas flow direction and reducing the flow resistance improve the efficiency of heat exchange and flue gas treatment as a whole, which is crucial for energy conservation and emission reduction in industrial processes; by improving the heat exchange efficiency, the streamlined baffle can effectively recover heat energy, reduce the temperature and amount of exhaust gas emissions, and thus help to reduce the negative impact on the environment and promote sustainable development; because it reduces energy consumption and improves system efficiency, the enterprise can obtain actual economic benefits in terms of operating costs. At the same time, it extends the service life of the equipment and reduces the maintenance and replacement costs; through good flue gas flow management, it reduces system failures and potential safety hazards caused by poor flow, and ensures the safety of system operation.

[0067] The streamlined baffle 7 of this embodiment significantly improves the fluid guidance and flow efficiency in the flue gas treatment and heat exchange system through its specific structural design. It not only improves the flue gas flow characteristics, but also promotes energy saving and consumption reduction by improving the heat exchange efficiency, which has important economic, environmental and safety significance.

[0068] like Figure 4 As shown, this embodiment also provides an embodiment of a horizontal waste heat boiler anti-slagging optimization method. In this embodiment, the horizontal waste heat boiler anti-slagging optimization method is applied to the horizontal waste heat boiler in the above embodiment. The horizontal waste heat boiler anti-slagging optimization method includes the following steps:

[0069] Step S1: construct a numerical simulation model of a horizontal waste heat boiler, preset different schemes for the inclination angle of the radiation chamber inlet wall, the position and plate spacing of the original baffle, the position of the salted air nozzle, the position and aperture of the sieve baffle, the position and number of the heat exchange tube screens, and the radiation chamber outlet position; construct a model of the baffle, heat exchange tube screen and other components at a 1:1 ratio;

[0070] Step S2: meshing the constructed horizontal waste heat boiler numerical simulation model to capture local flow characteristics and temperature distribution;

[0071] Step S3: Using the multiphase particle grid method, the gas phase motion is described by the volume average equation under the Euler overhead; the real solid phase particles are packaged and analyzed as a whole of calculated particles, and the real solid phase particles are taken as discrete elements and tracked in a Lagrangian manner. The baffle value simulation model suitable for the gas-solid two-phase flow and heat transfer process of the waste heat boiler and the horizontal waste heat boiler numerical simulation method are selected.

[0072] Preferably, step S1 of this embodiment constructs a numerical simulation model of a horizontal waste heat boiler. By presetting a variety of design schemes, it can be flexibly adjusted according to different working conditions and actual needs; the 1:1 proportional model construction ensures the accuracy of the simulation results and provides a reliable basis for numerical analysis; the baffle angle, position, spacing, etc. can be adjusted to analyze its influence on flue gas flow, heat exchange and slagging to achieve the best design. Significance: By constructing the model, the key factors leading to slagging can be systematically discovered, providing a basis for subsequent targeted optimization; it helps to improve design efficiency, shorten experimental verification time, and reduce the cost and risk caused by physical model experiments. Step S2 meshing and local flow feature capture, through meshing, can better capture local details in the flow, such as turbulent characteristics, temperature changes, etc.; suitable mesh density can improve the accuracy and efficiency of numerical calculations, making the simulation results more realistic. Significance: The rationality of meshing is crucial to the quality of the entire simulation results, and can effectively improve the accuracy of slagging prediction; by capturing local flow characteristics, the relationship between fluid behavior and slagging formation can be better understood, providing data support for subsequent optimization. Step S3 Multiphase particle grid method and gas turbulence solution, by introducing the multiphase particle grid method, the interaction and movement of the gas phase and the solid phase and its influence on the temperature distribution can be considered at the same time; the large eddy simulation (LES) method can more accurately describe the turbulent characteristics of the gas and have a deeper understanding of the real air flow characteristics; solid phase particles are tracked as discrete elements, and the movement trajectory and sedimentation trend of the particles are analyzed in a Lagrangian manner, so as to deeply understand the slagging process. Significance: It can accurately simulate the coupling behavior of gas and particles, and provide detailed flow field and thermal field analysis for slagging phenomenon; through a comprehensive analysis of gas-solid flow characteristics, it is helpful to formulate more effective anti-slagging measures, thereby improving the operating efficiency and safety of waste heat boilers.

[0073] This embodiment constructs a detailed horizontal waste heat boiler numerical simulation model, which takes into account the different schemes of the inclination angle of the radiation chamber inlet wall, the baffle position and plate spacing, the salting air nozzle position, the sieve baffle position and aperture, the heat exchange tube screen position and number, and the radiation chamber outlet position. The accuracy and practicality of the model are ensured by constructing components such as baffles and heat exchange tube screens at a 1:1 ratio. By meshing the constructed horizontal waste heat boiler numerical simulation model, the local flow characteristics and temperature distribution are captured. The meshing method helps to more accurately simulate the behavior of fluids in complex geometric structures, thereby improving the accuracy of the simulation results. The multiphase particle grid method is used in the method, and the gas phase motion is described by the volume average equation under the Euler overhead; the real solid phase particles are "packaged" and analyzed as a whole of a calculation particle, and the real solid phase particles are used as discrete elements and tracked in a Lagrangian manner; the horizontal waste heat boiler numerical simulation model and method suitable for the gas-solid two-phase flow and heat exchange process of the waste heat boiler can effectively simulate the gas-solid two-phase flow and heat exchange process.

[0074] In summary, this embodiment can systematically optimize the various design parameters of the horizontal waste heat boiler and significantly reduce the risk of slagging through the implementation of the above steps; achieve more efficient heat exchange, and improve the overall thermal efficiency of the boiler by reducing the negative impact of slagging on the heat transfer performance; reducing slagging also helps to reduce combustion emissions and the release of pollutants, which meets the requirements of modern industry for environmental protection; by avoiding frequent cleaning and equipment damage caused by slagging, the operating and maintenance costs are reduced, and the economic benefits are improved; through numerical simulation and modeling, an efficient and accurate anti-slagging solution is provided for the horizontal waste heat boiler, thereby improving its operating safety, economy and environmental protection.

[0075] Furthermore, if Figure 5 As shown, the process of presetting different schemes in step S1 specifically includes the following steps:

[0076] Step S11: according to the structure of the waste heat boiler, a numerical simulation model of a horizontal waste heat boiler is established, including basic information such as the geometric dimensions and material properties of the radiation chamber; boundary conditions of the horizontal waste heat boiler, temperature, pressure, flow rate, etc. of the inlet wall are set;

[0077] Step S12: numerical simulation calculation is performed according to the boundary conditions of the horizontal waste heat boiler to analyze the influence of the plate gap, salted air nozzle, sieve baffle, heat exchange tube panel, and parameters at the outlet of the radiation chamber on the flow field and temperature field of the radiation chamber, and the corresponding position is set according to the influence;

[0078] Step S13: According to the numerical simulation results, verify whether each scheme can reach the preset numerical model value, and finally determine the design scheme of the horizontal waste heat boiler numerical simulation model through multiple iterations.

[0079] Preferably, step S11 of this embodiment establishes a numerical simulation model of a horizontal waste heat boiler, which can describe its geometric dimensions, material properties and other important information in detail; provides a real basis for numerical simulation; sets boundary conditions such as the temperature, pressure and flow rate of the inlet wall, so that the model can better reflect the actual operating conditions and ensure the accuracy of the simulation results. Significance: Model construction will lead to misleading simulation results, and an accurate physical model is the basis for optimization work; after establishing a real physical model, the working conditions of the horizontal waste heat boiler can be effectively predicted and analyzed, providing a reliable basis for subsequent parameter optimization. Step S12 numerical simulation calculation and analysis, by numerically simulating the boundary conditions of the horizontal waste heat boiler, it is possible to understand the influence of different factors (such as plate gap, salted air nozzle, sieve baffle, heat exchange tube screen and radiation chamber outlet parameters) on the flow field and temperature field; the simulation calculation results can help identify which parameters have a significant impact on fluid flow and heat transfer effects, so as to perform targeted optimization. Significance: Numerical simulation analysis enables designers to predict the performance of various design solutions without the need for physical testing, saving time and cost; by summarizing the flow field and temperature field results of different design solutions, it can provide clear guidance for the optimization direction and prioritize and adjust the design parameters. Step S13 verifies the solution and iterates the optimization. Through the numerical simulation results, it verifies whether each solution can meet the predetermined numerical model design requirements to ensure the feasibility of the design solution; through the analysis and feedback of the simulation results, multiple iterations are performed to further adjust the design parameters, thereby continuously improving the performance of the model design. Significance: The continuous iteration and verification process can ensure the effectiveness and efficiency of the final solution in actual operation and clarify which design solutions are the best; the verification and iteration process establishes a scientific design process that can be used for optimization exploration of similar projects in the future, thereby promoting the improvement of overall design efficiency.

[0080] In summary, the heat exchange capacity of the horizontal waste heat boiler of this embodiment has been significantly improved, which has the following overall significance: by optimizing the flow field and temperature distribution in the radiation chamber, the heat exchange efficiency of the boiler can be improved and energy consumption can be reduced; through reasonable design, the risk of slagging can be effectively reduced and the subsequent maintenance cost can be reduced; the optimized design not only improves the operating performance, but also enhances the safety under working conditions such as temperature and pressure, and avoids potential safety hazards; by reducing maintenance frequency and energy consumption, the optimized design can bring obvious economic benefits to operators. The preset different schemes will eventually form a more optimized horizontal waste heat boiler design through gradual and detailed model construction, simulation analysis and iterative verification, laying the foundation for the efficient operation of the horizontal waste heat boiler.

[0081] Furthermore, the numerical simulation calculation according to the boundary conditions of the horizontal waste heat boiler in step S12 specifically includes the following steps:

[0082] Step S121: Analyze the influence of plate gap, salt-cured air nozzle, sieve baffle, heat exchange tube screen, and radiation chamber outlet on flow rate and temperature, and obtain the boundary conditions of the horizontal waste heat boiler; set the priority of each device in the order of heat exchange tube screen, radiation chamber outlet, sieve baffle, plate gap and salt-cured air nozzle; wherein the boundary conditions of the horizontal waste heat boiler include: configuration structure parameters, initial state parameters, environmental factors, heat transfer boundary conditions, mass transfer boundary conditions, radiation heat transfer calculation parameters and axial heat conduction influence, etc.;

[0083] Step S122: numerically simulate and calculate the boundary conditions of the horizontal waste heat boiler to obtain the variation rules of different attribute values ​​corresponding to different values ​​under the boundary conditions, and combine the variation rules of different attribute values ​​corresponding to the attribute values ​​under the boundary conditions to obtain the optimal parameter value of the attribute value under the boundary conditions; set the placement position of each device according to the optimal parameter value; wherein the attribute value includes position and quantity;

[0084] Step S123: Simulate according to the placement of each device, compare the simulation results of different devices, set a threshold, and compare the comparison result with the threshold; if the comparison result is greater than the threshold, continue the simulation adjustment.

[0085] Preferably, step S121 of this embodiment analyzes the influence of the boundary conditions of the horizontal waste heat boiler. By analyzing the plate gap, salting air nozzle, sieve baffle, heat exchange tube screen and radiation chamber outlet, it can be clear which factors have a significant impact on the flow field and temperature field of the radiation chamber, so as to focus on the equipment and parameters; by evaluating the influence of each component on the flow and temperature, it can provide priorities for subsequent equipment settings, which helps to optimize the design process. Significance: By analyzing the influence of different components, clear priorities are set for the entire design scheme, making subsequent optimization more effective; ensuring that resources (time, funds and computing power) are used preferentially for components with greater influence during optimization, thereby improving the efficiency of the overall design. Step S122 obtains the optimal parameter value and sets the equipment position. Through numerical simulation calculations, the change law of attribute values ​​such as flow field and temperature field under different boundary conditions is obtained to provide tendency data for subsequent decision-making; combined with the change law of the obtained attribute values, the parameter value that can achieve the best heat exchange and flow effect is identified to provide a basis for the placement of equipment. Significance: Through comparison and analysis, the optimal parameter values ​​are obtained, which provides data support and scientific basis for the design scheme; the reasonable configuration of the location and parameters of the equipment can better meet the heat exchange requirements in the radiation room and improve the overall efficiency of the system. Step S123 simulation and threshold comparison, through the simulation of the placement and configuration of different equipment, can obtain performance data under different conditions, providing comparable data for subsequent optimization; by setting performance thresholds and comparing with the simulation results, it is possible to quickly identify which configurations can meet the design requirements and which need to be adjusted. Significance: By comparing the thresholds, it is ensured that the design scheme performs well in actual operation, forming a sustainable optimization cycle; the potential risks of the actual configuration and its results can be quickly discovered. If the threshold is exceeded, it means that further design adjustments are needed to reduce the risk of design failure.

[0086] In summary, each step of this embodiment has targeted analysis, which improves the scientific nature of the horizontal waste heat boiler design; by reasonably setting the priority and threshold comparison, the designer can find the best solution in a shorter time, accelerating the development and implementation process; the optimized design has better fluid and heat transfer performance, thereby improving the overall efficiency and operational safety of the boiler; the in-depth analysis and optimization of the boundary conditions of the horizontal waste heat boiler can provide a reference for the design of similar types of boilers and promote research in related fields more widely. It promotes the process of horizontal waste heat boiler design and optimization from different angles, making it more scientific, efficient and operational.

[0087] Furthermore, the process of setting the priority of each device in step S121 specifically includes the following steps:

[0088] Step S1211: by consulting literature, preliminary influencing factors are identified for the heat exchange tube screen, radiation chamber outlet, sieve baffle, plate gap, and salt-cured air nozzle in the horizontal waste heat boiler, and preliminary parameters in the radiation chamber application are obtained;

[0089] Step S1212: Use an anemometer and a flow meter to measure the flow change of each device under different working conditions, and the air flow rate ejected by the salting air nozzle at different angles and pressures; obtain the heat flux density data between the heat exchange tube panel and the fluid through a thermocouple and a heat flow meter, and the results under multiple working conditions reflect the heat transfer performance; use numerical simulation tools to simulate the influence of different equipment layouts on the temperature field, and record the heat distribution;

[0090] Step S1213: Count the performance of each device in multiple performance indicators (such as heat exchange efficiency, flow distribution and pressure loss), and calculate the weight according to the relative contribution; use linear regression to evaluate the interaction between devices, identify which devices have a significant impact on the performance of other devices, and adjust the corresponding weights;

[0091] The ranking result may be: heat exchange tube panel - ranked first due to its core role in heat exchange; radiation chamber outlet - the key lies in the stability and uniformity of airflow; sieve baffle - controls the airflow path and helps to improve efficiency; plate gap - affects the flow characteristics of the system and needs to be kept reasonably configured; salt air nozzle - although necessary, its impact is relatively small.

[0092] Preferably, the identification of preliminary influencing factors in step S1211 of this embodiment can quickly understand the basic functions and preliminary influencing factors of each device in the horizontal waste heat boiler by consulting relevant literature, providing a theoretical basis for subsequent experiments and simulations; obtaining preliminary parameters is helpful to determine the direction of experiments and simulations, and avoid unnecessary waste of resources. The significance achieved: ensuring the scientificity and accuracy of experiments and simulations; clarifying the research direction, helping to focus on key issues and improve research efficiency. Step S1212 measurement and simulation, through anemometers, flow meters, thermocouples and heat flux meters, can accurately measure the flow changes and heat flux density of each device under different working conditions, and obtain actual data; using numerical simulation tools, it is possible to simulate the impact of different equipment layouts on the temperature field, record the heat distribution, and provide a basis for optimizing the equipment layout. The significance achieved: through actual measurement and simulation, a large amount of data is obtained, which provides a solid foundation for subsequent analysis; by simulating the impact of different layouts on the temperature field, the equipment layout can be optimized and the overall performance of the system can be improved. Step S1213: Statistics and evaluation: Statistics the performance of each device in multiple performance indicators, comprehensively evaluate the comprehensive performance of each device; calculate weights through relative contributions, and use linear regression to evaluate the interaction between devices, identify key devices and their impact on other devices. Significance achieved: Through scientific statistics and evaluation, the priority ranking of each device is obtained, providing a scientific basis for device configuration in practical applications; identifying the device with the greatest impact on system performance helps to optimize configuration in practical applications and improve the overall efficiency and stability of the system.

[0093] In summary, this embodiment can not only scientifically identify and evaluate the influencing factors of each device, but also optimize the equipment layout and configuration, and improve the overall performance and stability of the system. It not only helps to improve the working efficiency of the radiation room, but also provides valuable experience and data support for the optimization design of similar systems.

[0094] Furthermore, setting the placement positions of various devices according to the optimal parameter values ​​in step S122 specifically includes the following steps:

[0095] Step S1221: Analyze the influence of plate gap, salt-cured air nozzle, sieve baffle, heat exchange tube screen, and radiation chamber outlet on flow rate and temperature, and obtain the boundary conditions of the horizontal waste heat boiler; set the priority of each device in the order of heat exchange tube screen, radiation chamber outlet, sieve baffle, plate gap and salt-cured air nozzle; wherein the boundary conditions of the horizontal waste heat boiler include: configuration structure parameters, initial state parameters, environmental factors, heat transfer boundary conditions, mass transfer boundary conditions, radiation heat transfer calculation parameters and axial heat conduction influence, etc.;

[0096] Step S1222: numerically simulate and calculate the boundary conditions of the horizontal waste heat boiler to obtain the variation rules of different attribute values ​​corresponding to different values ​​under the boundary conditions, and combine the variation rules of different attribute values ​​corresponding to the attribute values ​​under the boundary conditions of the horizontal waste heat boiler to obtain the optimal parameter value of the attribute value under the boundary conditions; set the placement position of each device according to the optimal parameter value; wherein the attribute value includes position and quantity;

[0097] Step S1223: Simulate according to the placement of each device, compare the simulation results of different devices, set a threshold, and compare the comparison result with the threshold; if the comparison result is greater than the threshold, continue simulation adjustment;

[0098] Among them, the process of obtaining the placement position of the plate gap device: the plate gap device structural parameters form a plate gap data set, one plate gap data set corresponds to a plate gap configuration file, the plate gap configuration file is input into the plate gap subroutine, the plate gap subroutine is run, and the horizontal waste heat boiler boundary conditions are obtained according to the plate gap device structural parameters and the initial working state; wherein, the plate gap device structural parameters include the size and position of the plate spacing; the size of the plate spacing is between 0.35 mm and 0.5 mm; the position of the plate spacing should avoid being set in the section with poor heat exchange performance; according to the horizontal waste heat boiler boundary conditions, the influence of multiple plate gap configuration device structural parameters on the flow field and temperature field is tested, and the influence results of multiple plate gap configuration device structural parameters on the flow field and temperature field are obtained; according to the test results of multiple plate gap configuration device structural parameters, the threshold of the influence of the plate gap configuration device structural parameters on the flow field and temperature field is set, and the test influence result and the threshold are compared. If the test influence result is greater than the threshold, continue to adjust; if the test influence result is less than the threshold, set the plate gap position and size; wherein, the threshold for comparison is the data reached by the flow field and the temperature field at the same time. By forming a plate gap data set and configuration file, inputting them into the plate gap subroutine, and according to the structural parameters of the plate gap device (such as the size and position of the plate gap) and the initial working state, the boundary conditions of the horizontal waste heat boiler are obtained. This process helps to optimize the structural design of the plate gap device and ensure its performance under specific working conditions. By testing the influence of the structural parameters of multiple plate gap configuration devices on the flow field and temperature field, the specific influence results of the parameters on the flow field and temperature field are obtained. It helps to identify which parameters have the greatest impact on the performance of the heat exchanger, thereby providing data support for subsequent optimization. By setting the threshold of the influence of the structural parameters of the plate gap configuration device on the flow field and temperature field, and comparing the test influence results with the threshold, if the test influence result is greater than the threshold, continue to adjust; if the test influence result is less than the threshold, set the plate gap position and size. Ensure that the structural parameters of the plate gap device can meet specific performance requirements, while avoiding unnecessary adjustments, thereby improving design efficiency.

[0099] The process of obtaining the placement position of the salt-treated air nozzle is as follows: the structural parameters of the salt-treated air nozzle device form a salt-treated air nozzle data set, and a salt-treated air nozzle data set corresponds to a salt-treated air nozzle configuration file. The salt-treated air nozzle configuration file is input into the salt-treated air nozzle subroutine, and the salt-treated air nozzle subroutine is run. According to the structural parameters of the salt-treated air nozzle device and the initial working state, the boundary conditions of the horizontal waste heat boiler are obtained; wherein the structural parameters of the salt-treated air nozzle device include the contraction angle, the aspect ratio, the contraction section length, the diameter of the nozzle and the position of the salt-treated air nozzle device; according to the boundary conditions of the horizontal waste heat boiler, the influence of multiple structural parameters of the salt-treated air nozzle device on the flow field and the temperature field is tested, and the influence results of multiple structural parameters of the salt-treated air nozzle device on the flow field and the temperature field are obtained; according to the test results of multiple structural parameters of the salt-treated air nozzle device, the threshold of the influence of the structural parameters of the salt-treated air nozzle device on the flow field and the temperature field is set, and the test influence result is compared with the threshold. If the test influence result is greater than the threshold, the adjustment is continued; if the test influence result is less than the threshold, the position of the salt-treated air nozzle is set; wherein, the threshold for comparison is the data reached by the flow field and the temperature field at the same time. By forming a salted wind nozzle data set and configuration file, the parameters are input into the salted wind nozzle subroutine, and after running, the boundary conditions of the horizontal waste heat boiler are obtained according to the device structural parameters and the initial working state. This embodiment provides accurate initial conditions for flow field and temperature field analysis through precise parameter setting and calculation; by testing the influence of multiple salted wind nozzle device structural parameters on the flow field and temperature field, the specific influence results of these parameters are obtained. Through experiments and simulations, the influence of different structural parameters on the flow field and temperature field is quantified, providing data support for subsequent optimization design. In step S10226, a threshold is set according to the test results, and compared with the actual test impact results. If the test result is greater than the threshold, continue to adjust; if it is less than the threshold, set the position of the salted wind nozzle. By setting a reasonable threshold, it is ensured that the structural parameters of the salted wind nozzle can meet the requirements of the flow field and temperature field, thereby optimizing the design and performance of the nozzle.

[0100] The process of obtaining the placement position of the sieve baffle: the structural parameters of the sieve baffle device form a sieve baffle data set, and one sieve baffle data set corresponds to a sieve baffle configuration file. The sieve baffle configuration file is input into the sieve baffle subroutine, and the sieve baffle subroutine is run. According to the structural parameters of the sieve baffle device and the initial working state, the boundary conditions of the horizontal waste heat boiler are obtained; wherein, the structural parameters of the sieve baffle device include the position and aperture of the sieve baffle; according to the boundary conditions of the horizontal waste heat boiler, the influence of multiple sieve baffle device structural parameters on the flow field and the temperature field is tested, and the influence results of multiple sieve baffle structural parameters on the flow field and the temperature field are obtained; according to the test results of multiple sieve baffle device structural parameters, the threshold of the influence of the sieve baffle device structural parameters on the flow field and the temperature field is set, and the test influence result is compared with the threshold. If the test influence result is greater than the threshold, the adjustment is continued; if the test influence result is less than the threshold, the position of the sieve baffle is set; wherein, the threshold for comparison is the data reached by the flow field and the temperature field at the same time. This embodiment forms a sieve baffle data set and configuration file, inputs the parameters into the sieve baffle subroutine, and after running, derives the boundary conditions of the horizontal waste heat boiler according to the device structural parameters and initial state. Ensure that the structural parameters of the sieve baffle device can be accurately applied and adjusted, thereby affecting the distribution of the flow field and temperature field. Specific test results are obtained by testing the effects of multiple sieve baffle device structural parameters on the flow field and temperature field. It helps to understand how different structural parameters affect the flow field and temperature field, and provide data support for optimization; by setting a threshold and comparing the test results with the threshold, decide whether to continue adjusting the position of the sieve baffle. Ensure that the structural parameters of the sieve baffle device can achieve the expected flow field and temperature field effects, thereby optimizing the performance of the equipment.

[0101] The process of obtaining the placement position of the heat exchanger screen: the structural parameters of the heat exchanger screen device form a heat exchanger screen data set, and a heat exchanger screen data set corresponds to a heat exchanger screen configuration file. The heat exchanger screen configuration file is input into the heat exchanger screen subroutine, and the heat exchanger screen subroutine is run. According to the structural parameters of the heat exchanger screen device and the initial working state, the boundary conditions of the horizontal waste heat boiler are obtained; wherein, the structural parameters of the heat exchanger screen device include the position and number of the heat exchanger screens; according to the boundary conditions of the horizontal waste heat boiler, the influence of multiple heat exchanger screen device structural parameters on the flow field and temperature field is tested, and the influence results of multiple heat exchanger screen device structural parameters on the flow field and temperature field are obtained; according to the test results of multiple heat exchanger screen device structural parameters, the threshold of the influence of the heat exchanger screen device structural parameters on the flow field and temperature field is set, and the test influence result is compared with the threshold. If the test influence result is greater than the threshold, continue to adjust; if the test influence result is less than the threshold, set the position of the heat exchanger screen; wherein, the threshold for comparison is the data reached by the flow field and the temperature field at the same time. This embodiment forms a heat exchange screen data set and configuration file, inputs the parameters into the heat exchange screen subroutine, and after running, obtains the boundary conditions of the horizontal waste heat boiler according to the structural parameters and initial working state of the heat exchange screen device. By testing the influence of multiple heat exchange screen device structural parameters on the flow field and temperature field, the specific influence results of these parameters are obtained. Through a combination of experimental and numerical simulation methods, the influence of different structural parameters on the performance of the heat exchanger is comprehensively evaluated to provide data support for the optimization design. By setting a threshold and comparing the test results with the threshold, the position of the heat exchange screen is adjusted or determined. By setting a reasonable threshold, it is ensured that the heat exchange screen device optimizes its structural layout while meeting the performance requirements, and improves the heat exchange efficiency and system stability.

[0102] The process of obtaining the placement position of the radiation chamber outlet: the radiation chamber outlet parameters form a radiation chamber outlet data set, and a radiation chamber outlet data set corresponds to a radiation chamber outlet configuration file. The radiation chamber outlet configuration file is input into the radiation chamber outlet subroutine, and the radiation chamber outlet subroutine is run. According to the structural parameters of the radiation chamber outlet device and the initial working state, the boundary conditions of the horizontal waste heat boiler are obtained; the radiation chamber outlet parameters include the radiation chamber outlet; according to the horizontal waste heat boiler boundary conditions, the influence of multiple radiation chamber outlet parameters on the flow field and the temperature field is tested, and the influence results of multiple radiation chamber outlet parameters on the flow field and the temperature field are obtained; according to the test results of multiple radiation chamber outlet parameters, the threshold of the influence of the radiation chamber outlet parameters on the flow field and the temperature field is set, and the test influence result and the threshold are compared. If the test influence result is greater than the threshold, continue to adjust; if the test influence result is less than the threshold, the position of the radiation chamber outlet is set; wherein, the threshold for comparison is the data reached by the flow field and the temperature field at the same time. This embodiment forms a data set and configuration file at the outlet of the radiation chamber, inputs them into the subroutine for operation, and obtains the boundary conditions of the horizontal waste heat boiler according to the structural parameters and initial state of the device. The outlet parameters of the radiation chamber are accurately controlled to optimize the distribution of the flow field and temperature field and improve the performance of the system. The influence of multiple radiation chamber outlet parameters on the flow field and temperature field is tested to obtain the influence results. It helps to identify which parameters have the most significant impact on the flow field and temperature field, and provide a basis for subsequent optimization. By setting a threshold and comparing the test results with the threshold, the position of the radiation chamber outlet is adjusted or determined. Ensure that the parameters at the outlet of the radiation chamber are set within a reasonable range, neither too much affecting the flow field and temperature field, nor too loose, so as to achieve the best system performance.

[0103] Preferably, in step S1221 of this embodiment, the boundary conditions of the horizontal waste heat boiler are obtained by analyzing the influence of the plate gap, salting air nozzle, sieve baffle, heat exchange tube screen, and the outlet of the radiation chamber on the flow and temperature; the boundary conditions include configuration structure parameters, initial state parameters, environmental factors, heat transfer boundary conditions, mass transfer boundary conditions, radiation heat transfer calculation parameters and axial heat conduction effects, etc.; by setting the priority of each device, the layout and function of the equipment can be optimized, thereby improving the efficiency and performance of the overall system. In step S1222, the numerical simulation is used to calculate the different attribute value change laws corresponding to different values ​​under the boundary conditions of the horizontal waste heat boiler, and the optimal parameter values ​​are obtained by combining these laws; the optimal parameter values ​​are used to set the placement position of each device, including the position and quantity. In this way, it can be ensured that the equipment operates in the best position, thereby optimizing the performance and efficiency of the system. In step 1223, simulation is performed according to the placement position of each device, and different simulation results are compared with the set threshold. If the comparison result is greater than the threshold, the simulation adjustment is continued; the continuous simulation and adjustment process ensures the optimization of the equipment layout and the optimal operating state of the system, thereby improving the stability and reliability of the system.

[0104] Furthermore, if Figure 6 As shown, the process of meshing the horizontal waste heat boiler numerical simulation model in step S2 specifically includes the following steps:

[0105] Step S21: importing geometric data of the horizontal waste heat boiler numerical simulation model, setting meshing parameters, initial meshing, and performing numerical simulation calculation of the horizontal waste heat boiler; wherein setting the meshing parameters includes setting the density of the mesh and the type of the mesh; the type of the mesh includes tetrahedron or hexahedron, etc.;

[0106] Step S22: According to the numerical simulation calculation results of the horizontal waste heat boiler, preliminary results of flow and temperature distribution are obtained, and the areas where the flow and temperature change dramatically are identified; the mesh of the areas where the change dramatically occurs is encrypted, and the encrypted mesh is recalculated; the areas where the flow and temperature change dramatically include the areas near the baffle connection area and the areas near the heat exchange tube panel connection area;

[0107] Step S23: Check whether the density distribution of the grid in different areas is reasonable. If not, the grid quality is judged to be unqualified, and the unqualified grid is locally optimized.

[0108] Preferably, in step S21 of this embodiment, by importing the geometric data of the numerical simulation model of the horizontal waste heat boiler, setting the parameters of the mesh division, including the density and type of the mesh (such as tetrahedron or hexahedron), initial mesh division and calculation are performed. Provide a basic mesh for the numerical simulation to ensure that the initial conditions of the calculation are accurate. By reasonably setting the mesh parameters, the accuracy and efficiency of the calculation can be improved. In step S22, according to the calculation results of the numerical simulation of the horizontal waste heat boiler, the areas where the flow and temperature change dramatically (such as near the baffle connection area and near the heat exchange tube screen connection area) are identified, and the mesh is encrypted. Mesh encryption can improve the calculation accuracy of these areas, because these areas are usually where the flow and temperature change most dramatically, and higher resolution is required to capture details; by recalculating the encrypted mesh, the physical phenomena in these areas can be more accurately simulated. In step S23, check whether the density distribution of the mesh in different areas is reasonable. If it is unreasonable, the mesh quality is judged to be unqualified, and local optimization is performed. Ensure the uniformity and rationality of the grid in the entire model, and avoid calculation errors caused by grid quality problems; through local optimization, the accuracy and efficiency of the overall calculation can be improved, especially in areas with uneven grid density.

[0109] Furthermore, the process of recalculating the encrypted grid in step S22 specifically includes the following steps:

[0110] Step S221: inputting the numerical simulation calculation results of the horizontal waste heat boiler into the database, setting the comparison threshold; comparing the original flow and temperature with those in the database, if exceeding the threshold, setting the data exceeding the threshold as a physical quantity, wherein the physical quantity includes: physical data such as flow velocity and temperature gradient;

[0111] Step S222: according to the area corresponding to the physical quantity being set as the area of ​​drastic change, the radial distance of each grid is calculated and transformed, and a radial distance threshold is set; if the radial distance is greater than the threshold, the grid density remains unchanged, and if the radial distance is less than the threshold, the grid distance continues to increase, and a new grid is generated according to the transformed grid density;

[0112] Step S223: Perform numerical simulation on the new grid to verify whether the result is qualified. If the result is unqualified, adjust the radial distance.

[0113] Preferably, in step S221 of this embodiment, the numerical simulation calculation results of the horizontal waste heat boiler are input into the database, and the comparison threshold is set to identify and record the physical quantities that exceed the threshold, such as flow velocity and temperature gradient. This helps to analyze and process these physical quantities in more detail in subsequent steps, thereby improving the accuracy and reliability of the numerical simulation. In step S222, the area corresponding to the physical quantity is set as a drastic change area, and the radial distance of each grid is calculated and transformed to set the radial distance threshold. If the radial distance is greater than the threshold, the grid density remains unchanged; if the radial distance is less than the threshold, the grid distance continues to increase. This helps to increase the grid density in the area of ​​drastic change to improve the accuracy of the numerical simulation, while maintaining a lower grid density in other areas to save computing resources. In step S2023, the new grid is numerically simulated to verify whether the result is qualified. If the result is unqualified, the radial distance is adjusted. This ensures the accuracy and reliability of the numerical simulation, and achieves the best simulation effect by continuously optimizing the grid parameters.

[0114] Furthermore, the process of locally optimizing the meshes whose verification results are unqualified in step S23 specifically includes the following steps:

[0115] Step S231: identifying a specific area of ​​the mesh with unqualified quality, selecting a starting point in the specific area of ​​the mesh with unqualified quality; starting from the starting point, gradually generating new nodes, and generating new units according to the new nodes; wherein the starting point is the worst node in the specific area of ​​the mesh with unqualified quality;

[0116] Step S232: setting initial grid parameters for the new unit, calculating the quadratic energy function according to the geometric features of the current grid, and adjusting the positions of the grid nodes; after each adjustment, checking whether the change of the energy function reaches the convergence condition, if not, continue to adjust; otherwise, stop adjusting; wherein the grid parameters include the density and type of the grid;

[0117] Step S233: recalculate the entire flow and temperature distribution based on the adjusted results to verify whether the optimized mesh is unqualified. If the mesh is still unqualified, continue to adjust and optimize.

[0118] Preferably, in step S231 of this embodiment, by identifying the specific area of ​​the grid with unqualified quality, and selecting the worst node as the starting point, new nodes and units are gradually generated to improve the quality of the grid; this step can effectively optimize the grid locally, especially in the area with poor quality. In step S232, by setting the initial grid parameters, calculating the quadratic energy function, and using the density adjustment method to adjust the position of the grid nodes to optimize the grid quality; after each adjustment, check whether the change of the energy function meets the convergence condition, if not, continue to adjust, otherwise stop adjusting; this step can significantly improve the quality of the grid, especially at the boundary and the overall grid quality. In step 233, the entire flow and temperature distribution are recalculated based on the adjusted results to verify whether the optimized grid is unqualified. If the grid still has unqualified problems, continue to adjust and optimize; this step ensures that the optimized grid can meet the requirements of calculation accuracy and avoids calculation errors caused by grid quality problems.

[0119] Furthermore, the process of adjusting the position of the grid node in step S232 specifically includes the following steps:

[0120] Step S2321: Calculate the density mark of the energy function for each grid node position, the density mark includes the rate of change of the energy function at the current node position, and points to the direction in which the energy function increases fastest;

[0121] Step S2322: updating the position of each node according to the calculated density identifier;

[0122] The update formula is:

[0123] Define the encryption index η and mark the encryption unit j;

[0124] η=σ1-ασ3-k

[0125] The values ​​of the index η at the four nodes on the encryption unit j are η 1,j ,η 2,j ,η 3,j ,η 4,j The index η represents the degree of stress close to yield:

[0126] η j =max(η 1,j ,η 2,j ,η 3,j ,η 4,j )

[0127] The unit is divided into j The values ​​are arranged in descending order and the first n units are marked, that is, the locations that need further densification are determined by judging the degree to which the units in the calculation area are close to yielding;

[0128] n=μ×N E

[0129] Where N is the encryption parameter;

[0130] Step S2323: After each update, check whether the change of the energy function reaches the preset convergence condition; if the change of the energy function is less than a certain threshold, it reaches the local minimum and stops adjusting; otherwise, continue density adjustment.

[0131] Preferably, in step S2321 of this embodiment, the density mark of each grid node position is calculated by calculating the energy function, including the rate of change of the energy function at the current node position, pointing to the direction where the energy function increases fastest; this helps to identify and optimize the distribution of the energy function on the grid nodes, thereby improving the accuracy and efficiency of the finite element analysis. In step S2322, the position of each node is updated according to the calculated density mark, and the position of the grid node can be dynamically adjusted to better adapt to the change of the energy function, thereby improving the accuracy and efficiency of the finite element analysis. In step S2323, after each update, it is checked whether the change of the energy function meets the preset convergence condition; if the change of the energy function is less than a certain threshold, it is considered that the local minimum has been reached and the adjustment is stopped; otherwise, the density adjustment is continued to ensure the convergence and stability of the finite element analysis and avoid unnecessary waste of computing resources.

[0132] Furthermore, if Figure 7 As shown, the process of horizontal waste heat boiler value simulation selection in step S3 specifically includes the following steps:

[0133] Step S31: Confirm the mass, momentum and energy conservation equations of the gas phase, which are expressed as follows:

[0134]

[0135] Where θ g Represents the gas volume fraction. and ρ g They represent the enthalpy (J), velocity vector (m / s) and density (kg / m 3 );p g is the gas phase pressure (pa); g is the gravitational acceleration (m / s2); q and Represents the heat flow (W) and enthalpy diffusion (J) of the gas; S gs and F gs Respectively represent the energy (J) and momentum (kg·m / s) exchange between phases; D t is the turbulent mass diffusivity related to viscosity and is given by:

[0136]

[0137] Where Sc is the turbulent Schmidt number, and its value is 0.9;

[0138] In the equation, is the gas stress tensor (N / m 2 ), can be calculated as:

[0139]

[0140] μ g =μ l +μ t

[0141] Where μ l is the viscosity of the laminar flow (kg / (m·s)), μ t is the turbulent viscosity (kg / (m·s)), the turbulent viscosity adopts the Smagorinsky model, μ t The expression is:

[0142]

[0143] Where C s (=0.1) is the model constant, and the length scale Δ(Δ=(ΔxΔyΔz) 1 / 3 ) Perform filtering operations on variables;

[0144] Step S32: Confirm the expression of heat transfer between the gas and the wall, the heat transfer S gw (J / s·m 2 )The equation is:

[0145] S gw =h gw A gw (T w -T g )

[0146] Where T w is the wall temperature (K), T g is the gas temperature (K), h gw and A gw are the convective heat transfer between gas and wall (J / s·m 2 ·K) and contact area (m 2 );

[0147] The particle probability distribution function (PDF) is introduced to describe the particle dynamics. PDF is a function of particle mass, velocity, temperature and position, and can be expressed as:

[0148]

[0149] Where u s represents the particle velocity (m / s), f s is the particle distribution function, f D represents the local mass average particle velocity (m / s) in the particle probability distribution function, τ D is the solid phase collision damping time (s), Γ s is the acceleration equation used to solve the particle velocity, expressed as:

[0150]

[0151] Where D s represents the drag coefficient, ρ S Represents particle density (kg / m 3 ), Represents the local mass average velocity of the solid phase (m / s). The PDF function can be used to calculate the instantaneous correlation parameters of the solid phase at a specific position, θ s represents the solid volume fraction and is calculated using the following expression:

[0152]

[0153] Where m s and T s Represent the mass (kg) and temperature (K) of the particle respectively. In the particle acceleration equation, τ s is the normal stress of particle collision (Pa), which is expressed as:

[0154]

[0155] Where p s and β,α are model constants, θ cs Represents the volume fraction of the solid phase in a densely packed state;

[0156] Step S33: With respect to the heat transfer of the particles, the radiation heat transfer between the particles and the environment and the convection heat transfer between the gas phase are considered, and the energy equation of the solid phase is expressed as follows:

[0157]

[0158] Where C v represents the specific heat capacity of particles (J / kg·K), Q sg and Q radi They are heat transfer from gas convection (J / s·m 2 ·K) and radiation heat transfer (J / s·m 2 K);

[0159] Since the particle dynamics part is solved by using the particle distribution function, the momentum and energy exchange terms between the gas phase and the solid phase can be expressed as follows:

[0160]

[0161] Where E s Enthalpy of any particle.

[0162] In addition, the EMMS-Matrix drag model is used to solve the drag force of gas on particles, H D is a function of the solid volume fraction, the phase momentum (kg·m / s) exchange (D s ) is calculated as:

[0163]

[0164] H d =α(Re s -b) c

[0165] Where C D is the resistance coefficient, and its expression is:

[0166]

[0167] Preferably, step S301 of this embodiment confirms the mass, momentum and energy conservation equations of the gas phase, ensures that the mass of the gas in the system remains unchanged, and describes the change of gas mass with time and space; describes the change of gas velocity, including the influence of pressure gradient, gravity, stress tensor and phase momentum exchange; describes the change of gas enthalpy, including pressure change, heat flow, enthalpy diffusion and phase energy exchange. Significance: The equations form the basis of gas flow and heat transfer, ensuring the physical accuracy and consistency of the simulation model. Step S302 confirms the expression of heat transfer between the gas and the wall, describes the convective heat transfer between the gas and the wall, and takes into account the wall temperature, gas temperature, convective heat transfer coefficient and contact area; describes the dynamic behavior of the particles, including changes in mass, velocity, temperature and position. Significance: Through the PDF function, the instantaneous parameters of the solid phase at a specific position can be accurately calculated, which improves the accuracy and reliability of the simulation model. Step S303 describes the temperature change of the particles, including gas convection heat transfer and radiation heat transfer, describes the momentum and energy exchange between the gas phase and the solid phase, and takes into account the resistance, pressure gradient and enthalpy of the particles. Significance: The equation ensures accurate simulation of particle heat transfer and improves the accuracy of the simulation model in particle dynamics and heat transfer.

[0168] In summary, this embodiment ensures the physical accuracy and consistency of the simulation model by describing in detail the mass, momentum and energy conservation equations of the gas phase and solid phase, as well as the dynamic behavior and heat transfer process of the particles; by introducing the particle probability distribution function and detailed heat transfer equation, the accuracy and reliability of the simulation model in particle dynamics and heat transfer are improved; an accurate simulation model can help engineers optimize the baffle design and operating parameters and improve the efficiency and performance of the system. Through these steps, the simulation model is not only more perfect in theory, but also more reliable and effective in practical applications.

[0169] like Figure 8 As shown, this embodiment also provides an embodiment of a horizontal waste heat boiler anti-slagging optimization system. In this embodiment, the horizontal waste heat boiler anti-slagging optimization system is applied to the horizontal waste heat boiler anti-slagging optimization method in the above embodiment. The horizontal waste heat boiler anti-slagging optimization system includes a model building module 12, a grid division module 13, and a parameter selection module 14 that are electrically connected in sequence;

[0170] Among them, the model construction module 12 is used to construct a horizontal waste heat boiler numerical simulation model, and preset different schemes for the inclination angle of the radiation chamber inlet wall, the position and plate spacing of the original baffle, the position of the salt-treated air nozzle, the position and aperture of the sieve baffle, the position and number of the heat exchange tube screen and the radiation chamber outlet position; the baffle, heat exchange tube screen and other components are modeled in a 1:1 ratio; the grid division module 13 is used to grid the constructed horizontal waste heat boiler numerical simulation model to capture local flow characteristics and temperature distribution; the parameter selection module 14 is used to use the multiphase particle grid method, and the gas phase motion is described by the volume average equation under the Euler overhead; the real solid phase particles are packaged and analyzed as a whole of a calculation particle, and the real solid phase particles are used as discrete elements and tracked in a Lagrangian manner to select a horizontal waste heat boiler numerical simulation model and method suitable for the gas-solid two-phase flow and heat exchange process of the waste heat boiler.

[0171] Preferably, the model building module 12 of this embodiment constructs numerical simulation models of components such as baffles and heat exchange tube panels at a 1:1 ratio to ensure the geometric accuracy of the model and provide a reliable basis for subsequent simulation analysis; different schemes are preset for parameters such as the inclination angle of the radiation chamber inlet wall, the position of the baffles and the plate spacing, and the position of the salt-cured air nozzle, providing rich comparative data for the optimization design. The significance achieved: Through the preset and comparison of multiple schemes, the optimal design scheme can be quickly screened out, reducing the cost and time of the actual experiment; accurate model construction helps to improve the accuracy of the results, thereby providing a more reliable reference basis for the actual project. The meshing module 13 can capture the local flow characteristics and temperature distribution inside the boiler through fine meshing, providing detailed data support for in-depth analysis; meshing directly affects the accuracy of the simulation results, and fine meshing helps to improve the accuracy of the numerical simulation results. The significance achieved: By capturing the local flow characteristics and temperature distribution, the flow and heat exchange mechanism inside the boiler can be more deeply understood, providing a scientific basis for the optimization design; fine meshing helps to improve the reliability of the numerical simulation results, thereby providing more accurate guidance for the actual project. Parameter selection module 14 uses the multiphase particle grid method to describe the gas phase movement, which can more accurately simulate the complexity of gas-solid two-phase flow; large eddy simulation (LES) is used to solve gas turbulence, which can capture the details of turbulent flow and improve the accuracy of the results; the real solid particles are analyzed as discrete elements and tracked in a Lagrangian manner, which can more realistically simulate the movement and distribution of solid particles. Significance achieved: Through the combination of the multiphase particle grid method, LES solution and discrete element method, the gas-solid two-phase flow and heat exchange process inside the waste heat boiler can be more accurately simulated, providing a scientific basis for optimized design; accurate simulation results can be directly applied to actual projects, improve the operating efficiency and safety of the boiler, reduce slagging problems, and extend the service life of the equipment.

[0172] In summary, this embodiment achieves accurate simulation and optimization of the complex flow and heat exchange process inside the horizontal waste heat boiler through the collaborative work of model construction, meshing and parameter selection, which provides strong technical support for improving the operating efficiency of the boiler, reducing slagging problems and extending the service life of the equipment.

[0173] like Fig. 9 As shown, this embodiment provides an embodiment of an electronic device. In this embodiment, the electronic device 14 includes a processor 141 and a memory 142 coupled to the processor 141 .

[0174] The memory 142 stores program instructions for implementing the anti-slagging optimization method for a horizontal waste heat boiler according to any of the above embodiments.

[0175] The processor 141 is used to execute program instructions stored in the memory 142 to perform anti-slagging optimization of the horizontal waste heat boiler.

[0176] The processor 141 may also be referred to as a CPU (Central Processing Unit). The processor 141 may be an integrated circuit chip having signal processing capabilities. The processor 141 may also be a general-purpose processor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0177] Further, Fig.10 This is a schematic diagram of the structure of a storage medium of an embodiment of the present application. The storage medium 15 of the embodiment of the present application stores program instructions 151 that can implement all the above methods, wherein the program instructions 151 can be stored in the above storage medium in the form of a software product, including several instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) or a processor to execute all or part of the steps of the methods described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a disk or an optical disk, or terminal devices such as a computer, a server, a mobile phone, and a tablet.

[0178] In the several embodiments provided by the present invention, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of units is only a logical function division, and there may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0179] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above integrated unit may be implemented in the form of hardware or in the form of software functional units. The above is only an implementation mode of the present invention, and does not limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made by using the contents of the present invention specification and drawings, or directly or indirectly used in other related technical fields, is also included in the patent protection scope of the present invention.

[0180] The specific implementation methods of the invention are described in detail above, but they are only examples, and the invention is not limited to the specific implementation methods described above. For those skilled in the art, any equivalent modification or substitution of the invention is also within the scope of the invention, therefore, the equalization, modification, improvement, etc. made without departing from the spirit and principle of the invention should be included in the scope of the invention.

Claims

1. A horizontal waste heat boiler, characterized in that: The horizontal waste heat boiler comprises: an ascending flue, a radiation chamber, and a convection chamber; The ascending flue is connected to the front smelting furnace to guide the flue gas and smoke into the radiation chamber; a set of sieve baffles is added between the radiation chamber entrance and the baffle; a set of streamlined baffles is added between the radiation chamber baffle and the heat exchange tube screen; a flue gas temperature monitor is installed at the radiation chamber outlet; the rear end of the heat exchange tube screen is connected to the convection chamber, and the heat exchange tube screen is installed inside the convection chamber.

2. The horizontal waste heat boiler according to claim 1, characterized in that: The sieve hole baffle comprises: large sieve holes and small sieve holes; the large sieve holes are arranged in the upper part of the sieve hole baffle, and the small sieve holes are arranged in the lower part of the sieve hole baffle, the large sieve holes are arranged in two rows, and the small sieve holes are arranged in three rows.

3. The horizontal waste heat boiler according to claim 2, characterized in that: The size and position of the sieve baffle are 9m away from the left furnace wall of the radiation chamber; the baffle is 6m long, 0.3m wide and 10m high; the upper two rows of large sieve holes are 0.4m away from the top of the baffle, and 0.45m away from the left and right sides of the baffle, the radius of the large sieve holes is 0.7m, the left and right spacing of the large sieve holes is 0.45m, and the upper and lower spacing is 1.1m; the lower three rows of small sieve holes are 0.9m away from the upper large sieve holes, 0.6m away from the bottom of the baffle, and 0.4m away from the left and right sides of the baffle, the left and right spacing of the small sieve holes is 0.4m, the upper and lower spacing is 0.6m, and the radius of the small sieve holes is 0.5m.

4. The horizontal waste heat boiler according to claim 1, characterized in that: The left side of the streamlined baffle is located directly below the baffle, is 4.2m long, 4.5m high, 2m wide at the bottom and 7.64m wide at the top.

5. A horizontal waste heat boiler anti-slagging optimization method, characterized in that: include: Construct a numerical simulation model of a horizontal waste heat boiler, preset different schemes for the inclination angle of the radiation chamber inlet wall, the position and plate spacing of the original baffle, the position of the salted air nozzle, the position and aperture of the sieve baffle, the position and number of the heat exchange tube screens, and the radiation chamber outlet position; construct a model of the water-cooled wall, baffle, and heat exchange tube screen components in a 1:1 ratio; The constructed horizontal waste heat boiler numerical simulation model is meshed to capture the local flow characteristics and temperature distribution; Using the multiphase particle grid method, the gas phase motion is described by the volume averaged Navier-Stokes equations under the Euler framework; the real solid phase particles are packaged and analyzed as a whole of calculation particles. The real solid phase particles are taken as discrete elements and tracked in a Lagrangian manner. The numerical simulation model and numerical simulation method suitable for the gas-solid two-phase flow and heat transfer process of the waste heat boiler are selected.

6. The anti-slagging optimization method for a horizontal waste heat boiler according to claim 5, characterized in that: The process of presetting different solutions includes: According to the structure of the waste heat boiler, a numerical simulation model is established, including the geometric dimensions of the radiation chamber and basic information on material properties; the inlet of the ascending flue is set as velocity and temperature boundary conditions. After the flue gas and smoke enter vertically from the inlet of the ascending flue, they exchange heat with the water-cooled wall and the heat exchange tube screen in the radiation chamber and the convection chamber, and finally settle at the bottom of the waste heat boiler and flow out from the outlet. The outlet of the waste heat boiler is set as a pressure boundary, and its value is a standard atmospheric pressure. Constant temperature boundary conditions are used for both the water-cooled wall and the heat exchange tube screen, and no-slip boundary conditions and standard wall functions are used for all wall surfaces; Numerical simulation calculations are performed based on boundary conditions to analyze the effects of plate gaps, salt-cured air nozzles, sieve baffles, heat exchange tube panels, and parameters at the radiation chamber outlet on the flow field and temperature field in the radiation chamber, and corresponding positions are set based on the effects; According to the numerical simulation results, it is verified whether each scheme can reach the preset numerical model value. After multiple iterations, the design scheme of the horizontal waste heat boiler numerical simulation model is finally determined.

7. The anti-slagging optimization method for a horizontal waste heat boiler according to claim 6, characterized in that: Numerical simulation calculations are performed according to boundary conditions, including: The influence of plate gap, salt-cured air nozzle, sieve baffle, heat exchange tube screen, and radiation chamber outlet position on the flue gas flow trajectory and temperature is analyzed to obtain the best design; the priority of each device is set in the order of heat exchange tube screen, radiation chamber outlet position, sieve baffle, baffle gap and salt-cured air nozzle; among them, the boundary conditions include: configuration structure parameters, initial state parameters, environmental factors, heat transfer boundary conditions, mass transfer boundary conditions, radiation heat transfer calculation parameters and axial heat conduction influence; Numerical simulation calculations are performed on horizontal waste heat boilers under different structural designs to obtain the variation rules of different attribute values ​​corresponding to different values ​​under the boundary conditions. Combined with the variation rules of different attribute values ​​corresponding to the attribute values ​​under the boundary conditions, the optimal parameter values ​​of the attribute values ​​are obtained; the placement positions of various devices are set according to the optimal parameter values; wherein the attribute values ​​include position and quantity; Simulate according to the placement of each device, compare the simulation results of different devices, set a threshold, and compare the comparison result with the threshold; if the comparison result is greater than the threshold, continue to simulate and adjust.

8. The anti-slagging optimization method for a horizontal waste heat boiler according to claim 5, characterized in that: The process of meshing the horizontal waste heat boiler numerical simulation model includes: Import the geometric data of the horizontal waste heat boiler numerical simulation model, set the meshing parameters, initial meshing, and perform numerical simulation calculations of the horizontal waste heat boiler; wherein, setting the meshing parameters includes setting the density of the mesh and the type of the mesh; the type of the mesh includes tetrahedron or hexahedron; According to the numerical simulation calculation results of the horizontal waste heat boiler, the preliminary results of the flue gas-smoke flow and temperature distribution are obtained, and the areas where the flow and temperature change dramatically are identified; the mesh in the area where the change dramatically occurs is encrypted, and the encrypted mesh is recalculated; among them, the areas where the flue gas-smoke flow and temperature change dramatically include the areas near the baffle connection area and the heat exchange tube panel connection area; Check whether the density distribution of the grid in different areas is reasonable. If not, the grid quality is judged to be unqualified and local optimization will be performed on the unqualified grid.

9. The anti-slagging optimization method for a horizontal waste heat boiler according to claim 5, characterized in that: The process of numerical simulation selection of horizontal waste heat boiler includes: Confirm the conservation equations for mass, momentum, and energy in the gas phase; Identify expressions for heat transfer between the gas and the wall; For the heat transfer of particles, the radiation heat transfer between the particles and the environment, the convection heat transfer between the gas phase, and the energy equation of the solid phase are considered.

10. A horizontal waste heat boiler anti-slagging optimization system, characterized in that: include: The model building module is used to build a numerical simulation model of a horizontal waste heat boiler, and preset different schemes for the inclination angle of the radiation chamber inlet wall, the position and plate spacing of the original baffle, the position of the salt-treated air nozzle, the position and aperture of the sieve baffle, the position and number of the heat exchange tube screens, and the radiation chamber outlet position; the baffle and heat exchange tube screen components are modeled at a 1:1 ratio; The meshing module is used to mesh the constructed horizontal waste heat boiler numerical simulation model to capture the local flow characteristics and temperature distribution; The parameter selection module is used to use the multiphase particle grid method. The gas phase motion is described by the volume average equation under the Euler overhead; the real solid phase particles are packaged and analyzed as a whole of calculation particles. The real solid phase particles are taken as discrete elements and tracked in a Lagrangian manner. The numerical simulation model and simulation method suitable for the gas-solid two-phase flow and heat transfer process of the horizontal waste heat boiler are selected.

Citation Information

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