Particle bonding probability quantitative measurement device, method, equipment, medium and product

Abstract

The invention discloses a particle bonding probability quantitative measurement device, method, equipment, medium and product, and relates to the field of solid combustion, the device comprises a support arranged above a combustor chamber, and an alundum tube arranged on the support; the thermocouple is arranged on the alundum tube; the thermocouple measures the temperature of the alundum tube; the combustor chamber comprises an upper chamber and a lower chamber; the short capillary tube is a hollow tube, the short capillary tube and the powder feeding tube are arranged in the upper cavity, and a gap is reserved between the bottom end of the short capillary tube and the bottom of the upper cavity; the powder feeding pipe conveys ash residues to a combustion area on the top of the upper cavity. The short capillary conveys an oxidant to a combustion area at the top of the upper cavity; the long capillary tube is a hollow tube and penetrates through the combustor cavity, and a gap is reserved between the bottom end of the long capillary tube and the bottom of the lower cavity. According to the method, the particle bonding probability can be accurately calculated, and a more accurate theoretical basis is provided for subsequent boiler design or soot blowing operation.

Description

Technical Field

[0001] The present application relates to the field of solid combustion, and in particular to a device, method, equipment, medium and product for quantitatively measuring particle bonding probability. Background Art

[0002] In modern society, efficient energy utilization and environmental protection have increasingly become the focus of global attention. The combustion of solid fuels such as coal, biomass, and sludge is a common energy conversion process. At the same time, as thermal power generation gradually shifts to the basic energy role of deep peak-shaving operation, boilers are prone to flame instability and even wall-brushing when operating at low loads. The fly ash particles generated in this process will adhere to and slag on the inner surface of the pipeline, causing a series of problems for boiler operation and the environment. With the continuous increase in global energy demand, the increasing dependence on traditional fuels, and the increasing concern about environmental issues, it is particularly important to study the adhesion characteristics of solid fuel combustion. It is necessary to develop the ability to predict fly ash slagging under different combustion conditions: this requires accurate quantitative characterization of the ash deposition process, especially the high-temperature adhesion tendency of molten ash.

[0003] The combustion process of solid fuels is complex and involves multiple physical and chemical processes. During the combustion process, solid fuels undergo multiple stages such as drying, pyrolysis, oxidation, and ash generation. Among them, solid fuels such as coal undergo drying and pyrolysis processes under high temperature conditions, producing a large amount of fly ash particles, which move in the burner and boiler pipes and adhere to the pipe surface. Over time, the adhered fly ash particles will gradually form slagging, affecting the normal operation of the boiler, resulting in energy loss and environmental pollution.

[0004] The existing particle adhesion criteria mainly include qualitative models such as melt-liquid phase ratio, critical viscosity, critical velocity, critical impact angle and elastic potential, all of which have failed to achieve quantitative prediction of the slagging process in the furnace, and the prediction results of different models have large deviations, which can not accurately and comprehensively characterize the ash deposition and slagging characteristics of solid fuel combustion. At present, the research on the adhesion characteristics of solid fuels in high temperature environments mainly focuses on two aspects: one is the exploration of adhesion mechanism, and the other is the simulation and analysis of adhesion behavior, mainly including the interaction between particles and pipe surfaces and theoretical analysis of adhesion process. The adhesion process is affected by multiple factors, including particle size, shape, surface characteristics, pipe surface material and surface energy, and atmosphere composition in high temperature environment. In high temperature environment, the interaction between particles and pipe surface mainly includes physical adsorption, chemical adsorption and charge exchange processes, which jointly determine the characteristics of adhesion behavior.

[0005] In laboratory small burners, high temperature and high pressure furnaces, thermogravimetric analyzers, etc. are often used to simulate the adhesion process. It is worth noting that during the implementation of this method, there is a problem that the particle heating rate of the actual heterogeneous combustion process is 1-3 orders of magnitude different, and the result cannot fully describe the ash combustion behavior in the actual furnace. Therefore, in order to better simulate the slagging adhesion behavior of solid fuel particles in the actual furnace, it is of great significance to design a quantitative measurement device for particle adhesion probability.

[0006] Although some progress has been made in the field of adhesion characteristics research, there are still some problems and challenges in the existing research. Some indicators based on the composition of combustion products used in traditional evaluation, such as alkali-acid oxide ratio, silicon-aluminum ratio, ash melting temperature, etc., are even less than 50% in accuracy. In addition, there are studies on particle collision behavior based on Reynolds number and particle Stokes number. The Stokes number is a dimensionless number that plays a key role in studying particle motion and adhesion behavior, but there has been no report on its application in solid combustion particle adhesion, and it is impossible to measure the probability of particle adhesion during solid combustion. Summary of the invention

[0007] The purpose of the present application is to provide a device, method, equipment, medium and product for quantitatively measuring particle bonding probability, which can accurately measure the particle bonding probability during solid combustion.

[0008] To achieve the above objectives, this application provides the following solutions:

[0009] In a first aspect, the present application provides a device for quantitatively measuring particle bonding probability, comprising:

[0010] Bracket, corundum tube, thermocouple, short capillary, long capillary, powder feeding tube and burner chamber;

[0011] The support is arranged above the burner chamber, and the corundum tube is arranged on the support; the thermocouple is arranged on the corundum tube; the thermocouple is used to measure the temperature of the corundum tube;

[0012] The burner chamber includes an upper chamber having a plurality of through holes and a lower chamber having a plurality of through holes;

[0013] The short capillary is a hollow tube. The short capillary and the powder delivery tube are arranged in the upper chamber, and a gap is left between the bottom end of the short capillary and the bottom of the upper chamber; the powder delivery tube is used to transport ash to the combustion area at the top of the upper chamber; the short capillary is used to transport oxidant to the combustion area at the top of the upper chamber;

[0014] The long capillary is a hollow tube, which passes through the burner chamber, and a gap is left between the bottom end of the long capillary and the bottom of the lower chamber; the long capillary is used to transport fuel to the combustion area at the top of the upper chamber.

[0015] In a second aspect, the present application provides a method for quantitatively measuring particle bonding probability, comprising:

[0016] Controlling the combustion parameters according to the required working conditions, and changing the ratio flow rate of the fuel and the oxidant according to the combustion parameters; the combustion parameters include temperature, oxygen concentration and post-flame gas flow rate;

[0017] Based on the proportion flow rate, the ash particle impact efficiency is determined by using the impact efficiency formula of the coupled flow field Reynolds number and the particle Stokes number;

[0018] The particle bonding probability is determined according to the ash particle impact efficiency.

[0019] In a third aspect, the present application provides a computer device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement any of the above-described quantitative measurement methods for particle bonding probability.

[0020] In a fourth aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements any of the above-described methods for quantitatively measuring particle bonding probability.

[0021] In a fifth aspect, the present application provides a computer program product, including a computer program, which, when executed by a processor, implements any of the above-described quantitative measurement methods for particle bonding probability.

[0022] According to the specific embodiments provided in this application, this application discloses the following technical effects:

[0023] The present application is based on a quantitative measurement device for particle adhesion probability, and delivers oxidant, fuel and ash to the combustion area through short capillaries, long capillaries and powder delivery pipes respectively to simulate the deposition process on the corundum tube, and adopts a quantitative measurement method for particle adhesion probability, introduces the impact efficiency formula of the coupled flow field Reynolds number and the particle Stokes number to determine the ash particle impact efficiency, so as to accurately calculate the particle adhesion probability of the particles adhering to the corundum tube after the ash is burned, thereby providing a more accurate theoretical basis for subsequent boiler design or soot blowing operations. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0025] Figure 1 A schematic diagram of the structure of a device for quantitatively measuring particle bonding probability provided in one embodiment of the present application;

[0026] Figure 2 A schematic flow chart of a method for quantitatively measuring particle bonding probability provided in one embodiment of the present application. DETAILED DESCRIPTION

[0027] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0028] In order to make the above-mentioned objects, features and advantages of the present application more obvious and easy to understand, the present application is further described in detail below with reference to the accompanying drawings and specific implementation methods.

[0029] like Figure 1 As shown, the present application provides a quantitative measurement device for particle bonding probability, which comprises: a bracket 1, a corundum tube 2, a thermocouple 3, a short capillary 4, a long capillary 5, a powder feeding tube 6 and a burner chamber; the bracket 1 is arranged above the burner chamber, and the corundum tube 2 is arranged on the bracket 1; the thermocouple 3 is arranged on the corundum tube 2; the thermocouple 3 is used to measure the temperature of the corundum tube 2; the burner chamber comprises an upper chamber 7 having a plurality of through holes and a lower chamber 8 having a plurality of through holes; the short capillary 4 is a hollow tube, The short capillary 4 and the powder delivery pipe 6 are arranged in the upper chamber 7, and a gap is left between the bottom end of the short capillary 4 and the bottom of the upper chamber 7; the powder delivery pipe 6 is used to transport ash to the combustion area at the top of the upper chamber 7; the short capillary 4 is used to transport oxidant to the combustion area at the top of the upper chamber 7; the long capillary 5 is a hollow tube, the long capillary 5 passes through the burner chamber, and a gap is left between the bottom end of the long capillary 5 and the bottom of the lower chamber 8; the long capillary 5 is used to transport fuel to the combustion area at the top of the upper chamber 7.

[0030] In an exemplary embodiment, the corundum tube 2 is circular, so that the adhesion characteristics of fly ash particles impacting the circular tube can be studied.

[0031] In an exemplary embodiment, a partition layer 9 is provided between the upper chamber 7 and the lower chamber 8; the partition layer 9 is a plurality of aluminum plates arranged in the same array, or a silicone gasket.

[0032] In practical applications, the upper and lower chambers are separated by a silicone gasket, which enables the fuel and the oxidant to reach a uniformly mixed state when they reach the burner outlet plane, thereby avoiding pre-mixing of the fuel and the oxidant.

[0033] In an exemplary embodiment, the upper chamber 7, the partition 9 and the lower chamber 8 are fixedly connected in sequence, and the upper chamber 7 and the lower chamber 8 are separated by the partition 9 to form their own closed combustion chambers, which can be circular or square.

[0034] In an exemplary embodiment, the long capillary tubes 5 include a plurality of long capillary tubes 5 , and the plurality of long capillary tubes 5 are arranged at equal intervals and have the same diameter.

[0035] In an exemplary embodiment, the long capillaries 5 are symmetrically arranged on both sides of the upper chamber 7 and the lower chamber 8. The fuel types include but are not limited to carbon monoxide, methane, hydrogen, etc., and the oxidant type can be oxygen or air.

[0036] In an exemplary embodiment, the short capillary tubes 4 include a plurality of short capillaries 4 , and the plurality of short capillaries 4 are arranged at equal intervals and have the same diameter.

[0037] In an exemplary embodiment, a plurality of short capillaries 4 pass through the upper chamber 7 and are inserted into the lower chamber 8 , and the short capillaries 4 are arranged in an even array.

[0038] The short capillaries 4 and the long capillaries 5 are evenly distributed at equal intervals, so that the flow field at the burner outlet can be evenly distributed.

[0039] In an exemplary embodiment, it further includes: an oscillator 10 ; the oscillator 10 is connected to the powder delivery pipe 6 and is used to adjust the powder supply amount of the powder delivery pipe 6 .

[0040] In practical applications, the oscillator 10 is a high frequency oscillator.

[0041] In an exemplary embodiment, the flow rate of the entrained airflow in the powder delivery pipe 6 is much smaller than the total flow rate of the oxidant, which can reduce the impact of the entrained airflow on the temperature field.

[0042] In an exemplary embodiment, the oxidant is fed in from several short capillaries 4 in the upper layer, and finally fully mixed and reacted with the fuel flowing out of the long capillaries 5 in the combustion area at the top of the upper chamber 7 to form several diffusion flames, and these several small diffusion flames form a large flat flame.

[0043] Since the combustion area is composed of many small diffusion flames, it has a relatively wide adjustment range and can obtain a rapidly heated area. At the same time, the components of the high-temperature flue gas can be adjusted, and parameters such as temperature and component can be kept the same on a horizontal plane. The single parameter of the flame atmosphere (including oxygen content, temperature, airflow velocity, and atmosphere composition, etc.) can be easily adjusted.

[0044] The external flame field generated by the combustion of the fuel provides a stable high-temperature environment for the solid particles, and the external corundum tube 2 ensures the quantitative measurement of the particle bonding probability.

[0045] The corundum tube 2 is placed directly above the upper chamber 7 as a corundum tube 2. Before the ash accumulation and slagging test begins, the mass of the corundum tube 2 is weighed using a balance. During the ash accumulation and slagging test, the ash particles are slowly passed into the high-temperature flame zone, i.e., the combustion zone at the top of the upper chamber 7, through a high-frequency oscillating powder feeder at a certain flow rate for a certain period of time. After the ash accumulation and slagging test is completed, the mass of the corundum tube 2 after ash accumulation and the amount of ash particles fed are weighed using a balance.

[0046] The present application can achieve independent and precise regulation of flue gas temperature (400-1600°C), composition (0-30% O2), and flow rate (1-10m / s) by regulating the flow rates of fuel, oxidant, and carrier gas.

[0047] In practical applications, the Stokes number (St) of the ash particles close to the corundum tube 2 can reach more than 30, ensuring a large particle impact efficiency, which is >0.9.

[0048] In practical applications, the ash should be crushed and screened to less than 65μm before feeding.

[0049] In practical applications, the time for the ash to pass through the high-frequency oscillator is controlled to be 5 minutes each time.

[0050] During the ash accumulation and slagging test, 2-3 mg of ash particles are slowly fed into the high-temperature flame zone through a high-frequency oscillating powder feeder with 0.3L / min nitrogen from the center tube of the burner. Each ash accumulation and slagging test particle feeding lasts about 5 minutes. The temperature of the ash accumulation point under different working conditions is measured by thermocouple 3, and the reading of thermocouple 3 is corrected for radiation and convection heat loss; in addition, the particle surface temperature can be further estimated based on the thermal emissivity of the particles. Before and after the ash accumulation and slagging test, a one-millionth analytical balance is used to accurately weigh the mass of the corundum tube 2 before and after ash accumulation and the amount of ash particles fed.

[0051] In an exemplary embodiment, after each ash accumulation and slagging test, the ash-accumulated corundum tube 2 is purged with compressed air (about 50 m / s) to remove loose ash particles accumulated on the corundum tube 2 to reduce errors.

[0052] In an exemplary embodiment, the bracket 1 mainly includes a bottom portion for supporting the lower chamber 8 of the burner and fixing the central powder feeding pipe 6, and an upper portion for placing the corundum tube 2 horizontally above the capillary 4. The height of the corundum tube 2 is adjustable in the horizontal and vertical directions, and the relative position of the corundum tube 2 in the upper chamber 7 of the burner can be easily adjusted. The thermocouple 3 can be extended to different areas during measurement.

[0053] In an exemplary embodiment, the particle bonding probability takes into account the initial deposition, that is, at the beginning, the ash particles collide with the light tube, the process between the molten ash and the tube. If the ash particles are deposited more, it becomes ash deposited on ash, but if there is more ash on the surface of the tube, this part of the ash may melt, and it becomes the collision of molten ash and molten ash. The calculated particle bonding probability has low accuracy. To address this problem, the present application sets the bracket 1 as a movable bracket 1. In the simulation of deposition, the movable bracket 1 can be moved to achieve mobile partitioning, such as Figure 1 In the middle area 1, area 2 and area 3, dust is evenly deposited, so that particles are evenly deposited in each area. During the dust accumulation and slagging test, 10 minutes is used as a node. When there are more dust particles deposited on the surface, the bracket 1 is moved to the next area, and the corundum tube 2 that has completed the previous test is removed to maintain the continuity of the test. After 3 weighings, the average value is taken, thereby improving the accuracy of the particle bonding probability.

[0054] Based on the above-mentioned particle bonding probability quantitative measurement device, the present application also provides a particle bonding probability quantitative measurement method, such as Figure 2 As shown, the method for quantitatively measuring particle bonding probability includes the following steps.

[0055] S1: Controlling combustion parameters according to required working conditions, and changing the ratio flow rate of the fuel and the oxidant according to the combustion parameters; the combustion parameters include temperature, oxygen concentration and post-flame gas flow rate.

[0056] S2: Based on the ratio flow rate, the ash particle impact efficiency is determined by using the impact efficiency formula of the coupled flow field Reynolds number and the particle Stokes number.

[0057] S3: Determine the particle bonding probability according to the ash particle impact efficiency.

[0058] In an exemplary embodiment, the temperature, oxygen concentration and post-flame gas flow rate are controlled in S1 according to equations (1)-(3). By changing the ratio flow coefficient of the fuel and the oxidant, a quantitative study of the adhesion characteristics of the solid fuel ash to the high-temperature heating surface is achieved without changing the velocity distribution.

[0059] Temperature control equation:

[0060] a×h(CO,298K)+b×h(O2,298K)+c×h(N2,298K)=a×h(CO2,T)+(ba / 2)×h(O2,T)+c×h(N2,T) (1)

[0061] Among them, a, b, c are setting coefficients; h(CO, 298K) is the absolute enthalpy of carbon monoxide CO at 298K; h(O2, 298K) is the absolute enthalpy of oxygen O2 at 298K; h(N2, 298K) is the absolute enthalpy of nitrogen N2 at 298K; h(CO2, T) is the absolute enthalpy of carbon dioxide CO2 at the post-flame gas temperature T; h(O2, T) is the absolute enthalpy of oxygen O2 at the post-flame gas temperature T; h(N2, T) is the absolute enthalpy of nitrogen N2 at the post-flame gas temperature T.

[0062] Oxygen concentration control equation:

[0063]

[0064] Where f(O2) is the mole fraction of oxygen in the post-flame gas.

[0065] The governing equation for the post-flame gas velocity is:

[0066]

[0067] Wherein, vgas is the velocity of the post-flame gas; A is the cross-sectional area of ​​the combustion area.

[0068] In an exemplary embodiment, in S2, in order to more accurately measure the particle bonding probability, the shear Stokes number is introduced, and its calculation formula is as follows:

[0069] St=2.1832St γ / (1+4.45Re -1 / 2 ) (4)

[0070] In this application, the particle Stokes number St = ρ p d p 2 U0 / (9μ g d c ), coupled flow field Reynolds number Re = U0d c / v,ρp is the particle density, d p is the particle diameter, U0 is the characteristic velocity of the flow field, μ g is the fluid dynamic viscosity, d c is the characteristic dimension, i.e. the diameter of the corundum tube 2, v is the fluid kinematic viscosity, St γ is the shear Stokes number.

[0071] x=logSt γ (5)

[0072] Where x is the base 10 of St γ The logarithm of .

[0073] In this way, the impact efficiency can be calculated piecewise:

[0074] When x<-0.2, g(x)=a0+a1x+a2x -1 +a3x -2 .

[0075] When x>-0.2, g(x)=[1-b1(x+0.79) -1 +b2(x+0.79) -2 -b3(x+0.79) -3 ] -1 .

[0076] Among them, a0 = 0.1844, a1 = 0.2017, a2 = 5.080 × 10 -2 , a3=3.634×10 -2 ;b1=0.05119, b2=0.2071, b3=1.236×10 -3 .

[0077] The ash impact efficiency η is calculated by the following formula: impact , that is, the impact efficiency of particles fed from the projected area of ​​the corundum tube 2.

[0078] logη impact / logη 0.1 =1-g(x) (6)

[0079] Among them, η 0.1 is the adhesion efficiency of particles with a particle size of less than 0.1 μm, η 0.1 =1.0204×10 -3 Re -0.35054 .

[0080] In an exemplary embodiment, S3 can be replaced by formula (7).

[0081]

[0082] Among them, η stick is the particle bonding probability; m stick is the mass of the sediment layer, in kg; m feed is the total mass of the fed ash, in kg; A1 is the area of ​​the corundum tube 2 projected onto the cross section of the central powder delivery tube 6; A2 is the cross-sectional area of ​​the powder delivery tube 6, and A1 / A2 represents the percentage of particles fed from the nozzle area covered by the projected area of ​​the corundum tube 2 under the assumption of uniform particle distribution.

[0083] In an exemplary embodiment, a computer device is provided, which may be a server or a terminal. The computer device includes a processor, a memory, an input / output interface (I / O for short) and a communication interface. The processor, the memory and the input / output interface are connected via a system bus, and the communication interface is connected to the system bus via the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store quantitative measurement data of particle bonding probability. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal via a network connection. When the computer program is executed by the processor, a quantitative measurement method of particle bonding probability is implemented.

[0084] In an exemplary embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and the above method is implemented when the processor executes the computer program.

[0085] In an exemplary embodiment, a computer-readable storage medium is provided, storing a computer program, which implements the above method when executed by a processor.

[0086] In an exemplary embodiment, a computer program product is provided, including a computer program, which implements the above method when executed by a processor.

[0087] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM may be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM).

[0088] In this application, all actions to obtain signals, information or data are carried out in compliance with the relevant data protection laws and policies of the country where they are located and with the authorization given by the owner of the corresponding device.

[0089] The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. The non-relational database may include a distributed database based on blockchain, etc., but is not limited thereto. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but is not limited thereto.

[0090] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0091] This article uses specific examples to illustrate the principles and implementation methods of this application. The description of the above embodiments is only used to help understand the method and core ideas of this application. At the same time, for those skilled in the art, according to the ideas of this application, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting this application.

Claims

1. A quantitative measurement device for particle bonding probability, characterized in that: The particle bonding probability quantitative measurement device comprises: a bracket, a corundum tube, a thermocouple, a short capillary tube, a long capillary tube, a powder feeding tube and a burner chamber; The support is arranged above the burner chamber, and the corundum tube is arranged on the support; the thermocouple is arranged on the corundum tube; the thermocouple is used to measure the temperature of the corundum tube; The burner chamber includes an upper chamber having a plurality of through holes and a lower chamber having a plurality of through holes; The short capillary is a hollow tube. The short capillary and the powder delivery tube are arranged in the upper chamber, and a gap is left between the bottom end of the short capillary and the bottom of the upper chamber; the powder delivery tube is used to transport ash to the combustion area at the top of the upper chamber; the short capillary is used to transport oxidant to the combustion area at the top of the upper chamber; The long capillary is a hollow tube, which passes through the burner chamber, and a gap is left between the bottom end of the long capillary and the bottom of the lower chamber; the long capillary is used to transport fuel to the combustion area at the top of the upper chamber.

2. The device for quantitatively measuring particle bonding probability according to claim 1, characterized in that: A partition is provided between the upper chamber and the lower chamber; The partition layer is a plurality of aluminum plates arranged in the same array, or a silicone gasket.

3. The device for quantitatively measuring particle bonding probability according to claim 1, characterized in that: The long capillaries include a plurality of long capillaries, and the plurality of long capillaries are arranged at equal intervals and have the same diameter.

4. The device for quantitatively measuring particle bonding probability according to claim 1, characterized in that: The short capillaries include a plurality of short capillaries, and the plurality of short capillaries are arranged at equal intervals and have the same diameter.

5. The device for quantitatively measuring particle bonding probability according to claim 1, characterized in that: Also includes: Oscillator; The oscillator is connected to the powder feeding pipe and is used to adjust the powder feeding amount of the powder feeding pipe.

6. The device for quantitatively measuring particle bonding probability according to claim 1, characterized in that: The bracket is a movable bracket.

7. A method for quantitatively measuring particle bonding probability, characterized in that: The particle bonding probability quantitative measurement method is applied to the particle bonding probability quantitative measurement device according to any one of claims 1 to 6, and the particle bonding probability quantitative measurement method comprises: Controlling the combustion parameters according to the required working conditions, and changing the ratio flow rate of the fuel and the oxidant according to the combustion parameters; the combustion parameters include temperature, oxygen concentration and post-flame gas flow rate; Based on the proportion flow rate, the ash particle impact efficiency is determined by using the impact efficiency formula of the coupled flow field Reynolds number and the particle Stokes number; The particle bonding probability is determined according to the ash particle impact efficiency.

8. A computer device comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the method for quantitatively measuring particle bonding probability according to claim 7.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for quantitatively measuring particle bonding probability according to claim 7 is implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the method for quantitatively measuring particle bonding probability according to claim 7 is implemented.

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