A design method of array nozzle for pipeline full-field atomization

Abstract

This invention discloses a design method for array-type nozzles that achieve full-field atomization in pipelines. The method first constructs multiple theoretical nozzle models, then selects and optimizes these models based on atomization characteristics. Next, it obtains the atomization flow and heat transfer characteristics under the optimized model and combines this with a multi-dimensional physical field to complete the coupled design of the nozzle positions. Through the synergistic optimization of circumferential uniform array layout and axial adaptive arrangement, this design achieves 100% atomization coverage across the pipeline cross-section without dead angles, effectively solving the core problems of atomization blind spots, insufficient vaporization, and inadequate cooling temperature drop in traditional designs. In practical applications, this method can ensure a droplet vaporization rate of ≥95% within the pipeline, significantly improving the cooling temperature drop effect while further enhancing system redundancy reliability and reducing operating energy consumption. It provides key technical support for efficient water mist vaporization cooling of large-diameter pipelines and is suitable for the stringent cooling requirements of high-end equipment such as gas turbines.

Description

Technical Field

[0001] This invention belongs to the field of gas turbine cooling technology, specifically relating to an array nozzle design method for full-field atomization of large-diameter long pipes. Background Technology

[0002] Gas turbines are core power units in the energy and aerospace fields, and their output power and thermal efficiency depend on stable operation under high-temperature conditions. Traditional gas turbines mainly draw high-pressure air from their own compressors as the cooling medium for their blades. This cooling method results in performance losses and the quality of the obtained cooling medium is relatively poor. Water mist vaporization cooling technology, with its core advantages of high heat exchange efficiency and low energy loss, can obtain a high-quality and efficient cooling medium. Its core principle is to atomize cooling water into micron-sized droplets through specialized nozzles. These droplets form a counter-current contact with the high-temperature airflow inside the pipe, rapidly absorbing a large amount of heat through convective heat transfer and vaporization phase change, ultimately achieving precise temperature reduction of the high-temperature airflow and ensuring the safe operation of downstream components.

[0003] Currently, water mist vaporization cooling technology still faces many key challenges in engineering practice. Most existing solutions use only a single type of nozzle and lack a targeted matching mechanism with core operating parameters such as airflow rate, initial temperature, pipe size, and pressure in actual gas turbine operation, leading to a disconnect between nozzle performance and operating requirements. The core difficulty lies in achieving a sufficiently fine and uniformly dispersed water mist under high-speed airflow conditions. Large, incompletely atomized water droplets not only fail to effectively participate in heat exchange but also directly impact compressor blades, causing mechanical failures such as blade wear and vibration. Secondly, the time from nozzle injection to entry into the core evaporation zone is extremely short, and traditional designs lack precise matching between droplet size and vaporization distance, potentially disrupting the stability of the mainstream flow. Furthermore, the nozzle's atomization capability directly determines the core characteristics of spray cooling, including droplet size distribution, spatial dispersion uniformity, and heat exchange interface area. Existing designs lack a systematic atomization performance optimization scheme, resulting in significant fluctuations in cooling effect and insufficient temperature drop accuracy.

[0004] Therefore, a new technical solution is needed to solve the above problems. Summary of the Invention

[0005] To address the shortcomings of existing technologies, such as mismatch between nozzle selection and operating parameters, uneven spray coverage across pipe cross-sections, and lack of a collaborative verification mechanism for nozzle selection and layout, the present invention aims to provide a design method for array-type nozzles that achieve full-field atomization of pipelines, enabling precise selection of nozzle types, uniform coverage of array layout, and reliable verification of design schemes.

[0006] The objective of this invention is achieved through the following technical solution:

[0007] A method for designing an array nozzle for full-field atomization in a pipeline includes the following steps:

[0008] Step 1: Establish three-dimensional nozzle models for candidate nozzles with different structural dimensions, use a specified turbulence and discrete phase model, set the boundary conditions of the modeling process, compare the spray models of several discrete phase models, and select the suitable nozzle model.

[0009] Step 2: Build a test bench for atomization characteristics with a laser particle size analyzer, select physical nozzles corresponding to the compatible nozzle models, and conduct nozzle tests to obtain the atomization characteristics of each physical nozzle under different working conditions, including the average droplet diameter and spray angle.

[0010] Step 3: Based on the adapted nozzle model and combined with the atomization characteristics of the actual atomizing nozzle, calculate and determine the core parameters of the array arrangement, including the number of circumferential nozzle models, the angle between the nozzle model outlet and the pipeline model axis, and the radial installation distance of the nozzle models.

[0011] Step 4: Set up a pipeline nozzle atomization test bench, install the actual nozzle in the pipeline nozzle atomization test bench according to the core parameters in Step 3, and carry out pipeline temperature drop test to verify the feasibility of the nozzle atomization scheme.

[0012] Step 5: Output and organize the nozzle selection model, nozzle layout scheme, and feasibility verification data.

[0013] Furthermore, step one includes the following steps:

[0014] Step 1.1) Select different candidate nozzles and establish a three-dimensional CFD simulation model using ANSYS Fluent software. In ANSYS Fluent software, the turbulence model is selected as the k-ε two-equation model, and the discrete phase model is used to simulate droplet motion and vaporization phase change.

[0015] Step 1.2) Set the modeling boundary conditions: the inlet is mass flow rate, the outlet is pressure outlet, the wall is a non-slip adiabatic boundary, the droplet injection method is radial injection, and the water supply pressure is set according to the nozzle type.

[0016] Step 1.3) Select several spray models in the discrete phase model to perform nozzle simulation calculations, collect the average droplet diameter at the outlet of the discrete phase model, compare several spray models under different discrete phase models, and select a suitable nozzle model for subsequent simulation calculations.

[0017] Further, in step 1.3), six spray models from the discrete phase model—Solid-Cone, Point-Cone, Hollow-Cone, Ring-Cone, Plain-Orifice, and Air-Blast—are selected for nozzle simulation calculations.

[0018] Furthermore, step two includes the following steps:

[0019] Step 2.1) Build an atomization characteristic test bench, including a laser particle size analyzer and a high-pressure liquid supply pump. The laser particle size analyzer is used to measure the average particle size of liquid particles, and the high-pressure liquid supply pump is used to supply liquid water.

[0020] Step 2.2) Select different physical nozzles and test them under different working conditions;

[0021] Step 2.3) Record and organize the experimental data to form the average droplet diameter and spray angle of different nozzles under various spray flow rates, so as to provide actual data support for subsequent nozzle simulation.

[0022] Furthermore, in step 2.2), the different working conditions include: spray flow rates of 2.6 g / s, 3.9 g / s, and 5.0 g / s, respectively. Each working condition is operated stably for 3 minutes, and particle size data is collected every 10 seconds. Each working condition is repeated 3 times and the average value is taken.

[0023] Furthermore, step three includes the following steps:

[0024] Step 3.1) Establish an overall pipeline nozzle atomization simulation model including the pipeline model, import the actual atomization characteristic data obtained from the experiment in Step 2 into the selected nozzle model, and adjust the droplet initial velocity distribution, particle size distribution function and spray cone angle parameters of the discrete phase model in ANSYS Fluent software;

[0025] Step 3.2) Based on the overall pipeline nozzle atomization simulation model, set multiple candidate nozzle installation points on the circumferential section of the pipeline model, run simulations with different numbers of nozzle models, collect the temperature at the outlet of the pipeline model, compare it with the temperature at the inlet of the pipeline model, obtain the actual temperature drop data, and select the nozzle model distribution corresponding to the optimal temperature drop effect.

[0026] Step 3.3) Based on the overall pipeline nozzle atomization simulation model, under the premise of fixed circumferential number of nozzle models and radial installation distance, set the outlet angle between the outlet of multiple nozzle models and the axis of the pipeline model, run the simulation conditions of different nozzle model outlet angles, collect the temperature at the outlet of the pipeline model, and compare it with the temperature at the inlet of the pipeline model to obtain the actual temperature drop data, and select the outlet angle corresponding to the optimal temperature drop effect.

[0027] Step 3.4) Based on the overall pipeline nozzle atomization simulation model, under the premise of fixed circumferential number of nozzle models and outlet angle, set multiple radial installation distances for nozzle models, run simulation conditions with different radial distances, collect the temperature at the outlet of the pipeline model, compare it with the temperature at the inlet of the pipeline model, obtain the actual temperature drop data, and select the radial installation distance of the nozzle corresponding to the optimal temperature drop effect.

[0028] Step 3.5) Based on the optimal number of circumferential nozzle models, the angle between the nozzle model outlet and the pipeline model axis, and the radial installation distance of the nozzle models obtained in Steps 3.2), 3.3), and 3.4), construct a complete array nozzle arrangement simulation model and run a full-condition simulation; collect data on the overall atomization coverage, droplet vaporization rate, and temperature drop uniformity of different cross sections of the pipeline model. If there is room for optimization, fine-tune the parameters and repeat the simulation to finally obtain the nozzle model arrangement setting with the optimal temperature drop effect.

[0029] Furthermore, step four includes the following steps:

[0030] Step 4.1) Build a pipeline nozzle atomization test bench, select the actual nozzle that is consistent with the simulation model, and set up temperature measuring points at the pipeline inlet and outlet respectively;

[0031] Step 4.2) Install the actual nozzles according to the optimal arrangement parameters determined in Step 3.5); start the blower and liquid supply pump to conduct the experiment;

[0032] Step 4.3) After the operating conditions stabilize, start collecting data and record the temperature, airflow rate, and liquid supply flow rate at each measuring point during the experiment.

[0033] Step 4.4) Calculate the temperature drop at the pipe outlet measured in the experiment and compare it with the full-condition simulation data in Step 3.5); if the temperature drop error between the experiment and the simulation is not greater than the preset threshold, the optimal nozzle arrangement setting is confirmed to be effective; if the error is greater than the preset threshold, analyze the influencing factors including pipe leakage and nozzle installation deviation, correct the parameters and repeat the experiment until the data matches the design requirements.

[0034] Furthermore, a Roots blower is used to provide a stable airflow, and a high-pressure liquid supply pump is used to precisely control the spray flow rate. In step 4.1), an MT-X48 channel temperature monitoring instrument is used in conjunction with a K-type armored thermocouple to measure the temperature.

[0035] Furthermore, in step 4.3), data collection begins after the operating conditions have been running stably for 3 minutes. The temperature monitoring instrument records the temperature of each measuring point every 5 seconds. Each experiment lasts for 10 minutes and is repeated 3 times to eliminate random errors. Key parameters such as airflow rate and liquid supply flow rate are recorded synchronously during the experiment.

[0036] Further, in step 4.4), the preset threshold is 5%.

[0037] Compared with the prior art, the beneficial effects of the present invention are:

[0038] The advantages of this invention are that it can achieve precise matching between the nozzle and the operating conditions, achieving a vaporization rate of ≥95% and a temperature drop of ≥40K with precise control. Through optimization of the coupling between multiple nozzles in a circumferential array and the outlet angle, the pipeline spray coverage is ≥98%, significantly improving cooling uniformity compared to a single-point arrangement and preventing component damage. Verified through CFD simulation and physical testing, the pressure loss deviation is ≤4.8%, and the structural safety margin is ≥1.8, eliminating risks in engineering applications. This method is highly versatile, adaptable to pipeline conditions ranging from small to extremely large inner diameters, and can be extended to scenarios such as aero-engines and industrial boilers, reducing secondary development costs. Attached Figure Description

[0039] Figure 1 This is a schematic diagram of the design process of the full-field atomization array nozzle of the present invention.

[0040] Figure 2 This is a schematic diagram of the pipeline model and nozzle parameters of the present invention.

[0041] Figure 3 This is a diagram showing the temperature distribution of the pipeline at different inclination angles according to the present invention.

[0042] Figure 4 This is a diagram showing the pipe temperature distribution under different radial ratios according to the present invention. Detailed Implementation

[0043] The specific embodiments of the present invention will be further described in detail below with reference to the accompanying drawings. The technical solutions in the embodiments of the present invention will be clearly and completely described. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0044] The following description, with reference to the accompanying drawings, further describes specific technical embodiments of the present invention to enable those skilled in the art to further understand the present invention, without constituting a limitation on its rights.

[0045] Please combine Figure 1 As shown, the present invention provides a method for designing an array nozzle for full-field atomization in a pipeline, comprising the following steps:

[0046] Step 1: Establish 3D nozzle models for candidate nozzles of different structural dimensions, using a specified turbulence and discrete phase model, setting simulated boundary conditions, comparing spray models from several discrete phase models, and selecting the suitable nozzle model. Specifically, Step 1 includes the following steps:

[0047] Step 1.1) Select different candidate nozzles based on their actual structural dimensions, such as nozzle orifice diameter (0.5~1.2mm) and nozzle length. Establish a three-dimensional CFD simulation model using ANSYS Fluent software. In ANSYS Fluent, the k-ε two-equation turbulence model is selected, and the discrete phase model (DPM) is used to simulate droplet motion and vaporization phase transition.

[0048] Step 1.2) Set the modeling boundary conditions: inlet is mass flow rate, outlet is pressure outlet, wall is a no-slip adiabatic boundary, droplet injection mode is radial jet, and water supply pressure is set according to nozzle type to obtain the following results: Figure 2 The diagram shows the pipe model and nozzle parameters.

[0049] Step 1.3) Select six commonly used spray models in the discrete phase model: Solid-Cone, Point-Cone, Hollow-Cone, Ring-Cone, Plain-Orifice, and Air-Blast, to perform nozzle simulation calculations. Collect the average droplet diameter at the outlet of the discrete phase model, compare several spray models under different discrete phase models, and select the nozzle model that matches the actual atomization effect for subsequent simulation calculations.

[0050] Step Two: Construct a test bench containing a laser particle size analyzer to assess atomization characteristics. Select physical nozzles corresponding to the matched nozzle model for testing. Obtain the atomization characteristics of each nozzle under different operating conditions, including average droplet diameter and spray angle. Specifically, Step Two includes the following steps:

[0051] Step 2.1) Set up an atomization characteristic test bench, including a Nike PW180-B laser particle size analyzer and a high-pressure liquid supply pump. The laser particle size analyzer is used to measure the average particle size of liquid particles, and the high-pressure liquid supply pump is used to supply liquid water.

[0052] Step 2.2) Select different physical nozzles and test them under different working conditions; the spray flow rates are 2.6g / s, 3.9g / s, and 5.0g / s, respectively. Each working condition is run stably for 3 minutes, and one set of particle size data is collected every 10 seconds. Each working condition is repeated 3 times and the average value is taken.

[0053] Step 2.3) Record and organize the experimental data to form the average droplet diameter and spray angle of different nozzles under various spray flow rates, so as to provide actual data support for subsequent nozzle simulation.

[0054] Step 3: Based on the adapted nozzle model and the atomization characteristics of the actual atomizing nozzles, calculate and determine the core parameters of the array arrangement, including the number of circumferential nozzle models, the angle between the nozzle model outlet and the pipeline model axis, and the radial installation distance of the nozzle models. Specifically, Step 3 includes the following steps:

[0055] Step 3.1) Establish an overall pipeline nozzle atomization simulation model including the pipeline model. Import the actual atomization characteristic data obtained from the experiment in Step 2 into the selected CFD simulation nozzle model. Adjust the droplet initial velocity distribution, particle size distribution function and spray cone angle parameters of the discrete phase model in ANSYS Fluent software.

[0056] Step 3.2) Based on the overall pipeline nozzle atomization simulation model, set multiple nozzle installation candidate points on the circumferential section of the pipeline model, such as 4, 6, and 8 nozzle points. Run simulations with different numbers of nozzle models, collect the temperature at the outlet of the pipeline model, and compare it with the temperature at the inlet of the pipeline model to obtain the actual temperature drop data. Select the nozzle model distribution corresponding to the optimal temperature drop effect.

[0057] Step 3.3) Based on the overall pipeline nozzle atomization simulation model, under the premise of fixed circumferential number and radial installation distance of the nozzle model, set the outlet angles between multiple nozzle model outlets and the pipeline model axis, such as 5°, 8°, 10°, and 12°. Run simulations under different nozzle model outlet angles, collect the temperature at the pipeline model outlet, and compare it with the temperature at the pipeline model inlet to obtain actual temperature drop data. Select the outlet angle corresponding to the optimal temperature drop effect to obtain the following results: Figure 3 The diagram shows the pipe temperature distribution at different inclination angles.

[0058] Step 3.4) Based on the overall pipeline nozzle atomization simulation model, under the premise of fixed circumferential number of nozzle models and outlet angle, set multiple nozzle models with radial installation distances such as 5mm, 7mm, and 9mm. Run simulations with different radial distances, collect the temperature at the pipeline model outlet, and compare it with the temperature at the pipeline model inlet to obtain actual temperature drop data. Select the nozzle radial installation distance corresponding to the optimal temperature drop effect to obtain the following results: Figure 4 Temperature distribution diagram of pipe under different radial ratios;

[0059] Step 3.5) Based on the optimal number of circumferential nozzle models, the angle between the nozzle model outlet and the pipeline model axis, and the radial installation distance of the nozzle models obtained in Steps 3.2), 3.3), and 3.4), construct a complete array nozzle arrangement simulation model and run a full-condition simulation; collect data on the overall atomization coverage, droplet vaporization rate, and temperature drop uniformity of different cross sections of the pipeline model. If there is room for optimization, fine-tune the parameters and repeat the simulation to finally obtain the nozzle model arrangement setting with the optimal temperature drop effect.

[0060] Step Four: Construct a pipeline nozzle atomization test bench. Install the physical nozzle onto the test bench according to the core parameters described in Step Three and conduct a pipeline temperature drop experiment to verify the feasibility of the nozzle atomization scheme. Specifically, Step Four includes the following steps:

[0061] Step 4.1) Build a pipeline nozzle atomization test bench, select the actual nozzle consistent with the simulation model, use a Roots blower to provide stable airflow, use a high-pressure liquid supply pump to accurately control the spray flow rate, use an MT-X48 channel temperature monitoring instrument with K-type armored thermocouples to measure temperature, and set up temperature measuring points at the pipeline inlet and outlet respectively.

[0062] Step 4.2) Install the physical nozzles according to the optimal arrangement parameters determined in Step 3.5); ensure that the circumferential number, outlet angle, and radial distance are consistent with the simulation; check the pipeline sealing, start the fan and liquid supply pump to conduct the experiment, and ensure that the liquid supply pressure is stably output according to the simulation setting value.

[0063] Step 4.3) After the operating conditions stabilize, start collecting data. The temperature monitoring instrument records the temperature of each measuring point every 5 seconds. Each experiment lasts for 10 minutes and is repeated 3 times to eliminate random errors. The temperature, airflow rate, and liquid supply rate of each measuring point are recorded simultaneously during the experiment.

[0064] Step 4.4) Calculate the temperature drop at the pipe outlet measured in the experiment and compare it with the full-condition simulation data in Step 3.5); if the temperature drop error between the experiment and the simulation is ≤5%, the optimal nozzle arrangement setting is confirmed to be effective; if the error is greater than 5%, analyze the influencing factors including pipe leakage and nozzle installation deviation, correct the parameters and repeat the experiment until the data matches the design requirements.

[0065] Step 5: Output and organize the nozzle selection model, nozzle layout scheme, and feasibility verification data.

[0066] The array nozzle design method for full-field atomization in pipelines described above enables precise selection of nozzle types, uniform coverage of the array arrangement, and reliable verification of the design scheme. The resulting nozzle selection model, nozzle layout scheme, and feasibility verification data can be used to create array nozzle design drawings, which can then be applied to standardized engineering solutions such as gas turbine cooling systems.

Claims

1. A method for designing an array nozzle for full-field atomization in a pipeline, characterized in that, Includes the following steps: Step 1: Establish three-dimensional nozzle models for candidate nozzles with different structural dimensions, use a specified turbulence and discrete phase model, set the boundary conditions of the modeling process, compare the spray models of several discrete phase models, and select the suitable nozzle model. Step 2: Build a test bench for atomization characteristics with a laser particle size analyzer, select physical nozzles corresponding to the compatible nozzle models, and conduct nozzle tests to obtain the atomization characteristics of each physical nozzle under different working conditions, including the average droplet diameter and spray angle. Step 3: Based on the adapted nozzle model and combined with the atomization characteristics of the actual atomizing nozzle, calculate and determine the core parameters of the array arrangement, including the number of circumferential nozzle models, the angle between the nozzle model outlet and the pipeline model axis, and the radial installation distance of the nozzle models. Step 4: Set up a pipeline nozzle atomization test bench, install the actual nozzle in the pipeline nozzle atomization test bench according to the core parameters in Step 3, and carry out pipeline temperature drop test to verify the feasibility of the nozzle atomization scheme. Step 5: Output and organize the nozzle selection model, nozzle layout scheme, and feasibility verification data.

2. The array nozzle design method for full-field atomization of pipelines according to claim 1, characterized in that, Step one includes the following steps: Step 1.1) Select different candidate nozzles and establish a three-dimensional CFD simulation model using ANSYS Fluent software. In ANSYS Fluent software, the turbulence model is selected as the k-ε two-equation model, and the discrete phase model is used to simulate droplet motion and vaporization phase change. Step 1.2) Set the modeling boundary conditions: the inlet is mass flow rate, the outlet is pressure outlet, the wall is a non-slip adiabatic boundary, the droplet injection method is radial injection, and the water supply pressure is set according to the nozzle type. Step 1.3) Select several spray models in the discrete phase model to perform nozzle simulation calculations, collect the average droplet diameter at the outlet of the discrete phase model, compare several spray models under different discrete phase models, and select a suitable nozzle model for subsequent simulation calculations.

3. The array nozzle design method for full-field atomization of pipelines according to claim 2, characterized in that, In step 1.3), six spray models from the discrete phase model—Solid-Cone, Point-Cone, Hollow-Cone, Ring-Cone, Plain-Orifice, and Air-Blast—are selected for nozzle simulation calculations.

4. The array nozzle design method for full-field atomization of pipelines according to claim 1, characterized in that, Step two includes the following steps: Step 2.1) Build an atomization characteristic test bench, including a laser particle size analyzer and a high-pressure liquid supply pump. The laser particle size analyzer is used to measure the average particle size of liquid particles, and the high-pressure liquid supply pump is used to supply liquid water. Step 2.2) Select different physical nozzles and test them under different working conditions; Step 2.3) Record and organize the experimental data to form the average droplet diameter and spray angle of different nozzles under various spray flow rates, so as to provide actual data support for subsequent nozzle simulation.

5. The array nozzle design method for full-field atomization of pipelines according to claim 4, characterized in that, In step 2.2), the different working conditions include: spray flow rates of 2.6 g / s, 3.9 g / s, and 5.0 g / s, respectively. Each working condition is operated stably for 3 minutes, and a set of particle size data is collected every 10 seconds. Each working condition is repeated 3 times and the average value is taken.

6. The array nozzle design method for full-field atomization of pipelines according to claim 1, characterized in that, Step three includes the following steps: Step 3.1) Establish an overall pipeline nozzle atomization simulation model including the pipeline model, import the actual atomization characteristic data obtained from the experiment in Step 2 into the selected nozzle model, and adjust the droplet initial velocity distribution, particle size distribution function and spray cone angle parameters of the discrete phase model in ANSYS Fluent software; Step 3.2) Based on the overall pipeline nozzle atomization simulation model, set multiple candidate nozzle installation points on the circumferential section of the pipeline model, run simulations with different numbers of nozzle models, collect the temperature at the outlet of the pipeline model, compare it with the temperature at the inlet of the pipeline model, obtain the actual temperature drop data, and select the nozzle model distribution corresponding to the optimal temperature drop effect. Step 3.3) Based on the overall pipeline nozzle atomization simulation model, under the premise of fixed circumferential number of nozzle models and radial installation distance, set the outlet angle between the outlet of multiple nozzle models and the axis of the pipeline model, run the simulation conditions of different nozzle model outlet angles, collect the temperature at the outlet of the pipeline model, and compare it with the temperature at the inlet of the pipeline model to obtain the actual temperature drop data, and select the outlet angle corresponding to the optimal temperature drop effect. Step 3.4) Based on the overall pipeline nozzle atomization simulation model, under the premise of fixed circumferential number of nozzle models and outlet angle, set multiple radial installation distances for nozzle models, run simulation conditions with different radial distances, collect the temperature at the outlet of the pipeline model, compare it with the temperature at the inlet of the pipeline model, obtain the actual temperature drop data, and select the radial installation distance of the nozzle corresponding to the optimal temperature drop effect. Step 3.5) Based on the optimal number of circumferential nozzle models, the angle between the nozzle model outlet and the pipeline model axis, and the radial installation distance of the nozzle models obtained in Steps 3.2), 3.3), and 3.4), construct a complete array nozzle arrangement simulation model and run a full-condition simulation; collect data on the overall atomization coverage, droplet vaporization rate, and temperature drop uniformity of different cross sections of the pipeline model. If there is room for optimization, fine-tune the parameters and repeat the simulation to finally obtain the nozzle model arrangement setting with the optimal temperature drop effect.

7. The array nozzle design method for full-field atomization of pipelines according to claim 1, characterized in that, Step four includes the following steps: Step 4.1) Build a pipeline nozzle atomization test bench, select the actual nozzle that is consistent with the simulation model, and set up temperature measuring points at the pipeline inlet and outlet respectively; Step 4.2) Install the actual nozzles according to the optimal arrangement parameters determined in Step 3.5); start the blower and liquid supply pump to conduct the experiment; Step 4.3) After the operating conditions stabilize, start collecting data and record the temperature, airflow rate, and liquid supply rate at each measuring point during the experiment. Step 4.4) Calculate the temperature drop at the pipe outlet measured in the experiment and compare it with the full-condition simulation data in Step 3.5); if the temperature drop error between the experiment and the simulation is not greater than the preset threshold, the optimal nozzle arrangement setting is confirmed to be effective; if the error is greater than the preset threshold, analyze the influencing factors including pipe leakage and nozzle installation deviation, correct the parameters and repeat the experiment until the data matches the design requirements.

8. The array nozzle design method for full-field atomization of pipelines according to claim 7, characterized in that, A Roots blower is used to provide a stable airflow, and a high-pressure liquid supply pump is used to precisely control the spray flow. In step 4.1), an MT-X48-channel temperature monitoring instrument is used with a K-type armored thermocouple to measure the temperature.

9. The array nozzle design method for full-field atomization of pipelines according to claim 7, characterized in that, In step 4.3), data collection begins after the operating conditions have been stable for 3 minutes. The temperature monitoring instrument records the temperature of each measuring point every 5 seconds. Each experiment lasts for 10 minutes and is repeated 3 times to eliminate random errors. Key parameters such as airflow rate and liquid supply rate are recorded synchronously during the experiment.

10. The array nozzle design method for full-field atomization of pipelines according to claim 7, characterized in that, In step 4.4), the preset threshold is 5%.

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