A multi-parameter optimization method for marine integrated stove structure based on numerical simulation

Abstract

The present application relates to a kind of multi-parameter optimization methods of marine integrated stove structure based on numerical simulation, the method obtains the three-dimensional model of marine integrated stove by parameterized modeling, scheme design is carried out by orthogonal test method, determine the multi-parameter combination needing numerical simulation.Based on Fluent, the volume fraction results of each parameter combination model sampling point pollutant are obtained.By range analysis to the results, the influence order of each parameter of structure on the collection efficiency of marine integrated stove is obtained, and the optimal structure parameter combination is obtained, and the structure optimization is completed.The problem that airflow organization is complex and changeable in marine kitchen cabin, and it is difficult to make better design for marine integrated stove is solved, to determine the optimal structure parameter combination of the best collection efficiency of marine integrated stove.

Description

Technical Field

[0001] This invention relates to the field of marine kitchen equipment technology, and more particularly to a multi-parameter optimization method for the structure of a marine kitchen integrated stove based on simulation analysis. Background Technology

[0002] The galley is an indispensable and vital functional area on a ship, and also a primary source of large amounts of cooking fumes and steam. Due to the high-temperature frying, stir-frying, and deep-frying methods used in Chinese cooking, the amount of fumes produced is enormous. However, the galley space is small, has a high heat load, and poor ventilation, resulting in relatively low indoor environmental quality. The spread of galley fumes not only affects the working comfort and health of the crew operating in the galley, but can also spread to other compartments, impacting the overall air quality of the ship. Therefore, the design and optimization of fume collection and treatment equipment in the galley to prevent the escape of fumes and steam and improve the environment of the galley and surrounding compartments has always been a key focus of galley design.

[0003] Currently, the main research methods for determining the structural parameters of range hoods or integrated stoves are experimental methods and numerical simulation methods. Structural optimization design methods based on numerical simulation can not only accelerate the development process of new products and analyze and demonstrate a large number of structural design schemes in the early stages of design and development, but also reduce the processing of prototypes and greatly reduce R&D costs.

[0004] Because marine galleries are highly airtight and equipped with exhaust systems, the airflow organization inside the galleries is complex and variable. Affected by factors such as air volume and structure, it is impossible to make an optimal design for marine integrated stoves by changing only a single parameter. Therefore, there is an urgent need for a multi-parameter optimization numerical simulation analysis method for the structure of marine integrated stoves. Summary of the Invention

[0005] To address the challenge of designing optimal integrated cooktops for marine galleys due to the complex and variable airflow patterns within the galley, a multi-parameter optimization method based on numerical simulation is proposed to determine the optimal combination of structural parameters that maximizes the cooktop's collection efficiency.

[0006] The technical solution of this invention is as follows:

[0007] A multi-parameter optimization method for marine integrated stove structure based on numerical simulation includes the following steps:

[0008] Step 1: Determine the structure of the marine integrated stove and establish a parametric three-dimensional structural model of the marine integrated stove;

[0009] Parametric modeling methods were used for the design parameters in the three-dimensional model of the marine integrated stove, including the total exhaust volume of the integrated stove, the width of the air inlet, the side suction position, the top suction position, and the air curtain volume.

[0010] Determine the structure of the marine galley and establish a three-dimensional structural model of the marine galley;

[0011] Establish a fluid domain model for integrated marine kitchen stoves;

[0012] Step 2: Set up sampling points for monitoring pollutant concentrations in the structure of the marine integrated stove;

[0013] Step 3: For the design parameters of the marine integrated stove structure, the orthogonal test method is used to design the scheme. The orthogonal test table that needs to be calculated is arranged, and the fluid domain model of the marine kitchen integrated stove is established according to the parameters in the table.

[0014] Step 4: Mesh the fluid domain model of the marine integrated kitchen stove;

[0015] Meshing was performed using Fluent Meshing software, selecting polyhedral and hexahedral Ploy-Hexcore meshing, and adding hexahedral mesh boundary layers at the fluid domain walls;

[0016] Check the mesh quality, including element quality and skewness;

[0017] Perform mesh independence verification;

[0018] Step 5: Name the fluid domain model of the marine kitchen integrated stove, including the stove burner, fresh air inlet, air curtain inlet, smoke exhaust outlet, wall, and bottom boundary.

[0019] Step 6: Set up the fluid flow model in the fluid simulation software Fluent; select the Realizable k-ε turbulence model for the fluid domain model of the marine integrated kitchen stove, define the fluid domain material, pressure, and gravity, and set the wall boundary conditions and inlet and outlet physical parameters for the fluid domain model of the marine integrated kitchen stove.

[0020] Step 7: Set the residual curve. Set the monitoring curve according to the inlet and outlet flow rates of the flow field, set the total number of calculation steps of the calculation model, and perform iterative solution to obtain the calculation results.

[0021] Step 8: Determine whether the calculation process has converged based on the residual curve, calculation results, and inlet and outlet flow rates of the flow field. If converged, post-process the calculation results to obtain the pollutant volume fraction results at the sampling points. If not converged, adjust the mesh and boundary conditions and recalculate until the calculation process converges.

[0022] Step 9: Save the calculation results;

[0023] Step 10: Based on the calculation parameters in the orthogonal experimental table, modify the fluid domain model of the marine kitchen integrated stove, repeat steps 4-9, obtain multiple simulation results, and organize the data;

[0024] Step 11: Perform range analysis on the data to determine the magnitude of the impact of each parameter on the collection efficiency of the marine integrated stove;

[0025] By comparing the simulation results, the optimal combination of structural parameters for marine integrated stoves was obtained, and structural optimization was completed.

[0026] Furthermore, the specific steps include:

[0027] Step 1: Determine the structure of the marine integrated stove and use the modeling software Space Claim to create a parametric 3D structural model of the marine integrated stove; For the structural design parameters in the 3D model of the marine integrated stove, including the width of the integrated air intake, the position of the side air intake, and the position of the top air intake, use the parametric modeling method.

[0028] The structure of the marine kitchen was determined, and a three-dimensional structural model of the marine kitchen was established. To verify the scenario of a closed kitchen, the space had no windows or doors on the four walls, and a long strip of fresh air supply vent was set on the top of the kitchen. The fresh air volume was determined according to the exhaust volume of the integrated stove.

[0029] A fluid domain model for a marine integrated kitchen stove is established. Fluid extraction operations are performed at the stove inlet (fluid inlet) and exhaust outlet (fluid outlet) of the three-dimensional model of the marine integrated stove to form the internal fluid domain of the integrated stove. Fluid extraction operations are also performed at the fresh air inlet of the three-dimensional model of the marine kitchen stove to form the external fluid domain of the integrated stove. The internal and external fluid domain models of the integrated stove together constitute the structural fluid domain model of the marine integrated kitchen stove.

[0030] For the structural fluid domain model of the marine kitchen integrated stove, sampling points are set up to monitor the concentration of pollutants. In order to better reflect and compare the distribution of pollutants in the cabins of various simulation models in different schemes, appropriate sampling locations are selected from three dimensions: points, lines, and surfaces to show the concentration of pollutants in various places in the cabin.

[0031] Step 2: For the design parameters of the three-dimensional model of the marine integrated stove, the orthogonal experimental design method is used to design the scheme. Five factors are used as variables: total exhaust volume of the integrated stove, width of the air inlet, position of the side air inlet, position of the top air inlet, and air curtain volume. According to the above factors and variables, the factors and variables are arranged and combined according to the conventional scheme. Considering the need to save computing resources, the orthogonal experimental design is used for the scheme design. At the same time, the control variable method is used to analyze the impact of a single variable on the collection effect of the integrated stove. An orthogonal experimental table is established, and the fluid domain model of the marine kitchen integrated stove is established according to the parameters in the table.

[0032] Step 3: Mesh the fluid domain model of the marine integrated kitchen stove;

[0033] Meshing was performed using Fluent meshing software, selecting polyhedral and hexahedral Ploy-Hexcore meshing. Five hexahedral mesh boundary layers were created at the fluid domain wall. The boundary layers can be generated directly in Fluent meshing software.

[0034] Mesh quality is evaluated using criteria including element quality and skewness. Mesh independence is verified by establishing models with various mesh counts for calculation. After the calculation converges, the difference between the pressure drop values ​​before and after the calculation is completed is compared to improve computational efficiency and ensure the accuracy of the results in order to select the appropriate mesh count for the computational model.

[0035] Step 4: Name the fluid domain model of the marine kitchen integrated stove, and name the boundaries of the integrated stove fluid domain, including the stove burner, fresh air inlet, air curtain inlet, smoke exhaust outlet, walls, and bottom surface;

[0036] Step 5: Set the calculation parameters for the fluid domain model of the marine integrated kitchen stove in the fluid software Fluent; select the Realizable k-ε turbulence model for the fluid domain model of the marine integrated kitchen stove, define the fluid domain material as air, and the reference pressure as one atmosphere; set the wall boundary conditions and inlet / outlet physical parameters for the fluid domain model of the marine integrated kitchen stove; use steam to simulate oil fume pollutants, with the source of emission at 2 / 3 of the height inside the stove; set the fresh air inlet as a velocity inlet boundary; set the air curtain inlet as a velocity inlet boundary; set the exhaust outlet as a pressure outlet boundary, with the reference pressure as standard atmosphere; set the cabin walls and floor as non-slip wall boundary conditions;

[0037] Step 6: Set the residual curve in the fluid software Fluent, and establish a monitoring curve based on the total inlet and outlet mass flow rate of the fluid domain model of the marine kitchen integrated stove; set the total number of calculation steps, and perform iterative solution to obtain the calculation results;

[0038] Step 7: In the fluid software Fluent, determine whether the calculation process has converged based on the residual curve, calculation results, and inlet and outlet mass flow rates. If converged, post-process the calculation results to obtain the pollutant volume fraction results at the sampling points. If not converged, adjust the mesh and boundary conditions and recalculate until the calculation process converges.

[0039] Step 8: Save the calculation results and calculate the pollutant collection efficiency in the galley compartment. Since the steam source is two fixed burners, and the steam outlet of the entire simulation compartment is a fixed integrated stove exhaust port, the steam concentration at the outlet can be calculated proportionally to the steam source to obtain the steam collection efficiency.

[0040]

[0041] Step 9: Based on the calculation parameters of each different test number in the orthogonal experimental table, modify the fluid domain model of the marine integrated kitchen stove, repeat steps 4-9, and obtain multiple simulation results;

[0042] Step 10: Perform range analysis on the above simulation results to determine the magnitude of the influence of each parameter on the collection efficiency of the marine integrated stove, and determine the order of influence on the pollutant collection efficiency.

[0043] Step 11: Compare the simulation results to obtain the optimal combination of structural parameters for the marine integrated stove; using the above structural parameters for the marine integrated stove, repeat steps 5-8 to calculate the pollutant collection efficiency under these structural parameters, thus completing the structural optimization.

[0044] The beneficial effects of this invention are as follows:

[0045] A multi-parameter optimization method for marine integrated stove structures based on numerical simulation is proposed. Through parametric modeling, a three-dimensional model of the marine integrated stove is obtained. Orthogonal experimental design is used to determine the required combination of multiple parameters for numerical simulation. Fluent is used to calculate the pollutant volume fraction at sampling points for each parameter combination model. Range analysis of the results is performed to rank the influence of each structural parameter on the collection efficiency of the marine integrated stove, and the optimal combination of structural parameters is obtained, thus completing the structural optimization. The results show that the optimal pollutant collection efficiency scheme under the specified structural parameters can be obtained. Attached Figure Description

[0046] Figure 1 3D model of marine integrated stove;

[0047] Figure 2 Fluid domain model for marine kitchen integrated stove;

[0048] Figure 3 Fluid domain mesh model for marine kitchen integrated stove;

[0049] Figure 4 Fluid domain mesh independence verification results;

[0050] Figure 5 Distribution map of sampling points for fluid domain model of marine integrated kitchen stove;

[0051] Figure 6 Pollutant collection efficiency under different total exhaust volumes in orthogonal experiments;

[0052] Figure 7 Pollutant collection efficiency under different air inlet widths in orthogonal experiments;

[0053] Figure 8 Pollutant collection efficiency at different side suction positions in orthogonal experiments;

[0054] Figure 9 Pollutant collection efficiency at different top suction positions in orthogonal experiments;

[0055] Figure 10 Pollutant collection efficiency under different air curtain volumes in orthogonal experiments. Detailed Implementation

[0056] The present invention will now be described in detail with reference to the accompanying drawings and specific embodiments. These embodiments are based on the technical solution of the present invention and provide detailed implementation methods and specific operating procedures. However, the scope of protection of the present invention is not limited to the following embodiments.

[0057] A multi-parameter optimization method for marine integrated stove structure based on numerical simulation includes the following steps:

[0058] Step 1: Determine the structure of the marine integrated stove and create a parametric 3D structural model using the modeling software Space Claim. The structural design parameters in the 3D model include the width of the integrated air intake, the position of the side intake, and the position of the top intake (these three parameters are design parameters related to the 3D structural model of the marine integrated stove; the other two parameters, including the total exhaust volume and air curtain volume, are set in the fluid dynamics software Fluent). A parametric modeling method is used, such as... Figure 1 As shown, the integrated stove has external dimensions (L×W×H) of 2600×1200×2000mm and two burners with a diameter of 800mm. Two 20mm wide air intakes are located on the side and top of the integrated stove, while the exhaust outlet is located at the top and measures 296×186mm.

[0059] The structure of the marine galley was determined, and a three-dimensional structural model of the marine galley was established. The dimensions of the galley model (L×W×H) are 5000×4000×2100mm. To verify the scenario of a closed galley, the space has no windows or doors on the four walls. Referring to the fresh air arrangement principles in "Design of Ventilation System for Marine Galleys", a long strip-shaped fresh air supply vent is set at the top of the galley. The fresh air volume is determined according to the exhaust volume of the integrated stove, and the size of the fresh air supply vent is 800×200mm.

[0060] A fluid domain model for a marine integrated kitchen stove was established. Fluid extraction operations were performed at the stove's burner (i.e., the fluid inlet) and exhaust outlet (i.e., the fluid outlet) in the 3D model of the marine integrated stove to form the internal fluid domain. Fluid extraction operations were also performed at the fresh air inlet of the 3D model to form the external fluid domain. The internal and external fluid domain models of the integrated stove together constitute the structural fluid domain model of the marine integrated kitchen stove. Figure 2 As shown.

[0061] For the fluid domain model of the marine kitchen integrated stove, sampling points are set up to monitor pollutant concentrations. To better reflect and compare the pollutant distribution in the cabins of different simulation models under different schemes, appropriate sampling locations are selected from three dimensions—points, lines, and surfaces—to display the pollutant concentrations at various locations within the cabin. Specific sampling point selection is as follows: Figure 3 As shown, point A is located in the left breathing zone of the integrated stove, point B is located in the right breathing zone of the integrated stove, point C is located at the top right side of the integrated stove, point D is located at the top left side of the integrated stove, point E is located at the top left side of the kitchen compartment, and point F is located at the top right side of the kitchen compartment. Line A is located in the left standing area of ​​the integrated stove, line B is located in the right standing area of ​​the integrated stove, line C is located in the top left area of ​​the kitchen compartment, line D is located in the top right area of ​​the kitchen compartment, and line E is located in the cooking breathing zone of the integrated stove. Surface A is located at the cross-section of the left burner of the integrated stove, surface B is located at the cross-section of the right burner of the integrated stove, and surface C is located at the top cross-section of the kitchen compartment.

[0062] Step 2: For the design parameters of the 3D model of the marine integrated stove, an orthogonal experimental design method was used, with five factors as variables: total exhaust volume, air inlet width, side air inlet position, top air inlet position, and air curtain volume. The total exhaust volume of the integrated stove was set at 2500m³. 3 / h, 3000m 3 / h, 3500m 3 / h, 4000m 3 / h; air intake width variables are 15mm, 20mm, 25mm, 30mm; side suction position (vertical height from the stove) variables are 250mm, 350mm, 450mm, 550mm; top suction position (horizontal distance from the center of the stove) variables are -100mm, 0mm, 100mm, 200mm; air curtain airflow variable is 500m³ / h. 3 / h, 700m 3 / h、900m 3 / h、1100m 3 / h. Based on the above factors and variables, and following the standard procedure, the factors and variables should be arranged and combined in four ways. 5 There are 1024 possible permutations and combinations, which is impossible to achieve in the project. To save computational resources, orthogonal experimental design was adopted for scheme design, and the control variable method was used to analyze the impact of a single variable on the gas collection hood (i.e., integrated stove) collection effect. Orthogonal experimental design can reduce the number of experiments while ensuring comprehensiveness, which can greatly save computational resources and accelerate the project schedule. The gas collection hood has 5 variables, each with 4 levels, establishing L... 16 (4 5 A type of orthogonal experimental design was proposed. The orthogonal experimental tables are shown in Table 1. Based on the parameters in Table 1, fluid domain models for marine integrated kitchen stoves were established.

[0063] Table 1 Orthogonal Experiment Table

[0064]

[0065]

[0066] Step 3: Mesh the fluid domain model of the marine integrated kitchen stove.

[0067] Meshing was performed using Fluent meshing software, selecting polyhedrons and hexahedrons (Ploy-Hexcore) for meshing. Five hexahedral mesh boundary layers were created at the fluid domain wall. The boundary layers can be generated directly in Fluent meshing software.

[0068] Mesh quality is evaluated using criteria including element quality and skewness. Mesh independence is verified by establishing models with varying mesh sizes for calculations. After convergence, the difference in pressure drop values ​​between consecutive calculations is compared. Figure 4 As shown, by Figure 4 It can be seen that when the number of grid cells is between 1 million and 4 million, the flow rate increases significantly with the increase in the number of grid cells. When the number of grid cells is between 4 million and 6 million, the flow rate remains almost unchanged with the increase in the number of grid cells. To improve computational efficiency while ensuring the accuracy of the results, a grid number of approximately 4.7068 million was selected for the computational model. Figure 5 As shown.

[0069] Step 4: Name the fluid domain model of the marine kitchen integrated stove. Name the boundaries of the integrated stove fluid domain, including the stove burner, fresh air inlet, air curtain inlet, smoke exhaust outlet, walls, and bottom.

[0070] Step 5: Set the calculation parameters for the fluid domain model of the marine integrated kitchen stove in the fluid software Fluent. Select the Realizable k-ε turbulence model for the fluid domain model of the marine integrated kitchen stove, define the fluid domain material as air, the reference pressure as one atmosphere, and the gravitational acceleration as 9.8 m / s². 2 The fluid domain model of the marine kitchen integrated stove was used to set wall boundary conditions and inlet / outlet physical parameters. Steam was used to simulate oil fume pollutants, with the source at 2 / 3 of the stove's height, emitting outwards. The initial steam rise rate was 0.2 m / s, and the total steam volume was 576 m³ / s. 3 / h. The fresh air inlet is set as a velocity inlet boundary, with an inlet velocity of 4.208 m / s. The air curtain inlet is set as a velocity inlet boundary, with an inlet velocity of 9.324 m / s. The smoke exhaust outlet is set as a pressure outlet boundary, with a reference pressure of standard atmospheric pressure. The cabin walls, floor, etc., are all set as non-slip wall boundary conditions.

[0071] Step 6: Set the residual curve in the fluid dynamics software Fluent, and establish a monitoring curve based on the total inlet and outlet mass flow rate of the marine integrated kitchen stove fluid domain model. Set the total number of calculation steps and perform iterative solutions to obtain the calculation results;

[0072] Step 7: In the fluid software Fluent, determine whether the calculation process has converged based on the residual curve, calculation results, and inlet / outlet mass flow rates (monitoring curves set in Step 6). If converged, post-process the calculation results to obtain the pollutant volume fraction results at the sampling points. If not converged, adjust the mesh and boundary conditions and recalculate until the calculation process converges.

[0073] Step 8: Save the calculation results and calculate the pollutant collection efficiency in the galley compartment. Since the steam source is two fixed burners, and the steam outlet of the entire simulation compartment is a fixed integrated stove exhaust port, the steam concentration at the outlet can be calculated proportionally to the steam source to obtain the steam collection efficiency:

[0074]

[0075] Step 9: Based on the calculation parameters for each different test number in the orthogonal experimental table, modify the fluid domain model of the marine integrated kitchen stove, repeat steps 4-9, and obtain multiple simulation results. The collection efficiencies for tests 1-16 are 95.28%, 96.27%, 94.58%, 90.84%, 98.19%, 96.29%, 97.73%, 96.92%, 96.28%, 96.18%, 96.35%, 96.30%, 95.36%, 96.23%, 96.33%, and 96.23%, respectively.

[0076] Step 10: Perform range analysis on the above 16 data points to determine the magnitude of each parameter's impact on the collection efficiency of the marine integrated stove. The order of influence on pollutant collection efficiency is: total exhaust volume > side suction position > top suction position > air curtain volume > air inlet width. This indicates that the order of influence on the collection efficiency of the fume hood, from largest to smallest, is: total exhaust volume, side suction position, top suction position, air curtain volume, and air inlet width. The influence of each factor is as follows: Figures 6-10 As shown. Among them, Figures 6-10 The vertical axis represents pollutant collection efficiency. Figure 6 The horizontal axis represents the total exhaust volume. Figure 7 The horizontal axis represents the width of the air intake. Figure 8 The horizontal axis represents the side suction position. Figure 9 The horizontal axis represents the position of the suction head. Figure 10 The horizontal axis represents the air curtain airflow. From Figure 6 It can be known that 3000m 3 / h is the most suitable total exhaust volume; by Figure 7 It is known that when the width of the integrated stove's air intake is between 15 and 25 mm, the pollutant collection efficiency remains basically the same. However, when the air intake width increases to 30 mm, the pollutant collection efficiency decreases sharply. Therefore, considering both collection efficiency and noise impact, the optimal air intake width for the integrated stove in this project is designed to be 25 mm. Figure 8 It can be seen that the optimal side suction position is 350mm; Figure 9 It can be seen that the optimal position of the top suction cup is 0mm; from Figure 10 It can be seen that the optimal airflow for the air curtain is 700m³ / h. 3 / h.

[0077] Step 11: Compare the simulation results and obtain the optimal structural parameter combination for the marine integrated stove as a total exhaust volume of 3000m³. 3 / h, air intake width 25mm, side intake position 350mm; top intake position 0mm; air curtain air volume 700m³ / h 3 / h. Using the above 5 structural parameters for marine integrated stoves, repeating steps 5-8, the pollutant collection efficiency under these structural parameters can be calculated to be 99.64%, thus completing the structural optimization.

[0078] The above-described embodiments are merely one implementation of the present invention, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of the invention. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of the present invention, and these all fall within the protection scope of the present invention. Therefore, the protection scope of this invention should be determined by the appended claims.

Claims

1. A multi-parameter optimization method for marine integrated stove structure based on numerical simulation, characterized in that, Specifically, the following steps are included: Step 1: Determine the structure of the marine integrated stove and use the modeling software Space Claim to create a parametric 3D structural model of the marine integrated stove; For the structural design parameters in the 3D model of the marine integrated stove, including the width of the integrated air intake, the position of the side air intake, and the position of the top air intake, use the parametric modeling method. The structure of the marine kitchen was determined, and a three-dimensional structural model of the marine kitchen was established. To verify the scenario of a closed kitchen, the space had no windows or doors on the four walls, and a long strip of fresh air supply vent was set on the top of the kitchen. The fresh air volume was determined according to the exhaust volume of the integrated stove. A fluid domain model for a marine integrated kitchen stove is established. Fluid extraction operations are performed at the stove inlet (fluid inlet) and exhaust outlet (fluid outlet) of the three-dimensional model of the marine integrated stove to form the internal fluid domain of the integrated stove. Fluid extraction operations are also performed at the fresh air inlet of the three-dimensional model of the marine kitchen stove to form the external fluid domain of the integrated stove. The internal and external fluid domain models of the integrated stove together constitute the structural fluid domain model of the marine integrated kitchen stove. For the structural fluid domain model of the marine kitchen integrated stove, sampling points are set up to monitor the concentration of pollutants. In order to better reflect and compare the distribution of pollutants in the cabins of various simulation models in different schemes, appropriate sampling locations are selected from three dimensions: points, lines, and surfaces to show the concentration of pollutants in various places in the cabin. Step 2: For the design parameters of the three-dimensional model of the marine integrated stove, the orthogonal experimental design method is used to design the scheme. Five factors are used as variables: total exhaust volume of the integrated stove, width of the air inlet, position of the side air inlet, position of the top air inlet, and air curtain volume. According to the above factors and variables, the factors and variables are arranged and combined according to the conventional scheme. Considering the need to save computing resources, the orthogonal experimental design is used for the scheme design. At the same time, the control variable method is used to analyze the impact of a single variable on the collection effect of the integrated stove. An orthogonal experimental table is established, and the fluid domain model of the marine kitchen integrated stove is established according to the parameters in the table. Step 3: Mesh the fluid domain model of the marine integrated kitchen stove; Meshing was performed using Fluent meshing software, selecting polyhedral and hexahedral Ploy-Hexcore meshing. Five hexahedral mesh boundary layers were created at the fluid domain wall. The boundary layers can be generated directly in Fluent meshing software. Mesh quality is evaluated using criteria including element quality and skewness. Mesh independence is verified by establishing models with various mesh counts for calculation. After the calculation converges, the difference between the pressure drop values ​​before and after the calculation is completed is compared to improve computational efficiency and ensure the accuracy of the results in order to select the appropriate mesh count for the computational model. Step 4: Name the fluid domain model of the marine kitchen integrated stove, and name the boundaries of the integrated stove fluid domain, including the stove burner, fresh air inlet, air curtain inlet, smoke exhaust outlet, walls, and bottom surface; Step 5: Set the calculation parameters for the fluid domain model of the marine integrated kitchen stove in the fluid software Fluent; select the Realizable k-ε turbulence model for the fluid domain model of the marine integrated kitchen stove, define the fluid domain material as air, and the reference pressure as one atmosphere; set the wall boundary conditions and inlet / outlet physical parameters for the fluid domain model of the marine integrated kitchen stove; use steam to simulate oil fume pollutants, with the source of emission at 2 / 3 of the height inside the stove; set the fresh air inlet as a velocity inlet boundary; set the air curtain inlet as a velocity inlet boundary; set the exhaust outlet as a pressure outlet boundary, with the reference pressure as standard atmosphere; set the cabin walls and floor as non-slip wall boundary conditions; Step 6: Set the residual curve in the fluid software Fluent, and establish a monitoring curve based on the total inlet and outlet mass flow rate of the fluid domain model of the marine kitchen integrated stove; set the total number of calculation steps, and perform iterative solution to obtain the calculation results; Step 7: In the fluid software Fluent, determine whether the calculation process has converged based on the residual curve, calculation results, and inlet and outlet mass flow rates. If converged, post-process the calculation results to obtain the pollutant volume fraction results at the sampling points. If convergence is not achieved, adjust the mesh and boundary conditions and recalculate until the calculation process converges. Step 8: Save the calculation results and calculate the pollutant collection efficiency in the galley compartment. Since the steam source is two fixed burners, and the steam outlet of the entire simulation compartment is a fixed integrated stove exhaust port, the steam concentration at the outlet can be calculated proportionally to the steam source to obtain the steam collection efficiency. Collection efficiency = Step 9: Based on the calculation parameters of each different test number in the orthogonal experimental table, modify the fluid domain model of the marine integrated kitchen stove, repeat steps 3-8, and obtain multiple simulation results; Step 10: Perform range analysis on the above simulation results to determine the magnitude of the influence of each parameter on the collection efficiency of the marine integrated stove, and determine the order of influence on the pollutant collection efficiency. Step 11: Compare the simulation results to obtain the optimal combination of structural parameters for the marine integrated stove; using the above structural parameters for the marine integrated stove, repeat steps 5-8 to calculate the pollutant collection efficiency under these structural parameters, thus completing the structural optimization.

2. The multi-parameter optimization method for marine integrated stove structure based on numerical simulation according to claim 1, characterized in that, In step 1, a parametric modeling method is used. The dimensions of the integrated stove are L×W×H, which are 2600×1200×2000mm. It has two burners with a diameter of 800mm. Two air intakes with a width of 20mm are set on the side and top of the integrated stove. The exhaust outlet of the integrated stove is located at the top and has a size of 296×186mm. The structure of the marine kitchen was determined, and a three-dimensional structural model of the marine kitchen was established. The kitchen model dimensions were L×W×H, which were 5000×4000×2100mm. To verify the scenario of a closed kitchen, the space had no windows or doors on the four walls. A long strip of fresh air supply vent was set on the top of the kitchen. The fresh air volume was determined according to the exhaust volume of the integrated stove. The fresh air supply vent dimensions were 800×200mm.

3. The multi-parameter optimization method for marine integrated stove structure based on numerical simulation according to claim 1, characterized in that, In step 1, appropriate sampling locations are selected to display the pollutant concentration in various parts of the cabin. Point A is located in the left breathing area of ​​the integrated stove, point B is located in the right breathing area of ​​the integrated stove, point C is located at the top right side of the integrated stove, point D is located at the top left side of the integrated stove, point E is located at the top left side of the galley cabin, and point F is located at the top right side of the galley cabin. Line A is located in the left standing area of ​​the integrated stove, line B is located in the right standing area of ​​the integrated stove, line C is located in the top left area of ​​the galley cabin, line D is located in the top right area of ​​the galley cabin, line E is located in the cooking breathing area of ​​the integrated stove, surface A is located at the cross-section of the left burner of the integrated stove, surface B is located at the cross-section of the right burner of the integrated stove, and surface C is located at the top cross-section of the galley cabin.

4. The multi-parameter optimization method for marine integrated stove structure based on numerical simulation according to claim 1, characterized in that, In step 2, the total exhaust volume of the integrated stove is 2500m³. 3 / h, 3000m 3 / h, 3500m 3 / h, 4000m 3 / h; air intake width variables are 15mm, 20mm, 25mm, 30mm; side suction position variables are 250mm, 350mm, 450mm, 550mm; top suction position variables are -100mm, 0mm, 100mm, 200mm; air curtain air volume variable is 500m³ / h. 3 / h, 700m 3 / h、900m 3 / h、1100m 3 / h; Based on the above factors and variables, the factors and variables should be arranged and combined according to the conventional method, which requires 4 steps. 5 There are a total of 1024 possible permutations and combinations. To save computational resources, orthogonal experimental design was used for scheme design, and the control variable method was employed to analyze the impact of a single variable on the integrated stove's collection effect. Orthogonal experimental design can reduce the number of experiments while ensuring comprehensiveness, significantly saving computational resources and accelerating project progress. The gas collection hood has 5 variables, each with 4 levels, establishing L... 16 (4 5 () type orthogonal experimental scheme.

5. The multi-parameter optimization method for marine integrated stove structure based on numerical simulation according to claim 1, characterized in that, In step 10, the order of influence on pollutant collection efficiency is: total air volume > side suction position > top suction position > air curtain air volume > air inlet width. This indicates that the degree of influence on the collection efficiency of the gas collection hood from largest to smallest is: total air volume, side suction position, top suction position, air curtain air volume, and air inlet width.

6. The multi-parameter optimization method for marine integrated stove structure based on numerical simulation according to claim 1, characterized in that, In step 11, by comparing the simulation results, the optimal combination of structural parameters for the marine integrated stove is determined to be a total exhaust volume of 3000m³. 3 / h, air intake width 25mm, side intake position 350mm; top intake position 0mm; air curtain air volume 700m³ / h 3 / h; Using the above 5 marine integrated stove structural parameters, repeat steps 5-8 to calculate that the pollutant collection efficiency under these structural parameters is 99.64%, thus completing the structural optimization.

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