Automatic optimization method, device and equipment for gas mixing nozzle of composite cutting device and medium

Abstract

The invention relates to an automatic optimization method and device for a gas mixing nozzle of a composite cutting device, equipment and a medium. According to the method, a flow field model is formed through fluid analysis of a cutting head gas path model, and a gas mixing ratio result is determined in combination with a mode of analog input and calculation output, so that parameters such as the size and the relative position of a gas mixing nozzle are automatically adjusted by taking the minimum difference of the gas mixing ratio under the difference of two input gas pressures as a target; and an updated cutting head gas path model is formed, so that optimization is executed to obtain an optimized gas mixing nozzle design.

Description

Technical Field

[0001] The present application relates to the field of laser cutting technology, and in particular to an automatic optimization method, device, equipment and medium for a gas mixing nozzle of a composite cutting device. Background Art

[0002] Compared to traditional sheet metal cutting methods, laser cutting offers advantages such as faster cutting speeds, higher production efficiency, and superior cross-sectional quality. Laser-flame hybrid cutting, also known as reactive cutting, utilizes a coaxial high-pressure gas line with oxygen to support combustion. It then utilizes an auxiliary fuel gas source to generate additional energy. This flame combustion jet preheats the base sheet metal to its ignition point and melts it before the beam reaches the cutting point. Laser-flame hybrid cutting is typically used for high-speed cutting of thick alloy steel plates, such as thick carbon steel. The additional heat generated by the combustion reaction makes the cutting process more efficient and improves cross-sectional quality.

[0003] The flame gas source is typically a mixture of fuel and oxygen, and the fuel can be natural gas, acetylene, propane, or the like. To distinguish them, the high-pressure oxygen gas path in the center of the cutting nozzle is called cutting oxygen, the oxygen gas path in the auxiliary fuel source is called auxiliary oxygen, and the oxygen in the flame gas source refers to auxiliary oxygen. In the cutting head gas path design, to ensure stable cutting in different directions, the auxiliary fuel gas needs to be introduced via a coaxial gas path to form a surrounding, stable flame jet around the central high-pressure cutting gas. This requires that the fuel gas and auxiliary oxygen be fully mixed inside the cutting head and achieve a suitable ratio so that they can fully burn outside the cutting nozzle, releasing heat to assist in cutting. Therefore, a gas mixing nozzle is required upstream of the gas path to introduce and mix the auxiliary oxygen and fuel, outputting a mixed gas with a certain ratio.

[0004] The mixing nozzle has a similar three-way structure on the flow path, with two inlets and one outlet. The relative position of the inlets and the nozzle's dimensions affect the mixture ratio. To adapt to different cutting parameters such as material and thickness, the fuel gas pressure may need to be dynamically adjusted during the cutting process. However, due to limited adjustment accuracy, if the nozzle structure is not properly set, it is easy for a slight adjustment to cause a significant change in the mixture ratio. In severe cases, this may lead to flame extinction, backflow contamination, etc. The degree to which the mixture ratio changes with the input pressure is called the nozzle's adjustment sensitivity.

[0005] The structural dimensions of the mixing nozzle and the relative position of the mixing inlet are variables that affect the adjustment sensitivity. In other words, the adjustment sensitivity obviously needs to be calibrated by comparing multiple sets of operating condition data. The manual design and calibration method requires continuous adjustment of the design parameters, which is entirely based on manual experience. This results in low efficiency and poor accuracy when optimizing the mixture.

[0006] Therefore, how to automatically optimize the design of mixing nozzle parameters to improve optimization efficiency and accuracy has become an urgent problem to be solved. Summary of the Invention

[0007] In view of this, the embodiments of the present application provide a method, device, equipment and medium for automatically optimizing the mixing nozzle of a composite cutting device to solve the problem of how to automatically optimize the design of the mixing nozzle parameters to improve the optimization efficiency and accuracy.

[0008] In a first aspect, an embodiment of the present application provides a method for automatically optimizing a gas mixing nozzle of a composite cutting device, comprising: Obtaining an initial cutting head gas path model to be optimized, extracting an initial gas mixing nozzle size of the gas mixing nozzle in the initial cutting head gas path model, initial relative positions of two gas mixing input ports on the gas mixing nozzle, and an initial internal fluid domain within the cutting head in the initial cutting head gas path model; An initial external fluid domain of a preset range is created in the jet direction of the cutting nozzle of the initial cutting head gas path model, the surface of the initial external fluid domain is used as the external environment surface, and the positions of the two gas mixing input ports on the gas mixing nozzle are determined as pressure inlets and the center position of the outlet of the cutting nozzle is determined as the pressure outlet in the initial internal fluid domain to obtain a flow field model; The flow field model is discretely divided into a grid to obtain a fluid grid. After two sets of input air pressures are set at the pressure inlet, the mixing ratio of each set of input air pressures at the pressure outlet is determined according to the fluid grid, where each set of input air pressures includes the gas pressures of the two mixed air input ports. With the goal of minimizing the difference between the gas mixing ratios corresponding to the two sets of input gas pressures, the size of the initial gas mixing nozzle and the relative position of the initial inlet are adjusted to obtain an updated cutting head gas path model; The updated cutting head gas path model is used as the initial cutting head gas path model to be optimized, and the step of obtaining the initial cutting head gas path model to be optimized is returned to execute until the iteration condition is met, thereby obtaining the optimized gas mixing nozzle size of the gas mixing nozzle and the optimized relative positions of the two gas mixing input ports on the gas mixing nozzle.

[0009] In a second aspect, an embodiment of the present application provides an automatic optimization device for a gas mixing nozzle of a composite cutting device, comprising: a gas path model analysis module, configured to obtain an initial cutting head gas path model to be optimized, extract the initial gas mixing nozzle dimensions of the gas mixing nozzle in the initial cutting head gas path model, the initial relative positions of the two gas mixing input ports on the gas mixing nozzle, and the initial internal fluid domain within the cutting head in the initial cutting head gas path model; a flow field model determination module, configured to create an initial external fluid domain of a preset range in the jet direction of the cutting nozzle of the initial cutting head gas path model, use the surface of the initial external fluid domain as the external environment surface, and determine, in the initial internal fluid domain, the positions of the two gas mixing input ports on the gas mixing nozzle as pressure inlets and the center position of the outlet of the cutting nozzle as the pressure outlet, thereby obtaining a flow field model; a gas mixture ratio calculation module, configured to perform grid discretization on the flow field model to obtain a fluid grid, and after two sets of input gas pressures are set at the pressure inlet, determine the gas mixture ratio of each set of input gas pressures at the pressure outlet according to the fluid grid, wherein each set of input gas pressures includes the gas pressures of the two gas mixture input ports; a gas path model updating module, configured to adjust the size of the initial gas mixing nozzle and the relative position of the initial inlet with the goal of minimizing the difference between the gas mixing ratios corresponding to the two sets of input gas pressures, thereby obtaining an updated cutting head gas path model; A cyclic optimization module is used to use the updated cutting head gas path model as the initial cutting head gas path model to be optimized, return to execute the acquisition of the initial cutting head gas path model to be optimized, and obtain the optimized gas mixing nozzle size of the gas mixing nozzle and the optimized relative positions of the two gas mixing input ports on the gas mixing nozzle after the iteration conditions are met.

[0010] In a third aspect, an embodiment of the present application provides a computer device, comprising a processor, a memory, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the method for automatically optimizing the gas mixing nozzle of the composite cutting device as described in the first aspect is implemented.

[0011] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the automatic optimization method for the gas mixing nozzle of the composite cutting device as described in the first aspect.

[0012] Compared with the prior art, the embodiments of the present application have the following beneficial effects: The present application obtains an initial cutting head gas path model to be optimized, extracts the initial gas mixing nozzle size of the gas mixing nozzle in the initial cutting head gas path model, the initial inlet relative position of the two gas mixing input ports on the gas mixing nozzle, and the initial internal fluid domain inside the cutting head in the initial cutting head gas path model, creates an initial external fluid domain of a preset range in the injection direction of the cutting nozzle of the initial cutting head gas path model, takes the surface of the initial external fluid domain as the external environment surface, and determines the positions of the two gas mixing input ports on the gas mixing nozzle as the pressure inlet and the outlet center position of the cutting nozzle as the pressure outlet in the initial internal fluid domain, obtains a flow field model, performs grid discrete division on the flow field model, and obtains a fluid Grid, after two groups of input air pressures are set at the pressure inlet, the mixing ratio of each group of input air pressures at the pressure outlet is determined according to the fluid grid, each group of input air pressures includes the gas pressures of the two mixing air input ports, and the difference between the mixing ratios corresponding to the two groups of input air pressures is minimized as the goal, the initial mixing nozzle size and the relative position of the initial inlet are adjusted to obtain an updated cutting head gas path model, the updated cutting head gas path model is used as the initial cutting head gas path model to be optimized, and the method of obtaining the initial cutting head gas path model to be optimized is returned to execute until the iteration condition is met, and the optimized mixing nozzle size of the mixing nozzle and the optimized relative position of the two mixing input ports on the mixing nozzle are obtained.

[0013] By analyzing the fluid flow of the cutting head gas path model and combining it with the simulation input calculation output method to determine the gas mixture ratio, the cutting head gas path model is automatically adjusted based on the difference in gas mixture ratio under the difference in two input gas pressures, and the optimized gas mixing nozzle design is obtained through optimization. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following briefly introduces the drawings required for use in the embodiments or descriptions of the prior art. 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 any creative work.

[0015] Figure 1 This is a schematic diagram of an application environment of an automatic optimization method for a gas mixing nozzle of a composite cutting device provided in Example 1 of the present application; Figure 2 This is a flow chart of an automatic optimization method for a gas mixing nozzle of a composite cutting device provided in Example 2 of the present application; Figure 3 This is a structural example diagram of a laser-flame composite cutting device provided in Example 2 of the present application; Figure 4This is a schematic diagram of parameters of various dimensions of the fluid domain of a gas mixing nozzle provided in Example 2 of the present application; Figure 5 This is a regional schematic diagram of an overall fluid domain provided in Example 2 of the present application; Figure 6 This is a flow chart of a method for performing automated optimization in combination with functional software, as provided in Example 2 of the present application; Figure 7 This is a flow chart of an integrated model based on an automated optimization method provided in Example 2 of the present application; Figure 8 This is a three-dimensional dot matrix diagram of the distance between the mixing inlet and the central axis, the dimensions of the mixing block, and the feasibility of the design scheme at different iteration steps after the structure optimization of the mixing nozzle provided in Example 2 of the present application; Figure 9 This is a flow chart of an automatic optimization method for a gas mixing nozzle of a composite cutting device provided in Example 3 of the present application; Figure 10 This is a flow chart of an automatic optimization method for a gas mixing nozzle of a composite cutting device provided in Example 4 of the present application; Figure 11 This is a schematic structural diagram of an automatic optimization device for a gas mixing nozzle of a composite cutting device provided in Example 5 of the present application; Figure 12 This is a structural diagram of a computer device provided in Example 6 of the present application. DETAILED DESCRIPTION

[0016] In the following description, specific details such as specific system structures and techniques are provided for purposes of illustration rather than limitation to facilitate a thorough understanding of the embodiments of the present application. However, it will be apparent to those skilled in the art that the present application may be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to avoid obscuring the description of the present application with unnecessary detail.

[0017] It should be understood that when used in the present specification and the appended claims, the term "comprising" indicates the presence of described features, integers, steps, operations, elements and / or components, but does not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or collections thereof.

[0018] It will also be understood that the term "and / or" used in this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.

[0019] As used in this specification and the appended claims, the term "if" can be interpreted as "when" or "upon" or "in response to determining" or "in response to detecting," depending on the context. Similarly, the phrase "if it is determined" or "if [described condition or event] is detected" can be interpreted as meaning "upon determination" or "in response to determining" or "upon detection of [described condition or event]" or "in response to detecting [described condition or event]," depending on the context.

[0020] In addition, in the description of the present application specification and the appended claims, the terms "first", "second", "third", etc. are only used to distinguish the descriptions and cannot be understood as indicating or implying relative importance.

[0021] References to "one embodiment" or "some embodiments" in this specification mean that a particular feature, structure, or characteristic described in conjunction with that embodiment is included in one or more embodiments of the present application. Thus, phrases such as "in one embodiment," "in some embodiments," "in other embodiments," and "in other embodiments" appearing in various places in this specification do not necessarily refer to the same embodiment, but rather mean "one or more but not all embodiments," unless otherwise specifically emphasized. The terms "including," "comprising," "having," and variations thereof all mean "including but not limited to," unless otherwise specifically emphasized.

[0022] It should be understood that the size of the serial numbers of the steps in the following embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.

[0023] In order to illustrate the technical solution of the present application, specific embodiments are provided below.

[0024] The automatic optimization method of the gas mixing nozzle of a composite cutting device provided in the first embodiment of the present application can be applied to Figure 1 In an application environment, a client communicates with a server, the optimization control method is executed on the server, and the client initiates optimization control of the gas mixing nozzle of the cutting device by sending a corresponding start instruction to the server. The client can provide the server with original design structure data and original parameters. The server can be equipped with corresponding functional modules, and the inputs and outputs of these functional modules can be designed so that the server can automatically process the raw data and output the optimization results.

[0025] Clients include, but are not limited to, PDAs, desktop computers, laptops, ultra-mobile personal computers (UMPCs), netbooks, cloud-based terminal devices, personal digital assistants (PDAs), and other computer devices. Servers can be standalone servers or cloud servers that provide basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, content delivery networks (CDNs), and big data and artificial intelligence platforms.

[0026] See also Figure 2 , is a flow chart of an automatic optimization method for a gas mixing nozzle of a composite cutting device provided in the second embodiment of the present application. The automatic optimization method for a gas mixing nozzle of a composite cutting device can be applied to Figure 1 The server in .

[0027] like Figure 2 As shown, the automatic optimization method of the gas mixing nozzle of the composite cutting device may include the following steps: Step S201, obtaining an initial cutting head gas path model to be optimized, extracting the initial gas mixing nozzle size of the gas mixing nozzle in the initial cutting head gas path model, the initial inlet relative positions of the two gas mixing input ports on the gas mixing nozzle, and the initial internal fluid domain inside the cutting head in the initial cutting head gas path model.

[0028] In this embodiment, the initial cutting head gas path model to be optimized is used to characterize the model expression of the gas path formed by the cutting head and the gas mixing nozzle in a composite cutting device. Specifically, a design drawing of the composite cutting device is constructed using modeling software, and the components formed between the cutting head and the gas mixing nozzle are selected from the design drawing to constitute the initial cutting head gas path model.

[0029] The initial size of the gas mixing nozzle and the initial relative positions of the two gas mixing input ports on the gas mixing nozzle can be customized by the user at the initial moment, that is, they can be customized when making the composite cutting device, and then the corresponding size and relative position can be extracted from the initial cutting head gas path model.

[0030] The initial internal fluid domain represents the range of gas flow inside the cutting head. Since there is a gas tube inside the cutting head that wraps the gas, it is defined as the internal fluid domain, which represents the gas flow area from the gas mixing nozzle to the cutting head.

[0031] Optionally, before obtaining the initial cutting head gas path model to be optimized, the method further includes: Obtain the original cutting head mechanical design file; The positions where the gas path is blocked in the cutting head mechanical design file are removed, and the gas path and the surrounding structural parts constituting the gas path are retained to obtain an initial cutting head model; compressing and hiding the preset features in the cutting head model to obtain a compressed cutting head model; The special structure of the compressed cutting head model is removed to obtain the initial cutting head gas path model to be optimized.

[0032] Among them, the above-mentioned initial cutting head gas path model can be directly provided by the user, so as to execute the method of this embodiment to achieve the optimization of the gas mixing nozzle. Of course, the user can also provide the original cutting head mechanical design file, that is, the original design file of the composite cutting device.

[0033] At this point, blocked gas paths, unnecessary structural features, and special structures can be removed or compressed and hidden using preset rules. This operation is collectively referred to as geometric simplification of the initial design, resulting in a simple structure, which is the initial cutting head gas path model. The preset rules are user-defined and can be manually executed in the corresponding functional software. The user then records these manual operations in a log, allowing the functional software to automatically perform geometric simplification based on this log.

[0034] For example, in the initial design draft, delete all locations where the gas path does not pass through, and only retain the gas path channels and the surrounding structural parts that make up the gas path channels; hide or compress features that are not related to the analysis according to the design tree, and the above features include but are not limited to: mounting holes, nuts, connecting plates, gaskets, sealing rings and other connecting parts or other small-scale structures that are not closely related to the gas path analysis; in the initial design draft, delete or improve local structures such as chamfers, fillets, slits, wedges, small faces, etc. that are basically irrelevant to the main results of the CFD simulation but easily lead to poor mesh division quality.

[0035] The simplification process can be performed using the corresponding functional modules of modeling software such as SolidWorks. For example, the .step format file corresponding to the original cutting head mechanical design file is geometrically simplified, and the simplified file, i.e., the initial cutting head gas path model to be optimized, is saved as a .step format file. The functional modules can be extracted as part of the automated operation function of this application.

[0036] like Figure 3The figure shows a structural example diagram of a laser-flame composite cutting device provided in the second embodiment of the present application. The laser-flame composite cutting device can be used as the original mechanical design file of the cutting head. The upper part of the vertical air pipe in the figure is the gas mixing nozzle, which includes two gas inlets. According to different needs, the input gas can be set by the user, for example, propane and oxygen. The lower part of the vertical air pipe in the figure is the cutting nozzle, which includes the gas path for gas mixing until the outlet of the cutting nozzle below. Figure 3 The laser-flame composite cutting device in the embodiment is simplified and the fluid domain is formed to obtain Figure 5 The overall fluid domain is shown. It can be seen that the simplification process deletes unnecessary components and parts with blocked gas paths.

[0037] Optionally, extracting an initial gas mixing nozzle size of the gas mixing nozzle in the initial cutting head gas path model, initial relative positions of two gas mixing input ports on the gas mixing nozzle, and an initial internal fluid domain inside the cutting head in the initial cutting head gas path model includes: Using a volume extraction method, closing all gas path channels inside the cutting head of the initial cutting head gas path model to generate an initial internal fluid domain; Extracting the gas mixing nozzle half length, gas mixing nozzle half width and gas mixing nozzle height of the gas mixing nozzle in the initial cutting head gas path model as initial gas mixing nozzle dimensions; The first offset distance between the first air inlet of the mixing nozzle and the central axis of the mounting surface of the mixing nozzle, and the second offset distance between the second air inlet and the central axis in the initial cutting head gas path model are extracted as the initial relative positions of the two mixing input ports on the mixing nozzle.

[0038] Among them, the air path between the mixing nozzle and the cutting head is an internal air path channel, and this part of the area can be obtained by volume extraction to form an initial internal fluid domain. The size of the mixing nozzle and the relative position between the two air inlets can be defined as the half-length, half-width and height of the mixing nozzle, as well as the offset distance between the mixing nozzle and the central axis.

[0039] This process can use software such as SpaceClaim to perform extraction operations such as fluid domain, size, and position. For example, during manual operation, the .step format file corresponding to the initial cutting head gas path model can be imported into SpaceClaim, and the Script option under the Design tab in the menu bar can be opened to perform the above extraction operations. The subsequent manual operation log is recorded in the Index format Python statement. During subsequent automatic execution, the extraction operations such as fluid domain, size, and position are automatically performed based on the operation log.

[0040] like Figure 4As shown, it is a schematic diagram of parameters of various sizes of the fluid domain of a mixing nozzle provided in the second embodiment of the present application. The interior of the mixing nozzle includes a mixing block ( Figure 4 medium rectangular block) and two input ports ( Figure 4 The figure shows two cylinders on the fast side of the middle rectangle), where L is the half-length of the mixing nozzle, W is the half-width of the mixing nozzle, and H is the height of the mixing nozzle. These three parameters can characterize the size of the mixing block, that is, the size of the mixing nozzle. In addition, d_o2 is the first offset distance, which characterizes the offset distance between the first air inlet of the mixing nozzle and the central axis of the mounting surface of the mixing nozzle. d_c3h8 is the second offset distance, which characterizes the offset distance between the second air inlet and the central axis. These two offset distances can characterize the relative positions of the initial inlets of the two mixing input ports on the mixing nozzle.

[0041] Step S202, creating an initial external fluid domain of a preset range in the injection direction of the cutting nozzle of the initial cutting head gas path model, taking the surface of the initial external fluid domain as the external environment surface, and determining in the initial internal fluid domain the positions of the two gas mixing input ports on the gas mixing nozzle as the pressure inlet and the center position of the outlet of the cutting nozzle as the pressure outlet, to obtain a flow field model.

[0042] In this embodiment, in the jet direction of the cutting nozzle, for example, Figure 3 The bottom shown is the cutting nozzle. Figure 5 The direction of the cutting nozzle is shown below the cutting nozzle. Figure 5 The bottom cylinder in the figure is the initial external fluid domain.

[0043] An initial external fluid domain with a preset range is created to characterize the area where the cutting nozzle sprays to the outside world and is used for subsequent flow calculations. The preset range is designed according to requirements, and an external fluid domain of appropriate size is used to obtain reliable environmental boundary conditions while ensuring that the calculation domain is not too large to affect the iteration time.

[0044] The creation of the initial external fluid domain can be performed using the same functional module as the internal fluid domain extraction, for example, SpaceClaim software.

[0045] Optionally, an initial external fluid domain of a preset range is created in the injection direction of the cutting nozzle of the initial cutting head gas path model, the surface of the initial external fluid domain is used as the external environment surface, and the positions of the two gas mixing input ports on the gas mixing nozzle are determined as pressure inlets and the center position of the outlet of the cutting nozzle is determined as the pressure outlet in the initial internal fluid domain to obtain a flow field model, including: Creating a cylinder of a preset size in the jet direction of the cutting nozzle of the initial cutting head gas path model to form an initial external fluid domain of a preset range; Merging the initial internal fluid region and the initial external fluid region, and hiding the entity structure outside the initial internal fluid region and the initial external fluid region, to obtain an overall fluid calculation domain; In the overall fluid calculation domain, the surface of the initial external fluid domain is used as the external environment surface, and in the initial internal fluid domain, the positions of the two gas mixing input ports on the gas mixing nozzle are determined as pressure inlets and the center position of the outlet of the cutting nozzle is determined as the pressure outlet to obtain a flow field model.

[0046] In SpaceClaim, the volume extraction function is used to close all gas channels within the cutting head, generating the internal fluid domain. The shape variables (i.e., size and position) of the gas mixing block in the gas path model, which require iterative design, are edited, with the editing process noted in the operation log. An appropriately sized closed environmental cylinder is created below the cutting nozzle to simulate the jet area below the nozzle, generating the lower jet fluid domain. In one embodiment, the diameter of the cylinder below the cutting nozzle is 30 mm and the length is 80 mm.

[0047] The two fluid domains were combined into a single fluid computational domain using Boolean operations, and all solid structures were subsequently suppressed and hidden. Within the injection computational domain, each surface was set as an external environment surface. Within the internal fluid domain of the cutting head, the fuel gas inlet and auxiliary oxygen inlet were named and set as pressure inlets. After these naming and settings were completed, the flow field module was obtained.

[0048] Save the flow field model in the .scdoc format in the same directory and complete all pre-processing log recording work. Then, save the generated Script log in the *.py format in the same directory. The computer directly retrieves and assigns data to the corresponding parameters in the above operation log file *.py through the secondary development function module to complete the loop work of the iterative process.

[0049] Step S203 , performing grid discretization on the flow field model to obtain a fluid grid. After two groups of input air pressures are set at the pressure inlet, the mixing ratio of each group of input air pressures at the pressure outlet is determined according to the fluid grid.

[0050] In this embodiment, the flow field model is subjected to grid discretization to form a fluid grid, and after the input gas pressure of the input gas is given at the pressure inlet, the mixed gas ratio at the pressure outlet can be calculated.

[0051] The performance metric used to evaluate the design of a gas mixer is regulation sensitivity. Changes in the gas mixture ratio can represent this sensitivity. Therefore, it is necessary to determine the gas mixture ratio output by the mixer under varying air pressure input conditions. Theoretically, when the air pressure, particularly the gas pressure input, changes by a fixed amount, the mixer's output gas mixture ratio changes minimally, indicating the lowest regulation sensitivity.

[0052] Each set of input pressures includes the pressures of the gases at both mixing inlets. The two sets of input pressures provide the corresponding mixing ratios. The difference in the mixing ratios between the two sets of input pressures represents the sensitivity of the adjustment.

[0053] For example, using propane as the fuel input and supplemental oxygen as the other input, the first set of input pressures is: 0.30 bar for propane and 0.30 bar for supplemental oxygen; the second set of input pressures is: 0.29 bar for propane and 0.30 bar for supplemental oxygen. The gas mixture ratios for these two sets can be calculated using the center of the cutting nozzle outlet as the pressure outlet, as described in step S203.

[0054] For example, launch the FluentMeshing software and enable the Start Journal function to record subsequent manual operation logs. Retrieve the corresponding .scdoc format flow field model file obtained in the above steps and perform local mesh encryption and boundary layer division on the corresponding locations. These locations primarily include the entire mixing block, the internal spiral straightening ring, the mixture injection position groove, the jet position, and a certain height downstream. These locations are either relatively small flow channels or the flow area of ​​primary concern. Divide the fluid mesh for calculation according to the process.

[0055] For example, for the divided fluid mesh, directly select the Switch to Solution option in the FluentMeshing software to enter the Fluent solution page. Define the solution basis and solution process in the solver, and at the same time define the turbulence model, material properties, boundary conditions, solution algorithm, number of iterations, etc., and perform iterative calculations after the settings are completed. After the iteration is completed, save the generated Journal log as a .jou format file in the same directory so that the processing work can be performed according to the log during automation. The above solver settings are specifically: pressure-based solver, steady-state solution process, SST k-omega two-equation turbulence model, material transport model, incompressible air properties, second-order upwind format calculation, etc.

[0056] In addition, when performing mesh generation, other mesh generation tools such as ICEM can also be used to operate on the fluid model. When using mesh generation tools other than FluentMeshing software, the corresponding logging module needs to be enabled to record the steps of the automated operation. After the fluid mesh generation is completed, it needs to be converted into the mesh format required for Fluent calculation, such as *.msh, etc., and saved in the same directory. Correspondingly, when using software other than FluentMeshing for mesh generation, when performing calculations, the Start Journal instruction of the FluentMeshing software needs to be enabled separately to record the operation process of each step of the solution settings.

[0057] Step S204: Adjust the initial mixing nozzle size and the initial relative position of the inlet with the goal of minimizing the difference in the mixing gas ratios corresponding to two sets of input air pressures, so as to obtain an updated cutting head gas path model.

[0058] In this embodiment, when the air pressure at the input port corresponding to the fuel changes and the air pressure at the input port corresponding to the auxiliary oxygen does not change, it is required that the mixing gas ratio at the pressure outlet, that is, at the cutting nozzle, changes less. Therefore, with the goal of minimizing the difference in the mixing gas ratios corresponding to two sets of input air pressures, the size, position, etc. of the mixing nozzle are adjusted.

[0059] The adjustment and optimization method includes, but is not limited to, genetic algorithms, etc., which can effectively reduce the number of iterations of the automated cycle and find a more accurate optimization result. In one embodiment, in view of the characteristics of the optimization project having multiple variables and multiple objectives, the NSGA-II multi-objective genetic algorithm is adopted.

[0060] Optionally, before adjusting the initial mixing nozzle size and the initial relative position of the inlet to obtain an updated cutting head gas path model, it further includes: Obtain preset constraints, where the preset constraints include 10 < L < 15, 4 < W < 9, 10 < H < 40, 3 < d1 < 8, 3 < d2 < 8, where L is the half-length of the mixing nozzle, W is the half-width of the mixing nozzle, H is the height of the mixing nozzle, d1 is the first offset distance, and d2 is the second offset distance, with the unit of millimeter; The adjustment of the initial mixing nozzle size and the initial relative position of the inlet to obtain an updated cutting head gas path model includes: Under the preset constraints, adjust the initial mixing nozzle size and the initial relative position of the inlet to obtain an updated half-length of the mixing nozzle, an updated half-width of the mixing nozzle, an updated height of the mixing nozzle, an updated first offset distance, and an updated second offset distance; An updated cutting head gas path model is formed according to the updated gas mixing nozzle half length, the updated gas mixing nozzle half width, the updated gas mixing nozzle height, the updated first offset distance, and the updated second offset distance.

[0061] If propane (C3H8) is used as the fuel part of the mixed gas, d1 corresponds to Figure 4 In the middle, d_c3h8, d2 corresponds to Figure 4 In the specific implementation process, in order to avoid invalid operations, it is necessary to impose corresponding constraints on the above-mentioned shape variables such as size and position. Of course, the gas mixing nozzle of this application is not limited to the cutting head fueled by propane.

[0062] By adopting the above-mentioned parameter variable editing marks and constraint ranges, the mixing block can meet the approximate shape range while facilitating the computer to directly retrieve and assign data to the corresponding parameters in the above-mentioned operation log file .py format log file through secondary development, thereby completing the cyclic work of the iterative process.

[0063] In step S205, the updated cutting head gas path model is used as the initial cutting head gas path model to be optimized, and the process of obtaining the initial cutting head gas path model to be optimized is returned to execute until the iteration condition is met, thereby obtaining the optimized gas mixing nozzle size of the gas mixing nozzle and the optimized relative positions of the two gas mixing input ports on the gas mixing nozzle.

[0064] In this embodiment, the functions implemented by the above-mentioned modeling software, fluid analysis software, grid division and calculation software can all be integrated to form corresponding functional modules, and cycle optimization can be achieved by controlling the input and output processes of the corresponding functional modules.

[0065] Each of the above software can be manually operated once to record the operation process in the form of a log. When the functional modules of the subsequent automated cycle are executed, they can be executed based on the operation process recorded in the log. Of course, the above operation process can also be compiled into an execution program to control each functional module to perform corresponding operations.

[0066] like Figure 6As shown, it is a flow chart of a method for performing an automated optimization in combination with functional software provided in the second embodiment of the present application. After obtaining the updated cutting head gas path model, the above-mentioned step S204 uses the updated cutting head gas path model as the initial cutting head gas path model to be optimized, and repeats steps S201 to S204 until the iteration condition is satisfied, wherein the iteration condition can be satisfied by reaching a preset number of iterations, or the corresponding optimized parameters converge, etc. The number of iteration steps is determined by the complexity, timeliness and convergence criteria of the specific analysis. The number of iterations for a single calculation in this embodiment is set to 100. The result is determined based on the above-mentioned convergence of the mixed gas ratio. When the fluctuation amplitude of the iteration step does not exceed 5% for 20 consecutive times, it is considered to be converged. In one embodiment, the optimization design can be performed by setting more single calculation iteration steps and fewer calculation times, or the number of iteration steps can be determined by the residual convergence criterion.

[0067] The final deformation parameters such as size and position can meet the preset conditions, that is, the final optimized mixing nozzle size and the optimized inlet relative position are obtained.

[0068] The above steps S201 to S205 can be implemented by building a gas mixing block optimization platform. This platform corresponds to the server side. The client is connected to the server side (i.e., the platform) to optimize the gas mixing block. All individual modules in each software used are connected in series. Each individual module is called, run, and terminated separately, and data is transmitted between modules. After completing an iterative calculation, a suitable algorithm is used to feedback and adjust the results obtained each time. The adjusted variables are input to the starting point of the process via data transmission to complete the next iterative calculation. After multiple automated iterative solutions, the parameter values ​​of each design variable with the lowest adjustment sensitivity of the gas mixing block and the function value of the dependent variable that can be obtained at this time are obtained.

[0069] like Figure 7 As shown in the figure, it is a flow chart of an integrated model based on an automated optimization method provided in the second embodiment of the present application. Based on this, the process of building an optimization platform is as follows: 1. Introduce the data exchange module into the process, select the write data function, call the .py format log file generated by the SpaceClaim software, read the content, and select the values ​​of L, W, H, d1, and d2 as variables; 2. In the downstream of the above modules, introduce the program running module to call the batch program .bat run by SpaceClaim to realize the automatic parametric modeling process. The above batch program .bat consists of a series of program call instructions, time interval instructions and program termination instructions; 3. In the downstream of the above module, introduce another program running module to call the batch processing program run by Fluent to realize automatic meshing, automatic analysis of the calculation process, and output the calculation results .out file. In the reading part of this module, call the output calculation result file, read the content, and select the values ​​of ratio1_gas (the mixed gas ratio of the first group) and ratio2_gas (the mixed gas ratio of the second group) as variables.

[0070] 4. Optimization logic is introduced into the entire process chain to perform iterative optimization operations. The NSGA-II genetic algorithm is selected as the optimization method, and the iterative process is adjusted according to the simulation time requirements. The above variables such as L, W, H, d1, and d2 are assigned initial values ​​and the constraint ranges are calibrated. The optimization ranges of the objective functions ratio1_gas and ratio2_gas are calibrated. The optimization target of the objective function ratio1_gas can be set to the minimum value, and the optimization target of the objective function ratio2_gas can be set to the maximum value. The above optimization target settings ensure that the aforementioned adjustment sensitivity judgment standard ratio1_gas - ratio2_gas achieves the minimum value, that is, the minimum adjustment sensitivity required by the design.

[0071] After the calculation is performed, the best and second best examples are obtained, such as Figure 8 The figure shows a three-dimensional dot matrix diagram of the distance between the mixing inlet and the central axis, the dimensions of the mixing block and the feasibility of the design scheme at different iteration steps after the structure optimization of the mixing nozzle provided in the second embodiment of the present application. Figure 8 It can be judged that the better design, that is, the lower adjustment sensitivity of the mixing block, is related to the smaller dimensions of the mixing block, especially W and H, and the smaller distance d_c3h8 between the propane component gas inlet and the center axis.

[0072] The embodiment of the present application determines the result of the gas mixing ratio by analyzing the fluid of the cutting head gas path model and combining it with the simulation input calculation output method, so as to automatically adjust the cutting head gas path model based on the difference in the gas mixing ratio under the difference of two input gas pressures, thereby performing optimization to obtain an optimized gas mixing nozzle design.

[0073] See also Figure 9 , is a flow chart of an automatic optimization method for a gas mixing nozzle of a composite cutting device provided in Example 3 of the present application. Figure 9 As shown, in the above step S203, determining the mixing ratio of each group of input gas pressures at the pressure outlet according to the fluid grid may include the following steps: Step S901 , taking the pressure and gas composition of each mixed gas input port as input, using a preset solution algorithm and combining the fluid grid, determines the mass fraction of each gas ejected from the pressure outlet per unit time.

[0074] Step S902: Compare the mass fractions of the two gases to obtain a gas mixture ratio corresponding to the input gas pressure of the group.

[0075] Taking the propane and auxiliary oxygen mentioned above as an example, the gas mixture ratio of the first group is represented by ratio1_gas, and the gas mixture ratio of the second group is represented by ratio2_gas. The gas mixture ratio is the ratio of the mass fractions of the propane component and the oxygen component at the outlet position. The mass of the propane component in the injected mixed gas is m_c3h8, and the mass of the oxygen component is m_o2. The gas mixture ratio at the outlet position is defined as: ratio_gas = m_c3h8 / m_o2.

[0076] In this embodiment, the difference between the gas mixture ratios of the two working conditions is taken as the judgment index of the adjustment sensitivity, that is, the difference between the gas mixture ratios is ratio1_gas - ratio2_gas.

[0077] To determine the gas mixing block's control sensitivity for a single design, the calculation software must output the two metrics, ratio1_gas and ratio2_gas, based on the aforementioned settings. Clearly, a single iteration of the design structure requires two calculations. In each calculation, the monitoring point p_out (i.e., the pressure outlet) is first set in the fluid domain. The calculated propane and oxygen mass fractions, m_c3h8 and m_o2, are then output. Finally, the software concatenates these two sets of data using an expression to determine the gas mixture ratio: ratio_gas = m_c3h8 / m_o2. This process represents a complete calculation. After two independent, complete calculations, the resulting gas mixture ratios are subtracted to obtain the final control sensitivity for this design.

[0078] The two calculated data points, ratio1_gas and ratio2_gas, are output using Fluent's output data operation and saved as .out files in the same directory. These two output data points, ratio1_gas and ratio2_gas (dependent variables), and the five deformation parameters L, W, H, d_c3h8, and d_o2 (independent variables) together constitute the multivariable, multi-objective optimization analysis project.

[0079] See also Figure 10 , is a flow chart of an automatic optimization method for a gas mixing nozzle of a composite cutting device provided in Example 4 of the present application. Figure 10As shown, based on the above-mentioned embodiment 3, step S204 is to adjust the initial gas mixing nozzle size and the initial inlet relative position with the goal of minimizing the difference between the gas mixing ratios corresponding to the two sets of input gas pressures to obtain an updated cutting head gas path model, which may include the following steps: Step S1001 : constructing a first objective function and a second objective function respectively according to the gas mixture ratios corresponding to the two sets of input gas pressures, with the goal of minimizing the first objective function and maximizing the second objective function so as to minimize the difference between the first objective function and the second objective function.

[0080] Step S1002: using a multi-objective genetic algorithm, adjusting the initial gas mixing nozzle size and the initial inlet relative position to obtain an updated cutting head gas path model.

[0081] Among them, for the objective function, the two groups of gas mixture ratios can be split into two objective functions, requiring one gas mixture ratio optimization target to obtain the minimum value, and the other gas mixture ratio optimization target to obtain the maximum value, so that the difference between the two is minimized.

[0082] Corresponding to the automatic optimization method of the gas mixing nozzle of the composite cutting device in the above embodiment, Figure 11 The structure block diagram of the automatic optimization device for the gas mixing nozzle of the composite cutting device provided in the fifth embodiment of the present application is shown. The automatic optimization device for the gas mixing nozzle of the composite cutting device can be applied to Figure 1 The server in the embodiment of the present invention performs optimization control when performing graph cleaning rule matching, specifically optimizing control of data storage during the graph cleaning rule matching process. For ease of explanation, only the parts related to the embodiment of the present application are shown.

[0083] See also Figure 11 The automatic optimization device of the gas mixing nozzle of the composite cutting device includes: The gas path model analysis module 1101 is used to obtain an initial cutting head gas path model to be optimized, extract the initial gas mixing nozzle size of the gas mixing nozzle in the initial cutting head gas path model, the initial relative positions of the two gas mixing input ports on the gas mixing nozzle, and the initial internal fluid domain within the cutting head in the initial cutting head gas path model; A flow field model determination module 1102 is configured to create an initial external fluid domain of a preset range in the jet direction of the cutting nozzle of the initial cutting head gas path model, use the surface of the initial external fluid domain as the external environment surface, and determine, in the initial internal fluid domain, the positions of the two gas mixing input ports on the gas mixing nozzle as pressure inlets and the center position of the outlet of the cutting nozzle as the pressure outlet, thereby obtaining a flow field model; The gas mixture ratio calculation module 1103 is configured to perform grid discretization on the flow field model to obtain a fluid grid. After two sets of input pressures are set at the pressure inlet, the gas mixture ratio at the pressure outlet for each set of input pressures is determined based on the fluid grid. Each set of input pressures includes the gas pressures at the two gas mixture input ports. The gas path model updating module 1104 is configured to adjust the initial gas mixing nozzle size and the initial inlet relative position with the goal of minimizing the difference in gas mixing ratios corresponding to the two sets of input gas pressures, thereby obtaining an updated cutting head gas path model; The loop optimization module 1105 is used to use the updated cutting head gas path model as the initial cutting head gas path model to be optimized, return to execute the acquisition of the initial cutting head gas path model to be optimized, and obtain the optimized gas mixing nozzle size of the gas mixing nozzle and the optimized relative positions of the two gas mixing input ports on the gas mixing nozzle after the iteration conditions are met.

[0084] Optionally, the automatic optimization device of the gas mixing nozzle of the composite cutting device further includes: An original file acquisition module, configured to acquire an original cutting head mechanical design file before acquiring the initial cutting head gas path model to be optimized; A first model simplification module is used to remove the locations where the gas path is blocked in the cutting head mechanical design file, retain the gas path and the surrounding structural parts constituting the gas path, and obtain an initial cutting head model; A second model simplification module is used to compress and hide the preset features in the cutting head model to obtain a compressed cutting head model; The third model simplification module is used to remove special structures from the compressed cutting head model to obtain an initial cutting head gas path model to be optimized.

[0085] Optionally, the gas path model analysis module 1101 includes: an internal fluid domain generating unit, configured to close all gas paths inside the cutting head of the initial cutting head gas path model using a volume extraction method to generate an initial internal fluid domain; a gas mixing nozzle size extraction unit, configured to extract the gas mixing nozzle half length, the gas mixing nozzle half width, and the gas mixing nozzle height of the gas mixing nozzle in the initial cutting head gas path model as initial gas mixing nozzle size; A relative position extraction unit is used to extract a first offset distance between the first air inlet of the mixing nozzle in the initial cutting head gas path model and the central axis of the mounting surface of the mixing nozzle, and a second offset distance between the second air inlet and the central axis as the initial inlet relative positions of the two mixing input ports on the mixing nozzle.

[0086] Optionally, the automatic optimization device of the gas mixing nozzle of the composite cutting device further includes: A constraint acquisition module, configured to acquire preset constraints before adjusting the initial dimensions of the mixing nozzle and the relative position of the initial inlet to obtain an updated cutting head gas path model. The preset constraints include 10 < L < 15, 4 < W < 9, 10 < H < 40, 3 < d1 < 8, and 3 < d2 < 8, where L is the half-length of the mixing nozzle, W is the half-width of the mixing nozzle, H is the height of the mixing nozzle, d1 is the first offset distance, and d2 is the second offset distance; The gas path model update module 1104 includes: A dimension update unit, configured to adjust the initial dimensions of the mixing nozzle and the relative position of the initial inlet under the preset constraints to obtain an updated half-length of the mixing nozzle, an updated half-width of the mixing nozzle, an updated height of the mixing nozzle, an updated first offset distance, and an updated second offset distance; A model update unit, configured to form an updated cutting head gas path model according to the updated half-length of the mixing nozzle, the updated half-width of the mixing nozzle, the updated height of the mixing nozzle, the updated first offset distance, and the updated second offset distance.

[0087] Optionally, the flow field model determination module 1102 includes: An external fluid domain determination unit, configured to create a cylinder with a preset size in the injection direction of the cutting nozzle of the initial cutting head gas path model to form an initial external fluid domain with a preset range; An overall fluid domain determination unit, configured to merge the initial internal fluid region and the initial external fluid region and hide the entity structures outside the initial internal fluid region and the initial external fluid region to obtain an overall fluid calculation domain; A flow field model determination unit, configured to use the surface of the initial external fluid domain as the external environment surface in the overall fluid calculation domain, and determine the positions of the two mixing gas input ports on the mixing nozzle in the initial internal fluid domain as the pressure inlets and the outlet center position of the cutting nozzle as the pressure outlet to obtain a flow field model.

[0088] Optionally, the mixing gas ratio calculation module 1103 includes: A mass fraction determination unit, configured to use the pressure and gas components of each mixing gas input port as input quantities, use a preset solution algorithm, and combine the fluid grid to determine the mass fraction of each gas ejected from the pressure outlet per unit time; A mixing gas ratio calculation unit, configured to calculate the ratio of the mass fractions of two gases to obtain a mixing gas ratio corresponding to the input air pressure of the corresponding group.

[0089] Optionally, the gas path model update module 1104 includes: an objective function determination unit, configured to construct a first objective function and a second objective function respectively according to the gas mixture ratios corresponding to the two sets of input gas pressures, with the first objective function being minimized and the second objective function being maximized as the goal, so that the difference between the first objective function and the second objective function is minimized; The gas path model updating unit is used to adjust the initial gas mixing nozzle size and the relative position of the initial inlet using a multi-objective genetic algorithm to obtain an updated cutting head gas path model.

[0090] It should be noted that the information interaction, execution process, etc. between the above-mentioned modules, units, and sub-units are based on the same concept as the method embodiment of this application. Their specific functions and technical effects can be found in the method embodiment section and will not be repeated here.

[0091] In one embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as follows: Figure 12 As shown. The computer device includes a processor, a memory, a network interface and a database connected via a system bus. 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 corresponding calculation parameters for ready call. The network 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, it realizes a method for automatically optimizing the gas mixing nozzle of a composite cutting device.

[0092] In one embodiment, a computer device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the automatic optimization method for the gas mixing nozzle of the composite cutting device in the above embodiment is implemented, for example Figure 2 Steps S201-S205 shown, or Figures 3 to 10 Alternatively, when the processor executes the computer program, the functions of each module / unit in the embodiment of the automatic optimization device for the gas mixing nozzle of the composite cutting device are realized, for example Figure 11 The functions of the gas path model analysis module 1101 , the flow field model determination module 1102 , the gas mixture ratio calculation module 1103 , the gas path model update module 1104 and the cycle optimization module 1105 are not described here in detail to avoid repetition.

[0093] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the automatic optimization method of the gas mixing nozzle of the composite cutting device in the above embodiment is implemented, for example Figure 2 Steps S201-S205 shown, or Figures 3 to 10 Alternatively, when the computer program is executed by a processor, the functions of the modules / units in the embodiment of the automatic optimization device for the gas mixing nozzle of the composite cutting device are realized, for example, Figure 11 The functions of the gas path model analysis module 1101 , the flow field model determination module 1102 , the gas mixture ratio calculation module 1103 , the gas path model update module 1104 and the cycle optimization module 1105 are not described here in detail to avoid repetition.

[0094] Those skilled in the art will understand that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program. 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 memory, storage, database or other media used in the embodiments provided in this application may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in many forms such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0095] Those skilled in the art will clearly understand that for the sake of convenience and brevity of description, only the division of the above-mentioned functional units and modules is used as an example. In actual applications, the above-mentioned functions can be distributed and completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above.

[0096] The embodiments described above are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention, and should all be included in the scope of protection of the present invention.

Claims

1. An automatic optimization method for a gas mixing nozzle of a composite cutting device, characterized in that: include: Obtaining an initial cutting head gas path model to be optimized, extracting an initial gas mixing nozzle size of the gas mixing nozzle in the initial cutting head gas path model, initial relative positions of two gas mixing input ports on the gas mixing nozzle, and an initial internal fluid domain within the cutting head in the initial cutting head gas path model; An initial external fluid domain of a preset range is created in the jet direction of the cutting nozzle of the initial cutting head gas path model, the surface of the initial external fluid domain is used as the external environment surface, and the positions of the two gas mixing input ports on the gas mixing nozzle are determined as pressure inlets and the center position of the outlet of the cutting nozzle is determined as the pressure outlet in the initial internal fluid domain to obtain a flow field model; The flow field model is discretely divided into a grid to obtain a fluid grid. After two sets of input air pressures are set at the pressure inlet, the mixing ratio of each set of input air pressures at the pressure outlet is determined according to the fluid grid, where each set of input air pressures includes the gas pressures of the two mixed air input ports. With the goal of minimizing the difference between the gas mixing ratios corresponding to the two sets of input gas pressures, the size of the initial gas mixing nozzle and the relative position of the initial inlet are adjusted to obtain an updated cutting head gas path model; The updated cutting head gas path model is used as the initial cutting head gas path model to be optimized, and the step of obtaining the initial cutting head gas path model to be optimized is returned to execute until the iteration condition is met, thereby obtaining the optimized gas mixing nozzle size of the gas mixing nozzle and the optimized relative positions of the two gas mixing input ports on the gas mixing nozzle.

2. The automatic optimization method of the gas mixing nozzle of the composite cutting device according to claim 1, characterized in that: Before obtaining the initial cutting head gas path model to be optimized, the method further includes: Obtain the original cutting head mechanical design file; The positions where the gas path is blocked in the cutting head mechanical design file are removed, and the gas path and the surrounding structural parts constituting the gas path are retained to obtain an initial cutting head model; compressing and hiding the preset features in the cutting head model to obtain a compressed cutting head model; The special structure of the compressed cutting head model is removed to obtain the initial cutting head gas path model to be optimized.

3. The automatic optimization method of the gas mixing nozzle of the composite cutting device according to claim 1, characterized in that: The extracting of the initial gas mixing nozzle size of the gas mixing nozzle in the initial cutting head gas path model, the initial relative positions of the two gas mixing input ports on the gas mixing nozzle, and the initial internal fluid domain inside the cutting head in the initial cutting head gas path model includes: Using a volume extraction method, closing all gas path channels inside the cutting head of the initial cutting head gas path model to generate an initial internal fluid domain; Extracting the gas mixing nozzle half length, gas mixing nozzle half width and gas mixing nozzle height of the gas mixing nozzle in the initial cutting head gas path model as initial gas mixing nozzle dimensions; The first offset distance between the first air inlet of the mixing nozzle and the central axis of the mounting surface of the mixing nozzle, and the second offset distance between the second air inlet and the central axis in the initial cutting head gas path model are extracted as the initial relative positions of the two mixing input ports on the mixing nozzle.

4. The automatic optimization method for the gas mixing nozzle of the composite cutting device according to claim 3, characterized in that: Before adjusting the initial gas mixing nozzle size and the relative position of the initial inlet to obtain an updated cutting head gas path model, the method further includes: Obtain preset constraints, where the preset constraints include 10 < L < 15, 4 < W < 9, 10 < H < 40, 3 < d1 < 8, and 3 < d2 < 8, where L is the half-length of the mixing nozzle, W is the half-width of the mixing nozzle, H is the height of the mixing nozzle, d1 is the first offset distance, and d2 is the second offset distance, all in millimeters. The adjusting of the initial gas mixing nozzle size and the relative position of the initial inlet to obtain an updated cutting head gas path model includes: Adjusting the initial gas mixing nozzle size and the relative position of the initial inlet under the preset constraints to obtain an updated gas mixing nozzle half length, an updated gas mixing nozzle half width, an updated gas mixing nozzle height, an updated first offset distance, and an updated second offset distance; An updated cutting head gas path model is formed according to the updated gas mixing nozzle half length, the updated gas mixing nozzle half width, the updated gas mixing nozzle height, the updated first offset distance, and the updated second offset distance.

5. The automatic optimization method for the gas mixing nozzle of the composite cutting device according to claim 1, characterized in that: The initial external fluid domain of a preset range is created in the jet direction of the cutting nozzle of the initial cutting head gas path model, the surface of the initial external fluid domain is used as the external environment surface, and the positions of the two gas mixing input ports on the gas mixing nozzle are determined as pressure inlets and the center position of the outlet of the cutting nozzle is determined as the pressure outlet in the initial internal fluid domain to obtain a flow field model, including: Creating a cylinder of a preset size in the jet direction of the cutting nozzle of the initial cutting head gas path model to form an initial external fluid domain of a preset range; Merging the initial internal fluid region and the initial external fluid region, and hiding the entity structure outside the initial internal fluid region and the initial external fluid region, to obtain an overall fluid calculation domain; In the overall fluid calculation domain, the surface of the initial external fluid domain is used as the external environment surface, and in the initial internal fluid domain, the positions of the two gas mixing input ports on the gas mixing nozzle are determined as pressure inlets and the center position of the outlet of the cutting nozzle is determined as the pressure outlet to obtain a flow field model.

6. The automatic optimization method for the gas mixing nozzle of the composite cutting device according to claim 1, characterized in that: Determining the mixed gas ratio of each set of input gas pressures at the pressure outlet according to the fluid grid includes: Taking the pressure and gas composition of each mixed gas input port as input, using a preset solution algorithm and combining it with the fluid grid, determine the mass fraction of each gas ejected from the pressure outlet per unit time; Compare the mass fractions of the two gases and obtain the ratio as the mixed gas ratio for the corresponding group of input gas pressures.

7. The automatic optimization method for the gas mixing nozzle of the composite cutting device according to claim 6, characterized in that: The method aims to minimize the difference between the gas mixing ratios corresponding to the two sets of input gas pressures, adjusts the size of the initial gas mixing nozzle and the relative position of the initial inlet, and obtains an updated cutting head gas path model, including: Constructing a first objective function and a second objective function according to the gas mixture ratios corresponding to the two sets of input gas pressures, respectively, with the first objective function being minimized and the second objective function being maximized as the goal, so that the difference between the first objective function and the second objective function is minimized; A multi-objective genetic algorithm is used to adjust the initial gas mixing nozzle size and the relative position of the initial inlet to obtain an updated cutting head gas path model.

8. An automatic optimization device for a gas mixing nozzle of a composite cutting device, characterized in that: include: a gas path model analysis module, configured to obtain an initial cutting head gas path model to be optimized, extract the initial gas mixing nozzle dimensions of the gas mixing nozzle in the initial cutting head gas path model, the initial relative positions of the two gas mixing input ports on the gas mixing nozzle, and the initial internal fluid domain within the cutting head in the initial cutting head gas path model; a flow field model determination module, configured to create an initial external fluid domain of a preset range in the jet direction of the cutting nozzle of the initial cutting head gas path model, use the surface of the initial external fluid domain as the external environment surface, and determine, in the initial internal fluid domain, the positions of the two gas mixing input ports on the gas mixing nozzle as pressure inlets and the center position of the outlet of the cutting nozzle as the pressure outlet, thereby obtaining a flow field model; a gas mixture ratio calculation module, configured to perform grid discretization on the flow field model to obtain a fluid grid, and after two sets of input gas pressures are set at the pressure inlet, determine the gas mixture ratio of each set of input gas pressures at the pressure outlet according to the fluid grid, wherein each set of input gas pressures includes the gas pressures of the two gas mixture input ports; a gas path model updating module, configured to adjust the size of the initial gas mixing nozzle and the relative position of the initial inlet with the goal of minimizing the difference between the gas mixing ratios corresponding to the two sets of input gas pressures, thereby obtaining an updated cutting head gas path model; A cyclic optimization module is used to use the updated cutting head gas path model as the initial cutting head gas path model to be optimized, return to execute the acquisition of the initial cutting head gas path model to be optimized, and obtain the optimized gas mixing nozzle size of the gas mixing nozzle and the optimized relative positions of the two gas mixing input ports on the gas mixing nozzle after the iteration conditions are met.

9. A computer device, characterized in that: The computer device includes a processor, a memory, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the automatic optimization method for the gas mixing nozzle of the composite cutting device according to any one of claims 1 to 7 is implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the automatic optimization method for the gas mixing nozzle of the composite cutting device according to any one of claims 1 to 7 is implemented.

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