Scroll compressor shafting dynamic balance simulation method, device, equipment and medium

Abstract

The invention relates to the technical field of compressors, and discloses a scroll compressor shafting dynamic balance simulation method, device and equipment and a medium, and the method comprises the following steps: carrying out fluid mechanics analysis based on a movable scroll plate model to obtain initial three-way gas force; performing dynamic analysis based on a scroll compressor model by taking the initial three-way gas force as a boundary condition to obtain a displacement result of a movable scroll plate; inputting the displacement result into the movable scroll plate model, updating the position and the motion state of the movable scroll plate, and carrying out fluid mechanics analysis again to obtain a new three-way gas force; and performing dynamic balance optimization on the scroll compressor model by taking the new three-way gas force as a boundary condition until a preset condition is met, and obtaining a target dynamic balance result. According to the technical scheme, the precision of dynamic balance simulation of the shaft system of the scroll compressor can be improved, and therefore the product reliability is improved through optimization of dynamic balance.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of compressors, in particular to a scroll compressor shaft system dynamic balance simulation method, device, equipment and medium. BACKGROUND

[0002] Currently, when the scroll compressor shaft system dynamic balance analysis is carried out through the virtual prototype technology, there are multiple technical limitations. The gas force calculation depends on the ideal gas assumption, ignores the gas viscosity and turbulent effect, resulting in large error; the geometric modeling assumes that the scroll tooth is a perfect involute, without considering the manufacturing error, causing the simulation and actual deviation; the simulation is usually based on the steady-state assumption, ignoring the gas flow and dynamic pressure fluctuation, affecting the accuracy of dynamic balance analysis; and the existing technology inputs the gas force as the load model, lacks two-way interaction, and cannot real-time correct the assumption or adjust the model parameters. These problems cause significant deviation between the simulation results and actual operation.

[0003] Therefore, how to improve the precision of scroll compressor shaft system dynamic balance simulation, so as to improve the product reliability through the optimization of dynamic balance is a technical problem to be solved at present. SUMMARY

[0004] The present application provides a scroll compressor shaft system dynamic balance simulation method, device, equipment and medium, which achieves the technical effect of improving the precision of scroll compressor shaft system dynamic balance simulation, so as to improve the product reliability through the optimization of dynamic balance.

[0005] In order to achieve the above purpose, the main technical scheme adopted by the present application includes: In a first aspect, the present application provides a scroll compressor shaft system dynamic balance simulation method, which comprises: Performing fluid mechanics analysis based on a dynamic scroll plate model to obtain initial three-direction gas forces; Performing dynamics analysis based on a scroll compressor model with the initial three-direction gas forces as boundary conditions to obtain displacement results of the dynamic scroll plate; Inputting the displacement results into the dynamic scroll plate model to update the position and motion state of the dynamic scroll plate, re-performing fluid mechanics analysis to obtain new three-direction gas forces; Performing dynamic balance optimization on the scroll compressor model with the new three-direction gas forces as boundary conditions until a preset condition is met to obtain target dynamic balance results.

[0006] The embodiment provides a scroll compressor shaft system dynamic balance simulation method, initial three-direction gas forces are obtained through fluid mechanics analysis, and the initial three-direction gas forces serve as a basis for subsequent optimization. The gas force data are used as boundary conditions to perform dynamic analysis, and displacement results of a scroll disc are obtained. Then, the position and motion state of the scroll disc are updated according to the displacement results, and fluid mechanics analysis is performed again to obtain new three-direction gas forces. The cyclic optimization process continuously adjusts the coordination between the gas forces and the scroll disc state, and ensures that the simulation is more accurate. Through the series of optimization steps, the dynamic balance simulation accuracy of the scroll compressor is significantly improved, and the reliability and stability of the product are also enhanced.

[0007] In one embodiment, the fluid mechanics analysis based on the scroll disc model obtains initial three-direction gas forces, and the fluid mechanics analysis based on the scroll disc model includes: According to geometric characteristics and motion parameters of a scroll disc in a scroll compressor, a scroll disc model of a structured O-type grid is generated, preset rotation speed of the scroll compressor, inlet and outlet pressures of the scroll disc and motion boundaries are input into the scroll disc model, fluid mechanics analysis is performed, and initial three-direction gas forces are obtained.

[0008] According to geometric characteristics and motion parameters of a scroll disc in a scroll compressor, a scroll disc model of a structured O-type grid is generated. Subsequently, rotation speed of the scroll compressor, inlet and outlet pressures of the scroll disc and motion boundaries are input into the model, fluid mechanics analysis is performed, and initial three-direction gas forces are obtained. The accurate gas force data provide a reliable basis for subsequent dynamic balance simulation, and help to optimize shaft system dynamic balance of the scroll compressor. Through accurate dynamic balance analysis, vibration of the scroll compressor can be effectively reduced, stability of the shaft system is improved, and therefore, reliability of the product is significantly improved, service life is prolonged, and failure rate and maintenance cost are reduced.

[0009] In one embodiment, in the process of the fluid mechanics analysis, the scroll disc adjusts node positions of the structured O-type grid every preset angle of rotation.

[0010] In one embodiment, the scroll disc model reduces eddy viscosity through an SST limiter to perform the fluid mechanics analysis on adverse pressure gradients, separated flow and boundary layers.

[0011] In one embodiment, the initial three-direction gas forces are used as boundary conditions to perform dynamic analysis based on a scroll compressor model to obtain displacement results of the scroll disc, and the dynamic analysis based on the scroll compressor model includes: The initial three-direction gas forces are used as boundary conditions and added to the scroll compressor model. According to the state of the bearing in the scroll compressor, the gap, axial damping coefficient, bending damping coefficient, and radial damping coefficient of the bearing are input into the scroll compressor model after adding boundary conditions to perform dynamic analysis and obtain displacement results of the orbiting scroll plate.

[0012] The initial three-direction gas force is input as a boundary condition into the scroll compressor model to simulate the force condition of the scroll compressor under actual working conditions and improve simulation accuracy. Further consideration of the actual characteristics of the bearing, such as the gap, axial and radial damping coefficients, etc., accurately calculates the displacement results of the orbiting scroll plate. Through these two steps, the dynamic simulation of the scroll compressor more accurately reflects the vibration characteristics and force conditions in actual work, thereby providing more reliable data support for subsequent dynamic balance optimization. This optimization process reduces vibration and wear, improves the long-term operation stability and reliability of the scroll compressor, and ultimately improves the overall performance of the product.

[0013] In one embodiment, the orbiting scroll plate model uses a Shear Stress Transport turbulence model.

[0014] In one embodiment, the scroll compressor model is dynamically balanced and optimized using the new three-direction gas force as a boundary condition until a predetermined condition is met to obtain a target dynamic balance result, including: using the new three-direction gas force as a boundary condition; using the mass, installation position, and installation angle of the balance block in the scroll compressor, and the installation position of the main and auxiliary bearings as design variables; using the load size of the main and auxiliary bearings in the scroll compressor as an optimization target, and using the weight of the upper and lower balance blocks as a constraint condition of the scroll compressor model; using a NAGA-II multi-objective optimization algorithm to dynamically balance and optimize the scroll compressor model until a predetermined condition is met to obtain a target dynamic balance result.

[0015] The embodiment simulates the actual working condition by taking the new three-way gas force as the boundary condition, thereby improving the accuracy of dynamic balance optimization and ensuring that the force distribution in the optimization process is more realistic and effective. Then, by adjusting the mass, installation position and angle of the balance block and other design variables, the dynamic balance of the compressor is optimized, the vibration is reduced, and the overall stability is improved. In this process, the fixed position of the main and auxiliary bearings may also affect the balance, so it is included as one of the design variables. The bearing load size is optimized and the balance block weight is controlled to ensure that no additional burden is added during the optimization process. Through fine load calculation, the optimization can evenly distribute the load, reduce local stress, and thus improve the stability and life of the bearing. Finally, the NAGA-II multi-objective optimization algorithm is used to consider multiple design objectives at the same time, quickly explore and find the optimal dynamic balance solution, and ensure that the design result reaches the best balance. Not only does it improve the dynamic balance accuracy of the scroll compressor, but also effectively improves the reliability and stability of the product. The optimized design reduces vibration and improves structural stability.

[0016] In a second aspect, the embodiment of the present application provides a scroll compressor shaft system dynamic balance simulation device, the device comprising: a gas force obtaining unit, configured to perform fluid mechanics analysis based on a dynamic scroll plate model to obtain initial three-way gas force; a displacement result obtaining unit, configured to take the initial three-way gas force as a boundary condition, perform dynamics analysis based on a scroll compressor model, and obtain displacement results of the dynamic scroll plate; a gas force updating unit, configured to input the displacement results into the dynamic scroll plate model, update the position and motion state of the dynamic scroll plate, perform fluid mechanics analysis again, and obtain new three-way gas force; a dynamic balance optimization unit, configured to take the new three-way gas force as a boundary condition, perform dynamic balance optimization on the scroll compressor model until a preset condition is met, and obtain target dynamic balance results.

[0017] In a third aspect, the embodiment of the present application provides a computer device, comprising: a memory and a processor, which are communicatively connected with each other, and the memory stores computer instructions, and the processor executes the computer instructions to perform the scroll compressor shaft system dynamic balance simulation method described above.

[0018] In a fourth aspect, the embodiment of the present application provides a computer readable storage medium, which stores computer instructions, and the computer instructions are used to make a computer execute the scroll compressor shaft system dynamic balance simulation method described above. BRIEF DESCRIPTION OF DRAWINGS

[0019] In order to more clearly illustrate the technical solutions in the specific embodiments of the present application or the prior art, the drawings needed to be used in the specific embodiments or prior art description will be briefly introduced. Obviously, the drawings in the following description are some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0020] Figure 1 A flow chart of a simulation method of dynamic balance of a scroll compressor shaft system provided by an embodiment of the present application is shown in FIG. 1. Figure 2 A flow chart of step S1 provided by an embodiment of the present application is shown in FIG. 2. Figure 3 A flow chart of step S3 provided by an embodiment of the present application is shown in FIG. 4. Figure 4 A flow chart of step S7 provided by an embodiment of the present application is shown in FIG. 8. Figure 5 A block diagram of a simulation device of dynamic balance of a scroll compressor shaft system provided by an embodiment of the present application is shown in FIG. 9. Figure 6 A structural schematic diagram of a computer device provided by an embodiment of the present application is shown in FIG. 10. DETAILED DESCRIPTION

[0021] In order to make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be described clearly and completely in combination with the drawings in the embodiments of the present application. Obviously, the described embodiments are some embodiments of the present application, but not all the embodiments. Based on the embodiments in the present application, all the other embodiments obtained by those skilled in the art without creative labor belong to the protection scope of the present application.

[0022] Currently, by importing a three-dimensional model of a scroll compressor into a dynamics simulation software, the dynamic balance of the scroll compressor shaft system can be simulated by means of virtual prototyping technology. The running state of the shaft system is obtained by simulation analysis, and the design is optimized to improve the performance of the scroll compressor.

[0023] However, current gas force calculation is mainly based on the ideal gas assumption, which ignores the viscosity, turbulence and other phenomena of the gas, which may cause large errors in practical applications. Assuming that the gas behavior is ideal, there is a large difference from the actual gas characteristics, which further affects the accuracy of the dynamic balance analysis results. In the geometric modeling of scroll compressors, the scroll tooth is assumed to be a perfect involute, ignoring the errors that may exist in the manufacturing process (such as machining deviation, surface roughness, etc.). This idealized assumption may cause deviations between the simulation model and the actual equipment in details, leading to errors in performance prediction. Current simulations are usually based on steady-state or quasi-static assumptions, ignoring dynamic effects such as gas flow and pressure fluctuations. However, in actual operation of scroll compressors, gas flow and dynamic pressure fluctuations have an important influence on dynamic balance, so this simplified assumption may cause the simulation results to deviate from the actual situation. In the simulation, it is often assumed that the inlet and outlet pressures and temperatures are fixed values, but in actual applications, these parameters will change over time and operating conditions, so this simplified boundary condition setting ignores the dynamic changes of the gas force, which further affects the accuracy of the dynamic balance analysis.

[0024] The current technology inputs the gas force calculated by the theoretical calculation into the dynamic model as the load, but this method has a one-way data flow. That is, only the gas force derived from the theoretical model is loaded into the simulation, lacking the dynamic feedback process in actual operation. The prior art fails to effectively establish a two-way interaction between the simulation model and the actual gas force. The theoretical calculation provides the gas force load, but the simulation results cannot necessarily correct the assumptions of the gas force or adjust the model parameters in real time, resulting in inaccurate data and a lack of comprehensive control over the complex dynamic effects of scroll compressors in actual operation. Although virtual prototyping technology provides important support for the dynamic balance optimization of scroll compressors, the existing technology has significant limitations in gas force calculation, geometric assumptions, dynamic effect processing and data transmission methods.

[0025] Therefore, how to improve the precision of scroll compressor shaft dynamic balance simulation, and thereby improve the product reliability through dynamic balance optimization is a technical problem that needs to be solved at present.

[0026] According to the embodiments of the present application, a scroll compressor shaft dynamic balance simulation method embodiment is provided. It should be noted that the steps shown in the flowchart of the drawings can be executed in a computer system such as a set of computer executable instructions, and although the logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from here.

[0027] In the present embodiment, a scroll compressor shaft dynamic balance simulation method is provided, Figure 1 The flowchart of the scroll compressor shaft dynamic balance simulation method provided in the embodiments of the present application is as follows, Figure 1As shown, the process includes the following steps: Step S1, based on the dynamic scroll plate model, fluid mechanics analysis is performed to obtain the initial three-directional gas forces.

[0028] Specifically, by using computational fluid dynamics (CFD) technology, the flow behavior of gas inside the compressor is accurately simulated, so as to obtain the initial three-directional gas forces acting on the dynamic scroll plate under specific operating conditions. These gas forces include forces in X, Y and Z directions, which are generated due to the flow and compression process of gas between the dynamic scroll plate and the static scroll plate. By accurately calculating these gas forces, accurate boundary conditions can be provided for subsequent dynamic analysis, thereby optimizing the dynamic balance performance of the compressor, reducing vibration and noise, and improving the operating efficiency and reliability of the equipment. This process not only needs to consider the flow characteristics of gas, such as velocity, pressure and temperature distribution, but also needs to consider the geometric shape, motion parameters of the dynamic scroll plate and the interaction with the static scroll plate. By using advanced CFD software and dynamic mesh technology, high-precision simulation of complex flow phenomena can be achieved, providing strong support for the design and optimization of scroll compressors.

[0029] Step S3, taking the initial three-directional gas forces as boundary conditions, based on the scroll compressor model, dynamic analysis is performed to obtain the displacement results of the dynamic scroll plate.

[0030] Specifically, by using dynamic software, the dynamic response of the dynamic scroll plate under the action of gas forces is simulated, so as to obtain its displacement results. Specifically, the dynamic analysis considers the material properties, geometric shapes and constraint relationships between the components in the compressor shaft system, including bearing clearance, damping coefficient and other parameters. Through these detailed settings, the dynamic analysis can accurately calculate the displacement changes of the dynamic scroll plate in X, Y and Z directions during operation. These displacement results not only reflect the actual motion state of the dynamic scroll plate under the action of gas forces, but also provide important feedback for subsequent fluid mechanics analysis, so that the entire simulation process can realize two-way coupling, thereby being closer to the actual operating conditions. Through this accurate dynamic analysis, the dynamic balance performance of the scroll compressor can be effectively evaluated and optimized, the vibration and noise can be reduced, and the operating efficiency and reliability of the equipment can be improved.

[0031] Step S5, input the displacement results into the dynamic scroll plate model, update the position and motion state of the dynamic scroll plate, and perform fluid mechanics analysis again to obtain new three-directional gas forces.

[0032] Specifically, by accurately inputting displacement data into the moving scroll disk model, the model is ensured to reflect the dynamic changes of the moving scroll disk during actual operation. Subsequently, a fluid dynamics analysis is performed again based on the updated model to calculate the triaxial gas forces acting on the moving scroll disk under the new position and motion state. This step not only considers the influence of the geometric changes of the moving scroll disk on gas flow but also adapts to changes in its motion state through dynamic mesh technology, thereby more accurately simulating the distribution of gas forces. Through this iterative two-way coupling method, the error between theoretical calculations and actual operation can be gradually reduced, ultimately obtaining triaxial gas forces that are closer to real operating conditions, providing strong support for optimizing the design of scroll compressors and improving their operating performance.

[0033] Step S7: Using the new triaxial gas force as the boundary condition, perform dynamic balance optimization on the scroll compressor model until the preset conditions are met, and obtain the target dynamic balance result.

[0034] Specifically, by using the new triaxial gas force obtained from fluid dynamics analysis as input, a dynamic analysis of the scroll compressor's shaft system is performed, and dynamic balancing optimization is carried out based on this analysis. During the optimization process, parameters such as the mass, installation position, and installation angle of the balance block are selected as design variables, the load magnitude of the main and auxiliary bearings is used as the optimization objective, and the total weight of the balance block is used as a constraint. The NAGA-II multi-objective optimization algorithm is used to optimize the candidate design combination space to find the optimal solution. The calculated solutions converge to the Pareto front distribution optimal solution set, and the most suitable scheme can be selected from these solutions according to actual needs. This optimization method can significantly improve the dynamic balance performance of the scroll compressor, reduce vibration and noise, improve equipment operating efficiency and reliability, and ultimately obtain the target dynamic balance result that meets the preset conditions.

[0035] This embodiment provides a dynamic balancing simulation method for a scroll compressor shaft system. Initial triaxial gas forces are obtained through fluid dynamics analysis, serving as the basis for subsequent optimization. These gas force data are used as boundary conditions for dynamic analysis, yielding the displacement results of the scroll disk. Then, the position and motion state of the scroll disk are updated based on these displacement results, and fluid dynamics analysis is performed again to obtain new triaxial gas forces. This cyclical optimization process continuously adjusts the coordination between the gas forces and the scroll disk state, ensuring more accurate simulation. Through this series of optimization steps, the dynamic balancing simulation accuracy of the scroll compressor is significantly improved, and the reliability and stability of the product are enhanced.

[0036] Figure 2 The flowchart for step S1 provided in the embodiments of this application may include the following steps: Step S11: Generate a structured O-type mesh model of the moving scroll disk based on the geometric features and motion parameters of the moving scroll disk in the scroll compressor.

[0037] Specifically, the geometric features (such as tooth profile and dimensions) of the moving scroll disk in a scroll compressor are very complex, typically involving multiple tooth structures. The design must consider the angle and depth of the teeth, as well as the fit between the moving and stationary scroll disks. For example, the tooth profile design of the moving scroll disk directly affects the gas compression efficiency and flow behavior. The dimensions of the moving scroll disk include its diameter, height, and number of teeth; these parameters influence the gas flow path and compression process. Motion parameters (such as rotational speed and orbital motion) are also crucial; the moving scroll disk of a scroll compressor typically rotates at high speeds. This parameter needs to be accurately input to ensure that realistic airflow characteristics can be simulated in fluid dynamics analysis. The moving scroll disk not only rotates but also typically orbits on a circular track. This orbital motion changes the relative positions between the teeth, thus affecting gas flow and compression. As the moving scroll disk rotates, its angle and position constantly change. Therefore, the mesh structure must be dynamically adjusted to adapt to the changing geometry and position of the moving scroll disk.

[0038] Structured O-type meshes are a type of mesh that forms a closed structure around an object, making them ideal for handling complex geometries and high-curvature regions. The tooth profile of a moving vortex disk falls within a high-curvature region, and using structured O-type meshes ensures high-quality meshes in these areas. Parametric mesh generation technology automatically generates meshes based on the geometric characteristics and motion parameters of the moving vortex disk, effectively reducing manual intervention and errors and improving mesh generation efficiency. As the vortex disk moves, the mesh needs to adapt in real time to ensure that the orthogonality and quality of the mesh are maintained at every instant, which is crucial for subsequent fluid dynamics analysis.

[0039] Step S13: Input the preset scroll compressor speed, inlet and outlet pressures of the moving scroll disk, and motion boundary into the moving scroll disk model to perform fluid dynamics analysis and obtain the initial three-dimensional gas force.

[0040] Specifically, the rotational speed of the scroll compressor directly affects the gas flow path, the magnitude of gas forces, and the compression efficiency. Accurately inputting the rotational speed value is crucial for subsequent gas force analysis. The inlet and outlet pressures of the moving scroll determine the gas flow characteristics within the compressor. Higher inlet and outlet pressures result in more significant energy conversion during compression. Motion boundary conditions refer to the relative motion between the moving scroll and other components (such as the stationary scroll), which affects gas pressure, velocity, and flow direction. The preset scroll compressor rotational speed, the inlet and outlet pressures of the moving scroll, and the motion boundary conditions are input into the moving scroll model. CFD software is used for fluid dynamics analysis to calculate the triaxial gas forces (i.e., gas forces in the X, Y, and Z directions) acting on the moving scroll under operating conditions. These gas forces, as external load data, can be used to interact with dynamic simulation software, providing a foundation for further dynamic analysis.

[0041] In a preferred embodiment, the moving vortex disk model adopts the Shear Stress Transport turbulence model.

[0042] In a preferred embodiment, the dynamic vortex disk model reduces eddy viscosity using an SST limiter to perform fluid dynamics analysis of adverse pressure gradients, separated flows, and boundary layers.

[0043] Specifically, most current simulation models of scroll compressors assume the gas is an ideal gas, neglecting its actual properties such as viscosity and turbulence. While the ideal gas assumption is often used in engineering to simplify calculations, it cannot accurately reflect the complex characteristics of gas flow within a scroll compressor, especially under high-speed rotation and high-pressure conditions. Because the working principle of a scroll compressor involves high-speed gas flow, the actual behavior of the gas (such as turbulence, thermodynamic changes, and viscous effects) has a significant impact on gas forces. Therefore, neglecting these factors leads to large errors in gas force calculations, thus affecting the dynamic balance analysis results of the scroll compressor.

[0044] This embodiment employs the Shear Stress Transport (SST) turbulence model to simulate the turbulent behavior of gas. This model combines the advantages of the κ-ε and κ-ω models, enabling more accurate simulation of highly turbulent regions, especially in complex flow environments such as high-speed scroll compressors. The introduction of the SST turbulence model effectively simulates the turbulent characteristics of gas and allows for more precise analysis of local flow details.

[0045] By reducing eddy viscosity using the SST limiter, the simulation accuracy for adverse pressure gradients, separated flows, and boundary layers is improved. The SST turbulence model can directly analyze the viscous sublayer without using wall functions, thus enhancing simulation accuracy. Enabling the energy equations allows for fluid simulation of the compression process of a scroll compressor, considering the thermodynamic behavior of the gas. The resulting triaxial gas forces can be used as load data and interacted with dynamics software for further dynamic analysis.

[0046] In a preferred embodiment, during the fluid dynamics analysis, the node positions of the structured O-type mesh are adjusted every time the moving vortex disk rotates by a preset angle.

[0047] Specifically, in the fluid dynamics analysis process, the node positions of the structured O-type mesh are adjusted using an elastic mesh deformation algorithm every time the moving vortex disk rotates by a preset angle. That is, during the 360° rotation of the moving vortex disk, the internal node positions are adjusted using the elastic mesh deformation algorithm to generate a new mesh for every 1° rotation, while avoiding mesh distortion. This dynamic adjustment maintains mesh quality during the movement of the moving vortex disk, avoids mesh distortion, and ensures the accuracy and stability of the calculation.

[0048] This embodiment generates a structured O-grid model of the moving scroll disk based on its geometric features and motion parameters. Subsequently, the compressor's rotational speed, the inlet and outlet pressures of the moving scroll disk, and the motion boundaries are input into the model for fluid dynamics analysis, yielding initial triaxial gas forces. These precise gas force data provide a reliable basis for subsequent dynamic balancing simulations, helping to optimize the dynamic balance of the scroll compressor's shaft system. Through accurate dynamic balancing analysis, the vibration of the scroll compressor can be effectively reduced, and the stability of the shaft system can be improved, thereby significantly improving product reliability, extending its service life, and reducing failure rates and maintenance costs.

[0049] Figure 3 The flowchart for step S3 provided in the embodiments of this application may include the following steps: Step S31: Add the initial triaxial gas force as a boundary condition to the scroll compressor model.

[0050] Specifically, the initial triaxial gas force (F) of the moving vortex disk obtained from fluid dynamics analysis x (t), F y (t), F z (t)). These initial triaxial gas forces are added as boundary conditions to the dynamic model of the scroll compressor, i.e., the scroll compressor model. These initial triaxial gas forces will serve as external loads on the moving scroll disk in the dynamic analysis, reflecting the gas force action under actual operating conditions.

[0051] Step S33: Based on the bearing condition in the scroll compressor, input the bearing clearance, axial damping coefficient, bending damping coefficient, and radial damping coefficient into the scroll compressor model after adding boundary conditions, perform dynamic analysis, and obtain the displacement result of the moving scroll disk.

[0052] Specifically, the bearing clearance refers to the radial and axial clearances of the bearing. The axial damping coefficient is the bearing's damping coefficient in the axial direction. The bending damping coefficient is the bearing's damping coefficient in the bending direction. The radial damping coefficient is the bearing's damping coefficient in the radial direction. These parameters are input into the scroll compressor model after adding boundary conditions for dynamic analysis. The purpose of this step is to calculate the displacement results (x(t), y(t), z(t)) of the moving scroll disk under the action of the initial triaxial gas force and bearing parameters.

[0053] It should be noted that the assembled scroll compressor model is imported into dynamics software (such as ANSYS Mechanical, ADAMS, etc.). Appropriate material properties, such as density, elastic modulus, and Poisson's ratio, are assigned to each component. Constraints are added to the model based on the constraint relationships between the various moving mechanisms of the scroll compressor. These constraints include fixed constraints and rotational constraints to ensure that the model's motion conforms to actual operating conditions. The contact type between the anti-spinning ring and the anti-spinning pin is defined, and the normal force type, stiffness, damping, and penetration depth are set. These settings ensure that the anti-spinning device can correctly simulate its function in the dynamic analysis. A modal neutral file (MNF file) is generated from the mesh file from the CFD model preprocessing and used to replace the rigid body of the moving scroll. This step ensures that the mesh nodes correspond correctly in the dynamic analysis, improving the simulation accuracy. The modal neutral file considers the elastic deformation of the moving scroll disk, making the model closer to the actual operating state.

[0054] This embodiment uses the initial triaxial gas force as a boundary condition input into the scroll compressor model, enabling a realistic simulation of the scroll compressor's stress conditions under actual operating conditions and improving simulation accuracy. Furthermore, considering the actual characteristics of the bearings, such as clearance, axial and radial damping coefficients, the displacement of the moving scroll disk is accurately calculated. Through these two steps, the dynamic simulation of the scroll compressor more accurately reflects the vibration characteristics and stress conditions during actual operation, thus providing more reliable data support for subsequent dynamic balancing optimization. This optimization process reduces vibration and wear, improves the long-term operational stability and reliability of the scroll compressor, and ultimately enhances the overall performance of the product.

[0055] Figure 4 The flowchart for step S7 provided in the embodiments of this application may include the following steps: Step S71, using the new triaxial gas force as the boundary condition.

[0056] Specifically, new triaxial gas forces are obtained from fluid dynamics analysis. These new triaxial gas forces are used as boundary conditions and input into the scroll compressor model. These forces will serve as external loads on the moving scroll disk in the dynamic analysis. The new triaxial gas forces ensure the accuracy of the external loads in the dynamic analysis, making the subsequent optimization objectives more closely aligned with the needs of practical applications.

[0057] Step S73: The mass, installation position, installation angle, and installation position of the main and auxiliary bearings of the balance block in the scroll compressor are used as design variables.

[0058] Specifically, the mass of the balance block includes the masses m1 and m2 of the upper and lower balance blocks. The installation position refers to the axial and radial installation positions of the balance block. The installation positions are r1 and r2 of the balance block. The installation angle is the installation angle η of the balance block. 1 and η2. By changing the installation position (axial and radial) and angle of the balance weights, the dynamic balance of the scroll compressor can be adjusted, reducing vibration. The installation angle has a significant impact on the vibration characteristics of the scroll compressor, therefore it needs to be optimized according to different operating conditions. Although the installation position of the main and auxiliary bearings is usually not considered as an optimization variable, it can be considered as a fixed parameter. Since the motor power and size of the compressor are determined in the early design stage, the installation position of the balance weights and the positions of the main and auxiliary bearings are usually not changed.

[0059] Step S75: The load on the main and auxiliary bearings in the scroll compressor is taken as the optimization objective, and the weight of the upper and lower balance blocks is taken as the constraint condition of the scroll compressor model.

[0060] Specifically, the optimization objective is to minimize the loads f1 and f2 on the main and auxiliary bearings. The specific calculation formula is as follows: The weight of the optimized upper and lower balance blocks does not exceed the weight before optimization, i.e., (m1+m2)after optimization ≤ (m1+m2)before optimization. This is to avoid adding extra mass during the design process and to ensure that the overall mass of the structure meets the design requirements while optimizing.

[0061] Step S77: Use the NAGA-II multi-objective optimization algorithm to perform dynamic balance optimization on the scroll compressor model until the preset conditions are met, and obtain the target dynamic balance result.

[0062] Specifically, a candidate design combination space is formed based on the optimal dynamic balance feasible design combination parameters m1, m2, r1, r2, η1, η2. The NAGA-II algorithm is then used to optimize this candidate space. The calculated solutions converge to the optimal solution set distributed by the Pareto front, yielding the target dynamic balance result. Through this optimization process, the dynamic balance of the scroll compressor will reach an ideal state, reducing vibration and improving the compressor's operational stability and reliability.

[0063] This embodiment uses a novel triaxial gas force as a boundary condition to accurately simulate actual operating conditions, thereby improving the accuracy of dynamic balance optimization and ensuring a more realistic and effective force distribution during the optimization process. Then, by adjusting design variables such as the mass, installation position, and angle of the balance block, the dynamic balance of the compressor is optimized, reducing vibration and improving overall stability. During this process, the fixed position of the main and auxiliary bearings may also affect the balance, and therefore is included as one of the design variables. The bearing load is optimized and the weight of the balance block is controlled to ensure that no additional burden is added during the optimization process. Through precise load calculations, optimization can evenly distribute the load, reduce local stress, and thus improve the stability and lifespan of the bearings. Finally, the NAGA-II multi-objective optimization algorithm is used to simultaneously consider multiple design objectives, quickly explore and find the optimal dynamic balance solution, ensuring that the design result achieves the best balance. This not only improves the dynamic balance accuracy of the scroll compressor but also effectively enhances the reliability and stability of the product. The optimized design reduces vibration and improves structural stability.

[0064] Accordingly, please refer to Figure 5 A block diagram of a scroll compressor shaft dynamic balancing simulation device provided in this application embodiment, the device comprising: Gas force acquisition unit 101 is used to perform fluid dynamics analysis based on the moving scroll disk model to obtain the initial triaxial gas force; displacement result acquisition unit 103 is used to use the initial triaxial gas force as boundary conditions to perform dynamic analysis based on the scroll compressor model to obtain the displacement result of the moving scroll disk. The gas force update unit 105 is used to input the displacement results into the moving vortex disk model, update the position and motion state of the moving vortex disk, and re-perform the fluid dynamics analysis to obtain new triaxial gas forces. The dynamic balancing optimization unit 107 is used to perform dynamic balancing optimization on the scroll compressor model using the new triaxial gas force as boundary condition until the preset conditions are met and the target dynamic balancing result is obtained.

[0065] In some alternative embodiments, the gas force obtaining unit 101 includes: Based on the geometric characteristics and motion parameters of the moving scroll disk in the scroll compressor, a structured O-type mesh moving scroll disk model is generated; the preset scroll compressor speed, inlet and outlet pressures of the moving scroll disk, and motion boundaries are input into the moving scroll disk model to perform fluid dynamics analysis and obtain the initial triaxial gas force.

[0066] In some alternative implementations, during the fluid dynamics analysis, the node positions of the structured O-type mesh are adjusted every time the moving vortex disk rotates by a preset angle.

[0067] In some alternative implementations, the dynamic vortex disk model reduces eddy viscosity using an SST limiter to enable fluid dynamics analysis of adverse pressure gradients, separated flows, and boundary layers.

[0068] In some alternative implementations, the displacement result obtaining unit 103 includes: The initial triaxial gas force is added as a boundary condition to the vortex compressor model; Based on the bearing condition in the scroll compressor, the bearing clearance, axial damping coefficient, bending damping coefficient, and radial damping coefficient are input into the scroll compressor model after adding boundary conditions to perform dynamic analysis and obtain the displacement results of the moving scroll disk.

[0069] In some alternative implementations, the moving vortex disk model employs the Shear Stress Transport turbulence model.

[0070] In some alternative implementations, the dynamic balancing optimization unit 107 includes: The new triaxial gas force is used as the boundary condition; The mass, installation position, installation angle, and installation position of the main and auxiliary bearings in the scroll compressor are used as design variables; the load on the main and auxiliary bearings in the scroll compressor is used as the optimization objective; and the weight of the upper and lower balance blocks is used as the constraint condition of the scroll compressor model. The NAGA-II multi-objective optimization algorithm was used to perform dynamic balance optimization on the scroll compressor model until the preset conditions were met, and the target dynamic balance result was obtained.

[0071] Further functional descriptions of the above modules and units are the same as those in the corresponding embodiments described above, and will not be repeated here.

[0072] In this embodiment, the scroll compressor shaft dynamic balancing simulation device is presented in the form of a functional unit. Here, a unit refers to an ASIC (Application Specific Integrated Circuit) circuit, a processor and memory that execute one or more software or fixed programs, and / or other devices that can provide the above functions.

[0073] Please see Figure 6 , Figure 6 This application provides a schematic diagram of the structure of a computer device, as shown in the embodiment of the present application. Figure 6As shown, the computer device includes one or more processors 10, memory 20, and interfaces for connecting the components, including high-speed interfaces and low-speed interfaces. The components communicate with each other via different buses and can be mounted on a common motherboard or otherwise installed as needed. The processors can process instructions executed within the computer device, including instructions stored in or on memory to display graphical information of a GUI on external input / output devices (such as display devices coupled to the interfaces). In some alternative implementations, multiple processors and / or multiple buses can be used with multiple memories and multiple memory modules, if desired. Similarly, multiple computer devices can be connected, each providing some of the necessary operations (e.g., as a server array, a group of blade servers, or a multiprocessor system). Figure 6 Take a processor 10 as an example.

[0074] Processor 10 may be a central processing unit, a network processor, or a combination thereof. Processor 10 may further include a hardware chip. The hardware chip may be an application-specific integrated circuit (ASIC), a programmable logic device (PLD), or a combination thereof. The programmable logic device may be a complex programmable logic device (CAMP), a field-programmable gate array (FPGA), a general-purpose array logic (GDA), or any combination thereof.

[0075] The memory 20 stores instructions executable by at least one processor 10 to cause the at least one processor 10 to perform the method shown in the above embodiments.

[0076] The memory 20 may include a program storage area and a data storage area. The program storage area may store the operating system and applications required for at least one function; the data storage area may store data created based on the use of the computer device. Furthermore, the memory 20 may include high-speed random access memory and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid-state storage device. In some alternative embodiments, the memory 20 may optionally include memory remotely located relative to the processor 10, and these remote memories may be connected to the computer device via a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

[0077] The memory 20 may include volatile memory, such as random access memory; the memory may also include non-volatile memory, such as flash memory, hard disk or solid-state drive; the memory 20 may also include a combination of the above types of memory.

[0078] The computer device also includes a communication interface 30 for communicating with other devices or communication networks.

[0079] This application also provides a computer-readable storage medium. The methods described in this application can be implemented in hardware or firmware, or implemented as recordable on a storage medium, or implemented as computer code downloaded over a network and originally stored on a remote storage medium or a non-transitory machine-readable storage medium and subsequently stored on a local storage medium. Thus, the methods described herein can be processed by software stored on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. The storage medium can be a magnetic disk, optical disk, read-only memory, random access memory, flash memory, hard disk, or solid-state drive, etc.; further, the storage medium can also include combinations of the above types of memory. It is understood that computers, processors, microprocessor controllers, or programmable hardware include storage components capable of storing or receiving software or computer code. When the software or computer code is accessed and executed by the computer, processor, or hardware, the methods shown in the above embodiments are implemented.

[0080] The apparatus and units described in the above embodiments can be implemented by a computer chip or physical entity, or by a product with a certain function. A typical implementation device is a computer. Specifically, a computer can be, for example, a personal computer, a laptop computer, a cellular phone, a camera phone, a smartphone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or any combination of these devices.

[0081] For ease of description, the above devices are described separately by function as various units. Of course, in implementing this application, the functions of each unit can be implemented in one or more software and / or hardware.

[0082] Those skilled in the art will understand that the embodiments of this application can be provided as methods or apparatus. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0083] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatuses, and devices according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the process.Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0084] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0085] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0086] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0087] The various embodiments in this specification are described in a progressive manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, the apparatus embodiments are basically similar to the method embodiments, so the description is relatively simple; relevant parts can be referred to the descriptions of the method embodiments.

[0088] The above description is merely an embodiment of this application and is not intended to limit the scope of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of the claims of this application.

[0089] Although embodiments of this application have been described in conjunction with the accompanying drawings, those skilled in the art can make various modifications and variations without departing from the spirit and scope of this application, and such modifications and variations all fall within the scope defined by the appended claims.

Claims

1. A simulation method for dynamic balancing of a scroll compressor shaft system, characterized in that, The method includes: Fluid dynamics analysis was performed based on the moving vortex disk model to obtain the initial triaxial gas forces; Using the initial triaxial gas force as a boundary condition, dynamic analysis was performed based on a scroll compressor model to obtain the displacement results of the moving scroll disk. The displacement results are input into the moving vortex disk model to update the position and motion state of the moving vortex disk, and the fluid dynamics analysis is performed again to obtain new triaxial gas forces. Using the new triaxial gas force as boundary condition, the scroll compressor model is dynamically balanced until the preset conditions are met, and the target dynamic balance result is obtained.

2. The method according to claim 1, characterized in that, The fluid dynamics analysis based on the moving vortex disk model, which obtains the initial triaxial gas forces, includes: Based on the geometric characteristics and motion parameters of the moving scroll disk in the scroll compressor, a structured O-type mesh moving scroll disk model is generated; the preset scroll compressor speed, inlet and outlet pressures of the moving scroll disk, and motion boundaries are input into the moving scroll disk model to perform fluid dynamics analysis and obtain the initial triaxial gas force.

3. The method according to claim 2, characterized in that, During the fluid dynamics analysis, the node positions of the structured O-type mesh are adjusted every time the moving vortex disk rotates by a preset angle.

4. The method according to claim 1, characterized in that, The dynamic vortex disk model reduces eddy viscosity using an SST limiter to perform the fluid dynamics analysis on adverse pressure gradients, separated flows, and boundary layers.

5. The method according to claim 1, characterized in that, The process of using the initial triaxial gas force as a boundary condition and performing dynamic analysis based on a scroll compressor model to obtain the displacement results of the moving scroll disk includes: The initial triaxial gas force is added as a boundary condition to the vortex compressor model; Based on the bearing condition in the scroll compressor, the bearing clearance, axial damping coefficient, bending damping coefficient, and radial damping coefficient are input into the scroll compressor model after adding boundary conditions to perform dynamic analysis and obtain the displacement result of the moving scroll disk.

6. The method according to claim 1, characterized in that, The dynamic vortex disk model adopts the Shear StressTransport turbulence model.

7. The method according to claim 1, characterized in that, The step of using the new triaxial gas force as a boundary condition to perform dynamic balance optimization on the scroll compressor model until the preset condition is met and the target dynamic balance result is obtained includes: using the new triaxial gas force as a boundary condition. The mass, installation position, installation angle, and installation position of the main and auxiliary bearings in the scroll compressor are used as design variables. The load on the main and auxiliary bearings in the scroll compressor is taken as the optimization objective, and the weight of the upper and lower balance blocks is taken as the constraint condition of the scroll compressor model. The NAGA-II multi-objective optimization algorithm was used to perform dynamic balance optimization on the scroll compressor model until the preset conditions were met, and the target dynamic balance result was obtained.

8. A dynamic balancing simulation device for a scroll compressor shaft system, characterized in that, The device includes: The gas force acquisition unit is used to perform fluid dynamics analysis based on the moving vortex disk model and obtain the initial triaxial gas force. The displacement result is obtained by using the initial triaxial gas force as a boundary condition and performing dynamic analysis based on the scroll compressor model to obtain the displacement result of the moving scroll disk. The gas force update unit is used to input the displacement results into the moving vortex disk model, update the position and motion state of the moving vortex disk, and re-perform the fluid dynamics analysis to obtain new triaxial gas forces. The dynamic balancing optimization unit is used to perform dynamic balancing optimization on the scroll compressor model using the new triaxial gas force as boundary condition until the preset condition is met and the target dynamic balancing result is obtained.

9. A computer device, characterized in that, include: The system includes a memory and a processor, which are interconnected. The memory stores computer instructions, and the processor executes the computer instructions to perform the dynamic balancing simulation method for the scroll compressor shaft system as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions for causing the computer to execute the scroll compressor shaft dynamic balancing simulation method according to any one of claims 1 to 7.

Images