Household appliance packaging cushion block optimization method and device and terminal equipment

Abstract

The invention relates to the technical field of foam optimization, and discloses a household appliance packaging cushion block optimization method, which comprises the following steps: constructing a finite element model of a household appliance; based on preset simulation software, performing drop simulation on the finite element model of the household appliance according to the target drop working condition to obtain contact forces output by the simulation software at different drop positions; determining a target load according to the contact forces output by the simulation software at different falling positions; and inputting the target load into the topological optimization mathematical model so as to optimize the structure of the household appliance packaging cushion block. According to the scheme, the representative single working condition is selected for simulation analysis, and the topological optimization mathematical model is combined, so that the optimization effect of the packaging design of the household appliance is remarkably improved, the data processing amount and the computing resource demand are effectively reduced, and the data processing efficiency is remarkably improved. The invention further discloses a household appliance packaging cushion block optimization device and terminal equipment.

Description

Technical Field

[0001] This application relates to the field of foam optimization technology, such as a method, apparatus and terminal equipment for optimizing packaging padding blocks for household appliances. Background Technology

[0002] Due to their size, weight, and materials, home appliances often face complex transportation environments and uncontrollable factors during logistics and transportation. These factors include, but are not limited to, improper handling during transport, severe jolting of transport vehicles, and potential traffic accidents, all of which can cause home appliances to experience various drop conditions. To ensure that home appliances remain intact under these unforeseen circumstances, packaging design is particularly important. Packaging design not only needs to have good protective performance but also needs to effectively absorb and disperse impact energy under various drop conditions, thereby reducing the risk of product damage.

[0003] This technology discloses a method for optimizing foam structures. Through detailed simulation calculations of multiple drop conditions on a product, the maximum load borne by the foam material under each condition is accurately obtained. Based on this simulation data, engineers can perform topology optimization of the foam structure under multiple conditions; that is, within a designable material distribution area, the structural performance is maximized by adjusting the material distribution. This method can significantly improve the drop resistance of packaging while meeting given loads, constraints, and optimization objectives.

[0004] In the process of implementing the embodiments of this disclosure, at least the following problems were found in the related art:

[0005] While related technologies have improved the packaging performance of home appliances to some extent, the diversity and complexity of drop conditions necessitate massive amounts of data and computation for simulation calculations. This results in lengthy optimization processes and high demands on computing resources. Therefore, improving data processing efficiency while ensuring optimization effectiveness has become a critical issue that existing technologies urgently need to address.

[0006] It should be noted that the information disclosed in the background section above is only used to enhance the understanding of the background of this application, and therefore may include information that does not constitute prior art known to those skilled in the art. Summary of the Invention

[0007] To provide a basic understanding of some aspects of the disclosed embodiments, a brief summary is given below. This summary is not intended as a general commentary, nor is it intended to identify key / important components or describe the scope of protection of these embodiments, but rather as a prelude to the detailed description that follows.

[0008] This disclosure provides a method, apparatus, and terminal device for optimizing packaging padding blocks for household appliances, which can improve data processing efficiency while ensuring optimization results.

[0009] In some embodiments, the method for optimizing the packaging pad of home appliances includes: constructing a finite element model of the home appliance; performing drop simulation on the finite element model of the home appliance according to the target drop conditions based on preset simulation software, so as to obtain the contact force at different drop positions output by the simulation software; determining the target load according to the contact force at different drop positions output by the simulation software; and inputting the target load into the topology optimization mathematical model to optimize the structure of the packaging pad of the home appliance.

[0010] In some embodiments, the method for optimizing the packaging pad for home appliances includes: comparing the contact forces output by simulation software at different drop positions to select the maximum contact force; and calculating the target load based on the maximum contact force and the contact area between the packaging pad and the home appliance.

[0011] In some embodiments, the method for optimizing the packaging pads for household appliances includes:

[0012]

[0013] Where P is the target load, F is the maximum contact force, and β N is the load compensation coefficient for the Nth iteration, and A is the contact area between the packaging pad and the appliance.

[0014] In some embodiments, the method for optimizing the packaging pad for home appliances includes: obtaining the compression amount at different drop positions output by simulation software; comparing the compression amounts at different drop positions output by simulation software to select the maximum compression amount output by simulation software; and determining the load compensation coefficient for the Nth iteration based on the maximum compression amount output by simulation software and the maximum compression amount of the optimized packaging pad for home appliances.

[0015] In some embodiments, the method for optimizing the packaging pad of home appliances includes: when the maximum compression output by the simulation software and the maximum compression of the optimized packaging pad of home appliances are the same, determining the load compensation coefficient for the Nth iteration as a first coefficient; when the maximum compression output by the simulation software and the maximum compression of the optimized packaging pad of home appliances are different, determining the load compensation coefficient for the Nth iteration as the quotient of the maximum compression output by the simulation software and the maximum compression of the optimized packaging pad of home appliances.

[0016] In some embodiments, the method for optimizing packaging pads for home appliances includes: obtaining the model, transportation method, and loading / unloading information of the home appliance; and determining the target drop condition based on the model, transportation method, and loading / unloading information of the home appliance.

[0017] In some embodiments, the method for optimizing the packaging pad of home appliances includes: obtaining the design variables, optimization objectives, and target constraints of a topology optimization mathematical model; inputting the target load into the topology optimization mathematical model, and iteratively solving the problem based on the design variables, optimization objectives, and target constraints of the topology optimization mathematical model to obtain the element density matrix output by the topology optimization mathematical model; and optimizing the structure of the packaging pad of home appliances according to the element density matrix output by the topology optimization mathematical model.

[0018] In some embodiments, the appliance packaging pad optimization device includes: a construction module configured to construct a finite element model of the appliance; a simulation module configured to perform drop simulation on the finite element model of the appliance based on preset simulation software and according to the target drop conditions, so as to obtain the contact force at different drop positions output by the simulation software; a determination module configured to determine the target load based on the contact force at different drop positions output by the simulation software; and an optimization module configured to input the target load into a topology optimization mathematical model to optimize the structure of the appliance packaging pad.

[0019] In some embodiments, the appliance packaging padding optimization device includes a processor and a memory storing program instructions, the processor being configured to execute the aforementioned appliance packaging padding optimization method when the program instructions are executed.

[0020] In some embodiments, the terminal device includes: a terminal device body; and the aforementioned appliance packaging padding optimization device, which is installed on the terminal device body.

[0021] The method, apparatus, and terminal equipment for optimizing packaging pads for household appliances provided in this disclosure can achieve the following technical effects:

[0022] This solution constructs a finite element model of the home appliance and, based on pre-defined simulation software, selects only a representative target drop condition for simulation analysis to determine the target load. This load is then input into a topology optimization mathematical model to optimize the packaging pad structure. This solution, by selecting a representative single-condition for simulation analysis and combining it with a topology optimization mathematical model, not only ensures a significant improvement in the optimization effect of the home appliance packaging design, reducing the weight of the packaging pad and lowering costs, but also effectively reduces the amount of data processing and computational resource requirements, significantly improving data processing efficiency. This allows for efficient operation of the optimization process while ensuring the optimization effect of the home appliance packaging pad.

[0023] The above general description and the description below are exemplary and illustrative only and are not intended to limit this application. Attached Figure Description

[0024] One or more embodiments are illustrated by way of example with reference to the accompanying drawings. These illustrations and drawings do not constitute a limitation on the embodiments. Elements having the same reference numerals in the drawings are shown as similar elements. The drawings are not to be scaled. And wherein:

[0025] Figure 1 This is a schematic diagram of an optimization method for packaging pads for household appliances provided in an embodiment of this disclosure;

[0026] Figure 2 This is a schematic diagram of a method for determining a target load provided in an embodiment of this disclosure;

[0027] Figure 3 This is a schematic diagram of a method for determining the target drop condition provided in an embodiment of this disclosure;

[0028] Figure 4 This is a schematic diagram of an optimization method for packaging pads for household appliances provided in an embodiment of this disclosure;

[0029] Figure 5 This is a schematic diagram of an optimized packaging padding device for household appliances provided in an embodiment of this disclosure;

[0030] Figure 6 This is a schematic diagram of another appliance packaging padding optimization device provided in this embodiment. Detailed Implementation

[0031] To provide a more detailed understanding of the features and technical content of the embodiments of this disclosure, the implementation of the embodiments of this disclosure will be described in detail below with reference to the accompanying drawings. The accompanying drawings are for illustrative purposes only and are not intended to limit the embodiments of this disclosure. In the following technical description, for ease of explanation, several details are used to provide a full understanding of the disclosed embodiments. However, one or more embodiments may still be implemented without these details. In other cases, well-known structures and devices may be simplified in their depiction to simplify the drawings.

[0032] The terms "first," "second," etc., used in the specification, claims, and accompanying drawings of this disclosure are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate for the embodiments of this disclosure described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion.

[0033] Unless otherwise stated, the term "multiple" means two or more.

[0034] In this embodiment of the disclosure, the character " / " indicates that the objects before and after it are in an "or" relationship. For example, A / B means: A or B.

[0035] The term "and / or" describes an association between objects, indicating that three relationships can exist. For example, A and / or B means: A or B, or A and B.

[0036] The term "correspondence" can refer to an association or binding relationship. The correspondence between A and B means that there is an association or binding relationship between A and B.

[0037] Figure 1 This is a schematic diagram of an optimized packaging padding method for household appliances provided in this embodiment; combined with Figure 1 As shown in the figure, this disclosure provides a method for optimizing packaging padding for household appliances, including:

[0038] S11, the terminal device constructs the finite element model of the home appliance.

[0039] S12, the terminal device uses preset simulation software to perform drop simulation on the finite element model of the home appliance according to the target drop conditions, so as to obtain the contact force at different drop positions output by the simulation software.

[0040] S13, the terminal device determines the target load based on the contact force at different drop positions output by the simulation software.

[0041] S14, the terminal device inputs the target load into the topology optimization mathematical model to optimize the structure of the packaging pad for home appliances.

[0042] In this embodiment of the disclosure, the terminal device refers to an electronic device with wireless connectivity. The terminal device can communicate with smart home appliances via the internet, or directly via Bluetooth, Wi-Fi, or other methods. In some embodiments, the terminal device may be, for example, a mobile device, a computer, or an in-vehicle device built into a hovercraft, or any combination thereof. Mobile devices may include, for example, mobile phones, smart home devices, wearable devices, smart mobile devices, virtual reality devices, or any combination thereof. Wearable devices may include, for example, smartwatches, smart bracelets, pedometers, etc.

[0043] In this solution, the terminal device constructs a finite element model of the home appliance, including:

[0044] The terminal device uses 3D software to create a solid model of the packaging pad for home appliances.

[0045] The terminal device imports the physical model into the simulation software for mesh generation and generates a finite element model of the home appliance.

[0046] Specifically, the terminal device uses 3D software to create a solid model of the packaging padding blocks for home appliances. This includes: using 3D software, the terminal device accurately constructs a solid model containing the packaging box and internal padding blocks based on the specific dimensions, shape, and weight of the home appliance. This model details the characteristics of the packaging materials, the shape, size, and distribution of the padding blocks. This provides a precise geometric basis for subsequent finite element simulation analysis.

[0047] Specifically, the terminal device imports the solid model into the simulation software for mesh generation and generates a finite element model of the home appliance. This includes: the terminal device imports the solid model of the packaging pad of the home appliance, created using 3D software, into the simulation analysis software, and discretizes the continuous solid model into a finite element model composed of numerous interconnected elements through mesh generation technology. This provides the necessary computational foundation for subsequent drop simulation analysis.

[0048] Furthermore, the terminal device can perform detailed drop simulation analysis on the finite element model of the home appliance based on preset simulation software. During the drop simulation, the software will perform precise dynamic response analysis on the finite element model of the home appliance according to the target drop condition. The target drop condition refers to the specific drop location and drop height. By simulating the mechanical behaviors such as collision and compression during the drop, the simulation software can output key data such as contact force and maximum compression at different drop locations.

[0049] Understandably, the determination of the target drop conditions in this case is closely related to the mechanical stress on various parts of the home appliance, which in turn is closely related to the product model and transportation method. Therefore, the target drop conditions selected will vary for different products and different transportation methods. In one example, taking a certain wall-mounted air conditioner as an example, the target drop conditions include the drop positions being precisely set to a certain position at one of the four corners, a certain position at one of the four edges, and a certain position at one of the six faces. Understandably, considering the different external damage conditions of the corners, edges, and faces of the product during actual transportation, the more severe the external damage, the higher the drop height should be set. Therefore, the drop height can be determined according to the severity of external damage. For example, the drop height for corners and edges is set to 800 mm, and the drop height for faces is set to 1000 mm. In another example, for a certain air conditioner unit, the drop position can be adjusted to a position at one of the four corners, one of the four edges, or one of the six faces. The drop height for the corners and edges is 750 mm, and the drop height for the faces is 900 mm. These settings ensure the relevance and effectiveness of the simulation analysis.

[0050] Furthermore, the terminal device determines the target load based on the contact forces at different drop positions output by the simulation software. This includes comparing the contact forces at different drop positions output by the simulation software to identify the maximum contact force. The terminal device then calculates the target load based on the maximum contact force and the contact area between the packaging pad and the appliance. This approach, by comparing and analyzing the contact forces at different drop positions output by the simulation software to identify the maximum contact force, and combining this with the contact area between the packaging pad and the appliance, accurately calculates the target load. This allows the target load determined in this way to more accurately simulate the pressure the packaging experiences during a drop, thus serving as a more effective input parameter to guide the topology optimization of the packaging pad, thereby improving the packaging's cushioning performance and structural strength. Furthermore, the terminal device can input the target load into the topology optimization mathematical model to optimize the structure of the appliance packaging pad.

[0051] The appliance packaging padding optimization method provided in this disclosure constructs a finite element model of the appliance and, based on pre-set simulation software, selects only one representative target drop condition for simulation analysis to determine the target load. This load is then input into a topology optimization mathematical model to optimize the packaging padding structure. This approach, by selecting a representative single-condition for simulation analysis and combining it with a topology optimization mathematical model, not only ensures a significant improvement in the optimization effect of appliance packaging design but also effectively reduces data processing volume and computational resource requirements, significantly improving data processing efficiency. This allows for efficient operation of the optimization process while ensuring the optimization effect of the appliance packaging padding.

[0052] Figure 2 This is a schematic diagram of a method for determining a target load provided in an embodiment of this disclosure; combined with Figure 2 As shown, optionally, in step S13, the terminal device determines the target load based on the contact force at different drop positions output by the simulation software, including:

[0053] S21, the terminal device compares the contact forces output by the simulation software at different drop positions to select the maximum contact force.

[0054] S22, the terminal equipment calculates the target load based on the maximum contact force and the contact area between the packaging pad and the appliance.

[0055] In this solution, the terminal device compares the contact forces output by the simulation software at different drop positions to select the maximum contact force. In one example, taking a certain wall-mounted air conditioner as an example, the drop positions and the contact forces obtained from drop simulation analysis are shown in Table 1 below:

[0056] Fall location Contact force Angle-1 150.89N Angle-2 580.89N Angle-3 220.4N Angle-4 145.36N Prism-1 246.78N Prism-2 149.22N Prism-3 130.68N Prism-4 210.58N Surface-1 344.61N Face-2 1068.48N Face-3 563.4N Face-4 460.28N Face-5 370.22N Face-6 658.52N

[0057] Table 1

[0058] In this way, the terminal device can compare the contact forces output by the simulation software at different drop positions to select the maximum contact force. That is, the contact force of 1068.48N at drop position surface-2 in Table 1 can be taken as the maximum contact force.

[0059] In this solution, the contact area between the packaging pad and the appliance can be obtained through various methods, including but not limited to direct measurement, geometry-based calculation, and computer-aided design. This allows the terminal device to calculate the target load by combining the maximum contact force and the contact area between the packaging pad and the appliance. Using this solution, the terminal device compares and analyzes the contact forces output by simulation software at different drop positions, identifies the maximum contact force, and, combined with the contact area between the packaging pad and the appliance, accurately calculates the target load. This allows the target load determined in this way to more accurately simulate the pressure the packaging experiences during a drop, thus serving as a more effective input parameter to guide the topology optimization of the packaging pad, thereby improving the packaging's cushioning performance and structural strength.

[0060] Optionally, S22, the terminal equipment calculates the target load based on the maximum contact force and the contact area between the packaging pad and the appliance, including:

[0061]

[0062] Where P is the target load, F is the maximum contact force, and β N Let β1 be the compensation coefficient for the load in the Nth iteration, and A be the contact area between the packaging pad and the appliance. As an example, the initial compensation coefficient β1 is 1. Thus, during the first topology optimization, the target load P is the quotient of the maximum contact force F and the contact area A between the packaging pad and the appliance. This scheme allows for the accurate calculation of the target load by combining the maximum contact force, the contact area between the packaging pad and the appliance, and the compensation coefficient.

[0063] Optionally, the load compensation coefficient for the Nth iteration is determined as follows:

[0064] The terminal device obtains the compression amount at different drop positions output by the simulation software.

[0065] The terminal device compares the compression amounts output by the simulation software at different drop positions to filter out the maximum compression amount output by the simulation software.

[0066] The terminal device determines the load compensation coefficient for the Nth iteration based on the maximum compression output by the simulation software and the maximum compression of the optimized packaging pad for home appliances.

[0067] In this solution, the terminal device can obtain the compression values ​​at different drop positions output by the simulation software and perform comparative analysis on these compression values. Specifically, the terminal device compares the compression values ​​at different drop positions to select the maximum compression value output by the simulation software. Here, the maximum compression value represents the maximum deformation that the packaging pad may experience during the drop test. In one example, taking a certain air conditioner wall-mounted unit as an example, the drop positions and the compression values ​​obtained from the drop simulation analysis are shown in Table 2 below:

[0068] Fall location Compression Angle-1 / Angle-2 7.83mm Angle-3 Angle-4 Prism-1 6.66mm Prism-2 / Prism-3 / Prism-4 Surface-1 / Face-2 9.99mm Face-3 17.01mm Face-4 / Face-5 / Face-6 /

[0069] Table 2

[0070] In this way, the terminal device can compare the compression amounts output by the simulation software at different drop positions to select the maximum compression amount. That is, the compression amount of 17.01mm at drop position surface -3 in Table 2 can be taken as the maximum compression amount. With this method, the maximum compression amount can be accurately obtained.

[0071] Furthermore, the terminal device determines the load compensation coefficient for the Nth iteration based on the maximum compression output by the simulation software and the actual maximum compression of the optimized appliance packaging pad. Using this method, the terminal device acquires and compares the compression values ​​at different drop positions output by the simulation software to select the maximum compression value. Based on the difference between this maximum compression value and the actual maximum compression of the optimized appliance packaging pad, the load compensation coefficient for the Nth iteration is accurately determined, thereby achieving gradual optimization of the packaging pad's performance and precise load compensation during drop tests.

[0072] Optionally, the terminal device determines the load compensation coefficient for the Nth iteration based on the maximum compression output by the simulation software and the optimized maximum compression of the appliance packaging pad, including:

[0073] When the maximum compression output by the simulation software and the maximum compression of the optimized packaging pad for home appliances are the same, the terminal device determines the load compensation coefficient for the Nth iteration as the first coefficient.

[0074] When the maximum compression output by the simulation software and the maximum compression of the optimized packaging pad for home appliances are different, the terminal device determines the load compensation coefficient for the Nth iteration as the quotient of the maximum compression output by the simulation software and the maximum compression of the optimized packaging pad for home appliances.

[0075] In this scheme, if the maximum compression output by the simulation software and the maximum compression of the optimized appliance packaging pad are the same, no adjustment of the compensation coefficient is required. Therefore, the terminal device determines the load compensation coefficient for the Nth iteration as the first coefficient, which is 1. However, if the maximum compression output by the simulation software and the maximum compression of the optimized appliance packaging pad are different, the terminal device determines the load compensation coefficient for the Nth iteration as the quotient of the maximum compression output by the simulation software and the maximum compression of the optimized appliance packaging pad. That is, the load compensation coefficient β for the Nth iteration is... N = Maximum compression amount D0 output by the simulation software ÷ Maximum compression amount D1 of the optimized packaging pad for home appliances. Using this method, by comparing the maximum compression amount output by the simulation software with the actual maximum compression amount of the optimized packaging pad, the load compensation coefficient is accurately determined: when they are equal, the initial first coefficient is directly used as the compensation coefficient for the Nth iteration to ensure consistency. When they are unequal, the compensation coefficient is dynamically adjusted by calculating the ratio of the simulation output compression amount to the actual compression amount, thereby effectively ensuring the accuracy of the compensation coefficient and improving the precision and reliability of home appliance packaging design.

[0076] Figure 3 This is a schematic diagram of a method for determining the target drop condition provided in an embodiment of this disclosure; combined with Figure 3 As shown, the target drop condition can optionally be determined in the following ways:

[0077] S31, the terminal device obtains the model, transportation method and loading and unloading information of the home appliance.

[0078] S32, the terminal equipment determines the target drop condition based on the model of the home appliance, the transportation method, and the loading and unloading information.

[0079] Understandably, the target drop conditions selected will vary depending on the product, transportation mode, and loading / unloading situation. Transportation modes include land, water, and air transport. Each mode further includes different transport vehicles and routes. For example, land transport may involve trains on railways or trucks on roads. Water transport may involve ships on rivers or ocean-going vessels. Air transport may involve airplanes. The drop conditions faced by different transportation modes also differ. Furthermore, the loading / unloading information and model of the home appliance will also influence the selection of the most representative target drop conditions. This loading / unloading information includes the loading / unloading location and height.

[0080] Specifically, the terminal device can pre-store the most representative drop conditions corresponding to different home appliance models, transportation methods, and loading / unloading information. This correspondence is derived from a large amount of experimental data and practical experience, possessing high accuracy and practicality. Thus, after acquiring the home appliance model, transportation method, and loading / unloading information, the terminal device can perform matching based on the pre-stored correspondence. Here, when matching a target drop condition, the terminal device comprehensively considers the home appliance model, transportation method, and loading / unloading information, comparing and analyzing them with the pre-stored drop conditions. Through intelligent algorithms and data processing technology, the terminal device can quickly determine the drop condition that best matches the current situation, thereby ensuring the accuracy and effectiveness of the drop test. With this solution, the terminal device intelligently matches the most representative pre-stored drop condition data based on the home appliance model, transportation method, and loading / unloading information, thereby accurately determining the target drop condition and effectively improving the targeting and accuracy of the drop test.

[0081] Figure 4 This is a schematic diagram of an optimized packaging padding method for household appliances provided in this embodiment; combined with Figure 4 As shown, optionally, in S14, the terminal device inputs the target load into the topology optimization mathematical model to optimize the structure of the appliance packaging pad, including:

[0082] S41, the terminal device obtains the design variables, optimization objectives, and objective constraints of the topology optimization mathematical model.

[0083] S42, the terminal device inputs the target load into the topology optimization mathematical model, and iteratively solves the problem based on the design variables, optimization objectives and target constraints of the topology optimization mathematical model to obtain the unit density matrix output by the topology optimization mathematical model.

[0084] S43, the terminal device optimizes the structure of the packaging pad for home appliances based on the unit density matrix output by the topology optimization mathematical model.

[0085] In this scheme, the terminal device can be equipped with OptiStruct as finite element structural analysis and optimization software. Specifically, a hypothetical material with variable density, whose density X value continuously varies between 0 and 1, can be used to simulate the distribution changes of the material during the optimization process. That is, the element density matrix X... e The range of values ​​for is 0 ≤ X e ≤1. Subsequently, the continuous structure of the appliance packaging pad is discretized using the finite element analysis method, forming a model composed of multiple finite element elements. In this way, the density of each element can be used as a design variable for the topology optimization mathematical model, allowing for adjustment during the optimization process.

[0086] Optionally, based on this model, the minimum structural deformation strain energy C can be defined as the optimization objective. The expression for the optimization objective is:

[0087]

[0088] Where C is the structural deformation strain energy, K is the stiffness matrix, and U is the displacement vector.

[0089] Specifically, the displacement vector U can be calculated using the following formula:

[0090]

[0091] Where U is the displacement vector, P is the target load, A is the contact area between the packaging pad and the appliance, and K is the stiffness matrix. Here, the stiffness matrix K is the set of stiffness matrices of all elements, and the displacement vector U is the variable to be solved, reflecting the deformation of the appliance structure under the target load.

[0092] Preferably, the terminal device can also define a volume fraction constraint. Specifically, the expression for the volume fraction constraint is:

[0093] V≤V *

[0094] Where V is the optimized structural volume, V * V is the upper limit of volume. * The initial structural volume is set to 0.7 × 30%. By setting the optimized structural volume V to be less than or equal to 30% of the initial volume as a volume fraction constraint, it is ensured that the optimized design meets both performance requirements and is economical and practical. This constraint helps avoid overly complex structural designs and reduces costs.

[0095] In this scheme, the target constraints include limit member size constraints. Specifically, to ensure that the structural design of the terminal equipment does not contain difficult-to-manufacturable small ribs or wormholes, and to improve design convenience, the cross-sectional area of ​​the ribs can be maximized. Simultaneously, to clarify design standards, a suitable minimum member size of 40mm and a maximum member size of 80mm can be defined. These values ​​are selected based on in-depth analysis and proportional scaling of the unit dimensions of a simulation model of a wall-mounted air conditioner's foam packaging. By constraining the minimum member size, the dimensions of small structural features can be effectively controlled; by constraining the maximum member size, excessive material concentration can be eliminated. This effectively ensures that the design satisfies both manufacturing feasibility and structural stability and efficiency.

[0096] In this scheme, the target constraints include draft constraints. Specifically, given the significant impact of draft constraints on the density distribution of the foam structure, the density of the foam structure is chaotic and the rib shapes vary under unconstrained conditions. However, after applying draft constraints, the density distribution of the structure becomes more regular, and the rib trends are more uniform, thus improving the efficiency of mold opening and demolding. Therefore, for a typical bowl-shaped packaging foam of a wall-mounted air conditioner, the direction from the inner circumference to the outer circumference can be selected as the draft direction, and the inner circumference can be determined as the loading surface to apply the necessary load; the outer circumference serves as the boundary constraint surface to keep the foam stationary, ensuring the accuracy and efficiency of the drafting process.

[0097] This approach uses limit member size constraints to prevent excessively small structural features from appearing in the optimization results, which could affect manufacturing feasibility. Draft constraints ensure that the optimized structure meets the requirements of mold manufacturing and demolding, thereby improving production efficiency and product quality. Through these comprehensive considerations, the terminal equipment can obtain the design variables, optimization objectives, and objective constraints of the topology optimization mathematical model comprehensively and accurately, laying a solid foundation for subsequent optimization calculations.

[0098] Furthermore, the terminal device can input the target load into the topology optimization mathematical model. This model is based on element density as a design variable, minimizing structural deformation strain energy as the optimization objective, and volume fraction constraints, limit member size constraints, and draft constraints as target constraints. Through an iterative solution process, the element density matrix is ​​continuously optimized. Specifically, after initializing the element density matrix X0, finite element analysis is used to solve for the displacement vector U and calculate the structural deformation strain energy C based on the input target load P and the current element density matrix X. In each iteration, the element density matrix X is updated according to the target constraints to reduce the structural deformation strain energy C. This process continues until the change in structural deformation strain energy C is less than a preset threshold or a preset maximum number of iterations is reached. In one example, the preset threshold can be 0.003. Thus, the terminal device can obtain the element density matrix X output by the topology optimization mathematical model. e .

[0099] Furthermore, the terminal device can utilize the cell density matrix X output by the topology optimization mathematical model. e The structure of packaging pads for home appliances can be optimized. Specifically, this can be based on X... e The matrix generates a geometric model of the optimized packaging pad structure, which can intuitively show the optimized material distribution.

[0100] In one optimized approach, the terminal device can also perform finite element analysis on the optimized structure to ensure that it meets design goals such as lightweighting, strength, and stability, while also satisfying constraints such as volume fraction and manufacturing feasibility. This approach achieves a dual optimization and balance between design performance and actual manufacturing requirements.

[0101] In one optimized approach, the terminal device makes necessary fine-tuning to the optimization results based on the analysis results and the specific needs of actual manufacturing and use, so as to ensure that the final design is both efficient and practical, perfectly matching the actual production and application scenarios.

[0102] Figure 5 This is a schematic diagram of an optimized packaging padding device for household appliances provided in an embodiment of this disclosure; combined with Figure 5 As shown in the figure, an embodiment of this disclosure provides a device 200 for optimizing packaging pads for household appliances, including a construction module 51, a simulation module 52, a determination module 53, and an optimization module 54. The construction module 51 is configured to construct a finite element model of the household appliance; the simulation module 52 is configured to perform drop simulation on the finite element model of the household appliance based on preset simulation software and according to the target drop conditions, so as to obtain the contact force at different drop positions output by the simulation software; the determination module 53 is configured to determine the target load based on the contact force at different drop positions output by the simulation software; the optimization module 54 is configured to input the target load into the topology optimization mathematical model to optimize the structure of the packaging pads for household appliances.

[0103] The appliance packaging pad optimization device 200 provided in this embodiment constructs a finite element model of the appliance and, based on preset simulation software, selects only one representative target drop condition for simulation analysis to determine the target load. This load is then input into the topology optimization mathematical model, thereby optimizing the packaging pad structure. This approach, by selecting a representative single-condition for simulation analysis and combining it with the topology optimization mathematical model, not only ensures a significant improvement in the optimization effect of appliance packaging design but also effectively reduces data processing volume and computational resource requirements, significantly improving data processing efficiency. This allows for efficient operation of the optimization process while ensuring the optimization effect of the appliance packaging pad.

[0104] Figure 6 This is a schematic diagram of another optimized packaging padding device for household appliances provided in this disclosure embodiment; combined with Figure 6As shown, this embodiment of the disclosure provides a device 300 for optimizing packaging padding in household appliances, including a processor 301 and a memory 302. Optionally, the device 300 may further include a communication interface 303 and a bus 304. The processor 301, communication interface 303, and memory 302 can communicate with each other via the bus 304. The communication interface 303 can be used for information transmission. The processor 301 can call logical instructions in the memory 302 to execute the device optimization method for packaging padding in the above embodiment.

[0105] Furthermore, the logic instructions in the aforementioned memory 302 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium.

[0106] The memory 302, as a computer-readable storage medium, can be used to store software programs and computer-executable programs, such as program instructions / modules corresponding to the methods in the embodiments of this disclosure. The processor 301 executes functional applications and data processing by running the program instructions / modules stored in the memory 302, thereby implementing the home appliance packaging pad optimization method in the above embodiments.

[0107] The memory 302 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 terminal device. Furthermore, the memory 302 may include high-speed random access memory and may also include non-volatile memory.

[0108] This disclosure provides a terminal device, including: a terminal device body and the aforementioned appliance packaging padding optimization device 200 (300). The appliance packaging padding optimization device 200 (300) is installed on the terminal device body. The installation relationship described herein is not limited to placement inside the terminal device body, but also includes installation connections with other components of the terminal device, including but not limited to physical connections, electrical connections, or signal transmission connections. Those skilled in the art will understand that the appliance packaging padding optimization device 200 (300) can be adapted to feasible terminal device bodies to achieve other feasible embodiments.

[0109] This disclosure provides a computer-readable storage medium storing computer-executable instructions configured to perform the above-described optimization method for packaging pads for household appliances.

[0110] The technical solutions of this disclosure can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes one or more instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the method described in this disclosure. The aforementioned storage medium can be a non-transitory storage medium, such as a USB flash drive, external hard drive, read-only memory (ROM), random access memory (RAM), magnetic disk, or optical disk, etc., and other media capable of storing program code.

[0111] The foregoing description and accompanying drawings fully illustrate embodiments of this disclosure to enable those skilled in the art to practice them. Other embodiments may include structural, logical, electrical, procedural, and other changes. The embodiments represent only possible variations. Individual components and functions are optional unless explicitly required, and the order of operation may vary. Parts and features of some embodiments may be included in or replace parts and features of other embodiments. Moreover, the terminology used in this application is for describing embodiments only and is not intended to limit the claims. As used in the description of embodiments and claims, the singular forms “a,” “an,” and “the” are intended to equally include the plural forms unless the context clearly indicates otherwise. Similarly, the term “and / or” as used in this application means including one or more of the associated listed items and all possible combinations thereof. Additionally, when used in this application, the term "comprise" and its variations "comprises" and / or "comprising" refer to the presence of stated features, integrals, steps, operations, elements, and / or components, but do not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components, and / or groups thereof. Without further limitations, an element defined by the phrase "comprises a..." does not exclude the presence of other identical elements in the process, method, or apparatus that includes said element. In this document, each embodiment may focus on the differences from other embodiments, and similar or identical parts between embodiments can be referred to mutually. For methods, products, etc., disclosed in the embodiments, if they correspond to the method section disclosed in the embodiments, the relevant parts can be referred to the description of the method section.

[0112] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the embodiments of this disclosure. Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0113] The methods and products (including but not limited to devices and equipment) disclosed in the embodiments herein can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For instance, the division of units may be merely a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the shown or discussed units may be through some interfaces, and the indirect coupling or communication connection between devices or units may be electrical, mechanical, or other forms. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of the units may be selected to implement this embodiment according to actual needs. Furthermore, the functional units in the embodiments of this disclosure may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0114] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to embodiments of this disclosure. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. In some alternative implementations, the functions marked in the blocks may occur in a different order than that shown in the drawings. For example, two consecutive blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. In the descriptions corresponding to the flowcharts and block diagrams in the accompanying drawings, the operations or steps corresponding to different blocks may also occur in a different order than disclosed in the description, and sometimes there is no specific order between different operations or steps. For example, two consecutive operations or steps may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. Each block in a block diagram and / or flowchart, and combinations of blocks in a block diagram and / or flowchart, can be implemented using a dedicated hardware-based system that performs the specified function or action, or using a combination of dedicated hardware and computer instructions.

Claims

1. An optimized method for padding blocks in household appliance packaging, characterized in that, include: Constructing finite element models of home appliances; Based on the preset simulation software, drop simulation is performed on the finite element model of the home appliance according to the target drop conditions, so as to obtain the contact force at different drop positions output by the simulation software. The target load is determined based on the contact force at different drop positions output by the simulation software. The target load is input into the topology optimization mathematical model to optimize the structure of the packaging pad for home appliances.

2. The method according to claim 1, characterized in that, Based on the contact forces at different drop locations output by the simulation software, the target load is determined, including: The contact forces output by the simulation software at different drop locations are compared to filter out the maximum contact force. Calculate the target load based on the maximum contact force and the contact area between the packaging pad and the appliance.

3. The method according to claim 2, characterized in that, Calculate the target load based on the maximum contact force and the contact area between the packaging pad and the appliance, including: Where P is the target load, F is the maximum contact force, and β N is the load compensation coefficient for the Nth iteration, and A is the contact area between the packaging pad and the appliance.

4. The method according to claim 3, characterized in that, The load compensation coefficient for the Nth iteration is determined as follows: Obtain the compression amount at different drop positions output by the simulation software; By comparing the compression values ​​output by the simulation software at different drop positions, the maximum compression value output by the simulation software can be selected. Based on the maximum compression output of the simulation software and the maximum compression of the optimized packaging pad for home appliances, the load compensation coefficient for the Nth iteration is determined.

5. The method according to claim 4, characterized in that, Based on the maximum compression output by the simulation software and the optimized maximum compression of the appliance packaging pad, the load compensation coefficient for the Nth iteration is determined, including: When the maximum compression output by the simulation software and the maximum compression of the optimized packaging pad for home appliances are the same, the load compensation coefficient for the Nth iteration is determined to be the first coefficient. When the maximum compression output by the simulation software and the maximum compression of the optimized packaging pad for home appliances are different, the load compensation coefficient for the Nth iteration is determined to be the quotient of the maximum compression output by the simulation software and the maximum compression of the optimized packaging pad for home appliances.

6. The method according to claim 1, characterized in that, The target drop condition is determined using the following methods: Obtain information on the model, transportation method, and loading / unloading of home appliances; Based on the model of the household appliance, the mode of transportation, and the loading and unloading information, determine the target drop conditions.

7. The method according to claim 1, characterized in that, The target load is input into the topology optimization mathematical model to optimize the structure of the packaging pad for home appliances, including: Obtain the design variables, optimization objectives, and objective constraints of the topology optimization mathematical model; The target load is input into the topology optimization mathematical model, and the design variables, optimization objectives and target constraints of the topology optimization mathematical model are used for iterative solution to obtain the element density matrix output by the topology optimization mathematical model. The structure of the packaging pad for home appliances is optimized based on the unit density matrix output by the topology optimization mathematical model.

8. A device for optimizing packaging padding for household appliances, characterized in that, include: The building module is configured to build finite element models of home appliances. The simulation module is configured to perform drop simulations on the finite element model of the home appliance based on the preset simulation software and the target drop conditions, so as to obtain the contact force at different drop positions output by the simulation software. The determination module is configured to determine the target load based on the contact force at different drop positions output by the simulation software; The optimization module is configured to input the target load into the topology optimization mathematical model to optimize the structure of the appliance packaging pad.

9. A device for optimizing packaging padding for household appliances, comprising a processor and a memory storing program instructions, characterized in that, The processor is configured to execute the appliance packaging pad optimization method as described in any one of claims 1 to 7 when running the program instructions.

10. A terminal device, characterized in that, include: Terminal device body; The appliance packaging padding optimization device as described in claim 8 or 9 is installed on the terminal device body.

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