Package shaping method, device and equipment and storage medium

Abstract

The invention provides a package shaping method and device, equipment and a storage medium, and the method comprises the steps: firstly obtaining the weight of a target product and a plurality of shape buffer parameters of paper plastic, and then updating an initial model by repeatedly updating the weight of the target product and one of the plurality of shape buffer parameters of the target product, a plurality of finite element models are obtained, a target minimum ground clearance and a target gravitational acceleration multiple of a product under each falling working condition are determined based on the models, then an optimal target weight and a paper-plastic target shape buffer value are determined according to performance targets, and finally a packaging model meeting requirements is established based on all determined parameters. Therefore, the problems that a traditional method depends on artificial experience and is low in iteration efficiency are effectively solved, and rapid, accurate and automatic shaping of package design is achieved.

Description

Technical Field

[0001] This application relates to the field of packaging design technology, and in particular to a packaging shaping method, apparatus, equipment and storage medium. Background Technology

[0002] In the field of electronic product packaging design, a balance must be struck between protective performance and cost control. Currently, the design process for such packaging structures typically begins with designers setting a series of structural parameters based on their experience. Subsequently, computer software is used to create a corresponding 3D model and conduct simulation tests to evaluate its protective effectiveness. If the test results are unsatisfactory, designers need to manually adjust the parameters and repeat the modeling and testing cycle, often requiring multiple iterations. This method relies heavily on personal experience and judgment, resulting in a long design cycle and uncertainty regarding the performance and cost optimization of the final solution. Summary of the Invention

[0003] This application provides a packaging shaping method, apparatus, device, and storage medium to at least solve the above-mentioned technical problems existing in the prior art.

[0004] A first aspect of this application is a packaging shaping method, comprising: Obtain the weight of the target product and multiple shape buffer parameters of the paper-plastic composite; By repeatedly updating the weight of the target product and one of the multiple shape buffer parameters of the target product, the initial model is updated to obtain multiple finite element models; Based on the multiple finite element models, the minimum ground clearance and the target gravitational acceleration multiple of the target product under various drop conditions are determined. Based on the target minimum ground clearance and target gravitational acceleration multiple of the target product, determine the target weight and the target shape buffer value of the paper-plastic composite. A packaging model is established based on the target minimum ground clearance, target gravitational acceleration multiple, target weight, target shape buffer value of paper-plastic composite, and the external dimension parameters of the target product.

[0005] In one possible implementation, the shape buffer parameters of the paper-plastic include at least one of the following: paper-plastic thickness, paper-plastic length buffer, width buffer, and height buffer; The initial model is updated by repeatedly updating the weight of the target product and one of the multiple shape buffer parameters of the target product, resulting in multiple finite element models, including: Using the weight, paper-plastic thickness, paper-plastic length buffer, width buffer, and height buffer of the target product as single variables, the initial model is updated within a preset value range of the single variable according to a preset increment step to obtain multiple finite element models. The number of finite element models is determined by the preset value range and preset increment step of each individual variable.

[0006] In one possible implementation, obtaining multiple finite element models includes: Determine the initial parameter values ​​for the weight and shape buffer parameters; Within the preset value range of the single variable, multiple parameter values ​​are sequentially taken according to a preset increment step. For each parameter value, keep the other parameters at the initial parameter values, update the parameters of the initial model, and generate the corresponding finite element model.

[0007] In one possible implementation, determining the minimum ground clearance and the target gravitational acceleration multiple of the target product under various drop conditions based on the plurality of finite element models includes: Based on the multiple finite element models, the first minimum ground clearance and the first gravitational acceleration multiple of the target product under various drop conditions are obtained through simulation calculations. Based on the first minimum ground clearance and the first gravitational acceleration multiple, a comprehensive calculation equation is established for each drop condition. Based on the comprehensive calculation equation, the second minimum ground clearance and the second gravitational acceleration multiple of the target product under each drop condition are calculated. The second minimum ground clearance and the second gravitational acceleration multiple are compared with the corresponding preset thresholds to obtain the target minimum ground clearance and the target gravitational acceleration multiple.

[0008] In one possible implementation, establishing a comprehensive calculation equation for each drop condition based on the first minimum ground clearance and the first gravitational acceleration factor includes: Based on the first minimum ground clearance and the first gravitational acceleration factor, a fitting curve is generated between each parameter and the first minimum ground clearance and the first gravitational acceleration factor; Based on the fitted curves, multiple fitting equations corresponding to each fitted curve are obtained; Based on multiple fitting equations for various drop conditions, a comprehensive calculation equation for each drop condition is established.

[0009] In one possible implementation, establishing a packaging model based on the target minimum ground clearance, the target gravitational acceleration multiple, the target weight, the target shape buffer value of the paper-plastic composite, and the external dimensional parameters of the target product includes: Based on the external dimensional parameters of the target product, the basic receiving cavity of the packaging model is constructed; Based on the target shape buffer value of the paper-plastic composite, a buffer structure is constructed in the corner area of ​​the basic receiving cavity; Based on the target's minimum ground clearance and the target's gravitational acceleration multiple, verify whether the buffer structure meets the preset protection requirements; When the verification passes, a packaged model containing the buffer structure is generated.

[0010] In one possible implementation, the method further includes: The established packaging model was simulated and analyzed to obtain the simulation results of the paper-plastic cushioning performance; Based on the simulation results of the paper-plastic cushioning performance, the packaging model is iteratively optimized to obtain an optimized packaging model.

[0011] A second aspect of this application provides a packaging shaping device, comprising: The acquisition module is used to acquire the weight of the target product and multiple shape buffer parameters of the paper-plastic composite. A building module is used to construct multiple finite element models by changing only one parameter of the weight or the plurality of shape buffer parameters each time. The simulation module is used to determine the minimum ground clearance and the target gravitational acceleration multiple of the target product under various drop conditions based on the multiple finite element models. The determination module is used to determine the target weight and the target shape buffer value of the paper-plastic based on the target minimum ground clearance and the target gravitational acceleration multiple of the target product. A module is established to create a packaging model based on the target's minimum ground clearance, target gravitational acceleration multiple, target weight, target shape buffer value of paper-plastic composite, and the external dimension parameters of the target product.

[0012] A third aspect of this application provides an electronic device comprising: At least one processor; and A memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor to enable the at least one processor to perform the method described in this application.

[0013] A fourth aspect of this application provides a non-transitory computer-readable storage medium storing computer instructions for causing the computer to perform the methods described in this application.

[0014] The packaging design finalization method, apparatus, equipment, and storage medium of this application first obtain the weight of the target product and multiple shape buffer parameters of the paper-plastic composite. Then, by repeatedly updating the weight of the target product and one of the multiple shape buffer parameters, the initial model is updated to obtain multiple finite element models. Based on these models, the target minimum ground clearance and target gravitational acceleration multiple of the product under various drop conditions are determined. Next, based on these performance targets, the optimal target weight and target shape buffer value of the paper-plastic composite are determined. Finally, a packaging model that meets the requirements is established based on all determined parameters. In this way, the problems of traditional methods relying on manual experience and low iteration efficiency are effectively overcome, and rapid, accurate, and automated packaging design finalization is achieved.

[0015] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of this application, nor is it intended to limit the scope of this application. Other features of this application will become readily apparent from the following description. Attached Figure Description

[0016] The above and other objects, features, and advantages of exemplary embodiments of this application will become readily apparent from the following detailed description taken in conjunction with the accompanying drawings. Several embodiments of this application are illustrated in the drawings by way of example and not limitation, in which: In the accompanying drawings, the same or corresponding reference numerals indicate the same or corresponding parts.

[0017] Figure 1 This paper illustrates the implementation flow of the packaging shaping method according to an embodiment of the present application. Figure 1 ; Figure 2 This paper illustrates the implementation flow of the packaging shaping method according to an embodiment of the present application. Figure 2 ; Figure 3 This paper illustrates the implementation flow of the packaging shaping method according to an embodiment of the present application. Figure 3 ; Figure 4 This paper illustrates the implementation flow of the packaging shaping method according to an embodiment of the present application. Figure 4 ; Figure 5 A schematic diagram of a fitting curve for a packaging shaping method according to an embodiment of this application is shown; Figure 6 This illustration shows another fitting curve diagram of the packaging shaping method according to an embodiment of this application; Figure 7 This paper illustrates the implementation flow of the packaging shaping method according to an embodiment of the present application. Figure 5 ; Figure 8 A schematic diagram of the packaging shaping device according to an embodiment of this application is shown; Figure 9 A schematic diagram of the composition structure of an electronic device according to an embodiment of this application is shown. Detailed Implementation

[0018] To make the objectives, features, and advantages of this application more apparent and understandable, the technical solutions in the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0019] The following description, in conjunction with the accompanying drawings, introduces a packaging shaping method, apparatus, equipment, and storage medium provided in this application.

[0020] The packaging shaping method provided in this application can be implemented by an electronic device; that is, the executing entity of the packaging shaping method can be an electronic device. The electronic device can be a smart terminal or a server; wherein, the smart terminal can be a mobile phone, a personal digital assistant (PAD), a tablet computer, a laptop computer, a desktop computer, etc. The server can be an independent physical server, a server cluster or distributed system composed of multiple physical servers, or a cloud server providing basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, content delivery network (CDN) services, and big data and artificial intelligence platforms.

[0021] This application provides a packaging shaping method, such as Figure 1 As shown, it includes: Step 101: Obtain the weight of the target product and multiple shape buffer parameters of the paper-plastic composite.

[0022] In this example, the target product refers to a laptop or other fragile item to be packaged, and its weight is a key physical property affecting the kinetic energy of a drop impact. The multiple shape cushioning parameters of the paper-plastic composite refer to a series of dimensional variables used to define the geometry of the paper-plastic cushioning component. These parameters directly determine the energy absorption capacity and protective performance of the cushioning component. The weight and shape cushioning parameters are obtained from a pre-stored product design database, such as reading the product weight from a project planning table and calling the shape cushioning parameters from a standardized cushioning parameter library, to achieve standardized and efficient data input.

[0023] Step 102: Update the initial model by updating the weight of the target product and one of the multiple shape buffer parameters of the target product multiple times to obtain multiple finite element models.

[0024] In this example, multiple finite element models are generated by repeatedly updating individual parameters (such as thickness or length buffering) in the weight or shape buffering parameters of the target product, while iteratively modifying the initial model. The initial model refers to the basic finite element model built based on baseline parameters. A finite element model is a virtual simulation model based on mathematical discretization used to simulate the physical drop process. This update method isolates the influence of individual variables on buffering performance, thereby allowing analysis of the quantitative relationship between parameters and performance.

[0025] Step 103: Based on the multiple finite element models, determine the minimum ground clearance and the target gravitational acceleration multiple of the target product under various drop conditions.

[0026] In this example, the target minimum ground clearance refers to the minimum safe distance between the product and the ground during a drop test, used to prevent damage from impact. The target gravitational acceleration multiple (G-value) is the ratio of the maximum impact acceleration the product can withstand to the gravitational acceleration, used to assess the impact force on internal components. Based on multiple finite element models, data is extracted through simulation calculations, and fitting analysis and other methods are used to determine the target minimum ground clearance and target gravitational acceleration multiple of the target product under various drop conditions, ensuring that the packaging design meets the safety requirements of all drop conditions (such as corner drops, edge drops, etc.).

[0027] Step 104: Based on the target minimum ground clearance and target gravitational acceleration multiple of the target product, determine the target weight and the target shape buffer value of the paper-plastic composite.

[0028] In this example, the target weight and the target shape buffer value of the paper-plastic composite are the optimal parameter combinations determined after optimization and screening. There are multiple parameter combinations that satisfy the same set of performance requirements (i.e., the minimum ground clearance of the target and the target gravitational acceleration multiple). The optimal solution is selected from the effective parameter combinations through preset optimization rules (such as the lowest cost, the most material-efficient, or the most balanced performance) to ensure that the target weight and the target shape buffer value of the paper-plastic composite meet safety requirements while also taking into account economy and feasibility.

[0029] Step 105: Based on the target minimum ground clearance, target gravitational acceleration multiple, target weight, target shape buffer value of paper-plastic composite, and the external dimension parameters of the target product, establish a packaging model.

[0030] In this example, the packaging model refers to a three-dimensional digital model generated using computer-aided design (CAD) software. The external dimensions of the target product are used to define the basic outline of the cavity containing the packaging model; the target shape buffer values ​​of the paper-plastic composite are used to construct the specific buffer structure (such as a V-shaped structure); and the target minimum ground clearance and gravitational acceleration multiple serve as verification benchmarks to ensure that the model design meets the protection requirements, thereby outputting a digital model that can be directly used for production.

[0031] The packaging design finalization method of this application first obtains the weight of the target product and multiple shape buffer parameters of the paper-plastic composite. Then, it updates the initial model by repeatedly updating the weight of the target product and one of the multiple shape buffer parameters, resulting in multiple finite element models. Based on these models, it determines the target minimum ground clearance and target gravitational acceleration multiple of the product under various drop conditions. Next, based on these performance targets, it determines the optimal target weight and target shape buffer values ​​of the paper-plastic composite. Finally, it establishes a packaging model that meets the requirements based on all determined parameters. In this way, it achieves rapid optimization and accurate finalization of packaging design, significantly improving design efficiency and reliability.

[0032] In one example, the shape buffer parameters of the paper-plastic composite include at least one of the following: paper-plastic composite thickness, paper-plastic composite length buffer, width buffer, and height buffer; the process of updating the initial model by repeatedly updating the weight of the target product and one of the multiple shape buffer parameters of the target product to obtain multiple finite element models includes: taking the weight of the target product, paper-plastic composite thickness, paper-plastic composite length buffer, width buffer, and height buffer as single variables, and updating the initial model within a preset value range of the single variable according to a preset increment step to obtain multiple finite element models; wherein, the number of finite element models is determined by the preset value range and preset increment step of each single variable.

[0033] In this example, paper-plastic thickness refers to the thickness of the paper-plastic material that constitutes the cushioning component, which mainly affects its overall stiffness and crush resistance. Paper-plastic length cushioning, width cushioning, and height cushioning refer to the additional dimensional increments of the paper-plastic structure in the length, width, and height directions of the target product, which are specially designed to provide cushioning and exceed the basic coverage of the product. These dimensions together determine the size and shape of the cushioning cavity, thereby directly affecting its energy absorption characteristics and support stability under impact from drops in different directions.

[0034] Subsequently, using the controlled variable method, key parameters such as the target product's weight, paper-plastic thickness, length buffer, width buffer, and height buffer were treated as individual variables. Within a pre-defined reasonable value range for each variable, these parameters were varied sequentially at preset increments. Each variation changed only one variable, and the initial model was parametrically updated based on this, thereby generating a new finite element model with a specific combination of parameters.

[0035] In one example, multiple finite element models are obtained, such as... Figure 2 As shown, it includes: Step 201: Determine the initial parameter values ​​for the weight and shape buffer parameters.

[0036] In this example, the initial parameter values ​​refer to a set of specific values ​​used as a benchmark, typically determined based on typical products or historical design experience. For example, the weight of an existing model (e.g., 1.57 kg) and its corresponding paper-plastic thickness (e.g., 1 mm), length buffer (e.g., 24.8 mm), width buffer (e.g., 19.3 mm), and height buffer (e.g., 24.7 mm) can be selected as initial values.

[0037] Step 202: Within the preset value range of the single variable, take multiple parameter values ​​sequentially according to the preset increment step.

[0038] In this example, the preset value range refers to a reasonable numerical interval pre-defined for each individual variable (such as weight, thickness, etc.), for example, a weight range of 0.97-3.17 kg. The preset increment step is the increment of change when updating the parameter within this range, for example, weight increments in increments of 0.2 kg. By taking values ​​sequentially according to the increment step (such as weight sequentially taking values ​​of 0.97, 1.17, 1.37... up to 3.17 kg), the entire value range of the variable can be systematically and at equal intervals.

[0039] Step 203: For each parameter value, keep the other parameters as the initial parameter values, update the parameters of the initial model, and generate the corresponding finite element model.

[0040] In this example, for each parameter value extracted (e.g., a new weight value), when generating a new model, it is ensured that all other parameters (thickness, length buffer, etc.) remain unchanged from their initial values. Then, based on this specific combination of parameters, a parameter-driven update is performed on the initial model to generate a corresponding new finite element model.

[0041] Specifically, the implementation process of this step will be described in detail through the following example: The initial parameter values, preset value ranges, and preset increment steps for each variable—weight, paper-plastic thickness, paper-plastic length buffer, width buffer, and height buffer—can be determined based on the project planning table. Details are as follows: The target product's weight is preset to range from 0.97 to 3.17 kg, with a preset increment of 0.2 kg. The weight variation logic is as follows: starting from 0.97 kg, a new finite element model is built for every 0.2 kg increase (e.g., 0.97 kg, 1.17 kg…3.17 kg), while other paper-plastic parameters remain fixed at baseline values. This results in 12 finite element models.

[0042] The preset range for paper-plastic thickness is 0.8-1.5mm, with a preset increment of 0.1mm. The logic for varying the paper-plastic thickness is as follows: starting from 0.8mm, a new finite element model is built for every 0.1mm increase (e.g., 0.8mm, 0.9mm…1.5mm), while the product weight and other paper-plastic parameters remain constant. This results in 8 finite element models.

[0043] The preset value range for the length buffer is 20.8-30.8mm, with a preset increment of 2mm. The logic for changing the length buffer is as follows: starting from 20.8mm, a new finite element model is built for every 2mm increase (e.g., 20.8mm, 22.8mm…30.8mm), while other parameters remain fixed. This results in 6 finite element models.

[0044] The preset range for the width buffer is 15.3-29.3mm, with a preset increment of 2mm. The logic for changing the width buffer is as follows: starting from 15.3mm, a new finite element model is built for every 2mm increase (e.g., 15.3mm, 17.3mm…29.3mm), while other parameters remain fixed. This results in 8 finite element models.

[0045] The preset value range for the height buffer is 20.7-32.7mm, with a preset increment of 2mm. The logic for changing the height buffer is as follows: starting from 20.7mm, a new finite element model is built for every 2mm increase (e.g., 20.7mm, 22.7mm…32.7mm), while other parameters remain fixed. This results in 7 finite element models.

[0046] Therefore, this example establishes a total of 41 finite element models, and each finite element model calculates 8 drop conditions, resulting in a total of 328 simulation analyses. Then, the minimum ground clearance and the target gravitational acceleration multiple, i.e., the maximum G value, of the target product under each variable are extracted.

[0047] It should be understood that the types of changeable parameters, preset value ranges, and preset increment steps described above are merely illustrative examples, intended to clearly illustrate the implementation of the present invention, and not to constitute any limitation on the scope of protection of this application.

[0048] In this application, each finite element model reflects the effect of only one variable, allowing direct observation of the correlation between variable changes and buffer performance. For example, simulation results from models with 12 weight variables clearly show how much the maximum G-value increases on average under angled drop conditions for every 0.2 kg increase in weight. By using a single variable, the interaction effects between variables are reduced, interference from other parameters is eliminated, and the complexity of data fitting is lowered.

[0049] In one example, based on the multiple finite element models, the minimum ground clearance and the target gravitational acceleration multiple of the target product under various drop conditions are determined, such as... Figure 3 As shown, it includes: Step 301: Based on the multiple finite element models, obtain the first minimum ground clearance and the first gravitational acceleration multiple of the target product under each drop condition through simulation calculation.

[0050] In this example, virtual tests covering drop scenarios are performed based on multiple pre-built finite element models. These scenarios are categorized into three types according to their impact contact characteristics: corner drop scenarios (with the product's top corner as the contact point), edge drop scenarios (including short, medium, and long edges, with different length edges as contact lines), and surface drop scenarios (including non-attached surfaces, open surfaces, top surfaces, and bottom surfaces, with different outer surfaces as contact surfaces). Among these, corner drop scenarios are considered to have the highest risk level due to their smallest contact area and most concentrated impact load, followed by edge drop scenarios, while surface drop scenarios have the lowest risk level due to their largest contact area and dispersed impact load.

[0051] During testing, the drop height for all conditions can be set to a uniform value according to packaging testing standards or actual needs to maintain consistency in testing conditions. Drop dynamics simulation is performed using finite element method (FEM) software. The model is placed at a set height with an initial velocity of zero to simulate a free fall. The product displacement, acceleration, and paper-plastic deformation are calculated at each time step, with a focus on the critical stage from the moment of contact with the ground to the point where the paper-plastic compression reaches its maximum. During this stage, the product experiences the highest impact acceleration (G-value) and the smallest distance from the ground, thus extracting the first minimum ground clearance and the first gravitational acceleration multiple for each condition.

[0052] For example, the finite element model is placed at an initial position of 910mm above the ground with an initial velocity of 0, simulating a free fall. The product displacement, acceleration, and paper-plastic deformation are calculated at each time point according to the time step. The entire process data from the start of the finite element model's fall to complete rest is recorded, including the period from the moment of contact with the ground to the stage of maximum paper-plastic compression. During this stage, the G-value is the highest and the distance from the ground is the smallest.

[0053] Step 302: Based on the first minimum ground clearance and the first gravitational acceleration multiple, establish a comprehensive calculation equation for each drop condition.

[0054] In this example, the aforementioned simulation data is processed using data fitting techniques to establish comprehensive calculation equations for each drop condition. Specifically, the quantitative relationship between five parameters—weight, paper-plastic thickness, length buffer, width buffer, and height buffer—and the simulated ground clearance and G-value is analyzed, constructing a mathematical model for each condition that comprehensively reflects the influence of multiple parameters. Taking the angular drop condition as an example, its comprehensive calculation equation for ground clearance is formed by multiplying the sub-equations describing the influence of the five parameters.

[0055] Step 303: Based on the comprehensive calculation equation, calculate the second minimum ground clearance and the second gravitational acceleration multiple of the target product under each drop condition.

[0056] In this example, a pre-established comprehensive calculation equation is used for prediction: when a new product weight and paper-plastic shape buffer parameters are input, the comprehensive calculation equation corresponding to each working condition is called to calculate the expected ground clearance and G value (i.e., the second minimum ground clearance and the second gravitational acceleration multiple) of the parameter combination under all eight drop conditions, achieving instant evaluation without the need for resimulation.

[0057] Step 304: Compare the second minimum ground clearance and the second gravitational acceleration multiple with the corresponding preset thresholds to obtain the target minimum ground clearance and the target gravitational acceleration multiple.

[0058] In this example, we check whether the second minimum ground clearance and the second gravitational acceleration multiple for all eight operating conditions meet the corresponding preset thresholds, filter out the parameter combinations that fully meet the standards, and select the solution with the best performance from them. Finally, we determine the target minimum ground clearance and the target gravitational acceleration multiple.

[0059] In one example, based on the first minimum ground clearance and the first gravitational acceleration factor, a comprehensive calculation equation is established for each drop condition, such as... Figure 4 As shown, it includes: Step 401: Based on the first minimum ground clearance and the first gravitational acceleration multiple, generate fitting curves between each parameter and the first minimum ground clearance and the first gravitational acceleration multiple.

[0060] In this example, after obtaining the variables, minimum ground clearance, and G-value for each working condition, a curve is fitted, and then an equation is fitted. For example, the weight and minimum ground clearance data for the angled drop condition are shown in Table 1. The weight and G-value for the angled drop condition are shown in Table 2.

[0061] Table 1. Weight and Minimum Ground Clearance for Corner Drop Tests

[0062] Table 2 Weight and G-value for angled drop test

[0063] From Table 1, we can obtain the following: Figure 5 The fitted curves of weight versus minimum ground clearance under the angled drop condition are shown in Table 2. Table 2 yields the following results: Figure 6 The curve showing the fit between weight and G value in the angle drop condition is shown.

[0064] Step 402: Based on the fitted curves, obtain multiple fitting equations corresponding to each fitted curve.

[0065] In this example, based on the fitted curve, the fitted equation for the weight and minimum ground clearance under the angle drop condition is as follows:

[0066] in, The ground clearance is the effect of weight on the angle drop condition. Machine weight.

[0067] The fitting equation for thickness and minimum ground clearance is:

[0068] in, The ground clearance is determined by the effect of thickness under drop conditions. Paper-plastic thickness.

[0069] The fitting equation for the length buffer and minimum ground clearance is:

[0070] in, The ground clearance is the buffer distance for the length of the impact under the angle drop condition. Paper-plastic length buffer value.

[0071] The fitting equation for the width buffer and minimum ground clearance is:

[0072] in, The ground clearance is used to buffer the impact of the width under angle-drop conditions. Paper-plastic width buffer value.

[0073] The fitting equation for the height buffer and minimum ground clearance is:

[0074] in, The ground clearance is the height buffering distance under the angle drop condition. Paper-plastic height buffer value.

[0075] Step 403: Based on multiple fitting equations under various drop conditions, establish a comprehensive calculation equation for each drop condition.

[0076] In this example, the comprehensive calculation equation is:

[0077] in, The distance from the ground is C. C is a constant 83521, and its value is taken from: machine weight 1.57Kg, paper-plastic thickness 1mm, paper-plastic length buffer 24.8mm, paper-plastic width buffer 19.3mm, paper-plastic height buffer 24.8mm, and minimum machine distance from the ground 17.0 (this model is included in all five equations) to the power of 4.

[0078] In some embodiments, the comprehensive equations for various drop conditions include: Equations for the distance from the ground to the corner drop, the distance from the ground to the short edge, the distance from the ground to the middle edge, the distance from the ground to the long edge, the distance from the ground to the non-boundary surface, the distance from the ground to the open surface, the distance from the ground to the first surface, the distance from the ground to the short edge of the second surface, the G-value equation for the corner drop, the equation for the multiple of gravitational acceleration of the short edge, the equation for the multiple of gravitational acceleration of the middle edge, the equation for the multiple of gravitational acceleration of the long edge, the equation for the multiple of gravitational acceleration of the non-boundary surface, the equation for the multiple of gravitational acceleration of the open surface, the equation for the multiple of gravitational acceleration of the top surface, and the equation for the multiple of gravitational acceleration of the bottom surface.

[0079] Following this pattern, 12 integrated calculation equations for each working condition are obtained, each containing 5 sub-equations. These 12 integrated calculation equations represent the angle of drop and the distance from the ground. Short edge ground distance Distance between the middle edge and the ground Distance of long edge from the ground Non-contact ground distance Distance between the opening and the ground Distance between surface A and the ground Distance from the ground of the short edge of surface D And the angle drop G value G value of short edge G value of the middle edge G value of long edge non-boundary G value G value of the opening surface A-side G value D-side G value .

[0080] Furthermore, this application sets a minimum ground clearance threshold and a G-value threshold. The minimum ground clearance threshold is set based on the paper-plastic processing error and drop posture deviation, providing a safety margin, typically ≥5mm. For example, a paper-plastic thickness processing error of ±0.1mm and a drop posture deviation could reduce the ground clearance by 2mm; a 5mm threshold ensures that the object will not touch the ground in extreme cases. The G-value threshold is set based on the tolerance limits of key product components. For example, if the tolerance limit of an electronic display screen is 30G, then the G-value threshold is set to ≤30G. For example, a 10% safety margin is reserved to prevent component damage.

[0081] For the target product's weight, the paper-plastic shape buffer parameters, and the corresponding second minimum ground clearance and second G value, threshold verification was performed under all eight operating conditions. If the second ground clearance is greater than or equal to the threshold and the second G value is less than or equal to the threshold for all operating conditions, then the parameter combination is valid, and the corresponding second ground clearance and second G value are the target minimum ground clearance and target G value. If any operating condition does not meet the threshold (e.g., G value = 32G > 30G for corner drop), then the parameter combination is invalid, and the variables need to be adjusted (e.g., increasing the paper-plastic thickness) and recalculated for verification. Among all valid parameter combinations, the combination closest to the threshold is preferred (e.g., ground clearance slightly higher than the threshold, G value slightly lower than the threshold) to balance protective performance and material cost (avoiding over-design leading to cost waste).

[0082] This application employs least squares fitting of multivariate integration and threshold verification to ensure that the calculated results are highly consistent with the simulation data and meet actual protection requirements. The comprehensive equation can be directly applied to the packaging design of similar products; only the new product weight and paper-plastic parameters need to be input to quickly output the target indicators, significantly reducing design complexity.

[0083] In one example, determining the target weight and the target shape buffer value of the paper-plastic composite based on the target minimum ground clearance and the target gravitational acceleration multiple of the target product includes: Specifically, this application extracts the target range of product design weight from the project planning table. For example, if the design target of a certain product is 1.5 ± 0.05 kg, sub-combinations with M in the range of 1.45-1.55 kg are selected from the effective combinations. If there are multiple values ​​of M in the sub-combinations (such as 1.45 kg, 1.48 kg, 1.52 kg), the feasibility of the product structure design must be considered when selecting. Specifically, weights close to the median of the design target (1.5 kg) (such as 1.50 kg) are preferred to avoid adjustments to product functions due to weight deviations, such as changes in battery capacity. If the paper-plastic buffer parameters corresponding to a certain weight (such as 1.50 kg) are better (such as thinner thickness, lower cost), then this weight is directly locked as the target weight M0. After locking M0, a unique paper-plastic target parameter needs to be selected from the effective sub-combinations of M=M0, taking into account the three principles of cost, process, and space. For example, the final combination of paper-plastic target shape buffer values ​​is obtained by selecting based on the principles of optimal cost, process feasibility, space adaptability, or balanced performance redundancy.

[0084] In one example, a packaging model is established based on the target minimum ground clearance, the target gravitational acceleration multiple, the target weight, the target shape buffer value of the paper-plastic composite, and the external dimension parameters of the target product, such as... Figure 7 As shown, it includes: Step 501: Based on the external dimension parameters of the target product, construct the basic receiving cavity of the packaging model.

[0085] In this example, the basic receiving cavity of the packaging model is constructed in a 3D modeling environment based on the external dimensional parameters of the target product. These external dimensional parameters include the product's length, width, and height. These parameters directly determine the minimum internal space dimensions of the receiving cavity, ensuring the product can be fully contained and providing accurate boundary conditions for subsequent cushioning structure design.

[0086] Step 502: Based on the target shape buffer value of the paper-plastic, construct a buffer structure in the corner area of ​​the basic receiving cavity.

[0087] In this example, based on the target shape buffer values ​​of the paper-plastic composite, including key dimensional parameters such as paper-plastic thickness, length buffer, width buffer, and height buffer, corresponding buffer structures are constructed in key stress areas such as the corners and edges of the base cavity. These areas typically bear the greatest impact load in drop tests. By designing buffer structures with specific geometries in these areas, impact energy can be effectively absorbed and dispersed, providing targeted protection for the product.

[0088] Step 503: Based on the minimum ground clearance of the target and the multiple of the target's gravitational acceleration, verify whether the buffer structure meets the preset protection requirements.

[0089] In this example, the protective performance of the constructed buffer structure is verified based on the determined target minimum ground clearance and target gravitational acceleration multiple. This is accomplished through finite element simulation analysis, which checks whether the actual minimum ground clearance of the product meets the target requirements under various drop conditions, and whether the impact acceleration experienced by the product is controlled within the target G-value range, ensuring that the buffer structure can provide the expected protective effect.

[0090] Step 504: When the verification passes, generate a packaging model containing the buffer structure.

[0091] In this example, once the buffer structure passes all verifications and meets the preset protection requirements, a packaging model containing the complete buffer structure is generated. This model embodies a design scheme based on optimized parameters and can be directly used for subsequent production preparation work such as engineering drawing output and mold manufacturing.

[0092] In one example, the method further includes: The established packaging model was simulated and analyzed to obtain the simulation results of the paper-plastic cushioning performance; Based on the simulation results of paper-plastic cushioning performance, the packaging model is iteratively optimized to obtain an optimized packaging model.

[0093] Specifically, the obtained packaging model is simulated and analyzed using finite element analysis software to perform multi-condition drop simulations on the complete packaging model. Simulation results are obtained, including the minimum ground clearance, maximum G-value, and a judgment on whether the requirements are met for each drop condition. This application can also perform in-depth analysis for different conditions. For example, in corner drops, the corner area of ​​the paper-plastic cushioning component bears the maximum impact force, and the corner cushioning structure is rapidly compressed to its limit during the impact, resulting in insufficient energy absorption. Based on the analysis results, optimization schemes are formulated, such as increasing the thickness of the corner area of ​​the paper-plastic cushioning component from 1.0mm to 1.2mm, keeping the thickness of other areas unchanged, and fine-tuning the height cushioning from 24.7mm to 25.7mm. If the initial optimization fails to achieve the expected goals, or if further cost optimization is desired, multiple iterations can be performed. After iterative optimization, the final packaging model parameters are determined.

[0094] like Figure 8 As shown, this application provides a packaging shaping device, comprising: The acquisition module 601 is used to acquire the weight of the target product and multiple shape buffer parameters of the paper-plastic composite. Module 602 is used to update the initial model by updating the weight of the target product and one of the multiple shape buffer parameters of the target product multiple times, so as to obtain multiple finite element models. The simulation module 603 is used to determine the minimum ground clearance and the target gravitational acceleration multiple of the target product under various drop conditions based on the multiple finite element models. The determination module 604 is used to determine the target weight and the target shape buffer value of the paper-plastic based on the target minimum ground clearance and the target gravitational acceleration multiple of the target product. Module 605 is used to establish a packaging model based on the target minimum ground clearance, the target gravitational acceleration multiple, the target weight, the target shape buffer value of the paper-plastic composite, and the external dimension parameters of the target product.

[0095] It should be noted that the packaging shaping device of this application embodiment solves the problem in a similar way to the aforementioned packaging shaping method. Therefore, the implementation process, implementation principle, and beneficial effects of the packaging shaping device can be found in the description of the implementation process, implementation principle, and beneficial effects of the aforementioned method. Repeated descriptions will not be repeated.

[0096] Figure 9 A schematic block diagram of an example electronic device 800 that can be used to implement embodiments of this application is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device may also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the application described and / or claimed herein.

[0097] like Figure 9 As shown, device 800 includes a computing unit 801, which can perform various appropriate actions and processes based on a computer program stored in read-only memory (ROM) 802 or a computer program loaded from storage unit 808 into random access memory (RAM) 803. RAM 803 may also store various programs and data required for the operation of device 800. The computing unit 801, ROM 802, and RAM 803 are interconnected via bus 804. Input / output (I / O) interface 805 is also connected to bus 804.

[0098] Multiple components in device 800 are connected to I / O interface 805, including: input unit 806, such as keyboard, mouse, etc.; output unit 807, such as various types of monitors, speakers, etc.; storage unit 808, such as disk, optical disk, etc.; and communication unit 809, such as network card, modem, wireless transceiver, etc. Communication unit 809 allows device 800 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0099] The computing unit 801 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of the computing unit 801 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various computing units running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. The computing unit 801 performs the various methods and processes described above, such as the packaging and shaping method. For example, in some embodiments, the packaging and shaping method can be implemented as a computer software program tangibly contained in a machine-readable medium, such as storage unit 808. In some embodiments, part or all of the computer program can be loaded and / or installed on device 800 via ROM 802 and / or communication unit 809. When the computer program is loaded into RAM 803 and executed by the computing unit 801, one or more steps of the packaging and shaping method described above can be performed. Alternatively, in other embodiments, the computing unit 801 can be configured to perform the packaging and shaping method by any other suitable means (e.g., by means of firmware).

[0100] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), system-on-a-chip (SoCs), complex programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transferring data and instructions to the storage system, the at least one input device, and the at least one output device.

[0101] The program code used to implement the methods of this application may be written in any combination of one or more programming languages. This program code may be provided to a processor or controller of a general-purpose computer, special-purpose computer, or other programmable data processing device, such that when executed by the processor or controller, the functions / operations specified in the flowcharts and / or block diagrams are implemented. The program code may be executed entirely on a machine, partially on a machine, as a standalone software package partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0102] In the context of this application, a machine-readable medium can be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, apparatus, or device. A machine-readable medium can be a machine-readable signal medium or a machine-readable storage medium. Machine-readable media can be, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0103] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device for displaying information to the user (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor); and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the computer. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0104] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as a data server), or computing systems that include middleware components (e.g., an application server), or computing systems that include frontend components (e.g., a user computer with a graphical user interface or web browser through which a user can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., a communication network). Examples of communication networks include local area networks (LANs), wide area networks (WANs), and the Internet.

[0105] Computer systems can include clients and servers. Clients and servers are generally located far apart and typically interact via communication networks. Client-server relationships are created by computer programs running on the respective computers and having a client-server relationship with each other. Servers can be cloud servers, servers in distributed systems, or servers incorporating blockchain technology.

[0106] It should be understood that the various forms of processes shown above can be used to rearrange, add, or delete steps. For example, the steps described in this disclosure can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this application can be achieved, and this is not limited herein.

[0107] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this application, "a plurality of" means two or more, unless otherwise explicitly specified.

[0108] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A packaging shaping method, characterized in that, include: Obtain the weight of the target product and multiple shape buffer parameters of the paper-plastic composite; By repeatedly updating the weight of the target product and one of the multiple shape buffer parameters of the target product, the initial model is updated to obtain multiple finite element models; Based on the multiple finite element models, the minimum ground clearance and the target gravitational acceleration multiple of the target product under various drop conditions are determined. Based on the target minimum ground clearance and target gravitational acceleration multiple of the target product, determine the target weight and the target shape buffer value of the paper-plastic composite. A packaging model is established based on the target minimum ground clearance, target gravitational acceleration multiple, target weight, target shape buffer value of paper-plastic composite, and the external dimension parameters of the target product.

2. The method according to claim 1, characterized in that, The shape buffering parameters of the paper-plastic include at least one of the following: paper-plastic thickness, paper-plastic length buffering, width buffering, and height buffering; The initial model is updated by repeatedly updating the weight of the target product and one of the multiple shape buffer parameters of the target product, resulting in multiple finite element models, including: Using the weight, paper-plastic thickness, paper-plastic length buffer, width buffer, and height buffer of the target product as single variables, the initial model is updated within a preset value range of the single variable according to a preset increment step to obtain multiple finite element models. The number of finite element models is determined by the preset value range and preset increment step of each individual variable.

3. The method according to claim 2, characterized in that, The resulting finite element models include: Determine the initial parameter values ​​for the weight and shape buffer parameters; Within the preset value range of the single variable, multiple parameter values ​​are sequentially taken according to a preset increment step. For each parameter value, keep the other parameters at the initial parameter values, update the parameters of the initial model, and generate the corresponding finite element model.

4. The method according to claim 1, characterized in that, The determination of the target product's minimum ground clearance and target gravitational acceleration multiple under various drop conditions based on the multiple finite element models includes: Based on the multiple finite element models, the first minimum ground clearance and the first gravitational acceleration multiple of the target product under various drop conditions are obtained through simulation calculations. Based on the first minimum ground clearance and the first gravitational acceleration multiple, a comprehensive calculation equation is established for each drop condition. Based on the comprehensive calculation equation, the second minimum ground clearance and the second gravitational acceleration multiple of the target product under each drop condition are calculated. The second minimum ground clearance and the second gravitational acceleration multiple are compared with the corresponding preset thresholds to obtain the target minimum ground clearance and the target gravitational acceleration multiple.

5. The method according to claim 4, characterized in that, The comprehensive calculation equations for various drop conditions are established based on the first minimum ground clearance and the first gravitational acceleration factor, including: Based on the first minimum ground clearance and the first gravitational acceleration factor, a fitting curve is generated between each parameter and the first minimum ground clearance and the first gravitational acceleration factor; Based on the fitted curves, multiple fitting equations corresponding to each fitted curve are obtained; Based on multiple fitting equations for various drop conditions, a comprehensive calculation equation for each drop condition is established.

6. The method according to claim 1, characterized in that, The packaging model is established based on the target minimum ground clearance, target gravitational acceleration multiple, target weight, target shape buffer value of paper-plastic composite, and the external dimension parameters of the target product, including: Based on the external dimensional parameters of the target product, the basic receiving cavity of the packaging model is constructed; Based on the target shape buffer value of the paper-plastic composite, a buffer structure is constructed in the corner area of ​​the basic receiving cavity; Based on the target's minimum ground clearance and the target's gravitational acceleration multiple, verify whether the buffer structure meets the preset protection requirements; When the verification passes, a packaged model containing the buffer structure is generated.

7. The method according to claim 1, characterized in that, The method further includes: The established packaging model was simulated and analyzed to obtain the simulation results of the paper-plastic cushioning performance; Based on the simulation results of the paper-plastic cushioning performance, the packaging model is iteratively optimized to obtain an optimized packaging model.

8. A packaging shaping device, characterized in that, include: The acquisition module is used to acquire the weight of the target product and multiple shape buffer parameters of the paper-plastic composite. The building module is used to update the initial model by repeatedly updating the weight of the target product and one of the multiple shape buffer parameters of the target product, thus obtaining multiple finite element models; The simulation module is used to determine the minimum ground clearance and the target gravitational acceleration multiple of the target product under various drop conditions based on the multiple finite element models. The determination module is used to determine the target weight and the target shape buffer value of the paper-plastic based on the target minimum ground clearance and the target gravitational acceleration multiple of the target product. A module is established to create a packaging model based on the target's minimum ground clearance, target gravitational acceleration multiple, target weight, target shape buffer value of paper-plastic composite, and the external dimension parameters of the target product.

9. An electronic device, characterized in that, include: At least one processor; and a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-7.

10. A non-transitory computer-readable storage medium storing computer instructions, characterized in that, The computer instructions are used to cause the computer to perform the method according to any one of claims 1-7.

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