A method for lightening and optimizing a garbage bin of a sweeper

Abstract

This application relates to the field of sanitation vehicle technology and provides a method for lightweight optimization of a sweeper truck's garbage bin. The method includes: establishing a finite element simulation model of the sweeper truck's garbage bin; rotating the garbage bin around a lifting hinge in the finite element simulation model according to its actual lifting state, with each change in the lifting angle defined as a preset degree as a lifting state; dividing the garbage bin into four parts: front, rear, bottom, and side; obtaining the stress values ​​of each component in each part under static and dynamic lifting conditions in each lifting state; obtaining the lifting coefficient of each part under each lifting state based on the stress values ​​under static and dynamic lifting conditions; determining the lightweight lifting state for each part; and optimizing the lightweight design of the sweeper truck's garbage bin based on the lifting coefficient and the stress values ​​under static lifting conditions in the lightweight lifting state. This application can achieve lightweight design of the sweeper truck's garbage bin while saving computational resources and reducing optimization difficulty.

Description

Technical Field

[0001] This application belongs to the field of sanitation vehicle technology, and in particular relates to a method for optimizing the lightweight design of a sweeper's garbage bin. Background Technology

[0002] In recent years, with rising labor costs and improved living standards, various sanitation vehicles have been widely used in street cleaning, garbage transportation, and other tasks, while a roadmap for energy-saving and new energy vehicle technologies has been proposed. Data from UK laboratory experiments show that for every 30% reduction in vehicle weight, fuel efficiency can improve by 20%-24%, and carbon dioxide emissions can be reduced by 20%. Lightweighting is a crucial approach to energy conservation and emission reduction in the automotive industry.

[0003] As a type of Class II special vehicle, lightweight design is of great significance for garbage sweepers. Garbage sweepers are often designed with interference fit, offering significant potential for weight reduction. However, there are currently two main problems with optimizing the garbage bin: ① The bin has too many parts, resulting in a huge sample size for experimental design. Considering the cost of simulation calculations, only a few key parts can be optimized for lightweight design; ② The dynamic simulation time for lifting the garbage bin is too long, requiring a significant amount of time and computational resources to calculate a single working condition.

[0004] It is evident that the current efforts to lightweight the garbage bins of sweepers face challenges in terms of high computational resource consumption and optimization difficulty. Summary of the Invention

[0005] This application provides a method for optimizing the lightweight design of a sweeper's trash can, which can solve the problems of high difficulty in lightweighting the trash can and high computational resource consumption.

[0006] This application provides a method for optimizing the lightweight design of a sweeper's garbage bin, including: Establish a finite element simulation model of the garbage bin of the sweeper; In the finite element simulation model, the garbage bin of the sweeper is rotated around the lifting hinge according to the actual lifting state. Each change in the lifting angle is set as a lifting state by a preset degree until the lifting angle reaches the limit. The garbage bin of the sweeper truck is divided into four parts: front, rear, bottom, and sides. The front part is the front wall of the garbage bin, which is the side wall of the garbage bin that is adjacent to the front of the sweeper truck. The rear part is the rear wall of the garbage bin. The rear wall and the front wall are the two opposite side walls of the garbage bin. The bottom is the bottom surface of the garbage bin. The sides are the left and right side walls of the garbage bin. Obtain the stress value of each part on each part under static lifting conditions in each lifting state, and the stress value of each part on each part under dynamic lifting conditions in each lifting state; the static lifting condition is when the garbage bin of the sweeper is fully loaded and subjected to gravity only; the dynamic lifting condition is the entire dynamic process of the garbage bin of the sweeper gradually moving from the initial horizontal position to the limit position when it is fully loaded. Based on the stress value of each part in each location under static lifting conditions and the stress value of each part in each location under dynamic lifting conditions, the lifting coefficient of each location under each lifting condition is obtained. Based on the stress value of each part in each location under static lifting conditions in each lifting state, the lightweight lifting state of each location is determined from all lifting states. Based on the lifting coefficient of each part in the corresponding lightweight lifting state, and the stress value of each part in the corresponding lightweight lifting state under static lifting conditions, the garbage bin of the sweeper is optimized for lightweight design.

[0007] Optionally, based on the stress value of each component on each part under static lifting conditions in each lifting state, and the stress value of each component on each part under dynamic lifting conditions in each lifting state, the lifting coefficient of each part under each lifting state is obtained, including: For each lifting state, perform the following steps: The number is calculated using the following formula. The lift coefficient of each part in the lifted state : ; ; in, Indicates the first The number of parts in each part , Indicates the first On the first part The magnification factor of each component. Indicates the first On the first part The stress value of a component under dynamic lifting conditions in a lifted state. Indicates the first On the first part The stress value of a component under static lifting conditions in a lifted state.

[0008] Optionally, based on the stress value of each component on each part under static lifting conditions in each lifting state, the lightweight lifting state of each part is determined from all lifting states, including: Based on the stress value of each part in each location under static lifting conditions in each lifting state, calculate the stress value of each location in each lifting state. Based on the stress value of each part in each location under static lifting conditions in each lifting state, calculate the differential stress of each location in each lifting state; Based on the stress value and differential stress of each part under each lifting condition, the lightweight lifting condition of each part is determined from all lifting conditions.

[0009] Optionally, based on the stress value of each part in each lifting state under static lifting conditions, the stress value of each part in each lifting state is calculated, including: For each lifting state, perform the following steps: The number is calculated using the following formula. Stress values ​​of each part under lifting conditions : .

[0010] Optionally, based on the stress value of each part in each lifting state under static lifting conditions, the differential stress of each part in each lifting state is calculated, including: For each lifting state, perform the following steps: The number is calculated using the following formula. Differential stress at various locations under lifting conditions : ; in, Indicates the maximum stress value; ; Indicates the first On the first part The part in the first The stress value under static lifting conditions in a lifting state. , This indicates the number of lifting states.

[0011] Optionally, based on the stress value and differential stress of each part under each lifting condition, the lightweight lifting condition of each part is determined from all lifting conditions, including: For each part separately, if the part is in the first... The stress value in the lifting state is greater than the preset stress value, and this part is in the [number]th [period]. If the differential stress in the first lifting state is less than the preset differential stress, then the first... The lifting state is used as the lightweight lifting state for this part.

[0012] Optionally, based on the lifting coefficient of each part in the corresponding lightweight lifting state, and the stress value of each component in each part under the corresponding lightweight lifting state during static lifting conditions, the garbage bin of the sweeper is optimized for lightweight design, including: Regarding the first For each part, perform the following steps: Through formula Calculate the first On the first part Optimization ratio of individual parts If the optimization ratio If the ratio is less than or equal to the optimization ratio threshold, then determine the first... On the first part This part is a lightweight component; Based on the The lift coefficient of each part in the lightweight lifting state is calculated. On the first part The expected stress value of each component in the corresponding lightweight lifting state. Based on this predicted stress value The first on this part Each component was optimized for lightweight design; in, Indicates the first On the first part The quality of each part Indicates the first On the first part The stress value of a component under static lifting conditions in a lightweight lifting state at this location.

[0013] Optional, based on the first The lift coefficient of each part in the lightweight lifting state is calculated. On the first part The expected stress value of each component in the corresponding lightweight lifting state. ,include: The number is calculated using the following formula. On the first part Expected stress value of the component in the lightweight lifting state at this location : ; in, Indicates the first The lift factor of each part in the lightweight lifting state of this part.

[0014] Optionally, based on this predicted stress value The first on this part Each component underwent lightweight optimization, including: If the predicted stress value Less than or equal to the target stress threshold Then, the thickness optimization method is used for the first... On the first part Each component was optimized for lightweight design; If the predicted stress value Greater than the target stress threshold Then give the first On the first part Add a shim to the first part, and then use a thickness optimization method to optimize the first part. On the first part Each component was optimized for lightweight design.

[0015] Optionally, the thickness optimization method is as follows: Through formula Calculate the first On the first part Minimum thickness of each part ; Indicates the current stress value. , Indicates the current thickness. This represents the magnified allowable stress. , This indicates the preset magnification factor. Indicates the first On the first part Allowable stress of the material of each component; In the thickness optimization range An Isight experiment was conducted inside the lab, and several thickness values ​​were obtained. For each thickness value, modify the finite element simulation model in the finite element simulation software according to that thickness value. On the first part The thickness of each part was determined, and finite element simulation was performed on the modified finite element simulation model to obtain stress results. The stress value closest to all stress results The thickness value corresponding to the stress result is used as the first On the first part The optimal thickness of each part.

[0016] The above-mentioned solution in this application has the following beneficial effects: In the embodiments of this application, the garbage bin of the sweeper is divided into four parts: front, rear, bottom, and sides. The lifting coefficient of each part is calculated using dynamic and static stress values ​​to quantitatively characterize the dynamic amplification effect. Then, the lifting state of each part under the most severe stress is determined using static stress values. Based on the lifting coefficient and static stress values ​​under this lifting state, lightweight optimization is performed on each part of the garbage bin. Since this application converts dynamic processes into static ones, the computational load is reduced. Therefore, compared with dynamic optimization in the prior art, this application can significantly save computational resources. Furthermore, this application performs lightweight optimization part by part sequentially, thus reducing the computational sample size compared with the prior art where the entire system is executed together, greatly reducing the optimization difficulty.

[0017] Other beneficial effects of this application will be described in detail in the following detailed description section. Attached Figure Description

[0018] To more clearly illustrate the technical solutions in the embodiments of this application, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0019] Figure 1 A flowchart illustrating a method for lightweighting a sweeper's trash can according to an embodiment of this application; Figure 2 This is a schematic diagram of the structure of a garbage bin for a sweeper provided in one embodiment of this application.

[0020] [Explanation of Labels in the Attached Image] 201. Front wall; 202. Left side wall; 203. Right side wall. Detailed Implementation

[0021] In the following description, specific details such as particular system architectures and techniques are set forth for illustrative purposes and not for limitation, in order to provide a thorough understanding of the embodiments of this application. However, those skilled in the art will understand that this application may also be implemented in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, apparatuses, circuits, and methods have been omitted so as not to obscure the description of this application with unnecessary detail.

[0022] It should be understood that, when used in this application specification and the appended claims, the term "comprising" indicates the presence of the described features, integrals, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components and / or a collection thereof.

[0023] It should also be understood that the term “and / or” as used in this application specification and the appended claims means any combination of one or more of the associated listed items and all possible combinations, and includes such combinations.

[0024] As used in this application specification and the appended claims, the term "if" may be interpreted, depending on the context, as "when," "once," "in response to determination," or "in response to detection." Similarly, the phrase "if determined" or "if detected [the described condition or event]" may be interpreted, depending on the context, as meaning "once determined," "in response to determination," "once detected [the described condition or event]," or "in response to detection [the described condition or event]."

[0025] Furthermore, in the description of this application and the appended claims, the terms "first," "second," "third," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0026] References to "one embodiment" or "some embodiments" as described in this specification mean that one or more embodiments of this application include a specific feature, structure, or characteristic described in connection with that embodiment. Therefore, the phrases "in one embodiment," "in some embodiments," "in other embodiments," "in still other embodiments," etc., appearing in different parts of this specification do not necessarily refer to the same embodiment, but rather mean "one or more, but not all, embodiments," unless otherwise specifically emphasized. The terms "comprising," "including," "having," and variations thereof mean "including but not limited to," unless otherwise specifically emphasized.

[0027] To address the issue of unsatisfactory lightweighting effects in current sweeper truck garbage bins, this application provides a method for optimizing the lightweighting of sweeper truck garbage bins. This method divides the sweeper truck garbage bin into four parts: front, rear, bottom, and sides. It calculates the lifting coefficient of each part using dynamic and static stress values, quantitatively characterizing the dynamic amplification effect. Then, it determines the lifting state of each part under the most severe stress using static stress values. Based on the lifting coefficient and static stress values ​​under this lifting state, it optimizes the lightweighting of each part of the sweeper truck garbage bin. Notably, because this application transforms dynamic processes into static ones, it reduces computational load. Therefore, compared to dynamic optimization in existing technologies, this application significantly saves computational resources. Furthermore, this application performs lightweighting sequentially part by part, thus reducing the computational sample size compared to the overall optimization approach in existing technologies, greatly reducing the optimization difficulty. The method for optimizing the lightweight garbage bin of a sweeper provided in this application will be illustrated below with reference to specific embodiments.

[0028] like Figure 1 As shown in the embodiments of this application, the method for lightweighting and optimizing the garbage bin of a sweeper truck includes the following steps: Step 11: Establish a finite element simulation model of the garbage bin of the sweeper.

[0029] The aforementioned garbage bin for the sweeper truck is a garbage bin for the sweeper truck that requires weight reduction. In some embodiments of this application, a finite element simulation model of the garbage bin for the sweeper truck can be generated using simulation software (such as SolidWorks simulation).

[0030] In some embodiments of this application, corresponding boundary conditions are applied when establishing the finite element simulation model. These boundary conditions include: lifting force (maximum lifting force of 12000N under no-load and maximum lifting force of 17880N under full load of 600kg), lifting speed (18.25mm / s), and garbage bin load (full load of 600kg).

[0031] The garbage bin of the sweeper is loaded by replacing garbage of equal mass and volume with numerous solid spheres placed inside the bin. The diameter of the spheres is determined according to the actual situation.

[0032] Step 12: In the finite element simulation model, rotate the garbage bin of the sweeper around the lifting hinge according to the actual lifting state. Each change in the lifting angle is set as a preset degree as a lifting state until the lifting angle reaches the limit.

[0033] In other words, in the simulation software, the finite element simulation model is rotated around the lifting hinge according to the actual lifting state of the garbage bin of the sweeper. Each change in the lifting angle by a preset number of degrees (e.g., 1 degree) is set as a lifting state until the lifting angle reaches its limit (i.e., the maximum lifting angle of the garbage bin). The setting process stops when the lifting angle reaches its limit. In each lifting state, the six degrees of freedom of the lifting rod are fixed, and only gravity is applied to the model. A calculation time is set (specifically determined based on the standard that the stress of each part of the garbage bin remains stable in actual calculations), and static lifting condition simulation calculations are performed.

[0034] Step 13: Divide the garbage bin of the sweeper into four parts: front, rear, bottom, and sides.

[0035] like Figure 2 As shown, the front part is the front wall 201 of the sweeper truck's garbage bin, which is the side wall of the sweeper truck's garbage bin that is adjacent to the front of the sweeper truck's garbage bin. The rear part is the rear wall of the sweeper truck's garbage bin (not shown in the figure). The rear wall and the front wall are the two opposite side walls of the sweeper truck's garbage bin (i.e., the left side wall 202 and the right side wall 203 in the figure). The bottom is the bottom surface of the sweeper truck's garbage bin (not shown in the figure). The sides are the left and right side walls of the sweeper truck's garbage bin.

[0036] Step 14: Obtain the stress value of each part on each location under static lifting conditions in each lifting state, and the stress value of each part on each location under dynamic lifting conditions in each lifting state.

[0037] The static lifting condition described above refers to the sweeper truck being fully loaded with garbage bins and subjected to gravity alone. The dynamic lifting condition refers to the entire dynamic process of the sweeper truck being fully loaded with garbage bins, starting from the initial horizontal position (i.e., the position with a lifting angle of 0 degrees) and gradually moving to the limit position (the position where the lifting angle reaches the maximum lifting angle).

[0038] It should be noted that the stress values ​​under both the static and dynamic lifting conditions can be obtained through simulation results (these simulation results are obtained by simulating the finite element simulation model in simulation software).

[0039] Step 15: Based on the stress value of each part on each location under static lifting conditions and the stress value of each part on each location under dynamic lifting conditions, obtain the lifting coefficient of each location under each lifting condition.

[0040] In some embodiments of this application, the following steps may be performed for each lifting state: The number is calculated using the following formula. The lift coefficient of each part under this lifting state : ; ; in, Indicates the first The number of parts in each part , Indicates the first On the first part The magnification factor of each component can be preset according to actual conditions. Indicates the first On the first part The stress value of a component under dynamic lifting conditions in this lifting state. Indicates the first On the first part The stress value of a component under static lifting conditions in this lifting state. When At that time, the first The aforementioned front part, when At that time, the first The aforementioned rear part, when At that time, the first The aforementioned bottom section is the part where... At that time, the first The aforementioned part is the side portion.

[0041] Step 16: Based on the stress value of each part in each location under static lifting conditions in each lifting state, determine the lightweight lifting state of each location from all lifting states.

[0042] The lightweight lifting state of the above-mentioned parts refers to the lifting angle when the parts are subjected to the most severe stress.

[0043] In some embodiments of this application, step 16 is specifically implemented as follows: steps 16.1 to 16.3: Step 16.1: Based on the stress value of each part in each lifting state under static lifting conditions, calculate the stress value of each part in each lifting state.

[0044] Specifically, the following steps can be performed for each lifting state: The number is calculated using the following formula. ( Stress values ​​of each part under this lifting condition : ; Step 16.2: Based on the stress value of each part in each lifting state under static lifting conditions, calculate the differential stress of each part in each lifting state.

[0045] Specifically, the following steps can be performed for each lifting state: The number is calculated using the following formula. ( Differential stress at each location under this lifting condition : ; in, Indicates the maximum stress value; ; Indicates the first On the first part The part in the first The stress value under static lifting conditions in a lifting state. , This indicates the number of lifting states.

[0046] Step 16.3: Determine the lightweight lifting state of each part from all lifting states based on the stress value and differential stress of each part in each lifting state.

[0047] It should be noted that the greater the total stress, the worse the stress; the smaller the differential stress, the worse the stress. The lifting angle when both reach their extreme points simultaneously is the lightweight lifting angle (i.e., the lightweight lifting state) of the corresponding part of the garbage bin.

[0048] Specifically, for each part, if that part is in the [number]th [year]... The stress value in the lifting state is greater than the preset stress value, and this part is in the [number]th [period]. If the differential stress in the first lifting state is less than the preset differential stress, then the first... Each lifting state serves as a lightweight lifting state for this part. The preset stress value and preset differential stress can be set according to actual conditions.

[0049] Step 17: Based on the lifting coefficient of each part in the corresponding lightweight lifting state, and the stress value of each part in the corresponding lightweight lifting state under static lifting conditions, perform lightweight optimization on the garbage bin of the sweeper.

[0050] In some embodiments of this application, the first ( For each of the following locations, proceed with steps 17.1 to 17.2: Step 17.1, using the formula Calculate the first On the first part Optimization ratio of individual parts If the optimization ratio If the value is less than or equal to the optimization ratio threshold (e.g., 100), then determine the first... On the first part This part is a lightweight component.

[0051] in, Indicates the first On the first part The quality of each part Indicates the first On the first part The stress value of a component under static lifting conditions in a lightweight lifting state at this location.

[0052] Step 17.2, based on the first The lift coefficient of each part in the lightweight lifting state is calculated. On the first part The expected stress value of each component in the corresponding lightweight lifting state. Based on this predicted stress value The first on this part Each component was optimized for lightweight design.

[0053] Specifically, the first can be calculated using the following formula. On the first part Expected stress value of the component in the lightweight lifting state at this location : ; in, Indicates the first The lift factor of each part in the lightweight lifting state of this part.

[0054] It should be noted that if the optimization ratio is... If it is greater than the optimization ratio threshold, then determine the first... On the first part This part does not need to be lightweighted; therefore, it is discarded and designated as an optimized part. Step 17.2 above is performed on parts that require lightweighting.

[0055] In some embodiments of this application, based on the predicted stress value The first on this part The specific implementation method for lightweight optimization of a component is as follows: if the expected stress value Less than or equal to the target stress threshold Then, the thickness optimization method is used for the first... On the first part Each component undergoes lightweight optimization; if the predicted stress value... Greater than the target stress threshold Then give the first On the first part Add a shim to the first part, and then use a thickness optimization method to optimize the first part. On the first part Each component was optimized for lightweight design.

[0056] Among them, the target stress threshold Based on the safety factor of the part (This can be adjusted according to actual conditions) Calculated. Specifically, , Indicates the first On the first part Yield strength of the material of each part.

[0057] The above thickness optimization method includes the following steps 17.21 to 17.24: Step 17.21, using the formula Calculate the first On the first part Minimum thickness of each part ; Indicates the current stress value. , This indicates the current thickness (i.e., the current thickness of the part, specifically the thickness of the part in the current garbage bin of the sweeper). This represents the magnified allowable stress. , This indicates the preset magnification factor (usually a value between 1 and 1.5). Indicates the first On the first part The allowable stress of the component material. It should be noted that this is based on the fundamental principle that stress decreases with increasing thickness and increases with decreasing thickness, assuming that the product of the current stress value and the current thickness of the component remains constant. The allowable stress is amplified (the purpose is to ensure that the stress of the component at its minimum thickness exceeds the allowable stress, i.e., to cover the allowable stress).

[0058] Step 17.22, in the thickness optimization range The Isight experiment was designed to produce several (generally) results. There are several thickness values. That is, the thickness optimization range is achieved through Isight. The process is performed to output several thickness values.

[0059] Step 17.23: For each thickness value, modify the finite element simulation model in the finite element simulation software according to that thickness value. On the first part The thickness of each part was determined, and a finite element simulation was performed on the modified finite element simulation model to obtain stress results, which included stress values.

[0060] Step 17.24: Find the stress value closest to the sum of all stress results. The thickness value corresponding to the stress result is used as the first On the first part The optimal thickness of each part is determined to achieve lightweight optimization.

[0061] In some embodiments of this application, adding a pad refers to thickening the mesh at the failure location of the part in the finite element simulation model (i.e., the mesh where the stress exceeds the allowable stress) by one layer. For example, the mesh thickness at the failure location can be increased in the finite element software, for example, by 2 mm.

[0062] It should be noted that when optimizing each part individually, the optimization can be performed sequentially: rear, bottom, front, and sides. In some optional examples, after each part is optimized, the optimal solution is updated in the simulation model before proceeding to the next part.

[0063] In summary, this application calculates the lifting coefficient of a part by using the difference between dynamic and static stress, thus achieving a quantitative characterization of the dynamic amplification effect. This transforms the dynamic state into a static state, reducing the computational load. Therefore, compared with existing dynamic optimization techniques, this application significantly saves computational resources. Furthermore, by comparing the predicted value with the target stress threshold, shape optimization + thickness optimization or only thickness optimization is applied to different paths, improving weight reduction efficiency while ensuring a safety margin. This greatly saves computational resources and reduces the difficulty of optimizing the garbage bin body of the sweeper.

[0064] The above description is the preferred embodiment of this application. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the principles described in this application, and these improvements and modifications should also be considered within the scope of protection of this application.

Claims

1. A method for optimizing the lightweight design of a sweeper's garbage bin, characterized in that, include: Establish a finite element simulation model of the garbage bin of the sweeper; In the finite element simulation model, the garbage bin of the sweeper is rotated around the lifting hinge according to the actual lifting state. Each change in the lifting angle is set as a lifting state by a preset degree until the lifting angle reaches the limit. The garbage bin of the sweeper truck is divided into four parts: front, rear, bottom, and sides. The front part is the front wall of the garbage bin, which is the side wall of the garbage bin adjacent to the front of the sweeper truck. The rear part is the rear wall of the garbage bin, which, along with the front wall, are two opposite side walls of the garbage bin. The bottom is the bottom surface of the garbage bin. The sides are the left and right side walls of the garbage bin. The stress values ​​of each part on each part under static lifting conditions in each lifting state are obtained, as well as the stress values ​​of each part on each part under dynamic lifting conditions in each lifting state. The static lifting condition is when the garbage bin of the sweeper is fully loaded and subjected to gravity only. The dynamic lifting condition is the entire dynamic process of the garbage bin of the sweeper gradually moving from the initial horizontal position to the limit position when it is fully loaded. Based on the stress value of each part in each location under static lifting conditions and the stress value of each part in each location under dynamic lifting conditions, the lifting coefficient of each location under each lifting condition is obtained. Based on the stress value of each part in each location under static lifting conditions in each lifting state, the lightweight lifting state of each location is determined from all lifting states. Based on the lifting coefficient of each part in the corresponding lightweight lifting state, and the stress value of each component in each part under the corresponding lightweight lifting state during static lifting conditions, the garbage bin of the sweeper is optimized for lightweight design.

2. The method for lightweighting and optimizing the garbage bin of a sweeper according to claim 1, characterized in that, The method of obtaining the lifting coefficient of each part in each lifting state based on the stress value of each part in each lifting state under static lifting conditions and the stress value of each part in each lifting state under dynamic lifting conditions includes: For each lifting state, perform the following steps: The number is calculated using the following formula. The lifting coefficient of each part in the lifted state : ； ； in, Indicates the first The number of parts in each part , Indicates the first On the first part The magnification factor of each component. Indicates the first On the first part The stress value of each component under dynamic lifting conditions in the lifting state. Indicates the first On the first part The stress value of each component under static lifting conditions in the lifting state.

3. The method for lightweighting and optimizing the garbage bin of a sweeper according to claim 2, characterized in that, The process of determining the lightweight lifting state of each part based on the stress value of each component under static lifting conditions in each lifting state includes: Based on the stress value of each part in each location under static lifting conditions in each lifting state, calculate the stress value of each location in each lifting state. Based on the stress value of each part in each location under static lifting conditions in each lifting state, calculate the differential stress of each location in each lifting state; Based on the stress value and differential stress of each part under each lifting condition, the lightweight lifting condition of each part is determined from all lifting conditions.

4. The method for lightweighting and optimizing the garbage bin of a sweeper according to claim 3, characterized in that, The calculation of the stress value of each part under each lifting condition based on the stress value of each part under each lifting condition in a static lifting state includes: For each lifting state, perform the following steps: The number is calculated using the following formula. Stress values ​​at each location under the lifted state : 。 5. The method for lightweighting and optimizing the garbage bin of a sweeper according to claim 3, characterized in that, The calculation of differential stress for each part under each lifting condition, based on the stress value of each part under each lifting condition in a static lifting state, includes: For each lifting state, perform the following steps: The number is calculated using the following formula. Differential stress at each location under the lifted state : ； in, Indicates the maximum stress value; ； Indicates the first On the first part The part in the first The stress value under static lifting conditions in a lifting state. , Indicates the number of lifting states.

6. The method for lightweighting and optimizing the garbage bin of a sweeper according to claim 5, characterized in that, The process of determining the lightweight lifting state of each part from all lifting states based on the stress value and differential stress of each part under each lifting state includes: For each part separately, if the part is in the first... The stress value in the lifting state is greater than the preset stress value, and this part is in the [number]th [period]. If the differential stress in the first lifting state is less than the preset differential stress, then the first... The lifting state is used as the lightweight lifting state for this part.

7. The method for lightweighting and optimizing the garbage bin of a sweeper according to claim 6, characterized in that, The lightweight optimization of the sweeper's garbage bin, based on the lifting coefficient of each part under the corresponding lightweight lifting state and the stress value of each component on each part under the corresponding lightweight lifting state static lifting condition, includes: Regarding the first For each part, perform the following steps: Through formula Calculate the first On the first part Optimization ratio of individual parts If the optimization ratio If the ratio is less than or equal to the optimization ratio threshold, then determine the first... On the first part This part is a lightweight component; Based on the The lift coefficient of each part in the lightweight lifting state is calculated. On the first part The expected stress value of each component in the corresponding lightweight lifting state. Based on this predicted stress value The first on this part Each component was optimized for lightweight design; in, Indicates the first On the first part The quality of each part Indicates the first On the first part The stress value of a component under static lifting conditions in a lightweight lifting state at this location.

8. The method for lightweighting and optimizing the garbage bin of a sweeper according to claim 7, characterized in that, The basis of the first The lift coefficient of each part in the lightweight lifting state is calculated. On the first part The expected stress value of each component in the corresponding lightweight lifting state. ,include: The number is calculated using the following formula. On the first part Expected stress value of the component in the lightweight lifting state at this location : ； in, Indicates the first The lift factor of each part in the lightweight lifting state of this part.

9. The method for lightweighting and optimizing the garbage bin of a sweeper according to claim 8, characterized in that, The based on the predicted stress value The first on this part Each component underwent lightweight optimization, including: If the predicted stress value Less than or equal to the target stress threshold Then, the thickness optimization method is used for the first... On the first part Each component was optimized for lightweight design; If the predicted stress value Greater than the target stress threshold Then give the first On the first part Add a shim to the first part, and then use a thickness optimization method to optimize the first part. On the first part Each component was optimized for lightweight design.

10. The method for lightweighting and optimizing the garbage bin of a sweeper according to claim 9, characterized in that, The thickness optimization method is as follows: Through formula Calculate the first On the first part Minimum thickness of each part ; Indicates the current stress value. , Indicates the current thickness. This represents the magnified allowable stress. , This indicates the preset magnification factor. Indicates the first On the first part Allowable stress of the material of each component; In the thickness optimization range An Isight experiment was conducted inside the lab, and several thickness values ​​were obtained. For each thickness value, modify the finite element simulation model in the finite element simulation software according to that thickness value. On the first part The thickness of each part was determined, and finite element simulation was performed on the modified finite element simulation model to obtain stress results. The stress value closest to all stress results The thickness value corresponding to the stress result is used as the first On the first part The optimal thickness of each part.

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