Fan reinforcing structure design automation method and device

Abstract

A fan reinforcing structure design automation method comprises the steps of generating a fan parameter data set, selecting a parameter combination from the fan parameter data set, and calculating a stress displacement combination of a notebook computer bottom shell and a fan shell according to the parameter combination. Performing optimization operation according to the stress displacement combination of the notebook computer bottom shell and the fan shell to obtain fan supporting rib design parameters; and calculating the current stress displacement of the notebook computer bottom shell and the current stress displacement of the fan shell according to the fan supporting rib design parameters.

Description

TECHNICAL FIELD

[0001] The present application relates to a notebook computer fan structure design, and more particularly to a notebook computer fan reinforcement structure design automation method and apparatus. BACKGROUND

[0002] In notebook computer fan design, the prior art method is to manually draw fan drawings by engineers after determining design requirements, and then hand over the drawings to the computer-aided engineering (CAE) department to verify the structural strength using finite element analysis (FEM), and repeatedly adjust the strength between the two steps until the design requirements are met. This process requires a large amount of manpower and is highly dependent on the experience of engineers.

[0003] A common problem in fan design is the structural strength balance of the notebook computer bottom cover (D Cover) and the fan cover (Fan Cover). The previous technology of structural reinforcement is to add fan support ribs (Rib) to the fan cover. However, such an approach can cause the structural strength of the notebook computer bottom cover and the fan cover to interact, that is, if the notebook computer bottom cover structure is strengthened, the strength of the fan cover structure may decrease and cannot meet the design requirements, and vice versa. This strength balance is difficult to achieve in the initial design, so the process of drawing drawings and analysis and verification usually requires repeated communication and adjustment between the organization and the CAE department, which greatly increases the cost of software and hardware and the time cost of analysis, and may even cause the production schedule to be delayed. Therefore, how to efficiently complete the fan design while achieving the structural strength balance of the notebook computer bottom cover and the fan cover is an important problem. SUMMARY

[0004] According to an embodiment of the present application, a fan reinforcement structure design automation method includes generating a fan parameter data set, selecting a parameter combination in the fan parameter data set, determining the stress displacement combination of the notebook computer bottom cover and the fan cover according to the parameter combination, performing optimization operation on the stress displacement combination of the notebook computer bottom cover and the fan cover to obtain fan support rib design parameters, and calculating the current stress displacement of the notebook computer bottom cover and the current stress displacement of the fan cover according to the fan support rib design parameters.

[0005] Preferably, wherein the fan parameter data set is generated according to a fan size, a fan shape, a mesh height, a notebook computer bottom cover thickness, a fan cover thickness, and / or a fan support rib length.

[0006] Preferably, wherein if the current forced displacement of the notebook computer bottom case and the current forced displacement of the fan housing meet a design requirement, then the maximum forced displacement of the notebook computer bottom case and the fan housing are calculated.

[0007] Preferably, wherein if the current forced displacement of the notebook computer bottom case and the current forced displacement of the fan housing do not meet a design requirement, then a parameter combination that has not been selected is re-selected in the fan parameter data set.

[0008] Preferably, wherein performing the optimization operation according to the forced displacement combination of the notebook computer bottom case and the fan housing to obtain the fan support rib design parameters comprises performing the optimization operation according to a notebook computer bottom case displacement under pressure, a fan housing displacement under pressure, a penalty coefficient, a notebook computer bottom case displacement threshold, and a fan housing displacement threshold.

[0009] Preferably, wherein the optimization operation uses an objective function as follows:

[0010] F(u d ,u c ,t d ,t c )=1×(u d ) 2 +1×(u c ) 2 +P(u d ,t d )+P(u c ,t c )

[0011]

[0012] wherein:

[0013] u d is a notebook computer bottom case displacement under pressure;

[0014] u c is a fan housing displacement under pressure;

[0015] P(u,t) is a penalty term for the notebook computer bottom case displacement under pressure or the fan housing displacement under pressure exceeding a design threshold;

[0016] f p is a penalty coefficient;

[0017] t d is a notebook computer bottom case displacement threshold; and

[0018] t c is a fan housing displacement threshold.

[0019] According to another embodiment of the present application, a fan reinforcement structure design automation device includes a processor and a memory. The memory is used to store instructions. The instructions are executed by the processor to perform: generating a fan parameter data set, selecting a parameter combination from the fan parameter data set, calculating a stress displacement combination of a notebook computer bottom shell and a fan housing according to the parameter combination, performing an optimization operation according to the stress displacement combination of the notebook computer bottom shell and the fan housing to obtain a fan support rib design parameter, and calculating a current stress displacement of the notebook computer bottom shell and a current stress displacement of the fan housing according to the fan support rib design parameter.

[0020] Preferably, wherein the fan parameter data set is generated according to a fan size, a fan shape, a mesh height, a notebook computer bottom shell thickness, a fan housing thickness, and / or a fan support rib length.

[0021] Preferably, wherein if the current stress displacement of the notebook computer bottom shell and the current stress displacement of the fan housing meet a design requirement, the processor calculates a maximum stress of the notebook computer bottom shell and the fan housing.

[0022] Preferably, wherein if the current stress displacement of the notebook computer bottom shell and the current stress displacement of the fan housing do not meet a design requirement, the processor reselects an unselected parameter combination from the fan parameter data set.

[0023] Preferably, wherein performing the optimization operation according to the stress displacement combination of the notebook computer bottom shell and the fan housing to obtain the fan support rib design parameter includes performing the optimization operation according to a notebook computer bottom shell displacement after compression, a fan housing displacement after compression, a penalty coefficient, a notebook computer bottom shell displacement threshold, and a fan housing displacement threshold.

[0024] Preferably, wherein the optimization operation uses an objective function as follows:

[0025] F(u d ,u c ,t d ,t c )=1×(u d ) 2 +1×(u c ) 2 +P(u d ,t d )+P(u c ,t c )

[0026]

[0027] wherein:

[0028] u d is a displacement of a notebook bottom case after being pressed;

[0029] u c is a displacement of a fan case after being pressed;

[0030] P(u,t) is a penalty term for the displacement of the notebook bottom case or the displacement of the fan case after being pressed exceeding a design threshold;

[0031] f p is a penalty coefficient;

[0032] t d is a displacement threshold of a notebook bottom case; and

[0033] t c is a displacement threshold of a fan case.

[0034] BRIEF DESCRIPTION OF DRAWINGS

[0035] Figure 1 is a schematic diagram of insufficient strength of a fan case of a notebook computer fan according to an embodiment of the present application.

[0036] Figure 2 is a schematic diagram of insufficient strength of a notebook bottom case of a notebook computer fan according to an embodiment of the present application.

[0037] Figure 3 is a flowchart of a fan reinforcement structure design automation method according to an embodiment of the present application.

[0038] Figure 4 is Figure 3 a flowchart of step S303.

[0039] Figure 5 is a schematic diagram of an optimization solving process according to an embodiment of the present application.

[0040] Figure 6 is a schematic diagram of a fan reinforcement structure design automation apparatus according to an embodiment of the present application

[0041] SYMBOL DESCRIPTIONS

[0042] 1, 2: notebook computer fan

[0043] D1, D1', D2, D2': notebook bottom case

[0044] C1, C11, C12, C11', C12', C2, C21, C22, C21', C22': fan case

[0045] H1, H2: fan shaft

[0046] B1, B2: fan blade

[0047] R11, R12, R21, R22: fan support rib

[0048] E1, E2: impact position

[0049] F1, F2: external force

[0050] 3: fan reinforcement structure design automation method

[0051] S301-S309, S401-S404: step

[0052] P1, P2, P3, P4: point

[0053] 6: fan reinforcement structure design automation device

[0054] 61: central processing unit

[0055] 62: graphical user interface

[0056] 63: display device

[0057] 64: input device

[0058] 65: memory

IMPLEMENTATION

[0059] In fan design, the structural strength balance between the notebook computer bottom cover (D Cover) and the fan cover (Fan Cover) is an important issue. The common structural reinforcement method is to add fan support ribs (Rib) on the fan cover, however, such an approach will cause the structural strength of the notebook computer bottom cover and the fan cover to appear mutual effects, such as Figure 1 and Figure 2 .

[0060] Figure 1 Fig. 1 is a schematic diagram of a notebook computer fan 1 according to an embodiment of the present application. As shown in Figure 1 , the notebook computer fan 1 includes a notebook computer bottom cover D1, a fan cover C1, a fan shaft H1, and a fan blade B1. The fan shaft H1 and the fan blade B1 are located in the fan cover C1, and the fan cover C1 includes upper fan covers C11 and C12. Fan support ribs R11 and R12 are respectively located between the fan covers C11 and C12 and the notebook computer bottom cover D1, for stabilizing the structure of the notebook computer fan 1. Figure 1The description refers to a situation where the strength of the fan housing C11 and C12 is insufficient. Specifically, after reinforcing the structure of the laptop's bottom casing D1, the strength of the fan housing C1 structure decreases, failing to meet design requirements. For example... Figure 1 As shown, when the laptop fan 1 is subjected to an external force F1 from above, the laptop bottom shell D1 deforms as shown by the dashed line D1'. The external force F1 is applied to the fan housings C11 and C12 through the fan support ribs R11 and R12, causing the fan housings C11 and C12 to displace as shown by the dashed lines C11' and C12', respectively. Because the fan housings C11 and C12 are not strong enough in this embodiment, they may displace excessively after deformation under external force, resulting in an impact at position E1 and damaging the fan blades B1.

[0061] Figure 2 This is a schematic diagram illustrating insufficient strength of the laptop bottom casing in a laptop fan 2 according to an embodiment of the present invention. Figure 2 As shown, the laptop fan 2 includes a laptop bottom shell D2, a fan housing C2, a fan shaft H2, and fan blades B2. The fan shaft H2 and fan blades B2 are located inside the fan housing C2. The fan housing C2 includes upper fan housings C21 and C22. Fan support ribs R21 and R22 are located between the fan housings C21 and C22 and the laptop bottom shell D2, respectively, to stabilize the structure of the laptop fan 2. Figure 2 The description refers to a situation where the strength of the laptop's bottom casing D2 is insufficient. Specifically, after reinforcing the structure of the fan housing C2, the strength of the laptop's bottom casing D2 structure decreases, failing to meet design requirements. For example... Figure 2 As shown, when the laptop fan 2 is subjected to an external force F2 from above, the laptop bottom shell D2 deforms as shown by the dashed line D2'. The external force F2 is applied to the fan housings C21 and C22 through the fan support ribs R21 and R22, causing the fan housings C21 and C22 to displace as shown by the dashed lines C21' and C22', respectively. Because the laptop bottom shell D2 is not strong enough in this embodiment, it may displace excessively after deformation under external force, resulting in an impact at position E2 and damaging the fan shaft H2.

[0062] Whether Figure 1 The problem is that the casing of the central fan is not strong enough, or Figure 2 Insufficient strength in the bottom casing of a laptop can damage the fan. Therefore, the fan support rib design needs to be adjusted to achieve a structural strength balance between the laptop's bottom casing and the fan housing. Figure 3This is a flowchart of an automated fan reinforcement structure design method 3 according to an embodiment of the present invention. The automated fan reinforcement structure design method 3 includes steps S301 to S309. Any reasonable technical changes or adjustments to the steps fall within the scope of this invention. Steps S301 to S309 are as follows:

[0063] Step S301: Define fan parameters and range;

[0064] Step S302: Select parameter combinations;

[0065] Step S303: Optimization design;

[0066] Step S304: Calculate the current force-displacement;

[0067] Step S305: Does it meet the design requirements? If yes, proceed to step S308; if no, proceed to step S306.

[0068] Step S306: Have all parameters been tried? If yes, proceed to step S307; if no, proceed to step S302.

[0069] Step S307: Adjust the design; End method 3;

[0070] Step S308: Calculate the maximum force;

[0071] Step S309: Output the result; end method 3.

[0072] In step S301, fan parameters and their ranges are defined to generate a fan parameter dataset. Fan parameters may include, but are not limited to, parameters such as fan size, fan shape, mesh height, laptop bottom shell thickness, fan housing thickness, and / or fan support rib length. The parameter range is an acceptable range set by the user. In step S302, one or more parameter combinations are selected from the fan parameter dataset generated in step S301. Each parameter combination corresponds to a fan design.

[0073] Next, in step S303, optimization design is performed. Optimization design involves obtaining the design parameters of the fan support ribs using optimization calculations. Details of step S303 can be found in [reference needed]. Figure 4 . Figure 4 for Figure 3 The flowchart for step S303 is shown below. Step S303 includes steps S401 to S404, and any reasonable technical changes or adjustments to the steps fall within the scope of this invention. Steps S401 to S404 are as follows:

[0074] Step S401: Calculate the force-displacement ratio;

[0075] Step S402: setting a target function;

[0076] Step S403: selecting an algorithm;

[0077] Step S404: iterative solution.

[0078] In step S401, according to the selected one or multiple sets of parameter combinations in step S302, the stress displacement of the notebook computer bottom shell and the stress displacement of the fan shell corresponding to each set of parameter combinations in the parameter combinations are calculated under a specific external force, which can be set by the user. The calculation method can be through a trained neural network model, but is not limited thereto. For example, if 3 sets of parameter combinations are selected from the fan parameter data set in step S302, then in step S401, the stress displacement of the notebook computer bottom shell and the stress displacement of the fan shell corresponding to each set of parameter combinations in the 3 sets of parameter combinations are calculated under a specific external force, to obtain 3 sets of stress displacement combinations of the notebook computer bottom shell and the fan shell.

[0079] In step S402, the target function to be used in the optimization operation is set. In the present embodiment, the target function can be as follows:

[0080] F(u d ,u c ,t d ,t c )=1×(u d ) 2 +1×(u c ) 2 +P(u d ,t d )+P(u c ,t c )

[0081]

[0082] wherein u d is the displacement of the notebook computer bottom shell after being pressed; u c is the displacement of the fan shell after being pressed;

[0083] P(u,t) is the penalty term for the displacement of the notebook computer bottom shell or the displacement of the fan shell exceeding the design threshold; f p is the penalty coefficient; t d is the displacement threshold of the notebook computer bottom shell; t c is the displacement threshold of the fan shell. In the present embodiment, f pis set to 100. For example, if three sets of notebook computer chassis and fan housing force displacement combinations (u1 d , u1 c ), (u2 d , u2 c ), (u3 d , u3 c ) are obtained in step S401, where u1 d , u2 d , u3 d are displacements of the notebook computer chassis after being pressed, and u1 c , u2 c , u3 c are displacements of the fan housing after being pressed. For example, if the values of (u1 d , u1 c ) are (10, 3), and the notebook computer chassis displacement threshold t d is 5; the fan housing displacement threshold t c is 5, since the displacement u1 d of the notebook computer chassis after being pressed is greater than the notebook computer chassis displacement threshold t d (10 > 5), the penalty term must be calculated, the penalty term P(u, t) = f p × (u - t) = 100 × (u1 d - t d ) = 100 × (10 - 5) = 500. Since the displacement u1 c of the fan housing after being pressed is less than the fan housing displacement threshold t c (3 < 5), the penalty term for the fan housing displacement exceeding the design threshold is zero. Substituting u1 d , u1 c and the penalty term into the objective function, F(u d , u c , t d , t c ) = 1 × (10) 2 + 1 × (3) 2 + 500 + 0 = 609. Thus, the objective function value of (u1 d , u1 c ) is 609, and the objective function value of each set of notebook computer chassis and fan housing force displacement combinations can be calculated in the same way. The objective of the present case is to find the solution that minimizes the objective function value. In some embodiments, the objective function can be: F(u d , u c , t d , t c ) = a × (ud ) 2 +b×(u c ) 2 +P(u d ,t d )+P(u c ,t c ), where a and b are coefficients and can be adaptively adjusted to different values. In the above embodiment, both a and b are 1; however, the present invention is not limited thereto. In other embodiments, different objective functions and different methods of calculating penalty terms can be defined, and the invention is not limited thereto.

[0084] In step S403, an algorithm for optimization is selected. This algorithm can be the Differential Evolution (DE) optimization algorithm, a global optimization algorithm commonly used for nonlinear and multidimensional function problems. Its principle is to iteratively improve a population of candidate solutions to search for the optimal solution. Its advantages include simple structure, stable computation, and high efficiency. In other embodiments, different algorithms can be selected, and this is not a limitation.

[0085] After setting the objective function and determining the algorithm, iterative solution begins in step S404. The iterative solution system involves repeatedly calculating under the selected algorithm to gradually improve the solution towards the optimal solution. Each iteration generates a new solution until the solution meets the user-defined conditions or reaches the user-defined maximum number of iterations. This method efficiently finds a better combination of force and displacement between the laptop's bottom casing and the fan housing. Based on this combination of force and displacement, its parameter set (i.e., the set of parameters used in step S401 to generate the force and displacement combination of the laptop's bottom casing and the fan housing) can be obtained. This set of parameters includes the design parameters of the support ribs (e.g., the support rib length). In other words, this method can obtain the optimal solution for the support rib design, but it is not limited to this.

[0086] Figure 5 This is a schematic diagram of the optimization solution process according to an embodiment of the present invention. Figure 5 As shown, the horizontal axis represents the force displacement u of the laptop's bottom casing. d The vertical axis represents the force displacement u of the fan casing. c The values ​​at the points on the graph represent the objective function values ​​derived from the combined force and displacement of the laptop's bottom casing and fan housing. In the graph, Gen 0-3 represent different numbers of iterations, such as... Figure 5As shown, each iteration selects the current best solution (i.e., the solution with the smallest objective function value) from three sets of force-displacement combinations of the laptop's bottom casing and fan casing, as well as the solution obtained from the previous iteration. This process gradually moves towards the best solution through several iterations until the solution meets the user-defined conditions or reaches the user-defined maximum number of iterations. Figure 5 For example, the user can set the condition as the displacement u of the laptop's bottom casing under force. d The force displacement u of the fan housing c Stop when all values ​​are less than 0.5. Figure 5 Point P1 in the diagram represents the current best solution obtained after the first iteration (Gen 0); point P2 represents the current best solution obtained after the second iteration (Gen 1); point P3 represents the current best solution obtained after the third iteration (Gen 2); and point P4 represents the current best solution obtained after the fourth iteration (Gen 3). Figure 5 As shown, in the process of iteration, the result will gradually move towards a better solution and form a... Figure 5 The optimization path is used to efficiently find the optimal combination of force and displacement between the laptop's bottom casing and the fan casing. Based on this combination of force and displacement, the parameter combination can be obtained, and the optimal solution for the included parameters can be obtained from this parameter combination.

[0087] After completing the optimized design, in step S304, based on the optimal force-displacement combination of the laptop bottom shell and fan housing found in step S403, the corresponding current parameter combination is obtained. This current parameter combination may include the design parameters of the support ribs. Next, based on this current parameter combination, the current force-displacement of the laptop bottom shell and the fan housing under a specific external force is calculated. This calculation can be performed using a trained neural network model, but is not limited to this method. Then, in step S305, it is determined whether the current force-displacement of the laptop bottom shell and the fan housing calculated in step S304 meets the design requirements. The design requirements may include, but are not limited to, the laptop bottom shell displacement threshold t. d and fan housing displacement threshold t c .

[0088] If the calculated current displacement of the notebook computer bottom shell and the current displacement of the fan shell do not meet the design requirements in step S305, it is determined whether all parameters in the fan parameter data set generated in step S301 have been tried in step S306. If all parameters have been tried, the fan design or parameter setting is adjusted by the user in step S307, and the method 3 is ended. If there are still parameters that have not been used, step S302 is executed to reselect the parameter combination that has not been selected in the fan parameter data set, and the optimal design is performed again in the subsequent steps.

[0089] If the calculated current displacement of the notebook computer bottom shell and the current displacement of the fan shell meet the design requirements in step S305, the maximum stress of the notebook computer bottom shell and the fan shell corresponding to the current parameter combination of the fan design is calculated in step S308, the results are output in step S309, and the method 3 is ended. Through the fan reinforcement structure design automation method 3, the fan reinforcement structure is not limited by a single set of design parameters, the most effective reinforcement scheme can be obtained in a larger range, and the fan design parameter combination that meets the requirements can be quickly found, the structural strength balance of the notebook computer bottom shell and the fan shell is achieved, the development time, manpower, energy consumption cost are effectively reduced, and the reliability and stability of the fan design are improved.

[0090] Figure 6 A schematic diagram of a fan reinforcement structure design automation device 6 according to an embodiment of the present application. The fan reinforcement structure design automation device 6 can include a central processing unit (CPU) 61, a graphical user interface (GUI) 62, a display device 63, an input device 64, and a memory 65. The display device 63, the input device 64, and the memory 65 are coupled to the central processing unit (CPU) 61. The user can interact with and operate the graphical user interface 62 on the display device 63 through the input device 64, such as defining fan parameters and ranges or setting objective functions. The input device 64 can be a mouse, a touchpad, or a keyboard. The memory 65 can store instructions, and the CPU 61 can execute the instructions stored in the memory 65 to perform the fan reinforcement structure design automation method.

[0091] Through the fan reinforcement structure design automation method and device of the present application, the fan design parameter combination that meets the requirements can be quickly found, the efficiency and accuracy of the fan design can be significantly improved compared to the traditional manual analysis method, the development time, manpower, and energy consumption cost are reduced, and the reliability and stability of the fan design are improved.

[0092] The above merely describes preferred embodiments of the present application, and any equivalent changes and modifications made according to the claims of the present application shall fall within the scope of the present application.

Claims

1. An automated method for designing a fan reinforcement structure, characterized in that, Include: Generate a fan parameter dataset; Select a parameter combination from the aforementioned fan parameter data set; Calculate the force-displacement combination of the bottom shell and fan shell of a laptop computer based on the parameter combination; An optimization calculation is performed based on the force-displacement combination of the laptop bottom shell and the fan housing to obtain the design parameters for a fan support rib; and Calculate a current force displacement of the laptop bottom shell and a current force displacement of the fan housing based on the design parameters of the fan support rib.

2. The method as described in claim 1, characterized in that, The fan parameter data set is generated based on a fan size, a fan shape, a mesh height, a laptop bottom shell thickness, a fan housing thickness, and / or a fan support rib length.

3. The method as described in claim 1, characterized in that, If the current force displacement of the laptop bottom shell and the current force displacement of the fan shell meet a design requirement, then the maximum force on the laptop bottom shell and the fan shell is calculated.

4. The method as described in claim 1, characterized in that, If the current force displacement of the laptop bottom shell and the current force displacement of the fan shell do not meet a design requirement, then a parameter combination that has not been selected before will be reselected from the fan parameter data set.

5. The method as described in claim 1, characterized in that, The optimization calculation to obtain the fan support rib design parameters based on the force-displacement combination of the laptop bottom shell and the fan shell includes performing the optimization calculation based on the displacement of the laptop bottom shell under pressure, the displacement of the fan shell under pressure, a penalty coefficient, a laptop bottom shell displacement threshold, and a fan shell displacement threshold.

6. The method as described in claim 1, characterized in that, The optimization operation described above uses an objective function, as follows: F(u d ,u c ,t d ,t c )=1×(u d ) 2 +1×(u c ) 2 +P(u d ,t d )+P(u c ,t c ) in: u d The displacement of the bottom casing of a laptop computer after being compressed; u c This represents the displacement of a fan casing after it is compressed. P(u,t) is the penalty for the displacement of the bottom shell of the laptop computer or the displacement of the fan shell after being pressed exceeding the design threshold; f p It is a penalty coefficient; t d For a laptop computer bottom case displacement threshold; and t c This is the threshold for the displacement of a fan housing.

7. An automated device for designing a fan reinforcement structure, characterized in that, Include: A processor; and A memory for storing an instruction, wherein the instruction is executed by the processor: Generate a fan parameter dataset; Select a parameter combination from the aforementioned fan parameter data set; Calculate the force-displacement combination of the bottom shell and fan shell of a laptop computer based on the parameter combination; An optimization calculation is performed based on the force-displacement combination of the laptop bottom shell and the fan housing to obtain the design parameters for a fan support rib; and Calculate a current force displacement of the laptop bottom shell and a current force displacement of the fan housing based on the design parameters of the fan support rib.

8. The apparatus as claimed in claim 7, characterized in that, The fan parameter data set is generated based on a fan size, a fan shape, a mesh height, a laptop bottom shell thickness, a fan housing thickness, and / or a fan support rib length.

9. The apparatus as claimed in claim 7, characterized in that, If the current force displacement of the laptop bottom case and the current force displacement of the fan housing meet a design requirement, then the processor calculates the maximum force on the laptop bottom case and the fan housing.

10. The apparatus as claimed in claim 7, characterized in that, If the current force displacement of the laptop bottom shell and the current force displacement of the fan shell do not meet a design requirement, the processor will reselect a parameter combination that has not been selected from the fan parameter data set.

11. The apparatus as claimed in claim 7, characterized in that, The optimization calculation to obtain the fan support rib design parameters based on the force-displacement combination of the laptop bottom shell and the fan shell includes performing the optimization calculation based on the displacement of the laptop bottom shell under pressure, the displacement of the fan shell under pressure, a penalty coefficient, a laptop bottom shell displacement threshold, and a fan shell displacement threshold.

12. The apparatus as claimed in claim 7, characterized in that, The optimization operation described above uses an objective function, as follows: F(u d ,u c ,t d ,t c )=1×(u d ) 2 +1×(u c ) 2 +P(u d ,t d )+P(u c ,t c ) in: u d The displacement of the bottom casing of a laptop computer after being compressed; u c This represents the displacement of a fan casing after it is compressed. P(u,t) is the penalty for the displacement of the bottom shell of the laptop computer or the displacement of the fan shell after being pressed exceeding the design threshold; f p It is a penalty coefficient; t d For a laptop computer bottom case displacement threshold; and t c This is the threshold for the displacement of a fan housing.

Images