Method and device for determining performance of special-shaped filter tip

Abstract

The invention provides a method and device for determining the performance of a special-shaped filter tip, and belongs to the technical field of computer aided design and the technical field of cigarette filter tips. The performance determination method of the special-shaped filter tip comprises the following steps: constructing a fluid dynamic model of the special-shaped filter tip; based on the fluid dynamic model, simulating to obtain the pressure drop of the fluid dynamic model, the smoke distribution proportion and the nicotine filtering efficiency of the inner core module and the smoke distribution proportion and the nicotine filtering efficiency of the outer core module; according to the smoke distribution proportion and the nicotine filtering efficiency of the inner core module and the smoke distribution proportion and the nicotine filtering efficiency of the outer core module, the total nicotine filtering efficiency of the hydrodynamic model is obtained through calculation; according to the pressure drop and the total nicotine filtering efficiency, the performance of a fluid dynamic model is determined, and the performance of the fluid dynamic model represents the performance of the special-shaped filter tip.

Description

Technical Field

[0001] The present disclosure relates to the technical fields of computer-aided design and cigarette filter tips, and in particular to a method and device for determining the performance of a special-shaped filter tip. Background Art

[0002] As a crucial component of cigarettes, filters effectively filter harmful components from smoke, and their performance directly impacts consumers' smoking experience and health. Among them, custom-shaped filters have garnered significant attention for their harm reduction capabilities and improved smoking experience.

[0003] In the relevant art, filter performance evaluation methods primarily include experimental analysis and simulation. Experimental analysis typically relies on complex instrumentation and specialized operations, resulting in long testing cycles and high costs. Furthermore, simulation methods struggle to analyze dynamic changes during actual puffing. Simulation results often deviate significantly from experimental analysis, especially for filter shapes with complex smoke flow patterns, where simulation accuracy is even lower. Summary of the Invention

[0004] In view of this, in order to at least partially solve the above-mentioned technical problems, the present disclosure provides a method and device for determining the performance of a special-shaped filter.

[0005] According to an embodiment of the first aspect of the present disclosure, a method for determining the performance of a special-shaped filter is provided, comprising: constructing a fluid dynamics model of the special-shaped filter, the special-shaped filter comprising an inner core and an outer core distributed along a radial direction, the fluid dynamics model comprising an inner core module for characterizing the physical properties of the inner core and an outer core module for characterizing the physical properties of the outer core; simulating the pressure drop of the fluid dynamics model, the smoke distribution ratio and nicotine filtration efficiency of the inner core module, and the smoke distribution ratio and nicotine filtration efficiency of the outer core module based on the fluid dynamics model; calculating the total nicotine filtration efficiency of the fluid dynamics model based on the smoke distribution ratio and nicotine filtration efficiency of the inner core module, and the smoke distribution ratio and nicotine filtration efficiency of the outer core module; and determining the performance of the fluid dynamics model based on the pressure drop and the total nicotine filtration efficiency, wherein the performance of the fluid dynamics model characterizes the performance of the special-shaped filter.

[0006] According to an embodiment of the present disclosure, the above-mentioned construction of the fluid dynamics model of the special-shaped filter includes: constructing the fluid dynamics model of the special-shaped filter according to the porosity of the inner core, the cross-sectional area of ​​the inner core, the porosity of the outer core, and the cross-sectional area of ​​the outer core.

[0007] According to an embodiment of the present disclosure, calculating the total nicotine filtration efficiency of the fluid dynamics model based on the smoke distribution ratio and nicotine filtration efficiency of the inner core module, and the smoke distribution ratio and nicotine filtration efficiency of the outer core module includes: obtaining the fractional nicotine filtration efficiency of the inner core module based on the smoke distribution ratio and nicotine filtration efficiency of the inner core module; obtaining the fractional nicotine filtration efficiency of the outer core module based on the smoke distribution ratio and nicotine filtration efficiency of the outer core module; and calculating the total nicotine filtration efficiency based on the fractional nicotine filtration efficiency of the inner core module and the fractional nicotine filtration efficiency of the outer core module.

[0008] According to an embodiment of the present disclosure, the above-mentioned total nicotine filtration efficiency is calculated by the following formula: total nicotine filtration efficiency = smoke distribution ratio of the inner core module × nicotine filtration efficiency of the inner core module + smoke distribution ratio of the outer core module × nicotine filtration efficiency of the outer core module.

[0009] According to an embodiment of the present disclosure, determining the performance of the fluid dynamics model based on the pressure drop and the total nicotine filtration efficiency includes calculating a quality factor based on the pressure drop and the total nicotine filtration efficiency, and evaluating the performance of the fluid dynamics model using the quality factor, wherein the quality factor is used to characterize a balance between the pressure drop and the total nicotine filtration efficiency.

[0010] According to an embodiment of the present disclosure, calculating the quality factor according to the pressure drop and the total nicotine filtration efficiency includes: constructing a logarithmic function based on the total nicotine filtration efficiency; and determining the quality factor according to the inverse of the pressure drop and the logarithmic function.

[0011] According to an embodiment of the present disclosure, the method for determining the performance of the above-mentioned special-shaped filter further includes: when the performance of the above-mentioned fluid dynamics model meets preset conditions, using the special-shaped filter corresponding to the above-mentioned fluid dynamics model as the target special-shaped filter.

[0012] According to an embodiment of the present disclosure, the performance determination method of the above-mentioned special-shaped filter tip also includes: when the performance of the above-mentioned fluid dynamics model does not meet the preset conditions, changing the design parameters of the above-mentioned fluid dynamics model to obtain an updated fluid dynamics model, and determining the performance of the above-mentioned updated fluid dynamics model until the performance of the updated fluid dynamics model meets the preset conditions.

[0013] According to an embodiment of the present disclosure, the above-mentioned design parameters include the porosity of the inner core, the cross-sectional area of ​​the inner core, the porosity of the outer core, and the cross-sectional area of ​​the outer core.

[0014] According to an embodiment of another aspect of the present disclosure, a device for determining the performance of a special-shaped filter is provided, comprising: a construction module for constructing a fluid dynamics model of the special-shaped filter, the special-shaped filter comprising an inner core and an outer core distributed along a radial direction, the fluid dynamics model comprising an inner core module for characterizing the physical properties of the inner core and an outer core module for characterizing the physical properties of the outer core; a simulation module for simulating, based on the fluid dynamics model, the pressure drop of the fluid dynamics model, the smoke distribution ratio and nicotine filtration efficiency of the inner core module, and the smoke distribution ratio and nicotine filtration efficiency of the outer core module; a calculation module for calculating the total nicotine filtration efficiency of the fluid dynamics model based on the smoke distribution ratio and nicotine filtration efficiency of the inner core module, and the smoke distribution ratio and nicotine filtration efficiency of the outer core module; and a determination module for determining the performance of the fluid dynamics model based on the pressure drop and the total nicotine filtration efficiency, wherein the performance of the fluid dynamics model represents the performance of the special-shaped filter.

[0015] Another aspect of the present disclosure provides an electronic device, comprising:

[0016] one or more processors;

[0017] a memory for storing one or more programs,

[0018] When the one or more programs are executed by the one or more processors, the one or more processors implement the method as described above.

[0019] Another aspect of the present disclosure provides a computer-readable storage medium storing computer-executable instructions, which are used to implement the method described above when executed.

[0020] Another aspect of the present disclosure provides a computer program product comprising computer executable instructions, which are used to implement the method described above when the instructions are executed.

[0021] According to the embodiments of the present disclosure, a fluid dynamics model is constructed that includes an inner core module and an outer core module. Based on the fluid dynamics model, the smoke distribution ratio and nicotine filtration efficiency of the inner core module and the smoke distribution ratio and nicotine filtration efficiency of the outer core module are simulated, and the total nicotine filtration efficiency is calculated based on this, achieving accurate calculation of the total nicotine filtration efficiency. The performance of the custom filter tip is then determined based on the pressure drop and the total nicotine filtration efficiency. This improves the accuracy of the performance evaluation of custom filters. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] The above and other objects, features and advantages of the present disclosure will become more apparent through the following description of the embodiments of the present disclosure with reference to the accompanying drawings, in which:

[0023] Figure 1 An exemplary system architecture of the method and apparatus for determining the performance of a special-shaped filter according to the embodiment of the present disclosure is schematically shown.

[0024] Figure 2 A flow chart of a method for determining the performance of a special-shaped filter according to an embodiment of the present disclosure is schematically shown.

[0025] Figure 3A The three-dimensional mesh model of the medium-length circular coaxial core filter according to Example 1 of the present disclosure is schematically shown.

[0026] Figure 3B The simulation results of the medium-length circular coaxial core filter at average speed according to Example 1 of the present disclosure are schematically shown.

[0027] Figure 3C The diagram schematically shows the change in nicotine filtration efficiency over time of the medium-length circular coaxial core filter according to Example 1 of the present disclosure.

[0028] Figure 3D The simulation results when the porosity of the inner core of the medium-length circular coaxial core filter according to Example 1 of the present disclosure is 0.8689 are schematically shown.

[0029] Figure 3E The simulation results when the porosity of the inner core of the medium-length circular coaxial core filter according to Example 1 of the present disclosure is 0.8889 are schematically shown.

[0030] Figure 3F The simulation results when the porosity of the outer core of the medium-length circular coaxial core filter according to Example 1 of the present disclosure is 0.9004 are schematically shown.

[0031] Figure 3G The simulation results when the porosity of the outer core of the medium-length circular coaxial core filter according to Example 1 of the present disclosure is 0.9204 are schematically shown.

[0032] Figure 3H The diagram schematically shows a medium-length circular coaxial core filter model with different inner core areas according to Example 1 of the present disclosure.

[0033] Figure 3I The schematic diagram shows that the inner core area of ​​the medium-length circular coaxial filter according to Example 1 of the present disclosure is 15.79 mm 2 The simulation results of .

[0034] Figure 3J The schematic diagram shows that the inner core area of ​​the medium-length circular coaxial filter according to Example 1 of the present disclosure is 9.35mm 2 The simulation results of .

[0035] Figure 3K The schematic diagram shows that the inner core area of ​​the medium-length circular coaxial filter according to Example 1 of the present disclosure is 6.61 mm 2 The simulation results of .

[0036] Figure 4A Schematically shows a three-dimensional mesh model of a thick plum blossom-shaped coaxial core filter according to Example 2 of the present disclosure;

[0037] Figure 4B Schematically shows the simulation results of the thick plum blossom-shaped coaxial core filter at average speed according to Example 2 of the present disclosure;

[0038] Figure 4C The diagram schematically shows the change in nicotine filtration efficiency over time of the thick plum blossom-shaped coaxial core filter according to Example 2 of the present disclosure.

[0039] Figure 4D The simulation results of the thick plum blossom-shaped coaxial filter with a porosity of 0.8282 according to Example 2 of the present disclosure are schematically shown.

[0040] Figure 4E The simulation results when the porosity of the inner core of the thick plum blossom-shaped coaxial core filter according to Example 2 of the present disclosure is 0.8482 are schematically shown.

[0041] Figure 4F The simulation results when the porosity of the outer core of the thick plum blossom-shaped coaxial core filter according to Example 2 of the present disclosure is 0.8989 are schematically shown.

[0042] Figure 4G The simulation results when the porosity of the outer core of the thick plum blossom-shaped coaxial core filter according to Example 2 of the present disclosure is 0.9189 are schematically shown.

[0043] Figure 4H The diagram schematically shows a thick plum blossom-shaped coaxial core filter model with different inner core areas according to Example 2 of the present disclosure.

[0044] Figure 4I The schematic diagram shows that the inner core area of ​​the thick plum blossom-shaped coaxial filter according to Example 2 of the present disclosure is 22.68mm 2 The simulation results of .

[0045] Figure 4J The schematic diagram shows that the inner core area of ​​the thick plum blossom-shaped coaxial filter according to Example 2 of the present disclosure is 13.61mm 2 The simulation results of .

[0046] Figure 4K The schematic diagram shows that the inner core area of ​​the thick plum blossom-shaped coaxial filter according to Example 2 of the present disclosure is 9.07mm 2 The simulation results of .

[0047] Figure 5 A block diagram schematically illustrates a device for determining performance of a Brayton cycle system according to an embodiment of the present disclosure; and

[0048] Figure 6 The block diagram schematically shows an electronic device suitable for implementing a method for determining the performance of a Brayton cycle system according to an embodiment of the present disclosure. DETAILED DESCRIPTION

[0049] Hereinafter, embodiments of the present disclosure will be described with reference to the accompanying drawings. However, it should be understood that these descriptions are merely exemplary and are not intended to limit the scope of the present disclosure. In the detailed description below, for ease of explanation, many specific details are set forth to provide a comprehensive understanding of the embodiments of the present disclosure. However, it is apparent that one or more embodiments may also be implemented without these specific details. In addition, in the following description, descriptions of well-known structures and technologies are omitted to avoid unnecessary confusion of the concepts of the present disclosure.

[0050] The terms used herein are only for describing specific embodiments and are not intended to limit the present disclosure. The terms "comprise," "include," etc. used herein indicate the presence of the features, steps, operations, and / or components, but do not exclude the presence or addition of one or more other features, steps, operations, or components.

[0051] All terms used herein (including technical and scientific terms) have the meanings commonly understood by those skilled in the art unless otherwise defined. It should be noted that the terms used herein should be interpreted as having a meaning consistent with the context of this specification and should not be interpreted in an idealized or overly rigid manner.

[0052] When expressions such as "at least one of A, B, and C, etc." are used, they should generally be interpreted in accordance with the meaning commonly understood by those skilled in the art (for example, "a system having at least one of A, B, and C" should include but is not limited to a system having A alone, B alone, C alone, A and B, A and C, B and C, and / or A, B, C, etc.).

[0053] Filters play a central role in the health and user experience of cigarettes by regulating the efficiency of filtering harmful substances like nicotine and the resistance to draw. Ideal filter design balances high-efficiency filtration with low-resistance draw, achieving a balance between harm reduction and comfort.

[0054] A filter with a high nicotine filtration efficiency is more effective at filtering harmful substances from smoke, reducing the amount of harmful substances inhaled into the body and minimizing harm to the body. However, the harmful substance retention efficiency is generally approximately proportional to the pressure drop. A higher nicotine filtration efficiency often corresponds to a higher pressure drop, which can affect the smoothness of the draw and worsen the puffing experience. It can also exacerbate incomplete combustion, increasing the amount of harmful substances released during the puffing process.

[0055] In related technologies, filter performance evaluation methods mainly include experimental analysis and simulation. Among them, experimental analysis methods usually rely on complex instruments and professional operations, with long detection cycles, high costs, and difficulty in analyzing dynamic changes during actual smoking. Simulation methods usually have large deviations from experimental analysis results, especially for special-shaped filters with complex smoke flow, the simulation accuracy is even lower.

[0056] In view of this, an embodiment of the present disclosure provides a method for determining the performance of a special-shaped filter, comprising: constructing a fluid dynamics model of the special-shaped filter, the special-shaped filter comprising an inner core and an outer core distributed along the radial direction, the fluid dynamics model comprising an inner core module for characterizing the physical properties of the inner core and an outer core module for characterizing the physical properties of the outer core; based on the fluid dynamics model, simulating the pressure drop of the fluid dynamics model, the smoke distribution ratio and nicotine filtration efficiency of the inner core module, and the smoke distribution ratio and nicotine filtration efficiency of the outer core module; calculating the total nicotine filtration efficiency of the fluid dynamics model according to the smoke distribution ratio and nicotine filtration efficiency of the inner core module, and the smoke distribution ratio and nicotine filtration efficiency of the outer core module; determining the performance of the fluid dynamics model according to the pressure drop and the total nicotine filtration efficiency, and the performance of the fluid dynamics model characterizes the performance of the special-shaped filter.

[0057] Figure 1 The application scenario diagram of the performance determination method and device of the special-shaped filter according to the embodiment of the present disclosure is schematically shown.

[0058] like Figure 1 As shown, the application scenario 100 according to this embodiment may include a method and apparatus for determining the performance of a special-shaped filter. A network 104 is used as a medium for providing a communication link between a first terminal device 101, a second terminal device 102, a third terminal device 103, and a server 105. The network 104 may include various connection types, such as wired or wireless communication links or fiber optic cables.

[0059] A user may use a first terminal device 101, a second terminal device 102, or a third terminal device 103 to interact with a server 105 via a network 104 to receive or send messages, etc. Various communication client applications may be installed on the first terminal device 101, the second terminal device 102, or the third terminal device 103, such as shopping applications, web browser applications, search applications, instant messaging tools, email clients, social platform software, etc. (for example only).

[0060] The first terminal device 101 , the second terminal device 102 , and the third terminal device 103 may be various electronic devices having display screens and supporting web browsing, including but not limited to smart phones, tablet computers, laptop computers, desktop computers, and the like.

[0061] The server 105 may be a server that provides various services, such as a background management server (for example only) that supports websites browsed by users using the first terminal device 101, the second terminal device 102, and the third terminal device 103. The background management server may analyze and process received data such as user requests, and feed back processing results (e.g., web pages, information, or data obtained or generated based on user requests) to the terminal devices.

[0062] It should be noted that the performance determination method of the special-shaped filter provided in the embodiment of the present disclosure can generally be executed by the server 105. Accordingly, the performance determination device of the special-shaped filter provided in the embodiment of the present disclosure can generally be set in the server 105. The performance determination method of the special-shaped filter provided in the embodiment of the present disclosure can also be executed by a server or server cluster that is different from the server 105 and can communicate with the first terminal device 101, the second terminal device 102, the third terminal device 103 and / or the server 105. Accordingly, the performance determination device of the special-shaped filter provided in the embodiment of the present disclosure can also be set in a server or server cluster that is different from the server 105 and can communicate with the first terminal device 101, the second terminal device 102, the third terminal device 103 and / or the server 105.

[0063] It should be understood that Figure 1 The number of terminal devices, networks and servers in the embodiment is merely illustrative. Any number of terminal devices, networks and servers may be provided as required.

[0064] The following will be based on Figure 1 The scene described by Figures 2 to 6 The method for determining the performance of the special-shaped filter of the disclosed embodiment is described in detail.

[0065] Figure 2 A flow chart of a method for determining the performance of a special-shaped filter according to an embodiment of the present disclosure is schematically shown.

[0066] like Figure 2 As shown, the method for determining the performance of the special-shaped filter of this embodiment includes operations S210 to S240.

[0067] In operation S210 , a fluid dynamics model of a special-shaped filter is constructed. The special-shaped filter includes an inner core and an outer core distributed along a radial direction. The fluid dynamics model includes an inner core module for characterizing physical properties of the inner core and an outer core module for characterizing physical properties of the outer core.

[0068] In operation S220 , based on the fluid dynamics model, a pressure drop of the fluid dynamics model, a smoke distribution ratio and a nicotine filtration efficiency of the inner core module, and a smoke distribution ratio and a nicotine filtration efficiency of the outer core module are simulated and obtained.

[0069] In operation S230 , the total nicotine filtration efficiency of the fluid dynamics model is calculated based on the smoke distribution ratio and nicotine filtration efficiency of the inner core module and the smoke distribution ratio and nicotine filtration efficiency of the outer core module.

[0070] In operation S240 , the performance of the fluid dynamics model is determined according to the pressure drop and the total nicotine filtration efficiency, and the performance of the fluid dynamics model represents the performance of the special-shaped filter.

[0071] According to the embodiments of the present disclosure, a fluid dynamics model is constructed that includes an inner core module and an outer core module. Based on the fluid dynamics model, the smoke distribution ratio and nicotine filtration efficiency of the inner core module and the smoke distribution ratio and nicotine filtration efficiency of the outer core module are simulated, and the total nicotine filtration efficiency is calculated based on this, achieving accurate calculation of the total nicotine filtration efficiency. The performance of the custom filter tip is then determined based on the pressure drop and the total nicotine filtration efficiency. This improves the accuracy of the performance evaluation of custom filters.

[0072] In some embodiments of the present disclosure, in operation S210, in response to a received request to determine the performance of a special-shaped filter, the server may construct a fluid dynamics model for the special-shaped filter. The fluid dynamics model for the special-shaped filter may be a mathematical simulation model constructed using computational fluid dynamics methods for cigarette filters with unconventional geometric structures. Its core function may be to analyze the flow characteristics, material transport patterns, and related physical and chemical processes of smoke (fluid) within the special-shaped filter through numerical simulation to evaluate key indicators such as the filter's harm reduction performance and puff experience (e.g., resistance and aroma release). The geometric model can be constructed and meshed using design drawings, reverse engineering, or simplified processing. The fluid dynamics model is then constructed by combining physical models such as the continuity equation, momentum conservation equation, turbulence model, mass transfer and adsorption model, and parameter settings such as boundary conditions. Alternatively, the fluid dynamics model for the special-shaped filter can be constructed based on the porosity and cross-sectional area of ​​the inner core, the porosity and cross-sectional area of ​​the outer core, and the outer core.

[0073] In some embodiments of the present disclosure, in operation S220, a pressure drop of the fluid dynamics model can be simulated using computational fluid dynamics software at an average velocity (e.g., 17.5 mL / s) based on the fluid dynamics model. Furthermore, computational fluid dynamics software can be used to simulate the flue gas velocity at an average velocity (e.g., 17.5 mL / s) based on the fluid dynamics model to obtain the flue gas velocity when stable in the inner and outer core modules. The flow rate percentage of the flue gas entering the inner and outer core modules during the puffing process can then be calculated based on the cross-sectional areas of the inner and outer core modules. Furthermore, the nicotine filtration efficiency of the inner and outer core modules can be simulated under a preset puffing mode, such as the Health Canada Intense (HCI) mode.

[0074] In some embodiments of the present disclosure, in operation S230, the fractional nicotine filtration efficiency of the inner core module can be calculated based on the smoke distribution ratio and nicotine filtration efficiency of the inner core module. The fractional nicotine filtration efficiency of the outer core module can be calculated based on the smoke distribution ratio and nicotine filtration efficiency of the outer core module. The total nicotine filtration efficiency can be calculated based on the fractional nicotine filtration efficiency of the inner core module and the fractional nicotine filtration efficiency of the outer core module.

[0075] Illustratively, the total nicotine filtration efficiency is calculated using the following formula: total nicotine filtration efficiency = smoke distribution ratio of the inner core module × nicotine filtration efficiency of the inner core module + smoke distribution ratio of the outer core module × nicotine filtration efficiency of the outer core module.

[0076] The inner and outer cores of the special-shaped filter jointly determine the pressure drop and filtration efficiency of the entire filter. This disclosure comprehensively considers the impact of pressure drop and total nicotine filtration efficiency on performance, and proposes a quality factor to evaluate performance.

[0077] In some embodiments of the present disclosure, in operation S240, a quality factor can be calculated based on the pressure drop and total nicotine filtration efficiency, and the performance of the fluid dynamics model can be evaluated using the quality factor. The quality factor can be used to characterize the balance between pressure drop and total nicotine filtration efficiency. The quality factor comprehensively considers both pressure drop and total nicotine filtration efficiency, allowing for a comprehensive evaluation of the performance of a custom-shaped filter. Generally, a higher quality factor indicates better custom-shaped filter performance.

[0078] Optionally, the quality factor may be calculated according to the pressure drop and the total nicotine filtration efficiency, comprising: constructing a logarithmic function based on the total nicotine filtration efficiency; and determining the quality factor according to the inverse of the pressure drop and the logarithmic function.

[0079] For example, the quality factor can be calculated using the following formula (1):

[0080] (1)

[0081] Where QE is the quality factor, is the pressure drop; is the total nicotine filtration efficiency.

[0082] In some embodiments of the present disclosure, the method for determining the performance of a profiled filter may further include: if the performance of the fluid dynamics model satisfies a preset condition, selecting the profiled filter corresponding to the fluid dynamics model as a target profiled filter. Alternatively, the preset condition may be that the performance of the fluid dynamics model is greater than or equal to a preset value. Exemplarily, the preset condition may be that the quality factor of the fluid dynamics model is greater than or equal to a preset value.

[0083] In some embodiments of the present disclosure, quality factors under different design parameters can be determined, thereby providing certain guidance for the design and optimization of special-shaped filters.

[0084] According to an embodiment of the present disclosure, the method for determining the performance of a special-shaped filter may further include: if the performance of the fluid dynamics model does not meet a preset condition, changing the design parameters of the fluid dynamics model to obtain an updated fluid dynamics model, and determining the performance of the updated fluid dynamics model until the performance of the updated fluid dynamics model meets the preset condition. Exemplarily, the design parameters include the porosity of the inner core, the cross-sectional area of ​​the inner core, the porosity of the outer core, and the cross-sectional area of ​​the outer core.

[0085] For example, the porosity of the inner core can be reduced (other conditions remain unchanged), and the pressure drop and total nicotine filtration efficiency can be obtained using the above method, and the quality factor can be calculated.

[0086] For example, the porosity of the inner core can be increased (other conditions remain unchanged), and the pressure drop and total nicotine filtration efficiency can be obtained using the above method, and the quality factor can be calculated.

[0087] For example, the cross-sectional area of ​​the inner core can be changed (other conditions remain unchanged), and the pressure drop and total nicotine filtration efficiency can be obtained using the above method, and the quality factor can be calculated.

[0088] For example, the porosity of the outer core can be reduced (other conditions remain unchanged), and the pressure drop and total nicotine filtration efficiency can be obtained using the above method, and the quality factor can be calculated.

[0089] For example, the porosity of the outer core can be increased (other conditions remain unchanged), and the pressure drop and total nicotine filtration efficiency can be obtained using the above method, and the quality factor can be calculated.

[0090] For example, the cross-sectional area of ​​the outer core can be changed (other conditions remain unchanged), and the pressure drop and total nicotine filtration efficiency can be obtained using the above method, and the quality factor can be calculated.

[0091] The influence of the porosity and cross-sectional area of ​​the inner and outer cores on the quality factor can be comprehensively analyzed to summarize the influence of parameter changes on the pressure drop and total nicotine filtration efficiency during smoking, thereby providing a reference for the structural optimization of special-shaped filters.

[0092] The following is a further description of the technical solution of the present disclosure in conjunction with specific embodiments. It should be noted that the following examples are only used to illustrate the present disclosure and do not constitute a limitation of the present disclosure.

[0093] Example 1

[0094] The fluid dynamics model of a medium-length circular coaxial filter was constructed. The porosity of the inner core of the medium-length circular coaxial filter is 0.8789, the porosity of the outer core is 0.9104, the filter circumference is 19.79 mm, and the inner core area is 11.94 mm. 2 . Figure 3A The three-dimensional mesh model of the medium-length circular coaxial core filter according to Example 1 of the present disclosure is schematically shown. As shown in Figure 3, the fluid dynamics model includes an inner core module for characterizing the physical properties of the inner core and an outer core module for characterizing the physical properties of the outer core.

[0095] Based on the above fluid dynamics model, simulation was performed at an average velocity (17.5 mL / s) to obtain simulation results. Figure 3BThe simulation results of the medium-length circular coaxial filter at average speed according to Example 1 of the present disclosure are shown schematically. Among them, a is the velocity distribution cloud diagram of the axial section; b is the pressure distribution cloud diagram of the axial section; c is the velocity change diagram on the axis of the inner core; d is the velocity change diagram on the axis of the outer core. Figure 3B It can be seen that the pressure drop of the medium-core circular coaxial core filter is 824.5Pa, the inner core smoke flow accounts for 24.96%, and the outer core smoke flow accounts for 75.04%.

[0096] Based on the above fluid dynamics model, simulations were performed in HCI mode to obtain the nicotine filtration efficiency of the inner core and the nicotine filtration efficiency of the outer core. Figure 3C The diagram schematically shows the variation of nicotine filtration efficiency over time of a medium-length circular coaxial core filter according to Example 1 of the present disclosure. A is the variation of nicotine filtration efficiency over time of the inner core, and b is the variation of nicotine filtration efficiency over time of the outer core. Figure 3C The inner filter has a nicotine filtration efficiency of 33.94%, while the outer filter has a nicotine filtration efficiency of 18.08%. Combining the smoke distribution ratio between the inner and outer filters with the nicotine filtration efficiency, the nicotine filtration efficiency of the medium-length circular coaxial filter is calculated to be 22.04%. Combining the simulated pressure drop with the nicotine filtration efficiency, the quality factor is calculated to be 3.02.

[0097] The porosity of the inner core was set to 0.8689, and other conditions remained unchanged. Simulations were performed under average velocity and HCI mode (55 mL). Figure 3D The simulation results of the medium-length circular coaxial core filter tip with an inner core porosity of 0.8689 according to Example 1 of the present disclosure are schematically shown. Among them, a is the axial cross-section pressure distribution cloud diagram simulated at average speed; b is the axial cross-section velocity distribution cloud diagram simulated at average speed; c is the inner core filtration efficiency simulated over time under HCI mode; d is the outer core filtration efficiency simulated over time under HCI mode. Figure 3D It can be seen that when the porosity of the inner core is 0.8689, the pressure drop of the special-shaped filter is 858.2Pa, the flow rate of the inner core accounts for 22.67%, the total filtration efficiency is 22.66%, and the quality factor is calculated to be 2.99.

[0098] The porosity of the inner core was set to 0.8889, and other conditions remained unchanged. Simulations were performed under average velocity and HCI mode (55 mL). Figure 3E The simulation results of the medium-length circular coaxial core filter tip with an inner core porosity of 0.8889 according to Example 1 of the present disclosure are schematically shown. Among them, a is the axial cross-section pressure distribution cloud diagram simulated at average speed; b is the axial cross-section velocity distribution cloud diagram simulated at average speed; c is the inner core filtration efficiency variation over time simulated under HCI mode; d is the outer core filtration efficiency variation over time simulated under HCI mode. Figure 3E It can be seen that when the porosity of the inner core is 0.8889, the pressure drop of the special-shaped filter is 791.1Pa, the flow rate of the inner core accounts for 27.58%, the total filtration efficiency is 21.33%, and the quality factor is calculated to be 3.03.

[0099] The porosity of the outer core was set to 0.9004, and other conditions remained unchanged. Simulations were performed under average velocity and HCI mode (55 mL), respectively. Figure 3F The simulation results of the outer core of the medium-length circular coaxial filter tip according to Example 1 of the present disclosure when the porosity is 0.9004 are shown schematically. Among them, a is the axial cross-section pressure distribution cloud diagram simulated at the average speed; b is the axial cross-section velocity distribution cloud diagram simulated at the average speed; c is the inner core filtration efficiency variation over time simulated under the HCI mode; d is the outer core filtration efficiency variation over time simulated under the HCI mode. Figure 3F It can be seen that when the porosity of the outer core is 0.9004, the pressure drop of the special-shaped filter is 930.1Pa, the flow rate of the inner core accounts for 27.99%, the total filtration efficiency is 24.33%, and the quality factor is calculated to be 3.00.

[0100] The porosity of the outer core was set to 0.9204, and other conditions remained unchanged. Simulations were performed under average velocity and HCI modes (55 mL). Figure 3G The simulation results of the outer core of the medium-length circular coaxial filter tip according to Example 1 of the present disclosure when the porosity is 0.9204 are shown schematically. Among them, a is the axial cross-section pressure distribution cloud diagram simulated at the average speed; b is the axial cross-section velocity distribution cloud diagram simulated at the average speed; c is the inner core filtration efficiency simulation under the HCI mode and the time variation diagram; d is the outer core filtration efficiency simulation under the HCI mode and the time variation diagram. Figure 3G It can be seen that when the porosity of the outer core is 0.9204, the pressure drop of the special-shaped filter is 720.7Pa, the flow rate of the inner core accounts for 21.94%, the total filtration efficiency is 19.69%, and the quality factor is calculated to be 3.04.

[0101] Keeping the porosity of the inner and outer cores unchanged, the area of ​​the inner core is set to 15.79mm 2 , 9.35mm 2 , 6.61mm 2 . Construct the fluid dynamics model of three medium-length circular coaxial core filters with different inner core areas. Figure 3H The schematic diagram shows the model of the medium-length circular coaxial core filter with different inner core areas according to Example 1 of the present disclosure. Where a is the area of ​​the inner core, which is 15.79 mm 2 The medium-length circular coaxial filter model; b is the area of ​​the inner core, which is 9.35mm 2The medium-length circular coaxial filter model; c is the area of ​​the inner core, which is 6.61mm 2 The fluid dynamics models of three medium-length circular coaxial core filters with different inner core areas were simulated under average velocity and HCI mode (55 mL).

[0102] Figure 3I The schematic diagram shows that the inner core area of ​​the medium-length circular coaxial filter according to Example 1 of the present disclosure is 15.79 mm 2 Among them, a is the axial cross-section pressure distribution cloud diagram simulated under average speed; b is the axial cross-section velocity distribution cloud diagram simulated under average speed; c is the inner core filtration efficiency variation with time simulated under HCI mode; d is the outer core filtration efficiency variation with time simulated under HCI mode. Figure 3I It can be seen that the inner core area is 15.79mm 2 When the pressure drop of the special-shaped filter tip is 885.2Pa, the inner core flow rate accounts for 34.88%, the total filtration efficiency is 23.03%, and the calculated quality factor is 2.96.

[0103] Figure 3J The schematic diagram shows that the inner core area of ​​the medium-length circular coaxial filter according to Example 1 of the present disclosure is 9.35mm 2 Among them, a is the axial cross-section pressure distribution cloud diagram simulated under average speed; b is the axial cross-section velocity distribution cloud diagram simulated under average speed; c is the inner core filtration efficiency variation with time simulated under HCI mode; d is the outer core filtration efficiency variation with time simulated under HCI mode. Figure 3J It can be seen that the inner core area is 9.35mm 2 When the pressure drop of the special-shaped filter tip is 783.4Pa, the inner core flow rate accounts for 18.62%, the total filtration efficiency is 21.36%, and the calculated quality factor is 3.07.

[0104] Figure 3K The schematic diagram shows that the inner core area of ​​the medium-length circular coaxial filter according to Example 1 of the present disclosure is 6.61 mm 2 Among them, a is the axial cross-section pressure distribution cloud diagram simulated under average speed; b is the axial cross-section velocity distribution cloud diagram simulated under average speed; c is the inner core filtration efficiency variation with time simulated under HCI mode; d is the outer core filtration efficiency variation with time simulated under HCI mode. Figure 3K It can be seen that the inner core area is 6.61mm 2 When the pressure drop of the special-shaped filter tip is 747.3Pa, the inner core flow rate accounts for 12.57%, the total filtration efficiency is 20.75%, and the calculated quality factor is 3.11.

[0105] Example 2

[0106] The fluid dynamics model of the thick plum blossom coaxial core filter was constructed. The porosity of the inner core of the thick plum blossom coaxial core filter is 0.8382, the porosity of the outer core is 0.9089, the filter circumference is 23.88 mm, and the inner core area is 17.92 mm. 2 The fluid dynamics model includes an inner core module for characterizing the physical properties of the inner core and an outer core module for characterizing the physical properties of the outer core. Figure 4A The schematic diagram shows a three-dimensional mesh model of a thick plum blossom coaxial core filter according to Example 2 of the present disclosure. As shown in FIG4 , the fluid dynamics model includes an inner core module for characterizing the physical properties of the inner core and an outer core module for characterizing the physical properties of the outer core.

[0107] Based on the above fluid dynamics model, simulation was performed at an average velocity (17.5 mL / s) to obtain simulation results. Figure 4B This diagram schematically illustrates the simulation results for a thick-core plum blossom-shaped coaxial filter at average speed according to Example 2 of the present disclosure. Figure a shows the velocity distribution cloud across the axial section; b shows the pressure distribution cloud across the axial section; c shows the velocity variation along the inner core axis; and d shows the velocity variation along the outer core axis. The pressure drop for the thick-core plum blossom-shaped coaxial filter is 800.6 Pa, with the inner core accounting for 20.73% of the smoke flow and the outer core accounting for 79.27%.

[0108] Based on the above fluid dynamics model, simulations were performed in HCI mode to obtain the nicotine filtration efficiency of the inner core and the nicotine filtration efficiency of the outer core. Figure 4C The diagram schematically shows the variation of nicotine filtration efficiency over time of the thick plum blossom-shaped coaxial core filter according to Example 2 of the present disclosure. Wherein, a is the variation of nicotine filtration efficiency over time of the inner core, and b is the variation of nicotine filtration efficiency over time of the outer core. Figure 4C The inner filter has a nicotine filtration efficiency of 59.95%, while the outer filter has a nicotine filtration efficiency of 20.61%. Combining the smoke distribution ratio between the inner and outer filters with the nicotine filtration efficiency, the nicotine filtration efficiency of the medium-length circular coaxial filter is calculated to be 28.76%. Combining the simulated pressure drop with the nicotine filtration efficiency, the quality factor is calculated to be 4.24.

[0109] The porosity of the inner core was set to 0.8282, and other conditions remained unchanged. Simulations were performed under average velocity and HCI mode (55 mL). Figure 4DThe simulation results of the thick plum blossom coaxial core filter with a porosity of 0.8282 according to Example 2 of the present disclosure are schematically shown. Among them, a is the axial cross-section pressure distribution cloud diagram simulated at average speed; b is the axial cross-section velocity distribution cloud diagram simulated at average speed; c is the inner core filtration efficiency simulation diagram obtained under HCI mode over time; d is the outer core filtration efficiency simulation diagram obtained under HCI mode over time. Figure 4D It can be seen that when the porosity of the inner core is 0.8282, the pressure drop of the special-shaped filter is 828.2Pa, the flow rate of the inner core accounts for 18.93%, the total filtration efficiency is 29.24%, and the quality factor is calculated to be 4.18.

[0110] The porosity of the inner core was set to 0.8482, and other conditions remained unchanged. Simulations were performed under average velocity and HCI mode (55 mL). Figure 4E The simulation results of the thick plum blossom coaxial core filter tip according to Example 2 of the present disclosure when the inner core porosity is 0.8482 are shown schematically. Among them, a is the axial cross-section pressure distribution cloud diagram simulated at average speed; b is the axial cross-section velocity distribution cloud diagram simulated at average speed; c is the inner core filtration efficiency simulated over time under HCI mode; d is the outer core filtration efficiency simulated over time under HCI mode. Figure 4E It can be seen that when the porosity of the inner core is 0.8482, the pressure drop of the special-shaped filter is 772.4Pa, the flow rate of the inner core accounts for 22.68%, the total filtration efficiency is 28.18%, and the quality factor is calculated to be 4.29.

[0111] The porosity of the outer core was set to 0.8989, and other conditions remained unchanged. Simulations were performed under average velocity and HCI mode (55 mL). Figure 4F The simulation results of the thick plum blossom coaxial core filter tip according to Example 2 of the present disclosure when the porosity of the outer core is 0.8989 are shown schematically. Among them, a is the axial cross-section pressure distribution cloud diagram simulated at average speed; b is the axial cross-section velocity distribution cloud diagram simulated at average speed; c is the inner core filtration efficiency variation over time simulated under HCI mode; d is the outer core filtration efficiency variation over time simulated under HCI mode. Figure 4F It can be seen that when the porosity of the outer core is 0.8989, the pressure drop of the special-shaped filter is 904.4Pa, the flow rate of the inner core accounts for 23.40%, the total filtration efficiency is 31.79%, and the quality factor is calculated to be 4.23.

[0112] The porosity of the outer core was set to 0.9189, and other conditions remained unchanged. Simulations were performed under average velocity and HCI mode (55 mL). Figure 4GThe simulation results of the thick plum blossom coaxial core filter tip according to Example 2 of the present disclosure when the porosity of the outer core is 0.9189 are shown schematically. Among them, a is the axial cross-section pressure distribution cloud diagram simulated at average speed; b is the axial cross-section velocity distribution cloud diagram simulated at average speed; c is the inner core filtration efficiency simulation diagram obtained under HCI mode over time; d is the outer core filtration efficiency simulation diagram obtained under HCI mode over time. Figure 4G It can be seen that when the porosity of the outer core is 0.9189, the pressure drop of the special-shaped filter is 699.3Pa, the flow rate of the inner core accounts for 18.07%, the total filtration efficiency is 25.74%, and the quality factor is calculated to be 4.26.

[0113] Keeping the porosity of the inner and outer cores unchanged, the area of ​​the inner core is set to 22.68mm 2 , 13.61mm 2 , 9.07mm 2 . The fluid dynamics models of three thick plum blossom-shaped coaxial core filters with different inner core areas were constructed. Figure 4H The schematic diagram shows the thick plum blossom-shaped coaxial core filter model with different inner core areas according to Example 2 of the present disclosure. Where a is the area of ​​the inner core, which is 22.68 mm 2 Thick plum blossom-shaped coaxial core filter model; b is the area of ​​the inner core, which is 13.61mm 2 Thick plum blossom-shaped coaxial core filter model; c is the area of ​​the inner core, which is 9.07mm 2 The fluid dynamics models of three thick plum blossom-shaped coaxial core filters with different inner core areas were simulated under average velocity and HCI mode (55mL).

[0114] Figure 4I The schematic diagram shows that the inner core area of ​​the thick plum blossom-shaped coaxial filter according to Example 2 of the present disclosure is 22.68mm 2 Among them, a is the axial cross-section pressure distribution cloud diagram simulated under average speed; b is the axial cross-section velocity distribution cloud diagram simulated under average speed; c is the inner core filtration efficiency variation with time simulated under HCI mode; d is the outer core filtration efficiency variation with time simulated under HCI mode. Figure 4I It can be seen that the inner core area is 22.68mm 2 When the pressure drop of the special-shaped filter tip is 877.3Pa, the inner core flow rate accounts for 28.68%, the total filtration efficiency is 30.67%, and the calculated quality factor is 4.18.

[0115] Figure 4J The schematic diagram shows that the inner core area of ​​the thick plum blossom-shaped coaxial filter according to Example 2 of the present disclosure is 13.61mm 2Among them, a is the axial cross-section pressure distribution cloud diagram simulated under average speed; b is the axial cross-section velocity distribution cloud diagram simulated under average speed; c is the inner core filtration efficiency variation with time simulated under HCI mode; d is the outer core filtration efficiency variation with time simulated under HCI mode. Figure 4J It can be seen that the inner core area is 13.61mm 2 When the pressure drop of the special-shaped filter tip is 741Pa, the inner core flow rate accounts for 14.60%, the total filtration efficiency is 27.13%, and the calculated quality factor is 4.27.

[0116] Figure 4K The schematic diagram shows that the inner core area of ​​the thick plum blossom-shaped coaxial filter according to Example 2 of the present disclosure is 9.07mm 2 Among them, a is the axial cross-section pressure distribution cloud diagram simulated under average speed; b is the axial cross-section velocity distribution cloud diagram simulated under average speed; c is the inner core filtration efficiency variation with time simulated under HCI mode; d is the outer core filtration efficiency variation with time simulated under HCI mode. Figure 4K It can be seen that the inner core area is 9.07mm 2 When the pressure drop of the special-shaped filter tip is 685.2Pa, the inner core flow rate accounts for 9.08%, the total filtration efficiency is 25.54%, and the calculated quality factor is 4.30.

[0117] According to the embodiments of the present disclosure, for special-shaped filters (coaxial core filters), the quality factor of the special-shaped filters will increase when the porosity increases or the area of ​​the outer core with high porosity increases (while the area of ​​the inner core with low porosity decreases), which provides a certain reference for the optimization of special-shaped filters.

[0118] Figure 5 The structural block diagram of the performance determination device of the special-shaped filter according to the embodiment of the present disclosure is schematically shown.

[0119] like Figure 5 As shown, the performance determination device 500 of the special-shaped filter of this embodiment includes a construction module 510 , a simulation module 520 , a calculation module 530 and a first determination module 540 .

[0120] Construction module 510 is used to construct a fluid dynamics model for a special-shaped filter. The special-shaped filter includes an inner core and an outer core distributed radially. The fluid dynamics model includes an inner core module for characterizing the physical properties of the inner core and an outer core module for characterizing the physical properties of the outer core. In one embodiment, construction module 510 can be used to perform operation S210 described above, and will not be repeated here.

[0121] The simulation module 520 is used to simulate the pressure drop of the fluid dynamics model, the smoke distribution ratio and nicotine filtration efficiency of the inner core module, and the smoke distribution ratio and nicotine filtration efficiency of the outer core module based on the fluid dynamics model. In one embodiment, the simulation module 520 can be used to perform the operation S220 described above, which will not be repeated here.

[0122] Calculation module 530 is configured to calculate the total nicotine filtration efficiency of the fluid dynamics model based on the smoke distribution ratio and nicotine filtration efficiency of the inner core module, as well as the smoke distribution ratio and nicotine filtration efficiency of the outer core module. In one embodiment, calculation module 530 can be configured to perform operation S230 described above, which will not be further described here.

[0123] The first determination module 540 is used to determine the performance of the fluid dynamics model based on the pressure drop and the total nicotine filtration efficiency. The performance of the fluid dynamics model represents the performance of the special-shaped filter. In one embodiment, the first determination module 540 can be used to perform the operation S240 described above, which will not be repeated here.

[0124] According to an embodiment of the present disclosure, the construction module 510 can be used to construct a fluid dynamics model of a special-shaped filter according to the porosity of the inner core, the cross-sectional area of ​​the inner core, the porosity of the outer core, and the cross-sectional area of ​​the outer core.

[0125] According to an embodiment of the present disclosure, the calculation module 530 may include a first obtaining submodule, a second obtaining submodule, and a calculation submodule. The first obtaining submodule is configured to obtain the fractional nicotine filtration efficiency of the inner core module based on the smoke distribution ratio and nicotine filtration efficiency of the inner core module. The second obtaining submodule is configured to obtain the fractional nicotine filtration efficiency of the outer core module based on the smoke distribution ratio and nicotine filtration efficiency of the outer core module. The calculation submodule is configured to calculate the total nicotine filtration efficiency based on the fractional nicotine filtration efficiency of the inner core module and the fractional nicotine filtration efficiency of the outer core module.

[0126] According to an embodiment of the present disclosure, the first determination module 540 may be configured to calculate a quality factor based on the pressure drop and the total nicotine filtration efficiency, and evaluate the performance of the fluid dynamics model using the quality factor, wherein the quality factor is used to characterize the balance between the pressure drop and the total nicotine filtration efficiency.

[0127] According to an embodiment of the present disclosure, the first determination module 540 may be configured to construct a logarithmic function based on the total nicotine filtration efficiency; and determine the quality factor according to the inverse of the pressure drop and the logarithmic function.

[0128] According to an embodiment of the present disclosure, the performance determination device 500 of the special-shaped filter may further include a second determination module, which may be used to use the special-shaped filter corresponding to the fluid dynamics model as the target special-shaped filter when the performance of the fluid dynamics model meets preset conditions.

[0129] According to an embodiment of the present disclosure, the performance determination device 500 of the special-shaped filter may further include a third determination module, which may be used to change the design parameters of the fluid dynamics model when the performance of the fluid dynamics model does not meet the preset conditions, obtain an updated fluid dynamics model, and determine the performance of the updated fluid dynamics model until the performance of the updated fluid dynamics model meets the preset conditions.

[0130] According to embodiments of the present disclosure, any multiple modules among the construction module 510, simulation module 520, calculation module 530, and first determination module 540 may be combined into a single module, or any one of these modules may be split into multiple modules. Alternatively, at least part of the functionality of one or more of these modules may be combined with at least part of the functionality of other modules and implemented in a single module. According to embodiments of the present disclosure, at least one of the construction module 510, simulation module 520, calculation module 530, and first determination module 540 may be at least partially implemented as a hardware circuit, such as a field programmable gate array (FPGA), a programmable logic array (PLA), a system on a chip, a system on a substrate, a system on a package, an application-specific integrated circuit (ASIC), or may be implemented in hardware or firmware through any other reasonable means of circuit integration or packaging, or may be implemented in any one of the three implementation methods of software, hardware, and firmware, or any appropriate combination of any of these. Alternatively, at least one of the construction module 510 , the simulation module 520 , the calculation module 530 and the first determination module 540 may be at least partially implemented as a computer program module, and when the computer program module is executed, the corresponding function may be executed.

[0131] Figure 6 A block diagram of an electronic device suitable for implementing a method for determining the performance of a special-shaped filter according to an embodiment of the present disclosure is schematically shown.

[0132] like Figure 6 As shown, an electronic device 600 according to an embodiment of the present disclosure includes a processor 601, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 602 or a program loaded from a storage portion 608 into a random access memory (RAM) 603. The processor 601 may include, for example, a general-purpose microprocessor (e.g., a CPU), an instruction set processor and / or a related chipset and / or a special-purpose microprocessor (e.g., an application-specific integrated circuit (ASIC)), etc. The processor 601 may also include onboard memory for caching purposes. The processor 601 may include a single processing unit or multiple processing units for performing different actions of the method flow according to an embodiment of the present disclosure.

[0133] Various programs and data required for the operation of the electronic device 600 are stored in the RAM 603. The processor 601, ROM 602, and RAM 603 are connected to each other via a bus 604. The processor 601 executes the various operations of the method flow according to the embodiment of the present disclosure by executing the programs in the ROM 602 and / or RAM 603. It should be noted that the programs may also be stored in one or more memories other than the ROM 602 and RAM 603. The processor 601 may also execute the various operations of the method flow according to the embodiment of the present disclosure by executing the programs stored in the one or more memories.

[0134] According to an embodiment of the present disclosure, electronic device 600 may further include an input / output (I / O) interface 605, which is also connected to bus 604. Electronic device 600 may also include one or more of the following components connected to I / O interface 605: an input section 606 including a keyboard, mouse, etc.; an output section 607 including devices such as a cathode ray tube (CRT), liquid crystal display (LCD), and speakers; a storage section 608 including a hard disk; and a communication section 609 including a network interface card such as a LAN card or modem. Communication section 609 performs communication processing via a network such as the Internet. A drive 610 is also connected to I / O interface 605 as needed. Removable media 611, such as a magnetic disk, optical disk, magneto-optical disk, semiconductor memory, etc., is installed in drive 610 as needed, so that computer programs read from the removable media can be installed into storage section 608 as needed.

[0135] The present disclosure also provides a computer-readable storage medium, which may be included in the device / apparatus / system described in the above embodiments, or may exist independently and not be incorporated into the device / apparatus / system. The computer-readable storage medium carries one or more programs, and when executed, implements the method according to the embodiments of the present disclosure.

[0136] According to an embodiment of the present disclosure, a computer-readable storage medium may be a non-volatile computer-readable storage medium, and may include, for example, but not limited to: a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In the present disclosure, a computer-readable storage medium may be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, apparatus, or device. For example, according to an embodiment of the present disclosure, a computer-readable storage medium may include the ROM 602 and / or RAM 603 described above, and / or one or more memories other than ROM 602 and RAM 603.

[0137] The present disclosure also includes a computer program product comprising a computer program containing program code for executing the method shown in the flowchart. When the computer program product is executed in a computer system, the program code is used to cause the computer system to implement the method for determining the performance of a special-shaped filter provided in the present disclosure.

[0138] The computer program executes the above functions defined in the system / device of the embodiment of the present disclosure when the processor 601 executes the computer program. According to the embodiment of the present disclosure, the system, device, module, unit, etc. described above can be implemented by a computer program module.

[0139] In one embodiment, the computer program may be stored on a tangible storage medium such as an optical storage device or a magnetic storage device. In another embodiment, the computer program may be transmitted and distributed in the form of a signal on a network medium, downloaded and installed via the communication portion 609, and / or installed from a removable medium 611. The program code contained in the computer program may be transmitted using any appropriate network medium, including but not limited to wireless, wired, or any suitable combination thereof.

[0140] In such an embodiment, the computer program can be downloaded and installed from a network via the communication section 609, and / or installed from a removable medium 611. When the computer program is executed by the processor 601, the above-described functions defined in the system of the embodiment of the present disclosure are performed. According to the embodiment of the present disclosure, the systems, devices, means, modules, units, etc. described above can be implemented by computer program modules.

[0141] According to an embodiment of the present disclosure, the program code for executing the computer program provided by the embodiment of the present disclosure can be written in any combination of one or more programming languages. Specifically, these computer programs can be implemented using high-level procedural and / or object-oriented programming languages, and / or assembly / machine languages. Programming languages ​​include, but are not limited to, languages ​​such as Java, C++, Python, "C" or similar programming languages. The program code can be executed entirely on the user computing device, partially on the user device, partially on a remote computing device, or entirely on a remote computing device or server. In cases involving a remote computing device, the remote computing device can be connected to the user computing device through any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computing device (for example, using an Internet service provider to connect via the Internet).

[0142] The flowcharts and block diagrams in the accompanying drawings illustrate the possible implementation architecture, functions and operations of the systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each box in the flowchart or block diagram can represent a module, program segment, or a part of code, and the above-mentioned module, program segment, or a part of code contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in an order different from that marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram or flowchart, and the combination of boxes in the block diagram or flowchart, can be implemented with a dedicated hardware-based system that performs the specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0143] Those skilled in the art will appreciate that the features described in the various embodiments of the present disclosure may be combined and / or coupled in various ways, even if such combinations or couplings are not explicitly described in the present disclosure. In particular, the features described in the various embodiments of the present disclosure may be combined and / or coupled in various ways without departing from the spirit and teachings of the present disclosure. All such combinations and / or couplings fall within the scope of the present disclosure.

[0144] The above describes the embodiments of the present disclosure. However, these embodiments are for illustrative purposes only and are not intended to limit the scope of the present disclosure. Although each embodiment has been described separately above, this does not mean that the measures in each embodiment cannot be advantageously used in combination. Without departing from the scope of the present disclosure, those skilled in the art may make various substitutions and modifications, which should all fall within the scope of the present disclosure.

Claims

1. A method for determining the performance of a special-shaped filter, comprising: Constructing a fluid dynamics model of a special-shaped filter, wherein the special-shaped filter includes an inner core and an outer core distributed along a radial direction, and the fluid dynamics model includes an inner core module for characterizing the physical properties of the inner core and an outer core module for characterizing the physical properties of the outer core; Based on the fluid dynamics model, simulating the pressure drop of the fluid dynamics model, the smoke distribution ratio and nicotine filtration efficiency of the inner core module, and the smoke distribution ratio and nicotine filtration efficiency of the outer core module; calculating the total nicotine filtration efficiency of the fluid dynamics model according to the smoke distribution ratio and nicotine filtration efficiency of the inner core module, and the smoke distribution ratio and nicotine filtration efficiency of the outer core module; The performance of the fluid dynamics model is determined according to the pressure drop and the total nicotine filtration efficiency, and the performance of the fluid dynamics model represents the performance of the special-shaped filter.

2. The method for determining the performance of a special-shaped filter according to claim 1, wherein: Calculating the total nicotine filtration efficiency of the fluid dynamics model based on the smoke distribution ratio and nicotine filtration efficiency of the inner core module and the smoke distribution ratio and nicotine filtration efficiency of the outer core module includes: Obtaining the nicotine filtration efficiency of the inner core module according to the smoke distribution ratio and nicotine filtration efficiency of the inner core module; Obtaining the nicotine filtration efficiency of the outer core module according to the smoke distribution ratio and nicotine filtration efficiency of the outer core module; The total nicotine filtration efficiency is calculated according to the nicotine filtration efficiency of the inner core module and the nicotine filtration efficiency of the outer core module.

3. The method for determining the performance of a special-shaped filter according to claim 2, wherein: The total nicotine filtration efficiency is calculated by the following formula: Total nicotine filtration efficiency = smoke distribution ratio of the inner core module × nicotine filtration efficiency of the inner core module + smoke distribution ratio of the outer core module × nicotine filtration efficiency of the outer core module.

4. The method for determining the performance of a special-shaped filter according to claim 1, wherein: Determining the performance of the fluid dynamics model according to the pressure drop and the total nicotine filtration efficiency includes: A quality factor is calculated according to the pressure drop and the total nicotine filtration efficiency, and the performance of the fluid dynamics model is evaluated using the quality factor, wherein the quality factor is used to characterize the balance between the pressure drop and the total nicotine filtration efficiency.

5. The method for determining the performance of a special-shaped filter according to claim 4, wherein: Calculating the quality factor according to the pressure drop and the total nicotine filtration efficiency comprises: constructing a logarithmic function based on the total nicotine filtration efficiency; The quality factor is determined based on the inverse of the pressure drop and the logarithmic function.

6. The method for determining the performance of a special-shaped filter according to any one of claims 1 to 5, wherein: The fluid dynamics model for constructing the special-shaped filter includes: A fluid dynamics model of the special-shaped filter tip is constructed according to the porosity of the inner core, the cross-sectional area of ​​the inner core, the porosity of the outer core, and the cross-sectional area of ​​the outer core.

7. The method for determining the performance of a special-shaped filter according to any one of claims 1 to 5, further comprising: When the performance of the fluid dynamics model meets the preset conditions, the special-shaped filter corresponding to the fluid dynamics model is used as the target special-shaped filter.

8. The method for determining the performance of a special-shaped filter according to claim 7, further comprising: When the performance of the fluid dynamics model does not meet the preset conditions, the design parameters of the fluid dynamics model are changed to obtain an updated fluid dynamics model, and the performance of the updated fluid dynamics model is determined until the performance of the updated fluid dynamics model meets the preset conditions.

9. The method for determining the performance of a special-shaped filter according to claim 8, wherein: The design parameters include the porosity of the inner core, the cross-sectional area of ​​the inner core, the porosity of the outer core, and the cross-sectional area of ​​the outer core.

10. A device for determining the performance of a special-shaped filter, comprising: A construction module is used to construct a fluid dynamics model of a special-shaped filter, wherein the special-shaped filter includes an inner core and an outer core distributed along a radial direction, and the fluid dynamics model includes an inner core module for characterizing the physical properties of the inner core and an outer core module for characterizing the physical properties of the outer core; a simulation module for simulating, based on the fluid dynamics model, the pressure drop of the fluid dynamics model, the smoke distribution ratio and nicotine filtration efficiency of the inner core module, and the smoke distribution ratio and nicotine filtration efficiency of the outer core module; a calculation module, configured to calculate a total nicotine filtration efficiency of the fluid dynamics model based on the smoke distribution ratio and nicotine filtration efficiency of the inner core module, and the smoke distribution ratio and nicotine filtration efficiency of the outer core module; A determination module is used to determine the performance of the fluid dynamics model according to the pressure drop and the total nicotine filtration efficiency, wherein the performance of the fluid dynamics model represents the performance of the special-shaped filter.

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