Aerosol flow simulation method and simulation device, electronic equipment and storage medium

Abstract

The invention relates to the technical field of heat-not-burn atomization equipment, in particular to an aerosol flow simulation method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining thermophysical property data of an aerosol generation matrix and transmission parameters of aerosol; the aerosol generating substrate is used for heating the heat-not-burn atomization equipment to generate aerosol; inputting the thermophysical property data into a porous medium non-equilibrium state model for identification to obtain temperature distribution of the aerosol generation matrix; inputting the temperature distribution and / or transmission parameters into a multiphase flow model for identification to obtain flow information of each component in the aerosol; the multiphase flow model is used for simulating the phase state conversion process of each component in the aerosol along with the time change. According to the method, the porous medium non-equilibrium model and the multiphase flow model can be coupled, the porous medium structure of the aerosol generation matrix and the influence of each component in the aerosol are fully considered, and more accurate flow information prediction is provided.

Description

Technical Field

[0001] The present application relates to the technical field of heat-not-burn atomization equipment, and in particular to an aerosol flow simulation method and simulation device, electronic equipment and storage medium. Background Art

[0002] In the prior art, most of the simulations of the aerosol flow and diffusion generated by heating the aerosol-generating matrix in the heat-not-burn atomization device are carried out through the porous medium equilibrium model, so as to explore the changes of the aerosol temperature and concentration over time and space. However, the composition of the aerosol is complex, and the physical / chemical properties of different components are different, which have a great influence on the aerosol temperature, fluid velocity and concentration of each component. The porous medium equilibrium model does not take into account the influence of different components, which leads to a large error between the aerosol simulation results and the actual results.

[0003] In view of this, how to accurately simulate the flow of aerosol in the heat-not-burn atomization equipment is an urgent problem to be solved. Summary of the invention

[0004] Based on this, it is necessary to provide an aerosol flow simulation method and simulation device, electronic equipment and storage medium to address the above technical problems.

[0005] In a first aspect, the present application provides an aerosol flow simulation method, the method comprising:

[0006] Obtaining thermophysical property data of an aerosol generating matrix and a transmission parameter of the aerosol; wherein the thermophysical property data includes at least one of density, first thermal conductivity, specific heat capacity and thermal expansion coefficient; the transmission parameter includes at least one of fluid density, fluid velocity, diffusion coefficient, second thermal conductivity and phase proportion of each component in the aerosol; the aerosol generating matrix is ​​used for heating the aerosol generating device by heat-not-burn atomization;

[0007] Inputting the thermophysical property data into a porous medium non-equilibrium model for identification to obtain the temperature distribution of the aerosol generating matrix;

[0008] The temperature distribution and / or the transmission parameter are input into a multiphase flow model for identification to obtain flow information of each component in the aerosol; the multiphase flow model is used to simulate the phase transition process of each component in the aerosol that changes with time.

[0009] In one embodiment, the flow information includes a phase transition rate; the temperature distribution and the transmission parameter are input into a multiphase flow model for identification to obtain flow information of each component in the aerosol, including:

[0010] Establishing a phase conversion equation in the multiphase flow model according to the fluid density, the fluid velocity and the phase proportion of each component of the aerosol at multiple temperatures in the temperature distribution;

[0011] According to the phase transition equation, the phase transition rate of each component in the aerosol at the multiple temperatures is determined.

[0012] In one embodiment, the flow information includes concentration; the transmission parameters are input into a multiphase flow model for identification to obtain flow information of each component in the aerosol, including:

[0013] A multiphase flow equation in the multiphase flow model is established according to the fluid density of the aerosol, the fluid velocity, the diffusion coefficient of the i-th component and the source term corresponding to the i-th component; wherein i is a positive integer;

[0014] According to the multiphase flow equation, the concentration of the i-th component in the aerosol is determined.

[0015] In one embodiment, the flow information includes temperature; the transmission parameters are input into a multiphase flow model for identification to obtain flow information of each component in the aerosol, including:

[0016] Establishing an energy conservation equation in the multiphase flow model according to the fluid density, the fluid velocity, the specific enthalpy, the second thermal conductivity, and a heat source term of the aerosol;

[0017] According to the energy conservation equation, the temperature of the aerosol is determined.

[0018] In one embodiment, the step of inputting the thermophysical property data into a porous medium non-equilibrium model for identification to obtain the temperature distribution of the aerosol generating substrate includes:

[0019] Establishing a non-steady-state heat conduction equation in the non-equilibrium model of the porous medium according to the density, the specific heat capacity, the first thermal conductivity and the internal heat source term of the aerosol generating substrate;

[0020] The temperature distribution of each region in the aerosol generating substrate is determined according to the non-steady-state heat conduction equation.

[0021] In one embodiment, the expression of the multiphase flow equation is as follows:

[0022] Wherein, ρ indicates the fluid density of the aerosol; φ i indicates the concentration of the i-th component; u indicates the fluid velocity of the aerosol; t indicates time; D iIndicates the diffusion coefficient of the i-th component; S i Indicates the source term corresponding to the i-th component.

[0023] In one embodiment, the energy conservation equation is expressed as follows:

[0024] Wherein, ρ indicates the fluid density of the aerosol; h indicates the specific enthalpy; u indicates the flow velocity of the aerosol; t indicates time; and k indicates the second thermal conductivity; Indicates the heat source term.

[0025] In a second aspect, the present application also provides an aerosol flow simulation device, the device comprising:

[0026] An acquisition module, used to acquire thermophysical property data of an aerosol generating matrix and a transmission parameter of the aerosol; wherein the thermophysical property data includes at least one of density, first thermal conductivity, specific heat capacity and thermal expansion coefficient; the transmission parameter includes at least one of fluid density, fluid velocity, diffusion coefficient, second thermal conductivity and phase proportion of each component in the aerosol; the aerosol generating matrix is ​​used for heating the aerosol generating device by heat-not-burn atomization;

[0027] A first processing module is used to input the thermophysical property data into a porous medium non-equilibrium model for identification, and obtain the temperature distribution of the aerosol generating matrix;

[0028] The second processing module is used to input the temperature distribution and / or the transmission parameter into a multiphase flow model for identification to obtain flow information of each component in the aerosol; the multiphase flow model is used to simulate the phase transition process of each component in the aerosol changing with time.

[0029] In a third aspect, the present application further provides an electronic device, which includes a memory for storing a processor computer program and a processor, wherein the processor is configured to: implement the aerosol flow simulation method described in any embodiment of the present application when executing the computer program.

[0030] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the aerosol flow simulation method described in any embodiment of the present application is implemented.

[0031] In the above-mentioned aerosol flow simulation method, the porous medium non-equilibrium model can be used to simulate the complex thermal flow behavior during the heating process of the aerosol generation matrix, so as to accurately identify the temperature distribution of each region of the aerosol generation matrix; the multiphase flow model can be used to simulate the phase transition process of each component in the aerosol generated based on the aerosol generation matrix, so as to accurately determine the flow information of each component in the aerosol. In this way, by coupling the two models, it is possible to simulate the complex thermal fluid phenomena during the heating process of the aerosol generation matrix and the flow process of the aerosol in the heat-not-burn atomization device, fully considering the porous medium structure of the aerosol generation matrix and the influence of each component in the aerosol, and providing a more accurate prediction of flow information. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] Figure 1 is a schematic flow chart of an aerosol flow simulation method according to an exemplary embodiment;

[0033] Figure 2 is a schematic flow chart of an aerosol flow simulation method according to an exemplary embodiment;

[0034] Figure 3 is a schematic flow chart of an aerosol flow simulation method according to an exemplary embodiment;

[0035] Figure 4 is a structural block diagram of an aerosol flow simulation device according to an exemplary embodiment;

[0036] Figure 5 It is a diagram showing the internal structure of an electronic device according to an exemplary embodiment. DETAILED DESCRIPTION

[0037] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0038] The terms "first", "second" and "third" in the embodiments of the present application are only used for descriptive purposes and cannot be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, the features defined as "first", "second" and "third" may explicitly or implicitly include at least one of the features. In the description of the present application, "at least one" is used to indicate one or more; "multiple" means at least two, such as two, three, etc., unless otherwise clearly and specifically defined. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions. For example, a process, method, device, product or equipment that includes a series of steps or units is not limited to the listed steps or units, but optionally also includes steps or units that are not listed, or optionally also includes other steps or units inherent to these processes, methods, products or equipment.

[0039] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0040] The methods described in the embodiments of the present application can be applied to electronic devices; the electronic devices can be any mobile terminals or fixed terminals. The terminal can be a device that provides voice and / or data connectivity to a user. Exemplarily, the terminal can be an IoT terminal, such as a sensor device, a mobile phone (or a "cellular" phone, and a computer with an IoT terminal, for example, a fixed, portable, pocket-sized, handheld, computer-built-in, or vehicle-mounted device.

[0041] In some embodiments, Figure 1 As shown, Figure 1 Schematic diagram of the flow of an aerosol flow simulation method. Specifically, this embodiment provides an aerosol flow simulation method, the method comprising the following steps:

[0042] Step S101, obtaining thermophysical property data of an aerosol generating matrix and transmission parameters of the aerosol; wherein the thermophysical property data include at least one of density, a first thermal conductivity, a specific heat capacity and a thermal expansion coefficient; the transmission parameters include at least one of fluid density, fluid velocity, a diffusion coefficient, a second thermal conductivity and a phase proportion of each component in the aerosol; the aerosol generating matrix is ​​used for heating the aerosol by a heat-not-burn atomization device.

[0043] In the present embodiment, an aerosol-generating substrate refers to a substrate that releases volatile compounds when heated; these volatiles can form an aerosol that can be inhaled.

[0044] In one embodiment, the structure of the aerosol generating substrate is a porous medium structure; the porous medium structure is composed of a solid skeleton and a plurality of pores divided by the skeleton.

[0045] In the embodiments of the present application, the thermophysical property data are quantitative parameters describing the thermophysical properties of a substance.

[0046] In one embodiment, the thermophysical property data may include thermodynamic property data and heat transport property data.

[0047] Optionally, thermodynamic property data are used to describe energy conversion and physical state changes of substances in thermal processes; thermodynamic property data may include but are not limited to at least one of temperature, pressure, density, specific heat capacity and enthalpy.

[0048] Optionally, heat transport property data is used to describe the transfer and distribution of heat in a substance; heat transport property data may include but is not limited to thermal conductivity (thermal conductivity), thermal diffusivity (thermal conductivity), thermal expansion coefficient and thermal radiation characteristics (such as thermal emissivity, absorptivity and reflectivity, etc.).

[0049] In some embodiments, the phases of the aerosol generally include solid, liquid and gas. The phase proportion of the aerosol indicates the proportion of various phase substances in the aerosol.

[0050] In the embodiment of the present application, the first thermal conductivity indicates the ability of the aerosol generating substrate to conduct heat, which can affect the heating rate and uniformity of the aerosol generating substrate. The first thermal conductivity is affected by the material composition, density, pore structure and humidity of the aerosol generating substrate.

[0051] In the embodiment of the present application, the second thermal conductivity indicates the ability of the aerosol to conduct heat. The aerosol is usually a mixture of particles and gas; the second thermal conductivity is affected by the size, concentration, material of the particles and the gas composition.

[0052] In some embodiments, the electronic device can collect the thermal property data of the aerosol generating substrate and the transmission parameters of the aerosol obtained from the aerosol generating substrate combustion experiment / thermal property test through a sensor, a data acquisition system or a communication module.

[0053] Step S102: inputting the thermophysical property data into a porous medium non-equilibrium model for identification to obtain the temperature distribution of the aerosol generating matrix.

[0054] In the embodiments of the present application, the temperature distribution is used to describe the temperature changes at different positions / regions in the aerosol generating matrix.

[0055] In the embodiment of the present application, the porous medium non-equilibrium model refers to a model that describes the interaction between fluid (such as gas, water, etc.) and solid (particulate matter) in the porous medium structure. In the porous medium structure, there is a complex interaction between the fluid and the solid, which affects the thermal conductivity characteristics of the aerosol generation matrix.

[0056] In some embodiments, the step of inputting the thermophysical property data into a porous medium non-equilibrium model for identification to obtain the temperature distribution of the aerosol generating substrate includes:

[0057] Establishing a non-steady-state heat conduction equation in the non-equilibrium model of the porous medium according to the density, the specific heat capacity, the first thermal conductivity and the internal heat source term of the aerosol generating substrate;

[0058] The temperature distribution of each region in the aerosol generating substrate is determined according to the non-steady-state heat conduction equation.

[0059] In some embodiments, the expression of the unsteady-state heat conduction equation is as follows:

[0060] Wherein, δ indicates the density of the aerosol generating substrate; c indicates the specific heat capacity; T indicates the temperature distribution; t indicates time; k indicates the first thermal conductivity; and Q indicates the internal heat source term per unit volume.

[0061] In the embodiments of the present application, the internal heat source term indicates the heat changes caused by chemical reactions, radiation absorption, phase changes, etc. inside the substance. For example, in a heat-not-burn atomization device, the internal heat source term can be used to describe the heat released by the reaction of evaporation, decomposition, phase changes, etc. of the components inside the aerosol-generating matrix.

[0062] In some embodiments, traditional aerosol flow simulation is mostly based on a porous medium equilibrium model, which is difficult to capture the non-uniformity of temperature in each region of the aerosol generating matrix after heating. In contrast, the present application can accurately describe the change of temperature distribution inside the aerosol generating matrix over time through the non-steady-state heat conduction equation in the porous medium non-equilibrium model, thereby comprehensively reflecting the heat conduction process inside the aerosol generating matrix and the change of temperature over time and space.

[0063] Step S103, inputting the temperature distribution and / or the transmission parameter into a multiphase flow model for identification to obtain flow information of each component in the aerosol; the multiphase flow model is used to simulate the phase transition process of each component in the aerosol changing with time.

[0064] In some embodiments, a multiphase flow model is used to simulate and analyze the flow behavior and interactions between different phases in an aerosol.

[0065] In some embodiments, the flow information may include, but is not limited to, at least one of concentration, temperature, velocity, and phase transition rate.

[0066] In some embodiments, the components in the aerosol may include, but are not limited to, glycerin, water, propylene glycol, and other particulate matter. During the heating process of the heat-not-burn atomizer, the temperature gradually rises over time. When the temperature reaches 100 degrees Celsius (°C), the water begins to transform from liquid to gas, forming water vapor; when the temperature reaches 187°C, propylene glycol also begins to transform from liquid to gas.

[0067] In some embodiments, the electronic device can obtain different flow information by inputting one or more parameters of the temperature distribution and transmission parameters into different equations in the multiphase flow model; based on the different flow information, the electronic device can accurately simulate the diffusion heat transfer and phase transition process of the aerosol in the porous media structure such as the aerosol generating matrix and the nozzle in the heating non-combustion atomization device.

[0068] In the above-mentioned aerosol flow simulation method, the porous medium non-equilibrium model can be used to simulate the complex thermal flow behavior during the heating process of the aerosol generation matrix, so as to accurately identify the temperature distribution of each region of the aerosol generation matrix; the multiphase flow model can be used to simulate the phase transition process of each component in the aerosol generated based on the aerosol generation matrix, so as to accurately determine the flow information of each component in the aerosol. In this way, by coupling the two models, it is possible to simulate the complex thermal fluid phenomena during the heating process of the aerosol generation matrix and the flow process of the aerosol in the heat-not-burn atomization device, fully considering the porous medium structure of the aerosol generation matrix and the influence of each component in the aerosol, and providing a more accurate prediction of flow information.

[0069] In some embodiments, Figure 2 As shown, Figure 2 The figure is a flow chart of the aerosol flow simulation method. Specifically, the flow information includes the phase transition rate; the temperature distribution and the transmission parameter are input into the multiphase flow model for identification, and the flow information of each component in the aerosol is obtained, including:

[0070] Step S1031, establishing a phase conversion equation in the multiphase flow model according to the fluid density, the fluid velocity and the phase proportion of each component of the aerosol at multiple temperatures in the temperature distribution;

[0071] Step S1032, determining the phase conversion rate of each component in the aerosol at the multiple temperatures according to the phase conversion equation.

[0072] In the embodiments of the present application, the phase transition rate is used to indicate the speed at which each component in the aerosol changes from one phase to another. This transition can be melting (solid to liquid), solidification (liquid to solid), evaporation (liquid to gas), etc. The phase transition rate is affected by many factors, such as temperature, pressure, and interface properties.

[0073] In some embodiments, the phase transition equation is expressed as follows:

[0074] Among them, ρ i Indicates the fluid density of the i-th phase in the aerosol; α i Indicates the phase proportion of the i-th phase in the aerosol; u i indicates the fluid velocity of the i-th phase in the aerosol; t indicates time; S m Indicates the phase transition rate.

[0075] In some embodiments, the temperature distribution includes a first temperature, a second temperature, and a third temperature; the aerosol includes a first phase and a second phase. The electronic device inputs the temperature distribution determined by the non-steady-state heat conduction equation in the porous medium non-equilibrium model into the multiphase flow model; and calculates the phase conversion rate between the first phase and the second phase at the first / second / third temperature respectively through the phase conversion equation in the multiphase flow model.

[0076] In the embodiments of the present application, the phase conversion rate of each component in the aerosol (such as water, glycerin or propylene glycol) can be accurately determined through the phase conversion equation, which fully considers the influence of different temperatures and different phase proportions on the phase conversion process of each component in the aerosol, and helps to predict the phase change behavior of the aerosol under different conditions.

[0077] In some embodiments, the flow information includes concentration; the transport parameters are input into a multiphase flow model for identification to obtain flow information of each component in the aerosol, including:

[0078] A multiphase flow equation in the multiphase flow model is established according to the fluid density of the aerosol, the fluid velocity, the diffusion coefficient of the i-th component and the source term corresponding to the i-th component; wherein i is a positive integer;

[0079] According to the multiphase flow equation, the concentration of the i-th component in the aerosol is determined.

[0080] In some embodiments, the expression of the multiphase flow equation is as follows:

[0081] Wherein, ρ indicates the fluid density of the aerosol; φ iindicates the concentration of the i-th component; u indicates the fluid velocity of the aerosol; t indicates time; D i Indicates the diffusion coefficient of the i-th component; S i Indicates the source term corresponding to the i-th component.

[0082] In the embodiments of the present application, the multiphase flow equation is used to describe the variation of the concentration of a component in the aerosol with time and space.

[0083] In the embodiment of the present application, the diffusion coefficient is a physical quantity indicating the diffusion speed of a component in the aerosol from a high concentration area to a low concentration area driven by a concentration gradient.

[0084] In some embodiments, the electronic device can calculate the concentration changes of different components in the aerosol by inputting the transmission parameters of the aerosol into the multiphase flow equation; according to the concentration changes of different components, the phase transition of different components in the aerosol can also be well simulated.

[0085] In the embodiments of the present application, the multiphase flow equation can be used to describe the interaction between different phase components (such as particles, droplets and gases) in the aerosol, and the heating process of the aerosol generation matrix and the complex thermal fluid phenomena of the aerosol during the flow process can be well understood. The concentration of each component in the aerosol can be accurately determined, providing a theoretical basis for optimizing the conversion efficiency and utilization rate of the aerosol generation matrix.

[0086] In some embodiments, the flow information includes temperature; the transmission parameters are input into a multiphase flow model for identification to obtain flow information of each component in the aerosol, including:

[0087] Establishing an energy conservation equation in the multiphase flow model according to the fluid density, the fluid velocity, the specific enthalpy, the second thermal conductivity, and a heat source term of the aerosol;

[0088] According to the energy conservation equation, the temperature of the aerosol is determined.

[0089] In some embodiments, the energy conservation equation is expressed as follows:

[0090] Wherein, ρ indicates the fluid density of the aerosol; h indicates the specific enthalpy; u indicates the flow velocity of the aerosol; t indicates time; and k indicates the second thermal conductivity; Indicates the heat source term.

[0091] In the embodiment of the present application, the heat source term indicates the heat generated in a unit time inside or on the boundary of a substance due to a reaction process such as chemical reaction, electric heating, etc. For example, in a heat-not-burn atomization device, the heat source term can be used to describe the external heat provided by the heating element.

[0092] In the embodiments of the present application, specific enthalpy indicates the enthalpy per unit mass of a substance. The value of specific enthalpy changes significantly as a substance changes from one phase to another; based on the change in the value of specific enthalpy, the energy conversion between different phases can be well understood.

[0093] In the embodiments of the present application, the energy conservation equation is used to accurately describe the heat transfer process between different phase components (such as particles, droplets and gases) in the aerosol. The changes in aerosol temperature over time and space can be tracked, including various links such as generation, transmission, and deposition. This improves the accuracy of aerosol temperature prediction, helps ensure a uniform aerosol temperature field, and thus enhances the user experience.

[0094] In the embodiments of the present application, the following provides specific examples in combination with any of the above embodiments:

[0095] Specific example 1: Figure 3 An aerosol flow simulation method is shown as an example; Figure 3 As shown, the aerosol flow simulation method is performed by an electronic device, and the aerosol flow simulation method includes the following steps:

[0096] S301, obtaining thermophysical property data of an aerosol-generating matrix and aerosol transmission parameters.

[0097] In an optional embodiment, the aerosol is produced by heating the aerosol generating matrix by a heating element of a heat-free atomization device; the thermal physical property data includes at least one of density, a first thermal conductivity, specific heat capacity and thermal expansion coefficient; the transmission parameters include fluid density, fluid velocity, diffusion coefficient, second thermal conductivity and at least one of the phase proportions of each component in the aerosol.

[0098] S302, inputting the thermophysical property data into the non-equilibrium model of the porous medium for identification, and obtaining the temperature distribution of the aerosol generating matrix.

[0099] In an optional embodiment, a non-steady-state heat conduction equation in a non-equilibrium model of a porous medium is established based on the density, specific heat capacity, first thermal conductivity and internal heat source term of the aerosol generating matrix; based on the non-steady-state heat conduction equation, the temperature distribution of each region in the aerosol generating matrix is ​​determined, and enter S3031, S3032 and S3033 respectively.

[0100] S3031, determining the phase conversion rate of each component in the aerosol at multiple temperatures based on the fluid density, fluid velocity and phase proportion of each component of the aerosol at multiple temperatures in the temperature distribution.

[0101] S3032. Determine the concentration of the i-th component in the aerosol based on the fluid density, fluid velocity, diffusion coefficient of the i-th component, and source term corresponding to the i-th component of the aerosol; wherein i is a positive integer.

[0102] S3033, determining the temperature of the aerosol according to the fluid density, fluid velocity, specific enthalpy, second thermal conductivity and heat source term of the aerosol.

[0103] In the above-mentioned aerosol flow simulation method, the porous medium non-equilibrium model can be used to simulate the complex thermal flow behavior during the heating process of the aerosol generation matrix, so as to accurately identify the temperature distribution of each region of the aerosol generation matrix; the multiphase flow model can be used to simulate the phase transition process of each component in the aerosol generated based on the aerosol generation matrix, so as to accurately determine the flow information of each component in the aerosol. In this way, by coupling the two models, it is possible to simulate the complex thermal fluid phenomena during the heating process of the aerosol generation matrix and the flow process of the aerosol in the heat-not-burn atomization device, fully considering the porous medium structure of the aerosol generation matrix and the influence of each component in the aerosol, and providing a more accurate prediction of flow information.

[0104] It should be understood that, although the steps in the flowcharts involved in the above embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps is not strictly limited in order, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above embodiments may include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0105] Based on the same inventive concept, the embodiment of the present application also provides an aerosol flow simulation device for implementing the aerosol flow simulation method involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in one or more aerosol flow simulation device embodiments provided below can refer to the limitations of the aerosol flow simulation method above, and will not be repeated here.

[0106] In some embodiments, Figure 4 As shown, the present application also provides an aerosol flow simulation device, the device comprising:

[0107] The acquisition module 10 is used to acquire the thermophysical property data of the aerosol generating matrix and the transmission parameters of the aerosol; wherein the thermophysical property data includes at least one of density, first thermal conductivity, specific heat capacity and thermal expansion coefficient; the transmission parameters include at least one of fluid density, fluid velocity, diffusion coefficient, second thermal conductivity and phase proportion of each component in the aerosol; the aerosol generating matrix is ​​used for heating the aerosol generating device by heating without burning;

[0108] The first processing module 20 is used to input the thermophysical property data into a porous medium non-equilibrium model for identification, and obtain the temperature distribution of the aerosol generating matrix;

[0109] The second processing module 30 is used to input the temperature distribution and / or the transmission parameter into a multiphase flow model for identification to obtain flow information of each component in the aerosol; the multiphase flow model is used to simulate the phase transition process of each component in the aerosol changing with time.

[0110] In some embodiments, the flow information includes a phase transition rate; a second processing module 30 is used to establish a phase transition equation in the multiphase flow model according to the fluid density, the fluid velocity and the phase proportion of each component of the aerosol at multiple temperatures in the temperature distribution; and according to the phase transition equation, determine the phase transition rate of each component in the aerosol at multiple temperatures.

[0111] In some embodiments, the flow information includes concentration; the second processing module 30 is used to establish a multiphase flow equation in the multiphase flow model according to the fluid density of the aerosol, the fluid velocity, the diffusion coefficient of the i-th component and the source term corresponding to the i-th component; wherein i is a positive integer; and determine the concentration of the i-th component in the aerosol according to the multiphase flow equation.

[0112] In some embodiments, the flow information includes temperature; the second processing module 30 is used to establish the energy conservation equation in the multiphase flow model according to the fluid density, the fluid velocity, the specific enthalpy, the second thermal conductivity and the heat source term of the aerosol; and determine the temperature of the aerosol according to the energy conservation equation.

[0113] In some embodiments, the first processing module 20 is used to establish a non-steady-state heat conduction equation in the non-equilibrium model of the porous medium according to the density, the specific heat capacity, the first thermal conductivity and the internal heat source term of the aerosol generating matrix; and determine the temperature distribution of each region in the aerosol generating matrix according to the non-steady-state heat conduction equation.

[0114] In some embodiments, the expression of the multiphase flow equation is as follows:

[0115] Wherein, ρ indicates the fluid density of the aerosol; φ i indicates the concentration of the i-th component; u indicates the fluid velocity of the aerosol; t indicates time; D i Indicates the diffusion coefficient of the i-th component; S i Indicates the source term corresponding to the i-th component.

[0116] In some embodiments, the energy conservation equation is expressed as follows:

[0117] Wherein, ρ indicates the fluid density of the aerosol; h indicates the specific enthalpy; u indicates the flow velocity of the aerosol; t indicates time; and k indicates the second thermal conductivity; Indicates the heat source term.

[0118] Each module in the above-mentioned aerosol flow simulation device can be implemented in whole or in part by software, hardware, or a combination thereof. Each of the above-mentioned modules can be embedded in or independent of a processor in an electronic device in the form of hardware, or can be stored in a memory in an electronic device in the form of software, so that the processor can call and execute the operations corresponding to each of the above modules.

[0119] In one embodiment, an electronic device is provided. The electronic device may be a terminal, and its internal structure diagram may be as follows: Figure 5 As shown. The electronic device includes a processor, a memory, a communication interface, a display screen and an input device connected via a system bus. Among them, the processor of the electronic device is used to provide computing and control capabilities. The memory of the electronic device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the electronic device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be achieved through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. When the computer program is executed by the processor, an aerosol flow simulation method is implemented. The display screen of the electronic device can be a liquid crystal display screen or an electronic ink display screen, and the input device of the electronic device can be a touch layer covering the display screen, or a button, trackball or touchpad set on the housing of the electronic device, or an external keyboard, touchpad or mouse, etc.

[0120] Those skilled in the art will understand that Figure 5The structure shown in the figure is merely a block diagram of a partial structure related to the scheme of the present application, and does not constitute a limitation on the electronic device to which the scheme of the present application is applied. The specific electronic device may include more or fewer components than shown in the figure, or combine certain components, or have a different arrangement of components.

[0121] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments are implemented.

[0122] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties.

[0123] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but are not limited to this.

[0124] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0125] The above embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. An aerosol flow simulation method, characterized in that: The method comprises: Obtaining thermophysical property data of an aerosol generating matrix and a transmission parameter of the aerosol; wherein the thermophysical property data includes at least one of density, first thermal conductivity, specific heat capacity and thermal expansion coefficient; the transmission parameter includes at least one of fluid density, fluid velocity, diffusion coefficient, second thermal conductivity and phase proportion of each component in the aerosol; the aerosol generating matrix is ​​used for heating the aerosol generating device by heat-not-burn atomization; Inputting the thermophysical property data into a porous medium non-equilibrium model for identification to obtain the temperature distribution of the aerosol generating matrix; The temperature distribution and / or the transmission parameter are input into a multiphase flow model for identification to obtain flow information of each component in the aerosol; the multiphase flow model is used to simulate the phase transition process of each component in the aerosol that changes with time.

2. The method according to claim 1, characterized in that The flow information includes a phase transition rate; the temperature distribution and the transmission parameter are input into a multiphase flow model for identification to obtain flow information of each component in the aerosol, including: Establishing a phase conversion equation in the multiphase flow model according to the fluid density, the fluid velocity and the phase proportion of each component of the aerosol at multiple temperatures in the temperature distribution; According to the phase transition equation, the phase transition rate of each component in the aerosol at the multiple temperatures is determined.

3. The method according to claim 1, characterized in that: The flow information includes concentration; the transmission parameters are input into a multiphase flow model for identification to obtain flow information of each component in the aerosol, including: A multiphase flow equation in the multiphase flow model is established according to the fluid density of the aerosol, the fluid velocity, the diffusion coefficient of the i-th component and the source term corresponding to the i-th component; wherein i is a positive integer; According to the multiphase flow equation, the concentration of the i-th component in the aerosol is determined.

4. The method according to claim 1, characterized in that: The flow information includes temperature; the transmission parameters are input into a multiphase flow model for identification to obtain flow information of each component in the aerosol, including: Establishing an energy conservation equation in the multiphase flow model according to the fluid density, the fluid velocity, the specific enthalpy, the second thermal conductivity, and a heat source term of the aerosol; According to the energy conservation equation, the temperature of the aerosol is determined.

5. The method according to claim 1, characterized in that The step of inputting the thermophysical property data into a porous medium non-equilibrium model for identification to obtain the temperature distribution of the aerosol generating matrix comprises: Establishing a non-steady-state heat conduction equation in the non-equilibrium model of the porous medium according to the density, the specific heat capacity, the first thermal conductivity and the internal heat source term of the aerosol generating substrate; The temperature distribution of each region in the aerosol generating substrate is determined according to the non-steady-state heat conduction equation.

6. The method according to claim 3, characterized in that The expression of the multiphase flow equation is as follows: Wherein, ρ indicates the fluid density of the aerosol; φ i indicates the concentration of the i-th component; u indicates the fluid velocity of the aerosol; t indicates time; D i Indicates the diffusion coefficient of the i-th component; S i Indicates the source term corresponding to the i-th component.

7. The method according to claim 4, characterized in that The expression of the energy conservation equation is as follows: Wherein, ρ indicates the fluid density of the aerosol; h indicates the specific enthalpy; u indicates the flow velocity of the aerosol; t indicates time; and k indicates the second thermal conductivity; Indicates the heat source term.

8. An aerosol flow simulation device, characterized in that: The device comprises: An acquisition module, used to acquire thermophysical property data of an aerosol generating matrix and a transmission parameter of the aerosol; wherein the thermophysical property data includes at least one of density, first thermal conductivity, specific heat capacity and thermal expansion coefficient; the transmission parameter includes at least one of fluid density, fluid velocity, diffusion coefficient, second thermal conductivity and phase proportion of each component in the aerosol; the aerosol generating matrix is ​​used for heating the aerosol generating device by heating without burning; A first processing module is used to input the thermophysical property data into a porous medium non-equilibrium model for identification, and obtain the temperature distribution of the aerosol generating matrix; The second processing module is used to input the temperature distribution and / or the transmission parameter into a multiphase flow model for identification to obtain flow information of each component in the aerosol; the multiphase flow model is used to simulate the phase transition process of each component in the aerosol changing with time.

9. An electronic device, characterized in that: include: a memory for storing a processor computer program; Processor; wherein the processor is configured to: implement the method according to any one of claims 1 to 7 when executing the computer program.

10. A computer-readable storage medium, characterized in that: The readable storage medium stores a computer program, wherein the computer program implements the method according to any one of claims 1 to 7 when executed by a processor.

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