Pressure sensor evaluation method and device, equipment and storage medium

Abstract

The embodiment of the invention provides a pressure sensor evaluation method and device, equipment and a storage medium, and belongs to the technical field of pressure sensors. The pressure sensor evaluation method comprises the steps of establishing a three-dimensional model of a pressure sensor based on preset parameter data; a joint simulation step: performing joint simulation on the three-dimensional model, and determining a stress fatigue difference and a corrosion failure rate difference between preset assemblies; the joint simulation step is repeatedly executed until the repeated execution frequency reaches the preset frequency, and the stress fatigue difference and the corrosion failure rate difference between the preset assemblies under the different corrosion radiuses are obtained; and obtaining a degradation evaluation result of the pressure sensor according to the stress fatigue difference and the corrosion failure rate difference between the preset components under different corrosion radiuses. According to the embodiment of the invention, the evaluation result error caused by the difference between simulation and actual working conditions is reduced, and the reliability of the degradation evaluation result of the pressure sensor is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of pressure sensors, and in particular to a pressure sensor evaluation method, a pressure sensor evaluation device, an electronic device and a readable storage medium. Background Art

[0002] Industrial pressure sensors play an important role in petrochemical systems, and their reliability is of great significance for controllers to timely judge unexpected working conditions and issue accurate commands. However, compared with civilian sensors, industrial pressure sensors are usually in harsh environments with extremely high / low temperatures, high humidity, and strong salt spray, which seriously increases the risk of mechanical performance deterioration and zero drift instability of the sensors.

[0003] The existing technology usually starts with multi-physics field finite element simulation and performs coupling analysis to simulate the actual load environment conditions of the device. However, the simulation results obtained by a single physical field simulation are prone to errors, making the evaluation results of the pressure sensor inaccurate. Summary of the invention

[0004] The purpose of the embodiments of the present invention is to provide a pressure sensor evaluation method, device, equipment and storage medium to solve the above technical problems.

[0005] In order to achieve the above object, an embodiment of the present invention provides a pressure sensor evaluation method, the method comprising:

[0006] Based on the preset parameter data, a three-dimensional model of the pressure sensor is established; the three-dimensional model of the pressure sensor includes preset components;

[0007] Performing a joint simulation step on the three-dimensional model to determine the stress fatigue difference and the corrosion failure rate difference between the preset components;

[0008] Repeating the joint simulation step of the three-dimensional model until the number of repetitions reaches a preset number of times, and obtaining stress fatigue differences and corrosion failure rate differences between preset components under different corrosion radii;

[0009] The degradation assessment results of the pressure sensor are determined based on the stress fatigue differences and corrosion failure rate differences between the preset components under different corrosion radii.

[0010] Optionally, performing a joint simulation step on the three-dimensional model includes:

[0011] Performing electrical, thermal and mechanical joint simulation on the three-dimensional model to determine the maximum contact stress point between the preset components, the stress distribution of the preset components and the temperature distribution;

[0012] Based on the maximum contact stress point and the stress distribution of the preset component, a two-dimensional model of the pressure sensor is established, and a force-chemical joint simulation is performed on the two-dimensional model to determine the current density distribution in the corrosion area;

[0013] According to the temperature distribution of the preset components and the current density distribution of the corrosion area, the stress fatigue difference and the corrosion failure rate difference between the preset components are determined.

[0014] Optionally, the performing electrical, thermal and mechanical joint simulation on the three-dimensional model to determine the maximum contact stress point between the preset components and the stress distribution of the preset components includes:

[0015] Performing electric-thermal joint simulation on the three-dimensional model to obtain temperature distribution of the three-dimensional model;

[0016] Based on the temperature distribution, a thermal-mechanical joint simulation is performed on the three-dimensional model to obtain a stress distribution of a preset component;

[0017] Based on the stress distribution of the preset components, the maximum contact stress point between the preset components is determined.

[0018] Optionally, performing electric-thermal joint simulation on the three-dimensional model to obtain the temperature distribution of the three-dimensional model includes:

[0019] Using formula (1), the three-dimensional model is subjected to electric and thermal joint simulation calculation to obtain the temperature distribution of the three-dimensional model:

[0020]

[0021] In formula (1), ρ is the density, c th is the specific heat capacity, λ is the thermal conductivity, q loss is the power consumption per unit volume, and T(x,t) is the temperature distribution function.

[0022] Optionally, the establishing of a two-dimensional model of the pressure sensor based on the maximum contact stress point and the stress distribution of the preset component, and performing a force-chemical joint simulation on the two-dimensional model to determine the current density distribution in the corrosion area includes:

[0023] Determining a corrosion area based on the maximum contact stress point and the stress distribution of the preset component;

[0024] Establishing a two-dimensional model of the pressure sensor based on the corrosion area and the three-dimensional model;

[0025] Based on the stress distribution of the corrosion area and the preset component, the two-dimensional model is subjected to a joint force simulation to obtain the current density distribution of the corrosion area.

[0026] Optionally, based on the stress distribution of the corrosion area and the preset component, the two-dimensional model is subjected to a joint force simulation to obtain a current density distribution in the corrosion area, including:

[0027] Based on the stress distribution of the corrosion area and the preset component, the two-dimensional model is subjected to a mechanical joint simulation calculation using formula (2) to obtain the current density distribution of the corrosion area:

[0028]

[0029] In formula (2), is the exchange current density of the chemical reaction when the stress is 0, σMises is the von Mises stress at the point of maximum contact stress, V m is the molar molecular volume of the metal, b c is the Tafel slope of the cathode reaction.

[0030] Optionally, determining the stress fatigue difference and the corrosion failure rate difference between the preset components according to the temperature distribution of the preset components and the current density distribution of the corrosion area includes:

[0031] Determining the maximum temperature value of the preset component according to the temperature distribution of the preset component;

[0032] Calculating the fatigue cumulative life of the preset component according to the maximum temperature value;

[0033] Determining stress fatigue differences between the preset components based on the fatigue cumulative life of the preset components;

[0034] Calculating the corrosion failure rate of the preset component according to the current density distribution in the corrosion area;

[0035] Based on the corrosion failure rates of the preset components, the corrosion failure rate differences between the preset components are determined.

[0036] Optionally, the step of calculating the fatigue cumulative life of a preset component according to the maximum temperature value further includes:

[0037] According to the maximum temperature value, the fatigue cumulative life of the preset component is calculated using formula (3):

[0038] N f =Bf-αΔT-βG(T max ) (3);

[0039] In formula (3), N f is the fatigue cumulative life of the preset component; f is the load loading frequency; ΔT is the cycle temperature difference, ΔT = T max -Tmin , T min is room temperature, T max is the maximum temperature value of the preset component; G(T max ) is the Arrhenius term at the highest temperature value reached in each cycle.

[0040] Optionally, calculating the corrosion failure rate of a preset component according to the current density distribution of the corrosion area includes:

[0041] According to the current density distribution in the corrosion area, the corrosion failure rate of the preset component is calculated using formula (4):

[0042]

[0043] In formula (4), v is the corrosion failure rate of the preset component, N is the relative atomic mass of the metal, and F a is the Faraday constant, and j is the current density distribution in the corrosion area.

[0044] Optionally, the step of repeatedly performing the joint simulation of the three-dimensional model until the number of repeated executions reaches a preset number of times, and obtaining stress fatigue differences and corrosion failure rate differences between preset components under different corrosion radii, includes:

[0045] Each time the joint simulation step is performed, the simulated corrosion area, stress fatigue differences between preset components, and corrosion failure rate differences are recorded;

[0046] It is determined that the number of repeated executions reaches the preset number of times, and the stress fatigue difference and corrosion failure rate difference between the preset components under different corrosion radii are obtained.

[0047] In a second aspect of an embodiment of the present invention, a pressure sensor evaluation device is provided, the device comprising:

[0048] A modeling module, used to establish a three-dimensional model of the pressure sensor based on preset parameter data; the three-dimensional model of the pressure sensor includes preset components;

[0049] A joint simulation module, used to perform a joint simulation step on the three-dimensional model to determine the stress fatigue difference and the corrosion failure rate difference between the preset components;

[0050] A repeated execution module, used for repeatedly executing the joint simulation steps of the three-dimensional model until the number of repeated executions reaches a preset number of times, and obtaining the stress fatigue difference and the corrosion failure rate difference between the preset components under different corrosion radii;

[0051] The evaluation module is used to determine the degradation evaluation result of the pressure sensor according to the stress fatigue difference and the corrosion failure rate difference between the preset components under different corrosion radii.

[0052] A third aspect of the present application provides an electronic device configured to execute the above-mentioned pressure sensor evaluation method.

[0053] A fourth aspect of the present application provides a machine-readable storage medium having instructions stored thereon. When the instructions are executed by a processor, the processor is configured to execute the above-mentioned pressure sensor evaluation method.

[0054] The embodiment of the present invention establishes a three-dimensional model of the pressure sensor based on preset parameter data, and then performs joint simulation on the three-dimensional model to determine the stress fatigue difference and corrosion failure rate difference between the preset components, and repeats the joint simulation of the three-dimensional model after the joint simulation until the number of repeated executions reaches the preset number of times, so as to obtain the stress fatigue difference and corrosion failure rate difference between the preset components under different corrosion radii, and obtain the degradation evaluation result of the pressure sensor according to the stress fatigue difference and corrosion failure rate difference between the preset components under different corrosion radii. The embodiment of the present invention evaluates the pressure sensor based on the stress fatigue difference and corrosion failure rate difference between the preset components under different corrosion radii, thereby reducing the evaluation result error caused by the difference between the simulation and the actual working conditions, and improving the reliability of the degradation evaluation result of the pressure sensor.

[0055] Other features and advantages of the embodiments of the present invention will be described in detail in the subsequent detailed description. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] The accompanying drawings are used to provide a further understanding of the embodiments of the present invention and constitute a part of the specification. Together with the following specific embodiments, they are used to explain the embodiments of the present invention, but do not constitute a limitation on the embodiments of the present invention. In the accompanying drawings:

[0057] Figure 1 is a flow chart of a pressure sensor evaluation method provided by an embodiment of the present invention;

[0058] Figure 2 is a schematic diagram of a three-dimensional model of a pressure sensor;

[0059] Figure 3 is a schematic diagram of a two-dimensional model of a pressure sensor;

[0060] Figure 4 It is a schematic diagram of the two-dimensional model of the pressure sensor after the joint simulation;

[0061] Figure 5It is a functional module diagram of a pressure sensor evaluation device provided by an embodiment of the present invention.

[0062] Description of Reference Numerals

[0063] 200 pressure sensor evaluation device; 210 modeling module; 220 joint simulation module;

[0064] 230 repeats the execution module; 240 evaluates the module. DETAILED DESCRIPTION

[0065] The specific implementation of the embodiment of the present invention is described in detail below in conjunction with the accompanying drawings. It should be understood that the specific implementation described here is only used to illustrate and explain the embodiment of the present invention, and is not used to limit the embodiment of the present invention.

[0066] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by technicians in the technical field to which this application belongs; the terms used herein are only for the purpose of describing specific embodiments and are not intended to limit this application.

[0067] In the description of the embodiments of the present application, the technical terms "first", "second", etc. are only used to distinguish different objects, and cannot be understood as indicating or implying relative importance or implicitly indicating the number, specific order or primary and secondary relationship of the indicated technical features. In the description of the embodiments of the present application, the meaning of "multiple" is more than two, unless otherwise clearly and specifically defined.

[0068] Embodiment 1

[0069] Please refer to Figure 1 , Figure 1 It is a flow chart of a pressure sensor evaluation method provided in this embodiment.

[0070] Step S100: Building a three-dimensional model of the pressure sensor based on preset parameter data; wherein the three-dimensional model of the pressure sensor includes preset components.

[0071] The preset component may be a force-sensitive resistor and a bonding wire connecting the force-sensitive resistor, and the diameter of the bonding wire may be 2 mm.

[0072] The preset parameter data may be device parameters of the pressure sensor to be evaluated, for example, material performance parameters of the force-sensitive resistor and the bonding wire assembly, and the material performance parameters may include material density, thermal expansion coefficient, Young's modulus, Poisson's ratio and other parameters.

[0073] Specifically, in this embodiment, SolidWorks software can be used to construct a three-dimensional model of the pressure sensor. For example, SolidWorks can be used to build the following Figure 2The three-dimensional model of the pressure sensor shown in the figure, 1 is the aluminum bonding wire, 2 is the silicon diaphragm, 3 is the base, 4 is the copper force sensitive resistor, and F is the downward pressure load that the pressure sensor is subjected to during operation.

[0074] Step S200: performing a joint simulation step on the three-dimensional model to determine the stress fatigue difference and corrosion failure rate difference between the preset components.

[0075] It should be noted that since the simulation results obtained by a single physical field simulation are prone to errors, this embodiment uses an electric, thermal and mechanical joint simulation method to simulate the three-dimensional model. Since the contact stress causes the plating at the welding point to be damaged, crevice corrosion will occur in a salt spray environment. Therefore, this embodiment also uses a mechanical and chemical joint simulation method to simulate the model.

[0076] Specifically, for the electric, thermal and mechanical joint simulation, this embodiment uses formula (1) to perform electric and thermal joint simulation calculation on the three-dimensional model to obtain the temperature distribution of the three-dimensional model of the pressure sensor, and then based on the temperature distribution, perform thermal joint simulation on the three-dimensional model to obtain the stress distribution of the preset components, and based on the stress distribution of the preset components, determine the maximum contact stress point between the preset components. Wherein, formula (1) is as follows:

[0077]

[0078] In formula (1), ρ is the density, c th is the specific heat capacity, λ is the thermal conductivity, q loss is the power consumption per unit volume, and T(x,t) is the temperature distribution function.

[0079] For example, the three-dimensional model of the pressure sensor is input into the Comsol Multiphysics software, the ambient temperature is set to 25°C, the thermistor is used as the heat source, and the power loss generated by the current is converted into the power consumption within the unit volume q loss , combined with the heat dissipation capacity of the external radiator, according to the law of conservation of energy and Fourier's law, using formula (1), the temperature distribution of the entire three-dimensional model is calculated. Based on the temperature distribution, the above three-dimensional model is subjected to thermal joint simulation. The aluminum bonding wire and the force-sensitive resistor are set to be in binding contact, the friction coefficient of each contact surface between the force-sensitive resistor and the silicon-based diaphragm is 0.1, and the bottom of the silicon-based diaphragm is set to be a fixed end constraint. The force-sensitive resistor and the silicon elastic diaphragm are subjected to a downward uniform load. The three-dimensional model is meshed, and the temperature distribution and thermal stress distribution are calculated under different mesh sizes. The range in which the physical value is not affected by the mesh density is found. The maximum mesh size is selected within this range to obtain the temperature distribution within the maximum mesh size and the maximum contact stress point A between the bonding wire and the force-sensitive resistor.

[0080] It is understandable that when the coating is damaged, copper and aluminum metals are very likely to form an electrolyte under the action of moisture and NaCl impurities in the salt spray environment, thereby forming a primary battery with aluminum as the negative electrode and copper as the positive electrode, causing electrochemical corrosion of the aluminum bonding wire. Under the action of external stress, the exchange current density of the cathode reaction will be accelerated. Therefore, this embodiment determines the corrosion area based on the maximum contact stress point and the stress distribution of the preset component, and establishes a two-dimensional model of the pressure sensor based on the three-dimensional model of the corrosion area and the pressure sensor. Based on the stress distribution of the corrosion area and the preset component, the two-dimensional model is subjected to a joint force and chemical simulation calculation using formula (2) to obtain the current density distribution of the corrosion area. Wherein, formula (2) is as follows:

[0081]

[0082] In formula (2), is the exchange current density of the chemical reaction when the stress is 0, σMises is the von Mises stress at the point of maximum contact stress, V m is the molar molecular volume of the metal, b c is the Tafel slope of the cathode reaction.

[0083] For example, Figure 3 As shown, based on the stress distribution of the maximum contact stress point and the preset component, the corrosion area centered at the maximum contact stress point A is determined, and a two-dimensional model of the pressure sensor is established. The salt spray environment is simulated by force and chemistry, and the salt spray environment is set to 3.5% sodium chloride solution. The current density distribution of the corrosion area is calculated using formula (2). The two-dimensional model is meshed, and the current density distribution of the corrosion area is calculated at different mesh sizes. The range of physical values ​​that is not affected by the mesh density is found. The maximum mesh size is selected within the range to obtain the current density distribution of the corrosion area within the maximum mesh size.

[0084] After obtaining the temperature distribution of the preset components and the current density distribution of the corrosion area through the electric-thermal-mechanical joint simulation and the mechanical-chemical joint simulation, this step determines the stress fatigue difference and the corrosion failure rate difference between the preset components based on the temperature distribution of the preset components and the current density distribution of the corrosion area. Specifically, according to the temperature distribution of the preset components, the maximum temperature value of the preset components is determined. According to the maximum temperature value, the fatigue cumulative life of the preset components is calculated using formula (3). Based on the fatigue cumulative life of the preset components, the stress fatigue difference between the preset components is determined. According to the current density distribution in the corrosion area, the corrosion failure rate of the preset components is calculated using formula (4). Based on the corrosion failure rate of the preset components, the corrosion failure rate difference between the preset components is determined. Wherein, formula (3) and formula (4) are as follows:

[0085] N f=Bf-αΔT-βG(T max ) (3),

[0086] In formula (3), N f is the fatigue cumulative life of the preset component, f is the load loading frequency, ΔT is the cycle temperature difference, ΔT=T max -T min , T min is room temperature, T max is the maximum temperature value of the preset component, G(T max ) is the Arrhenius term at the highest temperature value reached in each cycle;

[0087]

[0088] In formula (4), v is the corrosion failure rate of the preset component, N is the relative atomic mass of the metal, and F a is the Faraday constant, and j is the current density distribution in the corrosion area.

[0089] Step S300: Repeat the joint simulation steps for the three-dimensional model until the number of repetitions reaches a preset number, and obtain the stress fatigue difference and corrosion failure rate difference between the preset components under different corrosion radii.

[0090] It should be noted that in order to simulate the degradation state of the pressure sensor under a real environment, in this embodiment, the three-dimensional model and the two-dimensional model of the pressure sensor after the electric, thermal and mechanical joint simulation and the mechanical and chemical joint simulation will repeat the joint simulation of step S200 to obtain the three-dimensional model and the two-dimensional model of the pressure sensor under different corrosion depths, and record the simulated corrosion area, the stress fatigue differences between the preset components, and the corrosion failure rate differences, and repeat the above steps until the current number of repetitions reaches the preset number, where the preset number is determined by the evaluation needs and is not limited in this embodiment.

[0091] For example, after the initial electro-thermal and mechanical co-simulation and mechanical-chemical co-simulation, the maximum contact stress point of the force-sensitive resistor and the bonding wire is recorded as A, and the corrosion radius of the corrosion area is recorded as r. Based on the same boundary conditions as the last co-simulation, the three-dimensional model and the two-dimensional model of the pressure sensor are co-simulated again. After the simulation, the two-dimensional model of the pressure sensor is as follows: Figure 4 As shown, the maximum contact stress point A' of the force-sensitive resistor and the bonding wire and the corrosion radius r' of the corrosion area are further obtained, and the stress fatigue difference and corrosion failure rate difference between the corrosion area and the preset component are recorded. The above steps are repeated until the current number of repetitions reaches 3 times, and the stress fatigue difference and corrosion failure rate difference between the force-sensitive resistor and the bonding wire under different corrosion radii are obtained.

[0092] Step S400: Determine a degradation assessment result of the pressure sensor according to stress fatigue differences and corrosion failure rate differences between preset components under different corrosion radii.

[0093] This step is based on the stress fatigue difference and corrosion failure rate difference between the force-sensitive resistor and the bonding wire under different corrosion radii, and obtains the degradation parameters of the force-sensitive resistor and the bonding wire under different corrosion depths, so as to restore the pressure sensor degradation under the real environment and further determine the degradation evaluation result of the pressure sensor.

[0094] This embodiment establishes a three-dimensional model of the pressure sensor based on preset parameter data, and then performs joint simulation on the three-dimensional model to determine the stress fatigue difference and corrosion failure rate difference between the preset components, and repeats the joint simulation of the three-dimensional model after the joint simulation until the number of repeated executions reaches the preset number of times, so as to obtain the stress fatigue difference and corrosion failure rate difference between the preset components under different corrosion radii, and obtain the degradation evaluation result of the pressure sensor according to the stress fatigue difference and corrosion failure rate difference between the preset components under different corrosion radii. The embodiment of the present invention evaluates the pressure sensor based on the stress fatigue difference and corrosion failure rate difference between the preset components under different corrosion radii, reduces the evaluation result error caused by the difference between the simulation and the actual working conditions, and improves the reliability of the degradation evaluation result of the pressure sensor.

[0095] Embodiment 2

[0096] Please refer to Figure 5 , Figure 5 is a schematic structural diagram of a pressure sensor evaluation device 200 provided in an embodiment of the present application.

[0097] A modeling module 210, for establishing a three-dimensional model of the pressure sensor based on preset parameter data; the three-dimensional model of the pressure sensor includes preset components;

[0098] A joint simulation module 220 is used to perform a joint simulation step on the three-dimensional model to determine the stress fatigue difference and the corrosion failure rate difference between the preset components;

[0099] A repeated execution module 230 is used to repeatedly execute the joint simulation steps of the three-dimensional model until the number of repeated executions reaches a preset number of times, thereby obtaining the stress fatigue difference and the corrosion failure rate difference between the preset components under different corrosion radii;

[0100] The evaluation module 240 is used to determine the degradation evaluation result of the pressure sensor according to the stress fatigue difference and the corrosion failure rate difference between the preset components under different corrosion radii.

[0101] Furthermore, the step of performing a joint simulation on the three-dimensional model includes:

[0102] Performing electrical, thermal and mechanical joint simulation on the three-dimensional model to determine the maximum contact stress point between the preset components, the stress distribution of the preset components and the temperature distribution;

[0103] Based on the maximum contact stress point and the stress distribution of the preset component, a two-dimensional model of the pressure sensor is established, and a force-chemical joint simulation is performed on the two-dimensional model to determine the current density distribution in the corrosion area;

[0104] According to the temperature distribution of the preset components and the current density distribution of the corrosion area, the stress fatigue difference and the corrosion failure rate difference between the preset components are determined.

[0105] Furthermore, the three-dimensional model is subjected to electrical, thermal and mechanical joint simulation to determine the maximum contact stress points between the preset components and the stress distribution of the preset components, including:

[0106] Performing electric-thermal joint simulation on the three-dimensional model to obtain temperature distribution of the three-dimensional model;

[0107] Based on the temperature distribution, a thermal-mechanical joint simulation is performed on the three-dimensional model to obtain a stress distribution of a preset component;

[0108] Based on the stress distribution of the preset components, the maximum contact stress point between the preset components is determined.

[0109] Further, performing electric-thermal joint simulation on the three-dimensional model to obtain the temperature distribution of the three-dimensional model includes:

[0110] Using formula (1), the three-dimensional model is subjected to electric and thermal joint simulation calculation to obtain the temperature distribution of the three-dimensional model:

[0111]

[0112] In formula (1), ρ is the density, c th is the specific heat capacity, λ is the thermal conductivity, q loss is the power consumption per unit volume, and T(x,t) is the temperature distribution function.

[0113] Furthermore, based on the maximum contact stress point and the stress distribution of the preset component, a two-dimensional model of the pressure sensor is established, and a force-chemical joint simulation is performed on the two-dimensional model to determine the current density distribution of the corrosion area, including:

[0114] Determining a corrosion area based on the maximum contact stress point and the stress distribution of the preset component;

[0115] Establishing a two-dimensional model of the pressure sensor based on the corrosion area and the three-dimensional model;

[0116] Based on the stress distribution of the corrosion area and the preset component, the two-dimensional model is subjected to a joint force simulation to obtain the current density distribution of the corrosion area.

[0117] Furthermore, based on the stress distribution of the corrosion area and the preset component, the two-dimensional model is subjected to a joint force simulation to obtain the current density distribution of the corrosion area, including:

[0118] Based on the stress distribution of the corrosion area and the preset component, the two-dimensional model is subjected to a mechanical joint simulation calculation using formula (2) to obtain the current density distribution of the corrosion area:

[0119]

[0120] In formula (2), is the exchange current density of the chemical reaction when the stress is 0, σMises is the von Mises stress at the point of maximum contact stress, V m is the molar molecular volume of the metal, b c is the Tafel slope of the cathode reaction.

[0121] Further, according to the temperature distribution of the preset components and the current density distribution of the corrosion area, the stress fatigue difference and the corrosion failure rate difference between the preset components are determined, including:

[0122] Determining the maximum temperature value of the preset component according to the temperature distribution of the preset component;

[0123] Calculating the fatigue cumulative life of the preset component according to the maximum temperature value;

[0124] Determining stress fatigue differences between the preset components based on the fatigue cumulative life of the preset components;

[0125] Calculating the corrosion failure rate of the preset component according to the current density distribution in the corrosion area;

[0126] Based on the corrosion failure rates of the preset components, the corrosion failure rate differences between the preset components are determined.

[0127] Furthermore, according to the maximum temperature value, the fatigue cumulative life of the preset component is calculated, and the method further includes:

[0128] According to the maximum temperature value, the fatigue cumulative life of the preset component is calculated using formula (3):

[0129] N f =Bf-αΔT-βG(T max ) (3);

[0130] In formula (3), N f is the fatigue cumulative life of the preset component; f is the load loading frequency; ΔT is the cycle temperature difference, ΔT = T max -T min , T min is room temperature, T max is the maximum temperature value of the preset component; G(T max ) is the Arrhenius term at the highest temperature value reached in each cycle.

[0131] Further, according to the current density distribution of the corrosion area, the corrosion failure rate of the preset component is calculated, including:

[0132] According to the current density distribution in the corrosion area, the corrosion failure rate of the preset component is calculated using formula (4):

[0133]

[0134] In formula (4), v is the corrosion failure rate of the preset component, N is the relative atomic mass of the metal, and F a is the Faraday constant, and j is the current density distribution in the corrosion area.

[0135] Furthermore, the repetitive execution module 230 is specifically used for:

[0136] Each time the joint simulation step is performed, the simulated corrosion area, stress fatigue differences between preset components, and corrosion failure rate differences are recorded;

[0137] It is determined that the number of repeated executions reaches the preset number of times, and the stress fatigue difference and corrosion failure rate difference between the preset components under different corrosion radii are obtained.

[0138] It should be understood that the device corresponds to the above-mentioned pressure sensor evaluation method embodiment and can execute the various steps involved in the above-mentioned method embodiment. The specific functions of the device can be found in the above description. To avoid repetition, the detailed description is appropriately omitted here. The device includes at least one software function module that can be stored in a memory in the form of software or firmware or solidified in the operating system (OS) of the device.

[0139] Embodiment 3

[0140] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0141] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0142] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0143] Embodiment 4

[0144] An embodiment of the present invention further provides a computer-readable storage medium, on which instructions are stored. When the instructions are executed by a processor, the program having steps of the pressure sensor evaluation method is executed.

[0145] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0146] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0147] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0148] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0149] It should also be noted that the various specific technical features described in the above specific embodiments can be combined in any suitable manner without contradiction. To avoid unnecessary repetition, the embodiments of the present invention will not further describe various possible combinations.

[0150] In addition, the functional modules in each embodiment of the present application can be integrated together to form an independent part, or each module can exist separately, or two or more modules can be integrated to form an independent part.

[0151] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0152] The above are only embodiments of the present application and are not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included within the scope of the claims of the present application.

Claims

1. A pressure sensor evaluation method, characterized in that: The method comprises: Based on the preset parameter data, a three-dimensional model of the pressure sensor is established; the three-dimensional model of the pressure sensor includes preset components; Performing a joint simulation step on the three-dimensional model to determine the stress fatigue difference and the corrosion failure rate difference between the preset components; Repeating the joint simulation step of the three-dimensional model until the number of repetitions reaches a preset number of times, and obtaining the stress fatigue difference and the corrosion failure rate difference between the preset components under different corrosion radii; The degradation assessment results of the pressure sensor are determined based on the stress fatigue differences and corrosion failure rate differences between the preset components under different corrosion radii.

2. The pressure sensor evaluation method according to claim 1, characterized in that: The step of performing a joint simulation on the three-dimensional model comprises: Performing electrical, thermal and mechanical joint simulation on the three-dimensional model to determine the maximum contact stress point between the preset components, the stress distribution of the preset components and the temperature distribution; Based on the maximum contact stress point and the stress distribution of the preset component, a two-dimensional model of the pressure sensor is established, and a force-chemical joint simulation is performed on the two-dimensional model to determine the current density distribution in the corrosion area; According to the temperature distribution of the preset components and the current density distribution of the corrosion area, the stress fatigue difference and the corrosion failure rate difference between the preset components are determined.

3. The pressure sensor evaluation method according to claim 2, characterized in that: The performing of electrical, thermal and mechanical joint simulation on the three-dimensional model to determine the maximum contact stress point between the preset components and the stress distribution of the preset components includes: Performing electric-thermal joint simulation on the three-dimensional model to obtain temperature distribution of the three-dimensional model; Based on the temperature distribution, a thermal-mechanical joint simulation is performed on the three-dimensional model to obtain a stress distribution of a preset component; Based on the stress distribution of the preset components, the maximum contact stress point between the preset components is determined.

4. The pressure sensor evaluation method according to claim 3, characterized in that: The performing electric-thermal joint simulation on the three-dimensional model to obtain the temperature distribution of the three-dimensional model includes: Using formula (1), the three-dimensional model is subjected to electric and thermal joint simulation calculation to obtain the temperature distribution of the three-dimensional model: In formula (1), ρ is the density, c th is the specific heat capacity, λ is the thermal conductivity, q loss is the power consumption per unit volume, and T(x,t) is the temperature distribution function.

5. The pressure sensor evaluation method according to claim 2, characterized in that: The method of establishing a two-dimensional model of the pressure sensor based on the maximum contact stress point and the stress distribution of the preset component, and performing a force-chemical joint simulation on the two-dimensional model to determine the current density distribution in the corrosion area includes: Determining a corrosion area based on the maximum contact stress point and the stress distribution of the preset component; Establishing a two-dimensional model of the pressure sensor based on the corrosion area and the three-dimensional model; Based on the stress distribution of the corrosion area and the preset component, the two-dimensional model is subjected to a joint force simulation to obtain the current density distribution of the corrosion area.

6. The pressure sensor evaluation method according to claim 5, characterized in that: The method of performing a force-chemical joint simulation on the two-dimensional model based on the stress distribution of the corrosion area and the preset component to obtain the current density distribution of the corrosion area includes: Based on the stress distribution of the corrosion area and the preset component, the two-dimensional model is subjected to a mechanical joint simulation calculation using formula (2) to obtain the current density distribution of the corrosion area: In formula (2), is the exchange current density of the chemical reaction when the stress is 0, σMises is the von Mises stress at the point of maximum contact stress, V m is the molar molecular volume of the metal, b c is the Tafel slope of the cathode reaction.

7. The pressure sensor evaluation method according to claim 2, characterized in that: Determining the stress fatigue difference and the corrosion failure rate difference between the preset components according to the temperature distribution of the preset components and the current density distribution of the corrosion area includes: Determining the maximum temperature value of the preset component according to the temperature distribution of the preset component; Calculating the fatigue cumulative life of the preset component according to the maximum temperature value; Determining stress fatigue differences between the preset components based on the fatigue cumulative life of the preset components; Calculating the corrosion failure rate of the preset component according to the current density distribution in the corrosion area; Based on the corrosion failure rates of the preset components, the corrosion failure rate differences between the preset components are determined.

8. The pressure sensor evaluation method according to claim 7, characterized in that: The step of calculating the fatigue cumulative life of a preset component according to the maximum temperature value further includes: According to the maximum temperature value, the fatigue cumulative life of the preset component is calculated using formula (3): N f =Bf-αΔT-βG(T max ) (3); In formula (3), N f is the fatigue cumulative life of the preset component; f is the load loading frequency; ΔT is the cycle temperature difference, ΔT = T max -T min , T min is room temperature, T max is the maximum temperature value of the preset component; G(T max ) is the Arrhenius term at the highest temperature value reached in each cycle.

9. The pressure sensor evaluation method according to claim 7, characterized in that: The calculating the corrosion failure rate of the preset component according to the current density distribution of the corrosion area includes: According to the current density distribution in the corrosion area, the corrosion failure rate of the preset component is calculated using formula (4): In formula (4), v is the corrosion failure rate of the preset component, N is the relative atomic mass of the metal, and F a is the Faraday constant, and j is the current density distribution in the corrosion area.

10. The pressure sensor evaluation method according to claim 1, characterized in that: The step of repeatedly performing the joint simulation of the three-dimensional model until the number of repeated executions reaches a preset number of times, and obtaining the stress fatigue difference and the corrosion failure rate difference between the preset components under different corrosion radii, includes: Each time the joint simulation step is performed, the simulated corrosion area, stress fatigue differences between preset components, and corrosion failure rate differences are recorded; It is determined that the number of repeated executions reaches the preset number of times, and the stress fatigue difference and corrosion failure rate difference between the preset components under different corrosion radii are obtained.

11. A pressure sensor evaluation device, characterized in that: The device comprises: A modeling module, used to establish a three-dimensional model of the pressure sensor based on preset parameter data; the three-dimensional model of the pressure sensor includes preset components; A joint simulation module, used to perform a joint simulation step on the three-dimensional model to determine the stress fatigue difference and the corrosion failure rate difference between the preset components; A repeated execution module, used for repeatedly executing the joint simulation steps of the three-dimensional model until the number of repeated executions reaches a preset number of times, and obtaining the stress fatigue difference and the corrosion failure rate difference between the preset components under different corrosion radii; The evaluation module is used to determine the degradation evaluation result of the pressure sensor according to the stress fatigue difference and the corrosion failure rate difference between the preset components under different corrosion radii.

12. An electronic device, characterized in that: include: A processor and a memory, wherein the memory stores machine-readable instructions executable by the processor, and when the machine-readable instructions are executed by the processor, the pressure sensor evaluation method according to any one of claims 1 to 10 is executed.

13. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores instructions, which are used to enable a machine to execute the pressure sensor evaluation method according to any one of claims 1 to 10.

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