High-temperature component fretting fatigue life prediction method, device, equipment and medium
By acquiring the slip and wear state parameters of high-temperature alloy components and combining them with temperature correction factors, a fretting fatigue life prediction model was constructed, which solved the problem of accuracy in life prediction of high-temperature alloy components and achieved accurate life prediction under temperature changes.
Patent Information
- Application Number
- CN202510927985.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-07-07
- Publication Date
- 2025-10-17
AI Technical Summary
Existing technologies struggle to accurately predict the fretting fatigue life of high-temperature alloy components, especially under the influence of temperature variations, leading to significant errors in life prediction.
By acquiring the slip state parameters and wear state parameters of the components, and combining them with the melting point, service temperature and indoor temperature, a temperature correction factor is determined and input into the fretting fatigue life prediction model for accurate life prediction.
It achieves accurate prediction of the fretting fatigue life of high-temperature alloy components, eliminates the influence of temperature on life, and improves the accuracy of prediction.
Smart Images
Figure CN120805583A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The application relates to the technical field of life prediction of high-temperature alloy structural members, in particular to a high-temperature member fretting fatigue life prediction method, device, equipment and medium. BACKGROUND
[0002] Fretting fatigue refers to a phenomenon that a member is subjected to cyclic loading, small-amplitude relative sliding occurs between a surface and other contact surfaces, and fatigue strength of the member is reduced or early fracture is caused.
[0003] Existing researches show that the fretting fatigue failure of a nickel-based single crystal or a directionally solidified high-temperature alloy is closely related to crystal slip, and whether a slip system is activated or not is affected by a shear stress on the corresponding slip system, and a multi-physical field synergistic effect of fretting wear on changing surface topography, introducing stress concentration and inducing chemical corrosion can reduce the fatigue life of the member to 1 / 10 of traditional fatigue or even lower.
[0004] Therefore, considering the slip of a crystal of a high-temperature alloy member and the fretting wear of a contact surface of a single crystal high-temperature alloy member is an important step for predicting the fretting fatigue life of the high-temperature alloy member. SUMMARY
[0005] The application provides a high-temperature member fretting fatigue life prediction method, device, equipment and medium, which can accurately predict the fretting fatigue life of the member.
[0006] To achieve the above object, the application adopts the following technical scheme: In a first aspect, the application provides a high-temperature member fretting fatigue life prediction method, comprising: obtaining a first state parameter corresponding to a first member; wherein the first state parameter comprises a first slip state parameter and a first wear state parameter; determining a temperature correction factor corresponding to the first member based on a melting point, a service temperature and an indoor temperature of the first member; inputting the first state parameter and the temperature correction factor into a fretting fatigue life prediction model to obtain a fretting fatigue life prediction result corresponding to the first member; wherein the fretting fatigue life prediction model is fitted based on a life experimental value of a second member under a target working condition and a second state parameter obtained by performing finite element simulation on the second member under the target working condition; the second member is a parallel experimental sample of the first member.
[0007] In one embodiment, the first slip state parameter corresponding to the first member is obtained, comprising: The formula for determining the first slip state parameter corresponding to the first member is as follows:
[0008]
[0009]
[0010] wherein, is a first slip state parameter, is a maximum shear stress corresponding to a first dangerous point on the first component, is a Mises equivalent stress, is a normal stress of the first dangerous point, is a tangential stress of the first dangerous point.
[0011] In an embodiment, the first wear state parameter corresponding to the first component is obtained, comprising: A formula for determining the first wear state parameter corresponding to the first component is as follows:
[0012]
[0013] wherein, is a first wear state parameter, is a normal stress of a first dangerous point on the first component, is a surface quality coefficient of the first component, is a relative slip value of surface contact between the first components, is a tangential stress of the first dangerous point, and is an elastic modulus of the two first components when they are in contact at room temperature and have the best fatigue performance, and K is a slip coefficient.
[0014] In an embodiment, the construction process of the fretting fatigue life prediction model is as follows: Obtaining a life experiment value of the second component under a target working condition; for the target working condition, performing finite element simulation on the second component to determine a second dangerous point of the second component and a second state parameter corresponding to the second dangerous point; wherein the second state parameter comprises a second slip state parameter and a second wear state parameter; determining a temperature correction factor corresponding to the second component based on a melting point, a service temperature and an indoor temperature corresponding to the second component; and constructing the fretting fatigue life prediction model based on the life experiment value, the second state parameter and the temperature correction factor.
[0015] In an embodiment, the temperature correction factor corresponding to the component is determined based on the melting point, the service temperature and the indoor temperature corresponding to the second component, comprising: A formula for determining the temperature correction factor corresponding to the second component is as follows:
[0016] wherein, T is a temperature correction factor, Tm is a melting point, Ts is a service temperature, Ti is an indoor temperature, and m is a temperature correction factor index.
[0017] In one embodiment, a fretting fatigue life prediction model is constructed based on the life experimental value, the second state parameter, and the temperature correction factor, including: The relationship between the life experimental value, the second state parameter, and the temperature correction factor is fitted to obtain fitting coefficients; a life calculation expression is determined based on the fitting coefficients; and the fretting fatigue life prediction model is constructed based on the life calculation expression.
[0018] In one embodiment, the relationship between the life experimental value, the second state parameter, and the temperature correction factor is fitted to obtain fitting coefficients, including: The relationship between the life experimental value, the second state parameter, and the temperature correction factor is fitted as follows:
[0019] wherein N is the life experimental value, and are both the second state parameter, R is the temperature correction factor, , , and are all fitting coefficients.
[0020] In a second aspect, the present application provides a fretting fatigue life prediction device for a high-temperature component, including: An acquisition module is configured to acquire a first state parameter corresponding to a first component; wherein the first state parameter includes a first slip state parameter and a first wear state parameter; A factor determination module is configured to determine a temperature correction factor corresponding to the first component based on a melting point, a service temperature, and an indoor temperature corresponding to the first component; A prediction module is configured to input the first state parameter and the temperature correction factor into a fretting fatigue life prediction model to obtain a fretting fatigue life prediction result corresponding to the first component; wherein the fretting fatigue life prediction model is fitted based on a life experimental value of a second component under a target working condition and a second state parameter of the second component obtained by finite element simulation under the target working condition; and the second component is a parallel experimental sample of the first component.
[0021] In a third aspect, the present application provides a computing device including a memory and a processor; wherein one or more computer programs are stored in the memory, and the one or more computer programs include instructions; when the instructions are executed by the processor, the computing device performs the method according to any one of the first aspect.
[0022] In a fourth aspect, the present application provides a computer readable storage medium for storing a computer program for executing the method according to any one of the first aspect.
[0023] In a fifth aspect, the present application provides a computer program product comprising one or more computer instructions, which, when executed by a computer, execute the method according to any one of the first aspect.
[0024] From the above technical solutions, the present application has at least the following beneficial effects: In the present application, by obtaining the first slip state parameter and the first wear state parameter corresponding to the first component, a data basis is provided for predicting the fretting fatigue life of the first component. Further, based on the melting point, service temperature and indoor temperature corresponding to the first component, a temperature correction factor corresponding to the first component can be determined, and the influence of temperature on the fretting fatigue life of the first component is corrected. Then, the first state parameter and the temperature correction factor can be input into the fretting fatigue life prediction model to obtain the fretting fatigue life prediction result corresponding to the first component. The present application introduces a temperature correction factor to eliminate the influence of temperature on the fretting fatigue life of the first component. Furthermore, by introducing the fretting fatigue life prediction model, the fretting fatigue life of the first component is accurately predicted.
[0025] It should be understood that the description of technical features, technical solutions, beneficial effects or similar language in the present application does not imply that all features and advantages can be achieved in any single embodiment. On the contrary, it can be understood that the description of a feature or a beneficial effect means that the specific technical feature, technical solution or beneficial effect is included in at least one embodiment. Therefore, the description of technical features, technical solutions or beneficial effects in the specification does not necessarily refer to the same embodiment. Furthermore, the technical features, technical solutions and beneficial effects described in the embodiments can be combined in any appropriate manner. Those skilled in the art will understand that the embodiments can be implemented without one or more specific technical features, technical solutions or beneficial effects of a particular embodiment. In other embodiments, additional technical features and beneficial effects can be identified in specific embodiments that do not embody all embodiments. BRIEF DESCRIPTION OF DRAWINGS
[0026] Figure 1 An application environment diagram of a fretting fatigue life prediction method for a high-temperature component provided in an embodiment of the present application; Figure 2 A flowchart of a fretting fatigue life prediction method for a high-temperature component provided in an embodiment of the present application; Figure 3 Fig. 1 is a flowchart of a process for constructing a fretting fatigue life prediction model according to an embodiment of the present application. Figure 4 Fig. 2 is a block diagram of a fretting fatigue life prediction device for a high-temperature component according to an embodiment of the present application. Figure 5 Fig. 3 is a diagram of an internal structure of a computer device according to an embodiment of the present application. DETAILED DESCRIPTION
[0027] The terms "first", "second", and "third" and the like in the description and the drawings of the present application are used to distinguish between similar objects, and are not necessarily used to describe a particular sequential or chronological order.
[0028] In the embodiments of the present application, the words "exemplary" and "for example" are used to mean serving as an example, instance, or illustration, and not necessarily as preferred or advantageous over other embodiments or designs. The words "at least one of' are used to mean one or more of an enumerated list of items, that is, any one or a combination of items in the list. The words "or" and "and" are used to mean either or both, that is, an inclusive OR. The words "based on" are used to mean at least one of the items in the list that follows the word "based on" is used to mean "based, at least in part, on."
[0029] For the sake of clear and concise description of the following embodiments, first, a brief introduction of related art is given: Fretting fatigue refers to a phenomenon that a component is reduced in fatigue strength or early fractured due to small-amplitude relative sliding between a surface and another contact surface under the action of cyclic loading.
[0030] Existing researches show that the fretting fatigue failure of a nickel-based single crystal or a directionally solidified high-temperature alloy is closely related to crystal slip, and whether a slip system is activated or not is affected by a shear stress on the corresponding slip system, and fretting wear can reduce the fatigue life of a component to 1 / 10 of traditional fatigue or even lower by means of multi-physical field synergistic effect such as changing surface topography, introducing stress concentration, and inducing chemical corrosion.
[0031] Therefore, considering the crystal slip of a high-temperature alloy component and the fretting wear of a contact surface of a single crystal high-temperature alloy component is an important step for exploring the fretting fatigue life of a high-temperature alloy component.
[0032] In order to make the technical solutions of the present application clearer and easier to understand, the application scenarios of the technical solutions of the present application are introduced below in conjunction with the drawings. As shown in Figure 1 Fig. 1 is a flowchart of a process for constructing a fretting fatigue life prediction model according to an embodiment of the present application.
[0033] In this application scenario, the server 104 can obtain the first state parameter, melting point, service temperature and indoor temperature and other data of the first component through the data storage system. Further, the data obtained can be calculated and analyzed to predict the micro fatigue life of the first component and obtain the micro fatigue life prediction result of the first component. Then, the micro fatigue life prediction result can be displayed through the terminal 102 for technicians to view.
[0034] In order to make the technical solutions of the present application clearer and easier to understand, a high-temperature component micro fatigue life prediction method provided by the embodiments of the present application is introduced below in combination with the above application scenario. As shown in the figure, the figure is a flowchart of a high-temperature component micro fatigue life prediction method provided by the embodiments of the present application. Figure 2
[0035] S201, obtaining a first state parameter corresponding to a first component.
[0036] The first component can represent a part made of high-temperature alloy material that can work stably for a long time in an extremely high-temperature, high-pressure, corrosive or complex stress environment, such as a tenon and mortise component made of nickel-based directional solidification high-temperature alloy. The first state parameter includes a first slip state parameter and a first wear state parameter. The first slip state parameter can represent the micro wear and fatigue performance of the contact surface between the components. The first wear state parameter can represent the wear degree of the component.
[0037] Optionally, the formula for determining the first slip state parameter corresponding to the first component is as follows:
[0038]
[0039]
[0040] wherein, is the first slip state parameter, is the maximum shear stress corresponding to the first dangerous point on the first component, which can be calculated by the normal stress and the tangential stress between the contact surfaces, is the Mises equivalent stress, is the normal stress of the first dangerous point, is the tangential stress of the first dangerous point; the first dangerous point can represent the highest risk point of stress concentration, plastic deformation or fatigue crack initiation on the first component.
[0041] It should be noted that, The maximum value of all shear stresses generated inside the first component under complex stress state can represent a key parameter for judging whether the first component enters plastic deformation or failure, and under plane stress state, The maximum value of all shear stresses generated inside the first component under complex stress state can represent a key parameter for judging whether the first component enters plastic deformation or failure, and under plane stress state,
[0042] wherein, is the maximum principal stress; is the minimum principal stress.
[0043] is a stress scalar based on distortion energy theory, which can be used to judge whether the first component enters plastic yield state. Under plane stress state, The maximum value of all shear stresses generated inside the first component under complex stress state can represent a key parameter for judging whether the first component enters plastic deformation or failure, and under plane stress state,
[0044] Further, the formula for determining the first wear state parameter corresponding to the first component is as follows:
[0045]
[0046] wherein, is the first wear state parameter, is the normal stress of the first dangerous point on the first component, is the surface quality coefficient of the first component, is the relative slip value of the surface contact between the first components, is the tangential stress of the first dangerous point, and are the elastic moduli of the two first components when they are in contact at room temperature and have the best fatigue performance, and K is the slip coefficient.
[0047] Optionally, the numerical values of the normal stress and the tangential stress can be determined by the structural parameters (such as thickness, length) of the first component, the contact area, the angle, the centrifugal force and the pressure, etc.
[0048] It should be noted that the calculation formula of the first wear state parameter needs to make the following simplifying assumptions for the high-temperature alloy component after each fretting wear cycle: the contact surface morphology of the component does not change, i.e., the contact stress does not change, and the relative slip distance of the two contact surfaces after wear does not change. The essence of relative slip is the non-coordinated elastic-plastic deformation of the contact body under the action of the stress field, and the displacement amplitude is directly limited by the elastic modulus of the material. The simplified calculation formula of the relative slip value can be represented as:
[0049] wherein, E is the elastic modulus of the anisotropic material (e.g. tenon) when it is along the
[001] crystal orientation; E is the elastic modulus of the isotropic material (e.g. mortise).
[0050] It should be noted that the nickel-based single crystal superalloy is an anisotropic material, which exhibits excellent mechanical properties when it is oriented at 001; isotropic materials such as deformed nickel-based superalloys do not need to be labeled with an orientation. Optionally, the tenon is generally made of a nickel-based single crystal superalloy, and the mortise is generally made of a powder metallurgy nickel-based superalloy.
[0051] S202, determining a temperature correction factor corresponding to the first component based on the melting point, service temperature and indoor temperature corresponding to the first component.
[0052] Wherein, the service temperature can represent the highest steady-state temperature that the first component is subjected to in actual work; the temperature correction factor can be used to adjust the relationship between the material properties (such as elastic modulus, strength, creep rate, etc.) of the component and temperature.
[0053] For example, the formula for determining the temperature correction factor is as follows:
[0054] Wherein, is the melting point of the material of the first component; is the service temperature; is the indoor temperature, generally 20℃; m is the temperature correction factor index, which can be obtained by fitting.
[0055] It should be noted that temperature can cause changes in material properties and oxidation of the worn surface, for example, the elastic modulus of directional solidification superalloy DZ125 at 600℃ is reduced from about 130GPa to about 110GPa when the crystal orientation is
[001] at room temperature. By introducing the temperature correction factor for dynamic temperature correction, the accuracy of the fretting fatigue life prediction is improved.
[0056] S203, inputting the first state parameter and the temperature correction factor into the fretting fatigue life prediction model to obtain the fretting fatigue life prediction result corresponding to the first component.
[0057] Wherein, the fretting fatigue life prediction model is fitted based on the life experimental value of the second component under the target working condition and the second state parameter obtained by finite element simulation of the second component under the target working condition; the fretting fatigue life prediction result can include but is not limited to basic life, corrected life, confidence interval, uncertainty source and optimization suggestion, etc.
[0058] It should be noted that the target working condition can include different loads and different temperatures, but the target working condition cannot include all working conditions; the second component is a parallel experimental sample of the first component, that is, the second component and the first component are repeated samples prepared and tested under the same conditions, such as being substantially consistent in material preparation, machining, surface treatment, shape, etc.
[0059] Exemplarily, the first state parameter and the temperature correction factor are input into the fretting fatigue life prediction model, the first state parameter and the temperature correction factor are calculated and analyzed by the fretting fatigue life prediction model, and the fretting fatigue life prediction result corresponding to the first component is obtained according to the calculation and analysis result.
[0060] The high-temperature component fretting fatigue life prediction method described above provides a data basis for predicting the fretting fatigue life of the first component by obtaining the first slip state parameter and the first wear state parameter corresponding to the first component; further, the temperature correction factor corresponding to the first component can be determined based on the melting point, service temperature and indoor temperature of the first component, and the influence of temperature on the fretting fatigue life of the first component is corrected; and then, the first state parameter and the temperature correction factor can be input into the fretting fatigue life prediction model to obtain the fretting fatigue life prediction result corresponding to the first component. The present scheme provides a way to eliminate the influence of temperature on the fretting fatigue life of the first component by introducing the temperature correction factor; furthermore, by introducing the fretting fatigue life prediction model, the fretting fatigue life of the first component is accurately predicted.
[0061] On the basis of the above-mentioned embodiments, the present embodiment explains and describes the above-mentioned S203 in detail. Specifically, the present embodiment involves the process of constructing a fretting fatigue life prediction model, as shown in Figure 3 The specific steps include the following steps: S301, obtaining a life experiment value of the second component under a target working condition.
[0062] The life experiment value can represent the number of cycles or time period from being put into use to failure (such as fracture or plastic deformation) of the component under a specific working condition (such as load, environmental temperature, vibration, etc.), which can be directly measured by a machine, such as a fatigue loading tester for life testing of the second component.
[0063] For example, the second component can be fixed on the test fixture in the fatigue loading test machine, the sensors (load, displacement, strain) are calibrated to ensure zero error; further, 10-20 cycles of low load operation can be performed to check the equipment operation state and data acquisition system; further, the set working condition can be continuously loaded, and the cycle number, load-displacement curve, temperature and other parameters are recorded in real time; the test is stopped when the following conditions occur: component fracture, crack propagation to critical size (such as more than 1 / 3 of the component thickness), or reaching the preset life threshold (such as 10 7 cycles); further, the fracture morphology can be observed by scanning electron microscope, the fatigue source area, crack propagation area and instantaneous fracture area are distinguished, the failure mode (such as bending fatigue, contact fatigue) is recorded, and the failure reason (such as stress concentration, material defect) is analyzed; finally, according to the standards such as fracture of the second component or occurrence of initial crack, the life experimental value of the second component under the target working condition is determined.
[0064] S302, for the target working condition, the second component is subjected to finite element simulation, the second dangerous point of the second component is determined, and the second state parameter corresponding to the second dangerous point.
[0065] Wherein, the finite element simulation is a technology for solving complex engineering problems by numerical calculation method, the core idea of which is to discretize the continuous physical system into a finite number of small units (such as cube, tetrahedron, etc.), and finally the response of the whole system is obtained by solving the mechanical, thermal or electromagnetic behavior of these units; the second dangerous point can represent the highest risk point of stress concentration, plastic deformation or fatigue crack initiation on the second component; the second state parameter includes the second slip state parameter and the second wear state parameter.
[0066] It should be noted that, since the second component is a parallel experimental sample of the first component, the first dangerous point and the second dangerous point are the same position.
[0067] Exemplarily, the load, temperature and other working conditions of the second component can be set according to the target working condition; then, the stress distribution cloud diagram of the second component under the target working condition can be obtained through statics analysis, the stress peak region can be identified, and whether the stress concentration exceeds the allowable stress of the material can be determined by using the stress linearization technology to decompose the nonlinear stress into film stress, bending stress and peak stress; then, the stress concentration coefficient can be calculated for typical geometric features (such as circular holes, U-shaped grooves, etc.) in combination with theoretical formulas (such as the Neuber theory), and compared and verified with the simulation results to ensure the accurate positioning of the second dangerous point. Further, the second slip state parameter can be determined by extracting the contact stress, relative slip amount and other parameters at the second dangerous point, and the second wear state parameter can be determined by calculating the wear amount, wear rate and other parameters at the second dangerous point in combination with the material wear characteristics of the second component by using the energy-based wear algorithm or the finite element wear simulation plug-in (such as the Abrasion Module).
[0068] S303, determining a temperature correction factor corresponding to the second component based on the melting point, service temperature and indoor temperature corresponding to the second component.
[0069] Optionally, the formula for determining the temperature correction factor corresponding to the second component is as follows:
[0070] wherein, the temperature correction factor is T, the melting point is Tm, the service temperature is Ts, the indoor temperature is T0, and m is the temperature correction factor index.
[0071] It should be noted that since the second component is a parallel experimental sample of the first component, the melting point, service temperature and indoor temperature of the second component are the same as those of the first component, that is, the process of determining the temperature correction factor corresponding to the second component is the same as that of determining the temperature correction factor corresponding to the first component, and the values are the same.
[0072] S304, constructing a fretting fatigue life prediction model based on the life experimental value, the second state parameter and the temperature correction factor.
[0073] In an implementation manner, the life experimental value, the second state parameter and the temperature correction factor are fitted to obtain a fitting coefficient; a life calculation expression is determined based on the fitting coefficient; and a fretting fatigue life prediction model is constructed based on the life calculation expression.
[0074] Optionally, the fitting relationship of the life experimental value, the second state parameter and the temperature correction factor is as follows:
[0075] Wherein, N is the life test value, and are the second state parameters, is the second slip state parameter, is the second wear state parameter, R is the temperature correction factor, 、 、 and are fitting coefficients.
[0076] For example, for each working condition, the life experimental value under the working condition and the corresponding second slip state parameter and second wear state parameter can be sorted into the same data in the data set; then, the Levenberg-Marquardt optimization algorithm can be used to optimize the multiple data in the data set (each including the life experimental value, the second state parameter and the temperature correction factor) by nonlinear least square fitting, and the experimental life value can be used as a benchmark to optimize the life experimental value. 、 、 and Iterative optimization is performed to minimize the sum of squares of the residuals between the life prediction value (i.e., the life value predicted by the model) and the life experimental value. Furthermore, the model accuracy can be evaluated through indicators such as goodness of fit and mean relative error. Once the model accuracy meets the preset requirements, the final fretting fatigue life prediction model can be obtained.
[0077] In the embodiment of the present application, finite element simulation is performed to provide a way to determine the state parameters of the component corresponding to the life experimental value under the target working conditions, and further provide data for determining the relationship between the life experimental value, the second state parameter and the temperature correction factor, thereby laying the foundation for ultimately obtaining an accurate micro-fatigue life prediction model.
[0078] Combined with the above Figures 1 to 3 The method for predicting the fretting fatigue life of high-temperature components provided in the embodiment of the present application is introduced in detail. The device and equipment provided in the embodiment of the present application will be introduced in conjunction with the accompanying drawings.
[0079] like Figure 4 As shown in FIG. 4 , this figure is a schematic diagram of a device for predicting the fretting fatigue life of a high-temperature component provided by an embodiment of the present application. The device 400 includes: an acquisition module 401, a factor determination module 402, and a prediction module 403, wherein: An acquisition module 401 is configured to acquire a first state parameter corresponding to a first component; wherein the first state parameter includes a first slip state parameter and a first wear state parameter; A factor determination module 402 is configured to determine a temperature correction factor corresponding to the first component based on a melting point, a service temperature, and an indoor temperature corresponding to the first component; The prediction module 403 is configured to input the first state parameter and the temperature correction factor into a fretting fatigue life prediction model to obtain a fretting fatigue life prediction result corresponding to the first component; the fretting fatigue life prediction model is fitted based on a life experiment value of a second component under a target working condition and a second state parameter obtained by finite element simulation of the second component under the target working condition; the second component is a parallel experiment sample of the first component.
[0080] In one embodiment, the acquisition module 401 is specifically configured to: The formula for determining the first slip state parameter corresponding to the first component is as follows:
[0081]
[0082]
[0083] wherein, is the first slip state parameter, is the maximum shear stress corresponding to the first dangerous point on the first component, is the Mises equivalent stress, is the normal stress of the first dangerous point, is the tangential stress of the first dangerous point.
[0084] In one embodiment, the acquisition module 401 is specifically configured to: The formula for determining the first wear state parameter corresponding to the first component is as follows:
[0085]
[0086] wherein, is the first wear state parameter, is the normal stress of the first dangerous point on the first component, is a surface quality coefficient of the first component, is a relative slip value of surface contact between the first components, is the tangential stress of the first dangerous point, and is the elastic modulus of the two first components when they are in contact at room temperature and have the best fatigue performance, and K is a slip coefficient.
[0087] In one embodiment, the fretting fatigue life prediction device 400 for high-temperature components further comprises: The model construction module is configured to: obtain a service life experimental value of the second component under a target working condition; perform finite element simulation on the second component for the target working condition, to determine a second dangerous point of the second component and a second state parameter corresponding to the second dangerous point; the second state parameter includes a second sliding state parameter and a second wear state parameter; determine a temperature correction factor corresponding to the second component based on a melting point, a service temperature and an indoor temperature corresponding to the second component; and construct a fretting fatigue life prediction model based on the service life experimental value, the second state parameter and the temperature correction factor.
[0088] In one embodiment, the model construction module is specifically configured to: The formula for determining the temperature correction factor corresponding to the second component is as follows:
[0089] wherein, is the temperature correction factor, is the melting point, is the service temperature, is the indoor temperature, and m is the temperature correction factor index.
[0090] In one embodiment, the model construction module is specifically configured to: fit the relationship between the service life experimental value, the second state parameter and the temperature correction factor to obtain a fitting coefficient; determine a life calculation expression based on the fitting coefficient; and construct the fretting fatigue life prediction model based on the life calculation expression.
[0091] In one embodiment, the model construction module is specifically configured to: The relationship between the service life experimental value, the second state parameter and the temperature correction factor is fitted as follows:
[0092] wherein N is the service life experimental value, and are both the second state parameter, R is the temperature correction factor, , , and are all fitting coefficients.
[0093] The high-temperature component fretting fatigue life prediction device 400 according to the embodiments of the present application can correspond to the method described in the embodiments of the present application, and the above-mentioned other operations and / or functions of each module / unit of the high-temperature component fretting fatigue life prediction device 400 are respectively implemented to realize the corresponding processes of each method in the embodiments shown in Figure 2 , Figure 3 For brevity, they will not be described here.
[0094] The embodiment of the present application further provides a computing device. The computing device can be a local computing device or an application server.
[0095] As shown in the figure, the figure is a schematic diagram of a computing device provided by the embodiment of the present application, and the computing device 700 includes a bus 701, a processor 702, a communication interface 703 and a memory 704. The processor 702, the memory 704 and the communication interface 703 communicate through the bus 701. Figure 5
[0096] The bus 701 can be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc. For the convenience of representation, Figure 5 only one thick line is used in the figure, but it does not mean that there is only one bus or only one type of bus.
[0097] The processor 702 can be any one or more of a central processing unit (CPU), a graphics processing unit (GPU), a microprocessor (MP) or a digital signal processor (DSP).
[0098] The communication interface 703 is used for external communication. For example, the communication interface 703 can be used for communication with the terminal 102. The communication interface 703 is used to send the prediction result to the terminal 102, so that the terminal 102 presents the prediction result, thereby displaying the fretting fatigue life prediction result.
[0099] The memory 704 can include a volatile memory, such as a random access memory (RAM). The memory 704 can also include a non-volatile memory, such as a read-only memory (ROM), a flash memory, a hard disk drive (HDD) or a solid state drive (SSD).
[0100] The memory 704 stores executable code, and the processor 702 executes the executable code to perform the high-temperature component fretting fatigue life prediction method.
[0101] Specifically, in the case of the embodiment shown, and Figure 4 Figure 4 In the case where each module or unit of the high-temperature component fretting fatigue life prediction device described in the embodiment is implemented by software, the software or program code required for the function of each module / unit in the foregoing method is executed. Figure 4 The software or program code required for the function of each module / unit in the foregoing method can be stored in the memory 704 in part or in whole. The processor 702 executes the program code corresponding to each unit stored in the memory 704 to execute the foregoing high-temperature component fretting fatigue life prediction method.
[0102] The embodiment of the present application also provides a computer readable storage medium. The computer readable storage medium can be any available medium or data storage device that can be used to store data that can be accessed by a computing device, such as a data center. The available medium can be a magnetic medium (such as a floppy disk, a hard disk, a magnetic tape), an optical medium (such as a DVD), or a semiconductor medium (such as a solid state disk), etc. The computer readable storage medium includes instructions that instruct the computing device to execute the foregoing high-temperature component fretting fatigue life prediction method.
[0103] The embodiment of the present application also provides a computer program product, which includes one or more computer instructions. When the computer instructions are loaded and executed on a computing device, the foregoing processes or functions described in the embodiment of the present application are generated in whole or in part.
[0104] The computer instructions can be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another computer readable storage medium, for example, the computer instructions can be transmitted from one website, computer or data center to another website, computer or data center through a wired (such as a coaxial cable, an optical fiber, a digital subscriber line) or wireless (such as infrared, wireless, microwave, etc.) manner.
[0105] The computer program product is executed by a computer, and the computer executes any of the foregoing high-temperature component fretting fatigue life prediction methods. The computer program product can be a software installation package, and in the case where any of the foregoing high-temperature component fretting fatigue life prediction methods is required, the computer program product can be downloaded and executed on the computer.
[0106] The description of the processes or structures corresponding to each of the foregoing figures has its own emphasis, and the parts not described in detail in a certain process or structure can be referred to the related description of other processes or structures.
[0107] The above merely provides the specific implementation of the present application, but the protection scope of the present application is not limited to this, any change or replacement within the technical scope disclosed by the present application should be covered in the protection scope of the present application.
Claims
1. A method for predicting the fretting fatigue life of high-temperature components, characterized in that: The method comprises: Acquire a first state parameter corresponding to the first component; wherein the first state parameter includes a first slip state parameter and a first wear state parameter; determining a temperature correction factor corresponding to the first component based on a melting point, a service temperature, and an indoor temperature corresponding to the first component; The first state parameter and the temperature correction factor are input into a fretting fatigue life prediction model to obtain a fretting fatigue life prediction result corresponding to the first component; wherein, the fretting fatigue life prediction model is fitted based on the life experimental value of the second component under the target working condition and the second state parameter obtained by finite element simulation of the second component under the target working condition; the second component is a parallel experimental sample of the first component.
2. The method according to claim 1, characterized in that The obtaining of a first slip state parameter corresponding to the first component includes: The formula for determining the first slip state parameter corresponding to the first component is as follows: in, is the first slip state parameter, is the maximum shear stress corresponding to the first dangerous point on the first component, is the Mises equivalent stress, is the normal stress at the first danger point, is the tangential stress at the first danger point.
3. The method according to claim 1, characterized in that The obtaining of a first wear state parameter corresponding to the first component includes: The formula for determining the first wear state parameter corresponding to the first component is as follows: in, is the first wear state parameter, is the normal stress at the first dangerous point on the first component, is the surface quality coefficient of the first component, is the relative slip value of the surface contact between the first components, is the tangential stress at the first danger point, and is the elastic modulus of the two first components when they are in contact at room temperature and have the best fatigue performance, and K is the slip coefficient.
4. The method according to claim 1, wherein The construction process of the fretting fatigue life prediction model is as follows: Obtaining a life test value of the second component under target working conditions; performing finite element simulation on the second component according to the target working condition to determine a second dangerous point of the second component and a second state parameter corresponding to the second dangerous point; wherein the second state parameter includes a second slip state parameter and a second wear state parameter; determining a temperature correction factor corresponding to the second component based on a melting point, a service temperature, and an indoor temperature corresponding to the second component; A fretting fatigue life prediction model is constructed based on the life experimental value, the second state parameter and the temperature correction factor.
5. The method according to claim 4, characterized in that The determining of the temperature correction factor corresponding to the component based on the melting point, service temperature, and indoor temperature corresponding to the second component includes: The formula for determining the temperature correction factor corresponding to the second component is as follows: in, is the temperature correction factor, is the melting point, is the service temperature, is the indoor temperature, and m is the temperature correction factor index.
6. The method according to claim 4, characterized in that The constructing of a fretting fatigue life prediction model based on the life experimental value, the second state parameter and the temperature correction factor includes: Performing relationship fitting on the life experimental value, the second state parameter, and the temperature correction factor to obtain a fitting coefficient; Determining a life calculation expression based on the fitting coefficients; Based on the life calculation expression, a fretting fatigue life prediction model is constructed.
7. The method according to claim 6, characterized in that The performing relationship fitting on the life experimental value, the second state parameter, and the temperature correction factor to obtain a fitting coefficient includes: The relationship between the life experimental value, the second state parameter and the temperature correction factor is fitted as follows: Wherein, N is the life test value, and are the second state parameters, R is the temperature correction factor, 、 、 and are fitting coefficients.
8. A device for predicting the fretting fatigue life of high-temperature components, characterized in that: The device comprises: An acquisition module, configured to acquire a first state parameter corresponding to the first component; wherein the first state parameter includes a first slip state parameter and a first wear state parameter; a factor determination module, configured to determine a temperature correction factor corresponding to the first component based on a melting point, a service temperature, and an indoor temperature corresponding to the first component; A prediction module is used to input the first state parameter and the temperature correction factor into a fretting fatigue life prediction model to obtain a fretting fatigue life prediction result corresponding to the first component; wherein the fretting fatigue life prediction model is obtained by fitting based on the life experimental value of the second component under the target working condition and the second state parameter obtained by finite element simulation of the second component under the target working condition; the second component is a parallel experimental sample of the first component.
9. A computing device, characterized in that including memory and processor; One or more computer programs are stored in the memory, and the one or more computer programs include instructions; when the instructions are executed by the processor, the computing device executes the method according to any one of claims 1 to 7.
10. A computer-readable storage medium, characterized in that The computer-readable storage medium is used to store a computer program, and the computer program is used to execute the method according to any one of claims 1 to 7.