Method and system for optimizing stress of hollow shaft type component by coordinating thermal vibration and bulging

Abstract

The application relates to the technical field of component processing, and discloses a hollow shaft type component thermal vibration and bulging coordinated stress optimization method and system. f The application relates to the technical field of component processing, and discloses a hollow shaft type component thermal vibration and bulging coordinated stress optimization method and system. The application relates to the technical field of component processing, and discloses a hollow shaft type component thermal vibration and bulging coordinated stress optimization method and system. The application relates to the technical field of component processing, and discloses a hollow shaft type component thermal vibration and bulging coordinated stress optimization method and system. The application relates to the technical field of component processing, and discloses a hollow shaft type component thermal vibration and bulging coordinated stress optimization method and system. The application relates to the technical field of component processing, and discloses a hollow shaft type component thermal vibration and bulging coordinated stress optimization method and system.

Description

Technical Field

[0001] The present invention relates to the technical field of component processing, and in particular to an optimization method and system for coordinated stress control of thermal vibration and expansion of hollow shaft components. Background Art

[0002] In recent years, with the increasing application of hollow shaft components in various industries and higher and higher performance requirements, it is extremely important to study the manufacturing and forming of hollow shaft components. However, the problems existing in hollow shaft components are also obvious. They are prone to plastic instability and loss of overall roundness in the latter part of the processing process. Studies have shown that components are prone to deformation during processing and use mainly due to the influence of residual stress. In order to effectively control and reduce deformation, it is necessary to reduce residual stress as much as possible and make the residual stress as uniform as possible. Commonly used methods for reducing residual stress include "thermal aging" and "vibration aging". Thermal aging will coarsen the grains of the ring and reduce the strength. Vibration aging can reduce the residual stress on the end face of the component, but both have their own defects. In addition, the bulging method can also be used to regulate the residual stress of hollow shaft components. The bulging method can reduce the average residual stress of the component and improve the uniformity of the residual stress of the component, but the improvement of the uneven distribution of residual stress of the component as a whole is not obvious.

[0003] As the thrust-to-weight ratio of aircraft engines continues to increase, the single-stage load continues to increase, the stress level of components becomes higher and higher, and the working conditions become more severe. It is necessary to seek new materials that can meet the more stringent requirements of the engine. f / TC17 has great application potential due to its excellent room temperature and high temperature strength, modulus, low density, excellent creep resistance and fatigue performance. f / TC17 is usually prepared by foil pressing, fiber-matrix coating method, etc. However, due to the f / TC17 has a high strength, but its residual stress control has limitations such as difficulty in precise control and uneven control area. In addition, the method of coordinated control of residual stress by thermal vibration and bulging has many control parameters, and the control accuracy is difficult to guarantee. In addition, the range of action on large parts is small and the accuracy is not high. For high-strength composite materials, the residual stress control is difficult and the accuracy is low. Therefore, in order to solve the above problems, it is necessary to have an optimization method and system for coordinated control of stress by thermal vibration and bulging of hollow shaft components. Summary of the Invention

[0004] (1) Technical problems solved

[0005] In view of the deficiencies in the prior art, the present invention provides an optimization method and system for coordinated stress control during thermal vibration and expansion of hollow shaft components, which solves the problems existing in the above-mentioned background technology.

[0006] (2) Technical solution

[0007] To achieve the above object, the application provides the following technical scheme: a hollow shaft type component thermal vibration and bulging coordinated stress optimization method, comprising the following steps:

[0008] S1, collecting hollow shaft type SiC f / TC17 composite components after forming the material composition of the component, sample shape and size, surface state and stress measurement direction, establish the simulation model of the initial state of the component, input the above data into the simulation model;

[0009] S2, according to the initial simulation model, a digital twin model with initial residual stress is established; the digital twin model data is collected from actual operation, production and experiment; the model data includes: initial residual stress, laboratory temperature, thermal aging system, vibration aging system and bulging system model data;

[0010] S3, based on the digital twin model, the component is subjected to thermal aging, and the process simulation mainly considers the thermal and mechanical properties of the material; the properties include the mechanical properties of the material itself, vibration frequency, aging temperature, holding temperature, cooling mode and clamping mode;

[0011] S4, in the process of thermal aging of hollow shaft type SiC f / TC17 composite components, hydraulic bulging and vibration aging are carried out at the same time; the finished workpiece is obtained, and the parameters and residual stress values of the processing flow are recorded; the processing parameters include heating speed, heating temperature, cooling mode, excitation frequency, excitation time, amplitude, bulging rate and bulging force;

[0012] S5, based on the data analysis method, the error in the running process of the digital twin model is adjusted, and the residual stress value and bulging coefficient of the actual hollow shaft type SiC f / TC17 composite components after processing are matched to correct the error;

[0013] S6, the digital twin model is associated with the actual hollow shaft type SiC f / TC17 composite components, the residual stress of the hollow shaft type SiC f / TC17 composite components under different conditions is predicted, and the prediction result is obtained;

[0014] S7, according to the knowledge base technology, the residual stress value and thermal bulging coefficient of the hollow shaft type SiC f / TC17 composite components are updated in real time, the prediction result is evaluated, and the digital twin model is optimized;

[0015] S8, based on the optimized digital twin model, the heat aging parameters, vibration aging parameters and bulging parameters are predicted and optimized by the improved butterfly optimization algorithm, the optimization parameters include heating speed, heating temperature, cooling method, excitation frequency, excitation time, vibration mode, bulging rate and bulging force.

[0016] Further, the model established in S3 based on digital twin can simulate various model conditions in virtual space under different states and conditions, which can improve the authenticity of the model.

[0017] Further, in S5, according to the knowledge set, the residual stress value and thermal bulging coefficient of the hollow shaft SiC f / TC17 composite component are intelligently optimized. The objective system cannot be completely observed by simulation, and the authenticity of the system needs to be improved by establishing a knowledge set to update the data of the digital twin system in real time. Through the improvement of fault diagnosis, accident simulation, production index, operation process and other contents, the risk resistance of the system is improved, and the accuracy of prediction and inspection is optimized.

[0018] Further, in S8, the butterfly optimization algorithm is inspired by the foraging and mating behavior of butterflies. Butterflies receive / perceive and analyze the smell in the air to determine the potential direction of food source / mating partner. The BOA algorithm has fewer parameters, simple principle and easy implementation, but it is prone to local optimization and has slow convergence speed in later iterations.

[0019] Further, in S8, the particle swarm optimization algorithm can update the global search and local search of the butterfly optimization algorithm, so that the iteration descent speed of the butterfly optimization algorithm is better than the original butterfly algorithm, the convergence performance is better than BOA, and the search performance is better.

[0020] Further, the application steps of the algorithm in S8 are: S8.1, randomly generate an initial butterfly population, S8.2, calculate the fitness value of all butterflies, S8.3, select the optimal position, select the nectar source by comparing S8.2, S8.4, judge the butterfly search stage and update the butterfly position, S8.5, optimize the butterfly search weight by particle swarm, update the butterfly search method, update the optimal value, S8.6, update the position and speed of the particle, calculate the fitness value, output the butterfly position, S8.7, repeat the above steps, judge whether the optimal butterfly position is reached, S8.8, update the best butterfly position.

[0021] According to another aspect of the present application, a hollow shaft type component thermal vibration and expansion coordinated stress optimization system is provided, comprising a heating pipe, a thermal aging control system, a power supply, a heating furnace, a workbench, two excitation heads, two valves, an expansion and frequency control system, a pressing block and a clamp base, the clamp base is provided with two clamps on the top, the two clamps are respectively provided with a workpiece clamped on the top, the two valves are respectively provided with a connecting ring on one side, and the two valves are respectively connected with one excitation head through the connecting ring, the hydraulic expansion system drives the hydraulic transmission to the pressing block through the expansion and frequency control system to realize the thermal expansion process, and the excitation head is arranged on one side of each valve to excite the component during the expansion; the expansion speed and the holding time of the thermal expansion are controlled by the expansion control system in the expansion and frequency control system during the whole thermal expansion process; the excitation time and the excitation frequency are ensured by the frequency control system in the expansion and frequency control system; and the expansion temperature is controlled by the thermal aging control system.

[0022] (III) Beneficial effects

[0023] The present application provides a hollow shaft type component thermal vibration and expansion coordinated stress optimization method and system, which has the following beneficial effects:

[0024] Through the digital twin technology, the thermal aging technology, the vibration aging technology and the thermal expansion processing can be combined to regulate the residual stress. That is, the processing of them is established in the virtual space through the digital model to simulate the actual processing flow, and various situations that may occur during the processing can be predicted, and a database during the processing is established, for example, the processing temperature, the excitation frequency and the expansion coefficient are recorded, and the unprocessed components can be predicted through the digital twin model based on the saved data, so that the quality and processing efficiency of the processed components are improved.

[0025] By combining the expansion technology and the thermal vibration aging technology, the integration and uniformity of the residual stress regulation of the component are realized, the processing quality and precision of the component are improved, the residual stress of the component can be predicted through the digital twin model, the process parameters of the component processing process are optimized based on the digital twin model through the intelligent algorithm, and the problem that the residual stress of the high-strength composite material is difficult to regulate in the prior art is solved, which has great economic value.

[0026] The knowledge set is used to intelligently optimize the residual stress value and the thermal expansion coefficient of the hollow shaft type SiC f / TC17 composite component, the objective system cannot be completely observed through simulation, and the real degree of the system needs to be improved through the establishment of the knowledge set to update the data of the digital twin system in real time; the risk resistance of the system is improved, and the accuracy of the prediction and inspection is optimized by improving the fault diagnosis, accident simulation, production index and operation process.

[0027] The butterfly optimization algorithm is inspired by the foraging and mating behavior of butterflies, which receive / perceive and analyze the smell in the air to determine the potential direction of food source / mating partner. The BOA algorithm has few parameters, simple principle, and is easy to implement, but it is prone to local optimization, slow convergence speed in late iteration, and the global search and local search mode of the butterfly optimization algorithm can be updated by the particle swarm algorithm, so that the iteration descent speed of the butterfly optimization algorithm is better than the original butterfly algorithm, the convergence performance is better than the BOA, and the search performance is better. BRIEF DESCRIPTION OF DRAWINGS

[0028] Figure 1 Process flow chart of the optimization method and system for coordinated control of stress of hollow shaft type member thermal vibration and bulging;

[0029] Figure 2 Process flow chart of the algorithm in the optimization method and system for coordinated control of stress of hollow shaft type member thermal vibration and bulging;

[0030] Figure 3 Structural schematic diagram of the hydraulic bulging excitation system in the optimization method and system for coordinated control of stress of hollow shaft type member thermal vibration and bulging.

[0031] In the figure: 1, heating pipe; 2, thermal aging control system; 3, power supply; 4, heating furnace; 5, workbench; 6, clamp; 7, workpiece; 8, excitation head; 9, valve; 10, bulging and frequency control system; 11, pressing block; 12, connecting ring; 13, clamp base. DETAILED DESCRIPTION

[0032] The technical solutions in the embodiments of the present application will be described clearly and completely below. Obviously, the described embodiments are only part of the embodiments of the present application, not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0033] The present application provides a technical solution: an optimization method for coordinated control of stress of hollow shaft type member thermal vibration and bulging, comprising the following steps:

[0034] S1, collecting hollow shaft type SiC f / TC17 composite components after forming, the material composition, sample shape and size, surface state and stress measurement direction of the component, the simulation model of the initial state of the component is established, and the above data is input into the simulation model.

[0035] S2. Based on the initial simulation model, a digital twin model with initial residual stress is established; the digital twin model data is collected from actual operation, production and experiments; the model data includes: initial residual stress, laboratory temperature, thermal aging system, vibration aging system and bulging system model data.

[0036] S3. Based on the digital twin model, the components are thermally aged. The process simulation mainly considers the thermal and mechanical properties of the material. The properties include the mechanical properties of the material itself, vibration frequency, aging temperature, insulation temperature, cooling method and clamping method. The model established based on the digital twin can simulate various model situations in different states and conditions in the virtual space, which can improve the realism of the model.

[0037] S4, in hollow shaft SiC f During the thermal aging process of the TC17 composite component, hydraulic bulging and vibration aging were carried out simultaneously. The completed workpiece was obtained, and the various parameters of the processing process and the residual stress values ​​were recorded. The processing parameters included heating rate, heating temperature, cooling method, excitation frequency, excitation time, amplitude, bulging rate and bulging force.

[0038] S5. Adjust the errors that occur during the operation of the digital twin model based on data analysis methods, and f / TC17 composite components are actually processed and tested to match the residual stress value and bulging coefficient, correct the error, and perform hollow shaft SiC f / TC17 Intelligent optimization of the residual stress value and thermal expansion coefficient of the composite component. The objective system cannot be fully observed through simulation alone. It is also necessary to improve the authenticity of the system by establishing a knowledge set and update the various data of the digital twin system in real time. By improving fault diagnosis, accident simulation, production indicators, operating procedures and other contents, the system's risk resistance can be improved and the accuracy of prediction and inspection can be optimized.

[0039] S6. Compare the digital twin model with the actual hollow shaft SiC f / TC17 composite components, hollow shaft SiC under different conditions f / TC17 composite components thermal vibration and bulging coordinated control residual stress is predicted and the prediction results are obtained.

[0040] S7, hollow shaft SiC according to knowledge base technology f / TC17 composite components’ residual stress values ​​and thermal expansion coefficients are updated in real time to evaluate prediction results and optimize the digital twin model.

[0041] S8, based on the optimized digital twin model, the heat aging parameters, the vibration aging parameters and the bulging parameters are predicted and optimized by the improved butterfly optimization algorithm, the optimization parameters include heating speed, heating temperature, cooling method, excitation frequency, excitation time, vibration mode, bulging rate and bulging force, the particle swarm optimization algorithm can update the global search and local search of the butterfly optimization algorithm, so that the iteration descending speed of the butterfly optimization algorithm is better than that of the original butterfly algorithm, the convergence performance is better than that of BOA, and the search performance is better, the application steps of the algorithm are: S8.1, randomly generating an initial butterfly population, S8.2, calculating the fitness values of all butterflies, S8.3, selecting the optimal position, selecting the nectar source by comparing S8.2, S8.4, judging the butterfly search stage and updating the butterfly position, S8.5, optimizing the butterfly search weight by the particle swarm, updating the butterfly search method, updating the optimal value, S8.6, updating the position and speed of the particle, calculating the fitness value, outputting the butterfly position, S8.7, repeating the above steps, judging whether the optimal butterfly position is reached, S8.8, updating the best butterfly position.

[0042] The method also sets a hollow shaft type component thermal vibration and bulging coordinated stress optimization system, the system contains a heating pipe 1, a heat aging control system 2, a power supply 3, a heating furnace 4, a workbench 5, two excitation heads 8, two valves 9, a bulging and frequency control system 10, a pressing block 11 and a clamp base 13, the clamp base 13 is fixedly provided with two clamps 6 on the top, the two clamps 6 are fixedly clamped with a workpiece 7 on the top, the two valves 9 are provided with a connecting ring 12 on one side, and the two valves 9 are fixedly connected with an excitation head 8 through the connecting ring 12, the hydraulic bulging system drives hydraulic transmission to the pressing block 11 through the bulging and frequency control system 10 to realize the thermal bulging process, and the excitation head 8 is arranged on one side of each valve 9, so that the component is excited while bulging; the bulging speed, the holding time, the excitation time and the excitation frequency of the thermal bulging process are controlled by the bulging control system in the bulging and frequency control system 10; the bulging temperature is controlled by the heat aging control system 2.

[0043] It should be noted that, in the present document, relational terms such as first and second and the like can be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises", "comprising", or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but can include other elements not expressly listed or inherent to such process, method, article, or apparatus.

[0044] While embodiments of the application have been shown and described, it is to be understood that the embodiments described are merely exemplary of the principles and application of the present application. Numerous modifications and adaptions can be effected without departing from the spirit and scope of the present application, which is not limited to the exact construction and arrangement described. It is intended, therefore, to cover all modifications and adaptions that fall within the scope of the claims and their equivalents.

Claims

1. A method for optimizing the stress of a hollow shaft type member in thermal vibration and bulging coordination control, characterized by, It comprises the following steps: S1, collecting hollow shaft SiC f / TC17 composite components in the formation of the material composition of the components, sample shape size, surface state and stress measurement direction, the establishment of the simulation model of the initial state of the components, the above data into the simulation model; S2, according to the initial simulation model, a digital twin model with initial residual stress is established; the digital twin model data is collected from actual operation, production and experiment; the model data includes: initial residual stress, laboratory temperature, thermal aging system, vibration aging system and bulging system model data; S3, based on the digital twin model, the thermal aging of the component is carried out, and the process simulation mainly considers the thermal and mechanical properties of the material; the properties include the mechanical properties of the material itself, vibration frequency, aging temperature, holding temperature, cooling mode and clamping mode; S4, in hollow shaft SiC f Hydroforming and vibration aging are carried out simultaneously in the process of thermal aging of TC17 composite components; the finished workpiece is obtained, and various parameters and residual stress values of the processing flow are recorded; the processing parameters include heating speed, heating temperature, cooling mode, excitation frequency, excitation time, amplitude, bulging rate and bulging force; S5、Based on the data analysis method to adjust the error in the process of digital twin model running, with hollow shaft SiC f / TC17 composite components after actual processing to detect the residual stress value and bulging coefficient matching, error correction; S6, associate the digital twin model with the actual hollow shaft SiC f / TC17 composite components, and predict the residual stress of the hollow shaft SiC f / TC17 composite components under different conditions, and predict the thermal vibration and bulging coordination control residual stress of the hollow shaft SiC S7, Hollow shaft type SiC composite components based on knowledge base technology f Real-time data updating of residual stress value and thermal expansion coefficient of TC17 composite components, evaluation and prediction of results, optimization of digital twin model; S8, based on the optimized digital twin model, the thermal aging parameters, vibration aging parameters and bulging parameters are predicted and optimized by the improved butterfly optimization algorithm, and the optimized parameters include heating speed, heating temperature, cooling mode, excitation frequency, excitation time, vibration mode, bulging rate and bulging force; The application steps of the algorithm in S8 are: S8.1, randomly generate initial butterfly population, S8.2, calculate the fitness value of all butterflies, S8.3, select the optimal position, select the nectar source by comparing S8.2, S8.4, judge the butterfly search stage and update the butterfly position, S8.5, optimize the butterfly search weight by particle swarm, update the butterfly search method, update the optimal value, S8.6, update the position and speed of the particle, calculate the fitness value, output the butterfly position, S8.7, repeat the above steps, judge whether the optimal butterfly position is reached, S8.8, update the best position of the butterfly.

2. The method of claim 1, wherein: The model established based on the digital twin in S3 can simulate various model conditions in different states and conditions in virtual space, which can improve the authenticity of the model.

3. The method of claim 1, wherein: the hollow shaft member is a hollow shaft of a wind turbine. 5 The S5 in the hollow shaft according to the knowledge set SiC f Intelligent optimization of residual stress value and thermal expansion coefficient of TC17 composite components, objective system cannot be completely observed through simulation, knowledge set needs to be established to improve the authenticity of the system, and real-time update the data of digital twin system; through the improvement of fault diagnosis, accident simulation, production index, operation process and other contents, the risk resistance of the system is improved, and the accuracy of prediction and inspection is optimized.

4. The optimization method for controlling stress of hollow shaft components by thermal vibration and expansion according to claim 1 is characterized in that: The butterfly optimization algorithm in S8 is inspired by the foraging and mating behavior of butterflies, which receive / perceive and analyze the smell in the air to determine the potential direction of food source / mating partner, the BOA algorithm has fewer parameters, simple principle and easy implementation, but it will fall into local optimum, and the iteration convergence speed is slow in the later period.

5. The method of claim 4, wherein: the hollow shaft member is a hollow shaft of a wind turbine. 5 The particle swarm algorithm in S8 can update the global search and local search of the butterfly optimization algorithm, so that the iteration descent speed of the butterfly optimization algorithm is better than that of the original butterfly algorithm, the convergence performance is better than that of BOA, and the search performance is better.

6. A system for optimizing stress in a coordinated thermal buckling and bulging of a hollow shaft type member, comprising the method for optimizing stress in a coordinated thermal buckling and bulging of a hollow shaft type member according to any one of claims 1 to 5, characterized in that: It include heating pipe (1), hot aging control system (2), power supply (3), heating furnace (4), workbench (5), two exciting heads (8), two valves (9), bulging and frequency control system (10), pressure block (11) and fixture base (13), the fixture base (13) top fixedly provided with two clamps (6), two clamps (6) top are fixedly clamped with workpiece (7), two valves (9) one side is provided with connecting ring (12), two valves (9) are fixedly connected with an exciting head (8) through connecting ring (12) respectively, the hydraulic bulging system is driven to the pressure block (11) by bulging and frequency control system (10) to realize the hot bulging process, the exciting head (8) is arranged on one side of each valve (9), so that the component is excited while bulging;The bulging speed, holding time of hot bulging in the whole hot bulging process are controlled by the bulging control system in the bulging and frequency control system (10);The exciting time and exciting frequency are guaranteed by the frequency control system in the bulging and frequency control system (10);The bulging temperature is controlled by the hot aging control system (2).

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