CN116646037A - Analysis method, device, equipment and medium for curing deformation of composite material - Google Patents
Analysis method, device, equipment and medium for curing deformation of composite material Download PDFInfo
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Abstract
The invention relates to the technical field of composite materials, in particular to a method, a device, equipment and a medium for analyzing curing deformation of a composite material. Wherein the method comprises the following steps: acquiring an input parameter set of a composite material to be analyzed; inputting the input parameter set into a file generation program based on a Monte Carlo method to obtain a plurality of submitted files; and inputting the submitted file into Abaqus software for solving so as to carry out curing deformation analysis on the composite material to be analyzed. The technical scheme provided by the invention can improve the analysis efficiency of the curing deformation of the composite material.
Description
Technical Field
The invention relates to the technical field of composite materials, in particular to a method, a device, equipment and a medium for analyzing curing deformation of a composite material.
Background
The forming and curing of the composite material is a very key link in the production and manufacture of the composite material. The composite material can be subjected to the coupling action of heat, chemistry and force in the molding process, and is subjected to complex physical state evolution, so that nonuniform internal stress is extremely easy to generate, and the internal stress is released after the component is molded, so that the curing deformation is caused. The curing deformation can affect the appearance and dimensional accuracy of the composite material, reduce the structural strength and fatigue life of the composite material, and even directly lead to scrapping of the composite material member. Therefore, reasonable analysis and control of the curing deformation of the composite material member are key to ensuring high-performance accurate molding of the composite material member.
In the related art, it is generally required to obtain an actual molded part of the composite material after a plurality of actual molding experiments, so as to analyze the curing deformation of the composite material. However, this method is inefficient and it is difficult to quickly analyze the cure deformation of the composite.
Therefore, there is a need to provide a method, a device, an apparatus and a medium for analyzing curing deformation of a composite material to solve the above-mentioned problems.
Disclosure of Invention
The embodiment of the invention provides a method and a device for analyzing curing deformation of a composite material, electronic equipment and a storage medium, which can improve the analysis efficiency of curing deformation of the composite material.
In a first aspect, an embodiment of the present invention provides a method for analyzing curing deformation of a composite material, including:
acquiring an input parameter set of a composite material to be analyzed;
inputting the input parameter set into a file generation program based on a Monte Carlo method to obtain a plurality of submitted files;
and inputting the submitted file into Abaqus software for solving so as to carry out curing deformation analysis on the composite material to be analyzed.
In a second aspect, an embodiment of the present invention further provides an analysis apparatus for curing deformation of a composite material, including:
the acquisition unit is used for acquiring an input parameter set of the composite material to be analyzed;
the input unit is used for inputting the input parameter set into a file generation program based on a Monte Carlo method to obtain a plurality of submitted files;
and the analysis unit is used for inputting the submitted file into Abaqus software for solving so as to carry out solidification deformation analysis on the composite material to be analyzed.
In a third aspect, an embodiment of the present invention further provides an electronic device, including a memory and a processor, where the memory stores a computer program, and when the processor executes the computer program, the method described in any embodiment of the present specification is implemented.
In a fourth aspect, embodiments of the present invention also provide a computer-readable storage medium having stored thereon a computer program which, when executed in a computer, causes the computer to perform a method according to any of the embodiments of the present specification.
The embodiment of the invention provides a method, a device, electronic equipment and a storage medium for analyzing curing deformation of a composite material, wherein the method, the device, the electronic equipment and the storage medium are used for analyzing the curing deformation of the composite material by combining a Monte Carlo method with Abaqus software in a numerical simulation mode, and an actual formed part of the composite material is obtained without carrying out multiple curing experiments, so that the analysis efficiency of the curing deformation of the composite material is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the related art, the drawings that are required to be used in the embodiments or the related technical descriptions will be briefly described, and it is apparent that the drawings in the following descriptions are some embodiments of the present invention, and other drawings may be obtained according to the drawings without inventive effort for those skilled in the art.
FIG. 1 is a flow chart of a method for analyzing curing deformation of a composite material according to an embodiment of the present invention;
FIG. 2 is a hardware architecture diagram of an electronic device according to an embodiment of the present invention;
fig. 3 is a structural diagram of an analysis device for curing deformation of a composite material according to an embodiment of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments, and all other embodiments obtained by those skilled in the art without making any inventive effort based on the embodiments of the present invention are within the scope of protection of the present invention.
Referring to fig. 1, an embodiment of the present invention provides a method for analyzing curing deformation of a composite material, the method comprising:
step 100, acquiring an input parameter set of a composite material to be analyzed;
102, inputting an input parameter set into a file generation program based on a Monte Carlo method to obtain a plurality of submitted files;
and 104, inputting the submitted file into Abaqus software to solve so as to analyze the curing deformation of the composite material to be analyzed.
In the embodiment, the Monte Carlo method and the Abaqus software are combined, analysis of the curing deformation of the composite material is realized by utilizing a numerical simulation mode, and an actual forming part of the composite material is obtained without carrying out multiple curing experiments, so that the analysis efficiency of the curing deformation of the composite material is improved.
The manner in which the individual steps shown in fig. 1 are performed is described below.
For step 100:
in one embodiment of the invention, the set of input parameters includes probability distributions for a plurality of material characteristic parameters.
In the embodiment, the inventor considers that in the actual curing process of the composite material, the uncertainty of the characteristic parameters of the material has an important influence on the curing residual stress and the mechanical property in the curing forming process of the composite material, so that the accuracy of the curing deformation analysis of the composite material is influenced to a certain extent; and the inventor considers that in practical engineering, the curing deformation of the composite material is generally randomly distributed within a certain range, however, the related curing deformation analysis of the composite material is generally to analyze the average performance of each obtained material to obtain a fixed curing deformation amount of the composite material, so that accurate analysis of the curing deformation of the composite material is difficult to realize.
In order to solve the technical problems, the inventor fully considers uncertainty of a plurality of material characteristic parameters in the curing process of the composite material, takes distribution probability of the plurality of material characteristic parameters as an input parameter set, wherein the probability distribution of the plurality of material characteristic parameters specifically refers to the proportion of numerical values corresponding to the plurality of material characteristic parameters, and the Monte Carlo method can randomly generate a plurality of submitted files according to the distribution probability of the plurality of material characteristic parameters to serve as conditions for simulating curing deformation of the composite material, so that probability distribution of curing deformation of the composite material is obtained, and analysis of curing deformation of the composite material is realized. Compared with the related art, the method has the advantages that more factors are considered in the curing deformation analysis process, and the influence of a plurality of material characteristic parameters on the curing molding of the composite material in the curing process is considered, so that the accuracy of the curing deformation analysis of the composite material can be improved.
In one embodiment of the invention, the material characteristic parameters include: fiber modulus of elasticity, fiber coefficient of thermal expansion, resin modulus of elasticity, resin coefficient of thermal expansion, resin cure shrinkage, resin content, and ply angle. Of course, other material characteristic parameters may be included, which are not particularly limited in this embodiment of the present invention.
For step 102:
in one embodiment of the invention, each submission file includes all of the material characteristic parameters and the values of the respective material characteristic parameters.
In this embodiment, the file may include all the material characteristic parameters and the specific values corresponding to the material characteristic parameters, for exampleCommit file A may be (1 GPa, 11.59X10) -6 /℃，2GPa，56.8×10 -6 At 3%,35%,45 °), wherein the fiber elastic modulus is 1GPa, and the fiber coefficient of thermal expansion is 11.59 ×10 -6 The elastic modulus of the resin is 1GPa, and the thermal expansion coefficient of the resin is 56.8x10 -6 The resin curing shrinkage was 3%, the resin content was 35% and the ply angle was 45 °.
For step 104:
in one embodiment of the present invention, the Abaqus software is specifically solved by using preset constraints, where the constraints include: temperature boundary conditions, cure kinetics equations, mechanical boundary conditions, thermal strain, and cure shrinkage.
In this embodiment, a plurality of submitted files generated by monte carlo are input into the Abaqus software, so that materials corresponding to each submitted file are cured under a preset constraint condition, so that the curing process of the composite material can be better simulated, and further the distribution interval and the distribution probability of the curing deformation of the composite material can be obtained, and the curing deformation of the composite material can be better analyzed.
It should be noted that, in the embodiment of the present invention, each constraint condition in the curing process is not specifically limited, and those skilled in the art may select and adjust each constraint condition according to the requirement of the actual curing analysis simulation.
In one embodiment of the present invention, step 104 may specifically include:
inputting the submitted files into Abaqus software for solving to obtain curing deformation corresponding to each submitted file;
and based on the obtained curing deformation, performing curing deformation analysis on the composite material to be analyzed.
In some embodiments, the step of "performing cure deformation analysis on the composite material to be analyzed based on the obtained cure deformation" may specifically include:
and carrying out mathematical statistics on the obtained curing deformation to obtain probability distribution of the curing deformation of the composite material to be analyzed so as to complete curing deformation analysis of the composite material to be analyzed.
In the embodiment, the Abaqus software and the Monte Carlo method are combined, the uncertainty of characteristic parameters of each material in the composite material is fully considered, the distribution interval and the distribution probability of the curing deformation of the composite material are obtained through simulation, the fluctuation mechanism of the deformation actually measured by the composite material forming part in the actual production process can be explained, the parameters with larger influence on the curing deformation of the composite material forming part are determined, and the key variables are controlled in the actual production process, so that the curing deformation of the composite material in the curing process is reduced, and the qualification rate and the reliability of composite material products are improved.
In addition, other technical schemes can be added on the basis of the technical scheme to solve the problem of optimizing the curing system of the composite material. See below for details:
the composite material is subjected to the coupling action of heat, chemistry and force in the curing and forming process, and undergoes complex physical state evolution, so that nonuniform internal stress is extremely easy to generate, and the internal stress is released after the component is formed, so that curing deformation is caused. Therefore, the curing system of the composite material needs to be optimized to ensure the molding quality of the composite material.
In the related art, in order to optimize the curing system of the composite material, a plurality of curing system parameters are generally required to be designed, then a plurality of curing experiments are carried out under corresponding conditions to obtain an actual molded part of the composite material, and finally, a plurality of performances of the actual molded part are tested according to the actual molded part, so that the curing system of the composite material is optimized according to the testing performance parameters of the composite material.
However, the method needs to perform multiple actual molding experiments and testing experiments according to the curing system parameters and the performances of the composite material, so that a great deal of time and energy are often required, the efficiency is low, and the quantitative influence rule of the curing system parameters and other factors on the curing deformation is difficult to accurately grasp through the experiments, so that the accurate optimization of the curing system of the composite material is difficult to realize.
In one embodiment of the present invention, the method for optimizing the curing system is described below:
based on step 100, the method may further include: obtaining a plurality of curing systems of the composite material to be analyzed;
after step 100, the method may further include:
coding each curing system to obtain an initial population; wherein each encoded cure regimen is taken as a chromosome in the initial population.
In this embodiment, the curing system is a curing process parameter commonly used in the related art, for example, the curing temperature, curing time, vacuum degree, vacuum duration, etc., where the specific parameter of the curing system is not specifically limited, and a person skilled in the art may select a specific parameter of the curing system to be actually optimized according to the requirement, and encode (e.g. binary encode) the specific parameter to obtain a plurality of chromosomes, so as to randomly generate a preset number of initial populations.
After step 102, the method may further include:
for each submitted file, splicing each chromosome in the contemporary population with the current submitted file respectively to obtain a plurality of target submitted files corresponding to the current submitted file; wherein the number of target commit files corresponding to the current commit file is equal to the number of chromosomes in the current generation population.
In one embodiment of the invention, each target submission file includes all of the material characteristic parameters, the values of the material characteristic parameters, all of the parameters of the cure schedule, and the values of the parameters of the cure schedule.
In this embodiment, a plurality of target commit files are obtained by splicing a plurality of commit files randomly generated by the monte carlo method with each chromosome in the current population, and meanwhile, the number of target commit files corresponding to the initial commit file in this embodiment should be the same as the number of chromosomes in the current population.
For example, assuming that the initial population contains 5 chromosomes and the initial submitted file contains 6 files, when the initial population is spliced, the 5 chromosomes in the current generation population are respectively spliced with the 6 files in the initial submitted file, and finally 30 spliced target submitted files are obtained, so that the mutual combination of a plurality of curing systems and material characteristic parameters can be realized, the situation of repeated combination is avoided, and the influence of each material characteristic parameter on the curing deformation of the composite material in the curing process under different curing systems can be better simulated.
Based on step 104, the method may further include:
inputting all the obtained target submitted files into Abaqus software for solving to obtain probability distribution of curing deformation of the composite material to be analyzed;
and optimizing the curing system of the composite material to be analyzed by utilizing a genetic algorithm based on the probability distribution of the curing deformation of the composite material to be analyzed.
In the embodiment, a plurality of solidification systems and input parameter sets are firstly obtained, then each solidification system is encoded to obtain an initial population, and the input parameter sets are used for generating a plurality of initial submitted files by using a Monte Carlo method; then splicing each chromosome in the initial population with the current initial submitted file to obtain a plurality of target submitted files; inputting the target extraction file into Abaqus software for solving to obtain probability distribution of curing deformation of the composite material to be analyzed; and finally, optimizing the curing system of the composite material to be analyzed by utilizing a genetic algorithm based on the probability distribution of the curing deformation. According to the technical scheme, chromosomes obtained through encoding by a plurality of curing systems are spliced with initial submitting files produced by Monte Carlo to serve as target submitting files, and Abaqus software and a genetic algorithm are utilized to complete optimization of the curing system of the composite material to be analyzed, so that effective control of final molding quality of a composite material component can be well achieved, multiple curing experiments are not needed to be conducted to obtain an actual molding part of the composite material, repeated iterative processes of experiments, tests, modification and re-experiments are avoided, and efficiency of optimizing the curing system of the composite material is greatly improved.
In one embodiment of the present invention, the step of optimizing the curing system of the composite material to be analyzed using a genetic algorithm based on the probability distribution of the curing deformation of the composite material to be analyzed may include:
based on probability distribution of curing deformation of the composite material to be analyzed, evaluating the reliability of the current population;
if the reliability evaluation result satisfies the preset condition, executing: calculating the fitness value of each chromosome in the current generation population; decoding the chromosome with the highest fitness value to obtain an optimal curing system;
if the reliability evaluation result does not meet the preset condition, executing: calculating the fitness value of each chromosome in the current generation population; based on the fitness value, selecting and copying, crossing and mutating chromosomes of the current population to obtain a next generation population; and (3) a step of jumping and executing, namely splicing each chromosome in the current generation population with the current submitted file respectively for each submitted file to obtain a plurality of target submitted files corresponding to the current submitted file until a reliability evaluation result meets a preset condition or inheritance of a preset reproduction algebra is completed, and decoding the chromosome with the highest fitness value in the last generation population to obtain an optimal curing system.
It should be noted that, the fitness value may be calculated by using an appropriate fitness function, which is a person skilled in the art may select according to actual needs, and the fitness function specifically used is not limited herein.
In one embodiment of the present invention, the step of "evaluating the reliability of the current population based on the probability distribution of the curing deformation of the composite material to be analyzed" may include:
judging whether the percentage of the curing deformation exceeding the preset size is lower than a preset threshold value or not based on the probability distribution of the curing deformation of the composite material to be analyzed;
if the percentage of the curing deformation exceeding the preset size is lower than a preset threshold value, the reliability evaluation result of the contemporary population meets the preset condition; otherwise, the reliability evaluation result of the current generation population does not meet the preset condition.
In the embodiment, the reliability of the curing deformation of the composite material and the fitness value of the chromosomes in the population are used as constraint conditions of a genetic algorithm together to carry out iterative optimization, so that the accuracy of the curing system optimization of the composite material is improved.
In some embodiments, the preset threshold may be any value from 1% to 2%, which is not specifically limited herein.
In summary, the embodiment of the invention overcomes the defects that in the related technology, in the process of optimizing the curing system of the composite material, the average performance or the reference value of the obtained characteristic parameters of the material is usually analyzed, so that the randomness of the actual curing deformation of a large composite material member is difficult to accurately reflect, and the qualification and the reliability of the composite material are difficult to improve. The uncertainty influence of a plurality of material characteristic parameters in the curing process of the composite material is fully considered, the distribution probability of the material characteristic parameters and chromosomes coded by a curing system are spliced to be used as target submitted files, and finally, a probability distribution map of the curing deformation of the composite material is obtained, so that the randomness of the time curing deformation of a composite material part can be better reflected.
In addition, compared with the related art, the method has the advantages that more factors are considered in the process of optimizing the curing system of the composite material, so that the curing deformation analysis of the composite material in the curing process can be realized more accurately, and the accuracy of optimizing the curing system of the composite material can be improved.
As shown in fig. 2 and 3, an embodiment of the present invention provides an analysis device for curing deformation of a composite material. The apparatus embodiments may be implemented by software, or may be implemented by hardware or a combination of hardware and software. In terms of hardware, as shown in fig. 2, a hardware architecture diagram of an electronic device where an analysis device for curing deformation of a composite material provided in an embodiment of the present invention is located, where the electronic device where the embodiment is located may include other hardware, such as a forwarding chip responsible for processing a message, in addition to a processor, a memory, a network interface, and a nonvolatile memory shown in fig. 2. Taking a software implementation as an example, as shown in fig. 3, the device in a logic sense is formed by reading a corresponding computer program in a nonvolatile memory into a memory by a CPU of an electronic device where the device is located and running the computer program. The analysis device for curing deformation of a composite material provided in this embodiment includes:
an obtaining unit 300, configured to obtain an input parameter set of a composite material to be analyzed;
an input unit 302, configured to input the input parameter set into a file generation program based on a monte carlo method, to obtain a plurality of submitted files;
and the analysis unit 304 is used for inputting the submitted file into Abaqus software for solving so as to perform curing deformation analysis on the composite material to be analyzed.
In an embodiment of the present invention, the obtaining unit 300 may be used to perform the step 100 in the above method embodiment, the input unit 302 may be used to perform the step 102 in the above method embodiment, and the analyzing unit 304 may be used to perform the step 104 in the above method embodiment.
In one embodiment of the invention, the set of input parameters comprises a probability distribution of a plurality of material characteristic parameters.
In one embodiment of the invention, the material characteristic parameters include: fiber modulus of elasticity, fiber coefficient of thermal expansion, resin modulus of elasticity, resin coefficient of thermal expansion, resin cure shrinkage, resin content, and ply angle.
In one embodiment of the invention, each of the submitted files includes all of the material characteristic parameters and values for each of the material characteristic parameters.
In one embodiment of the present invention, the Abaqus software is specifically solved by using preset constraints, where the constraints include: temperature field, cure kinetics equation, mechanical boundary conditions, chemical shrinkage conditions, and cure shrinkage conditions.
In one embodiment of the present invention, the analysis unit 304 is configured to perform the following operations:
inputting the submitted files into Abaqus software for solving to obtain curing deformation corresponding to each submitted file;
and carrying out curing deformation analysis on the composite material to be analyzed based on the obtained curing deformation.
In some embodiments, the analysis unit 304 is configured to, when performing the cure deformation analysis on the composite material to be analyzed based on the obtained cure deformation, perform the following operations:
and carrying out mathematical statistics on the obtained curing deformation to obtain probability distribution of the curing deformation of the composite material to be analyzed so as to finish curing deformation analysis on the composite material to be analyzed.
It will be appreciated that the structure illustrated in the examples of the present invention is not intended to be limiting in any particular way with respect to an analysis device for curing deformation of a composite material. In other embodiments of the invention, an analysis device for curing deformation of a composite material may include more or fewer components than shown, or certain components may be combined, certain components may be split, or a different arrangement of components may be provided. The illustrated components may be implemented in hardware, software, or a combination of software and hardware.
The content of information interaction and execution process between the modules in the device is based on the same conception as the embodiment of the method of the present invention, and specific content can be referred to the description in the embodiment of the method of the present invention, which is not repeated here.
The embodiment of the invention also provides electronic equipment, which comprises a memory and a processor, wherein the memory stores a computer program, and the processor realizes the analysis method of the curing deformation of the composite material in any embodiment of the invention when executing the computer program.
The embodiment of the invention also provides a computer readable storage medium, wherein the computer readable storage medium is stored with a computer program, and the computer program when being executed by a processor, causes the processor to execute the analysis method of the curing deformation of the composite material in any embodiment of the invention.
Specifically, a system or apparatus provided with a storage medium on which a software program code realizing the functions of any of the above embodiments is stored, and a computer (or CPU or MPU) of the system or apparatus may be caused to read out and execute the program code stored in the storage medium.
In this case, the program code itself read from the storage medium may realize the functions of any of the above-described embodiments, and thus the program code and the storage medium storing the program code form part of the present invention.
Examples of the storage medium for providing the program code include a floppy disk, a hard disk, a magneto-optical disk, an optical disk (e.g., CD-ROM, CD-R, CD-RW, DVD-ROM, DVD-RAM, DVD-RW, DVD+RW), a magnetic tape, a nonvolatile memory card, and a ROM. Alternatively, the program code may be downloaded from a server computer by a communication network.
Further, it should be apparent that the functions of any of the above-described embodiments may be implemented not only by executing the program code read out by the computer, but also by causing an operating system or the like operating on the computer to perform part or all of the actual operations based on the instructions of the program code.
Further, it is understood that the program code read out by the storage medium is written into a memory provided in an expansion board inserted into a computer or into a memory provided in an expansion module connected to the computer, and then a CPU or the like mounted on the expansion board or the expansion module is caused to perform part and all of actual operations based on instructions of the program code, thereby realizing the functions of any of the above embodiments.
It is noted that relational terms such as first and second, and the like, are 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 may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one …" does not exclude the presence of additional identical elements in a process, method, article or apparatus that comprises the element.
Those of ordinary skill in the art will appreciate that: all or part of the steps for implementing the above method embodiments may be implemented by hardware related to program instructions, and the foregoing program may be stored in a computer readable storage medium, where the program, when executed, performs steps including the above method embodiments; and the aforementioned storage medium includes: various media in which program code may be stored, such as ROM, RAM, magnetic or optical disks.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. A method for analyzing cure deformation of a composite material, comprising:
acquiring an input parameter set of a composite material to be analyzed;
inputting the input parameter set into a file generation program based on a Monte Carlo method to obtain a plurality of submitted files;
and inputting the submitted file into Abaqus software for solving so as to carry out curing deformation analysis on the composite material to be analyzed.
2. The method of claim 1, wherein the set of input parameters comprises a probability distribution of a plurality of material characteristic parameters.
3. The method of claim 2, wherein the material characteristic parameters comprise: fiber modulus of elasticity, fiber coefficient of thermal expansion, resin modulus of elasticity, resin coefficient of thermal expansion, resin cure shrinkage, resin content, and ply angle.
4. A method according to claim 3, wherein each of the submission files includes all of the material characteristic parameters and the values of each of the material characteristic parameters.
5. The method according to claim 1, wherein the Abaqus software is solved in particular by employing preset constraints comprising: temperature boundary conditions, cure kinetics equations, mechanical boundary conditions, thermal strain, and cure shrinkage.
6. The method of any one of claims 1-5, wherein inputting the commit file into Abaqus software for solution to cure deformation analysis of the composite material to be analyzed, comprises:
inputting the submitted files into Abaqus software for solving to obtain curing deformation corresponding to each submitted file;
and carrying out curing deformation analysis on the composite material to be analyzed based on the obtained curing deformation.
7. The method according to claim 6, wherein the performing cure deformation analysis of the composite material to be analyzed based on the obtained cure deformation comprises:
and carrying out mathematical statistics on the obtained curing deformation to obtain probability distribution of the curing deformation of the composite material to be analyzed so as to finish curing deformation analysis on the composite material to be analyzed.
8. An analysis device for curing deformation of a composite material, comprising:
the acquisition unit is used for acquiring an input parameter set of the composite material to be analyzed;
the input unit is used for inputting the input parameter set into a file generation program based on a Monte Carlo method to obtain a plurality of submitted files;
and the analysis unit is used for inputting the submitted file into Abaqus software for solving so as to carry out solidification deformation analysis on the composite material to be analyzed.
9. An electronic device comprising a memory and a processor, the memory having stored therein a computer program, the processor implementing the method of any of claims 1-7 when the computer program is executed.
10. A computer readable storage medium, having stored thereon a computer program which, when executed in a computer, causes the computer to perform the method of any of claims 1-7.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117727405A (en) * | 2024-02-08 | 2024-03-19 | 北京理工大学 | Method and device for analyzing interaction of soft mold-composite material grid structure |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20110208486A1 (en) * | 2010-02-19 | 2011-08-25 | Khalid Qureshi | Computer based modeling of fibrous materials |
| CN109241650A (en) * | 2018-09-25 | 2019-01-18 | 南京航空航天大学 | Based on the Long-time Mechanical Properties of Carbon Fiber Reinforced Polymer prediction technique emulated across scale |
| CN113168891A (en) * | 2018-09-14 | 2021-07-23 | 西北大学 | Data-driven representation and clustering discretization method and system for design optimization and/or performance prediction of material systems and application thereof |
| CN113505449A (en) * | 2021-06-18 | 2021-10-15 | 中国石油大学(华东) | Random analysis method for predicting failure load of composite material flexible pipe |
-
2023
- 2023-07-25 CN CN202310914145.1A patent/CN116646037B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20110208486A1 (en) * | 2010-02-19 | 2011-08-25 | Khalid Qureshi | Computer based modeling of fibrous materials |
| CN113168891A (en) * | 2018-09-14 | 2021-07-23 | 西北大学 | Data-driven representation and clustering discretization method and system for design optimization and/or performance prediction of material systems and application thereof |
| CN109241650A (en) * | 2018-09-25 | 2019-01-18 | 南京航空航天大学 | Based on the Long-time Mechanical Properties of Carbon Fiber Reinforced Polymer prediction technique emulated across scale |
| CN113505449A (en) * | 2021-06-18 | 2021-10-15 | 中国石油大学(华东) | Random analysis method for predicting failure load of composite material flexible pipe |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117727405A (en) * | 2024-02-08 | 2024-03-19 | 北京理工大学 | Method and device for analyzing interaction of soft mold-composite material grid structure |
| CN117727405B (en) * | 2024-02-08 | 2024-04-30 | 北京理工大学 | Method and device for analyzing interaction of soft mold-composite material grid structure |
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