Detection Method, Device and Medium for the Influence of Fiber Orientation on the Properties of Composites

Abstract

The present invention discloses a method, device, equipment and medium for detecting the influence of fiber orientation on the properties of composite materials. The method includes: obtaining the test data of the target material; calculating the reduction coefficient K of the target material based on the test data of the target material; and obtaining the material property influence result matching the target material according to the reduction coefficient K. Through the technical solution of the present invention, it is possible to realize the detection of the influence of fiber orientation on the properties of composite materials, improve the efficiency of the detection work of the influence of composite material properties, reduce the resource consumption of the detection work of the influence of composite material properties, and save human and material resources.

Description

Technical Field

[0001] The present invention relates to the field of material testing, and particularly to a method, device, equipment and medium for detecting the influence of fiber orientation on the performance of composite materials. Background Art

[0002] In three-dimensional braided composites, the presence of braided fibers causes the nominally straight in-plane yarn fillers to generally have a large degree of waviness. This waviness has an important impact on the elastic properties, mainly manifested as reducing the axial stiffness of the tow, that is, the fiber orientation will affect the axial stiffness performance of the composite material. However, due to the extremely complex microstructure of the braided composite material, the fiber waviness is random and does not have a single characteristic wavelength or amplitude. Therefore, it is unrealistic to model the actual tow geometry at present. Thus, in the prior art, it is impossible to detect the influence of fiber orientation on the performance of composite materials. Summary of the Invention

[0003] The present invention provides a method, device, equipment and medium for detecting the influence of fiber orientation on the performance of composite materials, which can solve the problem that the prior art cannot detect the influence of fiber orientation on the performance of composite materials.

[0004] In a first aspect, an embodiment of the present invention provides a method for detecting the influence of fiber orientation on the performance of composite materials, the method comprising:

[0005] Obtaining the test data to be tested of the target material;

[0006] Calculating the reduction coefficient K of the target material based on the test data to be tested of the target material;

[0007] Obtaining the material performance influence result matching the target material according to the reduction coefficient K.

[0008] In a second aspect, an embodiment of the present invention provides a device for detecting the influence of fiber orientation on the performance of composite materials, the device comprising:

[0009] A data acquisition module, configured to obtain the test data to be tested of the target material;

[0010] A reduction coefficient calculation module, configured to calculate the reduction coefficient K of the target material based on the test data to be tested of the target material;

[0011] A result generation module, configured to obtain the material performance influence result matching the target material according to the reduction coefficient K.

[0012] In a third aspect, an embodiment of the present invention provides an electronic device, the electronic device comprising:

[0013] At least one processor; and

[0014] A memory communicatively connected to the at least one processor; wherein,

[0015] The memory stores a computer program executable by the at least one processor, and when the computer program is executed by the at least one processor, the at least one processor is enabled to execute the method for detecting the influence of fiber orientation on the properties of a composite material according to any embodiment of the present invention.

[0016] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium storing computer instructions for causing a processor to implement the method for detecting the influence of fiber orientation on the properties of a composite material according to any embodiment of the present invention when executed.

[0017] The technical solution of the embodiment of the present invention solves the problem that the prior art cannot detect the influence of fiber orientation on the properties of a composite material by obtaining the test data of a target material, then calculating the reduction coefficient K of the target material based on the test data of the target material, and finally obtaining the material property influence result matching the target material according to the reduction coefficient K. It can realize the detection of the influence of fiber orientation on the properties of a composite material, improve the efficiency of the detection work of the influence of composite material properties, reduce the resource consumption of the detection work of the influence of composite material properties, and save human and material resources.

[0018] It should be understood that the content described in this part is not intended to identify the key or important features of the embodiments of the present invention, nor is it used to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present invention, and those of ordinary skill in the art can obtain other drawings without creative efforts based on these drawings.

[0020] Figure 1 is a flowchart of a method for detecting the influence of fiber orientation on the properties of a composite material according to Embodiment 1 of the present invention;

[0021] Figure 2 is a flowchart of a method for detecting the influence of fiber orientation on the properties of a composite material according to Embodiment 2 of the present invention;

[0022] Figure 3 is a schematic structural diagram of a device for detecting the influence of fiber orientation on the properties of a composite material according to Embodiment 3 of the present invention;

[0023] Figure 4 It is a schematic structural diagram of an electronic device for implementing a detection method for the influence of fiber orientation on the properties of a composite material according to an embodiment of the present invention. Detailed implementation manners

[0024] In order to enable those skilled in the art to better understand the solution of the present invention, the technical solutions in 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. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0025] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above drawings are used to distinguish similar objects, and do not necessarily need to describe a specific order or sequence. It should be understood that such data can be interchanged under appropriate circumstances so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "comprising" and "having" any variations are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device comprising a series of steps or units does not necessarily have to be limited to those steps or units clearly listed, but may include other steps or units not clearly listed or inherent to these processes, methods, products or devices.

[0026] In order to enable those skilled in the art to better understand the solution of the present invention, first, a detection method for the influence of fiber orientation on the properties of a composite material in the prior art will be briefly introduced. Specifically, the flow of the existing detection method is as follows: Step 1: Perform microscopic mechanical analysis based on the properties of the component materials of the composite material to obtain the hierarchical macroscopic mechanical properties; Step 2: Perform finite element analysis under specific working conditions (such as unidirectional tension) based on the macroscopic mechanical properties; Step 3: Perform damage analysis based on the finite element analysis results (such as displacement, stress, strain) and failure criteria (such as maximum stress, maximum strain); Step 4: Modify / reduce the corresponding unit material properties based on the damage failure assessment results, and repeat the above three steps until no new damage occurs under the current load; Step 5: Update / increase the load, and re-perform the loop calculation of the above four steps until the material completely fails, and the current load is the ultimate bearing capacity of the composite material under the current working condition.

[0027] Exemplarily, the simulation analysis of the mechanical properties of three-dimensional braided continuously reinforced composite materials has been completed based on the secondary development environment of finite element software. The specific implementation process is as follows:

[0028] Secondary development is carried out in the finite element software GENOA for composite materials, and the VUMAT user subroutine is written based on the Python language. This example is based on the ASTM D3039 standard. The composite laminate under unidirectional tensile load is made of CARBON / EPOX composite material.

[0029] Based on the above component materials, a composite material microstructure with fiber orientation is established as follows. The fiber volume content of the composite material is 40%, the fiber waviness amplitude C = 0.5 inch, and the half-wavelength l = 10 inches. A finite element model of the composite material is generated using the parametric modeling method.

[0030] Based on the finite element model of the composite material, axial tensile simulation can be carried out by applying loads and boundary conditions, and then progressive failure analysis of the composite laminate under unidirectional tensile load can be performed. It supports simulating the whole process of damage initiation, evolution, and final failure of the composite laminate. At each load increment step, the stress vector σ = [σ11, σ22, σ33, τ12, τ13, τ23]T obtained by finite element solution will be used as the initial input, and based on the composite material failure criterion, it is judged whether damage occurs in the composite laminate. If damage occurs, the stiffness of the failed element is degraded, and the above cycle is re-executed at the current load level until the damage no longer expands or complete failure occurs. If no damage occurs to the material, continue to apply the load increment and submit the finite element analysis until damage appears. Among them, the progressive damage assessment is carried out by locally applying the failure criterion within each finite element and referring to the local coordinate direction of the material direction. That is, at each individual load increment step, the in-plane and out-of-plane sub-volume micro-stresses can be obtained through composite material micromechanics analysis, and their damage conditions are evaluated according to different failure criteria. Finally, the detection results of the influence of the final fiber orientation on the composite material performance are obtained from the evaluated damage results.

[0031] In summary, when using the existing technology to detect the influence on the performance of composite materials, the operation procedure is complex, the computing power requirement is large, the time-consuming of the detection process is long, resulting in a large consumption of human and material resources for the detection work of the influence on the performance of composite materials, and the efficiency of the detection work is low.

[0032] Example 1

[0033] Figure 1The flowchart of a method for detecting the influence of fiber orientation on the properties of a composite material provided in Embodiment 1 of the present invention. This embodiment is applicable to the situation of detecting the influence of fiber orientation on the properties of a composite material. This method can be executed by a detection device for the influence of fiber orientation on the properties of a composite material. The detection device for the influence of fiber orientation on the properties of a composite material can be implemented in the form of hardware and / or software, and can be configured in a terminal or server with the function of detecting the influence of fiber orientation on the properties of a composite material.

[0034] As Figure 1 shown, the method includes:

[0035] S110. Obtain the test data of the target material.

[0036] Among them, the test data includes: the ripple amplitude C of the target material, the fiber volume content V f , the transverse tensile modulus the longitudinal elastic modulus E of the fiber f and the half wavelength l.

[0037] In this embodiment, the target material can be a three-dimensional braided composite material; further, a three-dimensional braided composite material is a composite material formed by interweaving fibers or yarns in three-dimensional space. Compared with traditional laminated composite materials, three-dimensional braided composite materials have the following characteristics: continuity of reinforcing fibers: three-dimensional braiding enables the reinforcing fibers to form a continuous network structure in the composite material, providing better mechanical properties and damage tolerance; isotropic or nearly isotropic: the braided structure can reduce the anisotropy of the material, making the composite material have similar properties in different directions; better delamination resistance: the braided structure can effectively inhibit the occurrence of delamination, improving the overall strength and stability of the composite material; strong designability: by changing the braiding parameters and fiber arrangement, three-dimensional braided composite materials with specific properties can be designed; suitable for complex shapes: three-dimensional braiding technology can manufacture composite material parts with complex shapes, reducing the difficulty of processing and connection.

[0038] Further, in this embodiment, the ripple amplitude C is the maximum distance that the ripple of the fiber in the target material deviates from a straight line; the fiber volume content V f is the volume ratio of the fibers in the composite material; the transverse tensile modulus is the elastic modulus of the material during transverse tension, reflecting the ability of the material to resist deformation in the transverse direction; the longitudinal elastic modulus E of the fiber f is the elastic modulus of the fiber in the longitudinal direction, reflecting the ability of the fiber to resist deformation in the longitudinal direction; the half wavelength l is half of the length of a complete cycle of the ripple.

[0039] S120. Calculate the reduction coefficient K of the target material based on the test data of the target material.

[0040] Among them, the reduction coefficient refers to the proportional coefficient for discounting or reducing a certain value under certain circumstances; correspondingly, in this embodiment, the reduction coefficient K of the target material is the proportional coefficient for discounting or reducing the axial stiffness performance of the composite material by fiber orientation.

[0041] S130. Obtain the material property influence result matching the target material according to the reduction coefficient K.

[0042] Among them, obtaining the material property influence result matching the target material according to the reduction coefficient K includes: obtaining the standard reduction coefficient matching the target material, and determining whether the reduction coefficient K of the target material is greater than the standard reduction coefficient; if the reduction coefficient K of the target material is greater than the standard reduction coefficient, it is determined that the material property influence result of the target material is that the fiber orientation has little influence on the performance of the target material; if the reduction coefficient K of the target material is greater than the standard reduction coefficient, it is determined that the material property influence result of the target material is that the fiber orientation has a great influence on the performance of the target material.

[0043] Optionally, after obtaining the material property influence result matching the target material according to the reduction coefficient K, it further includes: displaying the reduction coefficient K through a display device, so that relevant staff can obtain the material property influence result matching the target material based on the reduction coefficient K.

[0044] Specifically, according to the reduction coefficient K, we can obtain the material property influence result matching the target material. The specific steps are as follows: First, obtain the standard reduction coefficient matching the target material. Then, determine whether the reduction coefficient K of the target material is greater than the standard reduction coefficient. If the reduction coefficient K of the target material is greater than the standard reduction coefficient, then it can be determined that the material property influence result of the target material is that the fiber orientation has a relatively small influence on the performance of the target material; on the contrary, if the reduction coefficient K of the target material is less than or equal to the standard reduction coefficient, it can be determined that the material property influence result of the target material is that the fiber orientation has a relatively large influence on the performance of the target material; optionally, after obtaining the material property influence result matching the target material according to the reduction coefficient K, we can also display the reduction coefficient K through a display device. In this way, relevant staff can intuitively understand the material property influence result matching the target material based on the reduction coefficient K. This helps them make more accurate judgments and decisions.

[0045] The technical solution of the embodiment of the present invention can detect the influence of fiber orientation on the properties of composites by obtaining the test data of the target material, then calculating the reduction coefficient K of the target material based on the test data of the target material, and finally obtaining the material property influence result matching the target material according to the reduction coefficient K. It improves the efficiency of the detection work of the influence of composite material properties, reduces the resource consumption of the detection work of the influence of composite material properties, and saves human and material resources.

[0046] Embodiment 2

[0047] Figure 2 It is a flowchart of a method for detecting the influence of fiber orientation on the properties of composites provided by Embodiment 2 of the present invention. This embodiment is refined based on the above embodiment. Specifically, in this embodiment, the method for calculating the reduction coefficient K of the target material based on the test data of the target material is refined.

[0048] As Figure 2 shown, the method includes:

[0049] S210. Obtain the test data of the target material.

[0050] Among them, the test data includes: the ripple amplitude C of the target material, the fiber volume content V f , the transverse tensile modulus the longitudinal elastic modulus E of the fiber f and the half wavelength l.

[0051] S220. Obtain the ripple amplitude C and the half wavelength l in the test data, and calculate the wavelength ripple parameter F of the target material according to the wavelength ripple function.

[0052] Specifically, obtaining the ripple amplitude C and the half wavelength l in the test data and calculating the wavelength ripple parameter F of the target material according to the wavelength ripple function includes: obtaining the ripple amplitude C and the half wavelength l in the test data; based on the formula

[0053]

[0054] calculate the wavelength ripple parameter F of the target material.

[0055] S230. Calculate the reduction coefficient K of the target material according to the ripple amplitude C, the fiber volume content V f , the transverse tensile modulus the longitudinal elastic modulus E of the fiber f , the half wavelength l and the wavelength ripple parameter F of the target material.

[0056] Among them, according to the ripple amplitude C, the fiber volume content V of the target materialf , transverse tensile modulus Longitudinal elastic modulus E of the fiber f , half wavelength l, and wavelength ripple parameter F to calculate the reduction coefficient K of the target material, including: obtaining the ripple amplitude C and fiber volume content V of the target material f , transverse tensile modulus Longitudinal elastic modulus E of the fiber f , half wavelength l, and wavelength ripple parameter F; according to the formula Calculate the reduction coefficient K of the target material.

[0057] S240. Obtain the material property influence result matching the target material according to the reduction coefficient K.

[0058] In the technical solution of the embodiment of the present invention, by obtaining the test data of the target material, then obtaining the ripple amplitude C and half wavelength l in the test data, calculating the wavelength ripple parameter F of the target material according to the wavelength ripple function, and according to the ripple amplitude C, fiber volume content V f , transverse tensile modulus Longitudinal elastic modulus E of the fiber f , half wavelength l, and wavelength ripple parameter F to calculate the reduction coefficient K of the target material, and finally obtain the material property influence result matching the target material according to the reduction coefficient K, which can realize the detection of the influence of fiber orientation on the properties of the composite material, improve the efficiency of the detection work of the influence of the properties of the composite material, reduce the resource consumption of the detection work of the influence of the properties of the composite material, and save human and material resources.

[0059] Embodiment III

[0060] Figure 3 It is a schematic structural diagram of a detection device for the influence of fiber orientation on the properties of a composite material provided by Embodiment III of the present invention.

[0061] As Figure 3 shown, the device includes:

[0062] A data acquisition module 310 for acquiring test data of the target material;

[0063] A reduction coefficient calculation module 320 for calculating the reduction coefficient K of the target material based on the test data of the target material;

[0064] A result generation module 330 for obtaining a material property influence result matching the target material according to the reduction coefficient K.

[0065] The technical solution of the embodiment of the present invention can detect the influence of fiber orientation on the properties of composites by obtaining the test data of the target material, then calculating the reduction coefficient K of the target material based on the test data of the target material, and finally obtaining the material property influence result matching the target material according to the reduction coefficient K, improving the efficiency of the detection work of the influence of composite material properties, reducing the resource consumption of the detection work of the influence of composite material properties, and saving human and material resources.

[0066] Based on the above embodiment, the reduction coefficient calculation module 320 includes:

[0067] The parameter calculation unit is used to obtain the ripple amplitude C and the half wavelength l in the test data, and calculate the wavelength ripple parameter F of the target material according to the wavelength ripple function;

[0068] The coefficient calculation unit is used to calculate the reduction coefficient K of the target material according to the ripple amplitude C, fiber volume content V f , transverse tensile modulus fiber longitudinal elastic modulus E f , half wavelength l and wavelength ripple parameter F.

[0069] Based on the above embodiment, the parameter calculation unit further includes:

[0070] The first data acquisition unit is used to obtain the ripple amplitude C and the half wavelength l in the test data;

[0071] The first calculation unit is used to calculate the wavelength ripple parameter F of the target material based on the formula

[0072] .

[0073] Based on the above embodiment, the coefficient calculation unit further includes:

[0074] The second data acquisition unit is used to obtain the ripple amplitude C, fiber volume content V f , transverse tensile modulus fiber longitudinal elastic modulus E f , half wavelength l and wavelength ripple parameter F;

[0075] The second calculation unit is used to calculate the reduction coefficient K of the target material according to the formula .

[0076] Based on the above embodiment, the result generation module 330 includes:

[0077] A coefficient comparison unit is configured to obtain a standard reduction coefficient matching the target material and determine whether the reduction coefficient K of the target material is greater than the standard reduction coefficient;

[0078] A first result generation unit is configured to, if the reduction coefficient K of the target material is greater than the standard reduction coefficient, determine that the result of the influence of the material property of the target material is that the fiber orientation has little influence on the property of the target material;

[0079] A second result generation unit is configured to, if the reduction coefficient K of the target material is greater than the standard reduction coefficient, determine that the result of the influence of the material property of the target material is that the fiber orientation has a great influence on the property of the target material.

[0080] Based on the above embodiments, the result generation module 330 is further configured to: after obtaining the result of the influence of the material property matching the target material according to the reduction coefficient K, display the reduction coefficient K through a display device, so that relevant staff can obtain the result of the influence of the material property matching the target material based on the reduction coefficient K.

[0081] The detection device for the influence of fiber orientation on the properties of a composite material provided by the embodiments of the present invention can execute the detection method for the influence of fiber orientation on the properties of a composite material provided by any embodiment of the present invention, and has the corresponding functional modules and beneficial effects for executing the method.

[0082] Embodiment 4

[0083] Figure 4 FIG. shows a schematic structural diagram of an electronic device 10 that can be used to implement the embodiments of the present invention. The electronic device is intended to represent various forms of digital computers, such as, a laptop computer, a desktop computer, a workbench, a personal digital assistant, a server, a blade server, a mainframe computer, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as, a personal digital processor, a cellular phone, a smart phone, a wearable device (such as a helmet, glasses, a watch, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are only examples and are not intended to limit the implementation of the present invention described herein and / or claimed.

[0084] As Figure 4As shown, the electronic device 10 includes at least one processor 11 and a memory communicatively connected to the at least one processor 11, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc. Among them, the memory stores a computer program executable by the at least one processor. The processor 11 can execute various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or the computer program loaded from the storage unit 18 into the random access memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 can also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other through a bus 14. The input / output (I / O) interface 15 is also connected to the bus 14.

[0085] Multiple components in the electronic device 10 are connected to the I / O interface 15, including: an input unit 16, such as a keyboard, a mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a disk, an optical disc, etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0086] The processor 11 can be various general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, etc. The processor 11 executes the various methods and processes described above, such as the detection method for the influence of fiber orientation on the performance of composite materials.

[0087] Correspondingly, the method includes:

[0088] Obtain the test data of the target material;

[0089] Calculate the reduction coefficient K of the target material based on the test data of the target material;

[0090] Obtain the material property influence result matching the target material according to the reduction coefficient K. In some embodiments, the detection method for the influence of fiber orientation on the properties of a composite material can be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program can be loaded and / or installed onto the electronic device 10 via ROM 12 and / or communication unit 19. When the computer program is loaded into RAM 13 and executed by the processor 11, one or more steps of the detection method for the influence of fiber orientation on the properties of a composite material described above can be executed. Alternatively, in other embodiments, the processor 11 can be configured to execute the detection method for the influence of fiber orientation on the properties of a composite material in any other suitable manner (e.g., by means of firmware).

[0091] Various embodiments of the systems and techniques described above in this document can be implemented in digital electronic circuitry, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SOCs), complex programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special-purpose or general-purpose programmable processor that receives data and instructions from a storage system, at least one input device, and at least one output device, and transmits the data and instructions to the storage system, the at least one input device, and the at least one output device.

[0092] The computer programs for implementing the methods of the present invention can be written in any combination of one or more programming languages. These computer programs can be provided to the processor of a general-purpose computer, a special-purpose computer, or other programmable data processing devices, such that when the computer programs are executed by the processor, the functions / operations specified in the flowchart and / or block diagram are implemented. The computer programs can be executed entirely on the machine, partially on the machine, as a stand-alone software package partially on the machine and partially on a remote machine, or entirely on a remote machine or server.

[0093] In the context of the present invention, a computer-readable storage medium can be a tangible medium that can contain or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer-readable storage medium can include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. Alternatively, the computer-readable storage medium can be a machine-readable signal medium. More specific examples of the machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0094] To provide for interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which the user can provide input to the electronic device. Other kinds of devices can also be used to provide for interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0095] The systems and techniques described herein can be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer having a graphical user interface or a web browser through which the user can interact with an implementation of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0096] A computing system may include a client and a server. The client and the server are generally far from each other and usually interact through a communication network. The relationship between the client and the server is generated by computer programs running on respective computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or a cloud host, which is a host product in the cloud computing service system, and solves the defects of difficult management and weak business scalability existing in traditional physical hosts and VPS services.

[0097] It should be understood that various forms of processes shown above can be used, steps can be reordered, added or deleted. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution of the present invention can be achieved, and no limitation is made herein.

Claims

1. A method for detecting the effect of fiber orientation on composite material performance, characterized in that: include: Obtain the test data of the target material; Calculating the reduction factor K of the target material based on the to-be-tested data of the target material; Obtaining a material performance impact result matching the target material according to the reduction coefficient K; Calculating the reduction factor K of the target material based on the test data of the target material includes: obtaining the ripple amplitude C and the half wavelength in the test data; , the wavelength ripple parameter of the target material is calculated according to the wavelength ripple function ; According to the corrugation amplitude C and fiber volume content of the target material , Transverse tensile modulus , fiber longitudinal elastic modulus E f , half wavelength And the wavelength ripple parameter F is used to calculate the reduction coefficient K of the target material; Furthermore, the ripple amplitude C and half wavelength in the test data are obtained. , the wavelength ripple parameter F of the target material is calculated according to the wavelength ripple function, including: obtaining the ripple amplitude C and half wavelength in the test data ; Based on the formula Calculate and obtain the wavelength ripple parameter F of the target material; And, according to the corrugation amplitude C, fiber volume content of the target material , Transverse tensile modulus , fiber longitudinal elastic modulus E f , half wavelength The reduction coefficient K of the target material is calculated by the wavelength corrugation parameter F, including: obtaining the corrugation amplitude C and fiber volume content of the target material , Transverse tensile modulus , fiber longitudinal elastic modulus E f , half wavelength And the wavelength ripple parameter F; according to the formula The reduction factor K of the target material is obtained by calculation.

2. The method according to claim 1, characterized in that The data to be tested include: the ripple amplitude C of the target material, the fiber volume content , Transverse tensile modulus , fiber longitudinal elastic modulus E f and half wavelength .

3. The method according to claim 1, characterized in that Obtaining a material performance impact result matching the target material according to the reduction coefficient K includes: Obtaining a standard reduction factor matching the target material, and determining whether the reduction factor K of the target material is greater than the standard reduction factor; If the reduction factor K of the target material is greater than the standard reduction factor, it is determined that the material property influence result of the target material is that the fiber orientation has little influence on the property of the target material; If the reduction factor K of the target material is greater than the standard reduction factor, it is determined that the material property influence result of the target material is that the fiber orientation has a great influence on the property of the target material.

4. The method according to claim 1, characterized in that After obtaining the material performance impact result matching the target material according to the reduction coefficient K, the method further includes: The reduction coefficient K is displayed through a display device so that relevant staff can obtain the material performance impact result of the target material matching based on the reduction coefficient K.

5. A device for detecting the effect of fiber orientation on composite material properties, characterized in that: include: A data acquisition module, used to acquire the test data of the target material; A reduction coefficient calculation module, used for calculating the reduction coefficient K of the target material based on the to-be-tested data of the target material; A result generation module, used for obtaining a material performance impact result matching the target material according to the reduction coefficient K; The coefficient calculation module includes: a parameter calculation unit for obtaining the ripple amplitude C and half wavelength in the test data. , the wavelength ripple parameter of the target material is calculated according to the wavelength ripple function ; Coefficient calculation unit, used to calculate the target material according to the corrugation amplitude C, fiber volume content , Transverse tensile modulus , fiber longitudinal elastic modulus E f , half wavelength And the wavelength ripple parameter F is used to calculate the reduction coefficient K of the target material; Furthermore, the parameter calculation unit includes: a first data acquisition unit for acquiring the ripple amplitude C and half wavelength in the test data ; The first calculation unit is used to calculate the Calculate and obtain the wavelength ripple parameter F of the target material; The coefficient calculation unit further includes: a second data acquisition unit for acquiring the corrugation amplitude C and fiber volume content of the target material. , Transverse tensile modulus , fiber longitudinal elastic modulus Ef, half wavelength and wavelength ripple parameter F; the second calculation unit is used to calculate according to the formula The reduction factor K of the target material is obtained by calculation.

6. An electronic device, characterized in that: The electronic device comprises: at least one processor; and a memory communicatively connected to the at least one processor; wherein, The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can perform the method for detecting the influence of fiber orientation on composite material properties according to any one of claims 1 to 4.

7. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the method for detecting the influence of fiber orientation on composite material performance according to any one of claims 1 to 4 when executed.

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