Graphite felt closed compression device and graphite felt detection method applied thereto

Abstract

The application discloses a graphite felt closed compression device and a graphite felt detection method applied to the graphite felt closed compression device. The graphite felt closed compression device comprises a cavity, a pressing plug and a cover body. The cavity is provided with an opening, and the material of the cavity is an X-ray penetrable material. The cover body covers the opening and is threadedly connected with the cavity. The pressing plug is located in the cavity and can reciprocate along a preset direction relative to the cavity. One end of the pressing plug along the preset direction is surrounded by the cavity to form a containing space for containing the graphite felt. The other end of the pressing plug along the preset direction is correspondingly arranged with the cover body. In the process of rotating the cover body relative to the cavity, the cover body can synchronously move linearly towards the pressing plug to correspondingly abut against the pressing plug, or the cover body can synchronously move linearly away from the pressing plug to correspondingly abut against or release the pressing plug. In the rotating process of the cover body, the cover body drives the pressing plug to compress the graphite felt, so that the graphite felt of the graphite felt closed compression device can be detected under different compression rates, and continuous compression can be realized.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of closed compression devices, in particular to a graphite felt closed compression device and a graphite felt detection method applied thereto. BACKGROUND

[0002] With the rapid growth of renewable energy installations such as wind power and photovoltaic, long-time energy storage (generally more than 4 hours) is increasingly in demand. Flow batteries are considered an ideal choice for regulating grid fluctuations and improving energy utilization efficiency due to their scalability, safety, and long cycle life. The specific surface area of the electrode material and its electrochemical stability directly determine the power density, energy efficiency, and service life of vanadium batteries. Among numerous carbon and metal materials, felt electrodes such as graphite felt and carbon felt are widely used as electrode materials for commercial vanadium batteries due to their strong corrosion resistance, good electrical conductivity, large specific surface area, high mechanical strength, and low cost.

[0003] Firstly, the structure of the porous electrode is crucial to the active material transport and resistance within the battery. When the battery is running, in order to reduce the resistance of the battery, the compression ratio needs to be increased to increase the contact between the porous fibers, thereby reducing the electronic resistance of the electrode. However, too high a compression ratio often leads to smaller and smaller pores in the electrode, increasing the transmission resistance of the battery. On the one hand, it affects the transport of active materials, leading to increased concentration polarization. On the other hand, it increases the pump work loss at the inlet and outlet, affecting the pump function efficiency. Therefore, the compression state (such as compression ratio) of the porous structure will significantly affect the mass transfer and reaction kinetics of the electrolyte.

[0004] Secondly, when the porous electrode is assembled in the battery, due to the different forces inside the battery, the compression ratio of the electrode is different in different places. For example, when the battery is assembled, the pressure near the bolt is usually larger, and the electrode compression is more obvious. The center of the electrode stack far from the bolt is compressed less, and even some areas are in a semi-constrained free state. This non-uniform deformation needs to be studied in order to optimize the mechanical structure of the flow battery and improve the battery performance.

[0005] In addition, more and more flow field type battery structures are being adopted. In the flow field type battery, the flow field contains two parts, ribs and flow channels. The electrode above the ribs is squeezed. However, the electrode above the flow channel may be squeezed into the flow channel. This non-uniform deformation has a great influence on the distribution of active materials and the resistance of the battery. Understanding the specific situation of the deformation is crucial for optimizing the structure of the flow channel and improving the performance of the battery. However, there is currently a lack of corresponding graphite felt compression devices. SUMMARY

[0006] The compression rate of the porous electrode and the non-uniform deformation have a great influence on the performance of the battery. It is crucial to obtain the information of the electrode structure of the flow battery under different compression rates for optimizing the component design and mechanical design of the battery. The existing CT scanning device for compressing graphite felt adjusts the compression rate in the following ways: (1) using gaskets to increase or decrease the number of metal or polyethylene terephthalate sheets which are not easy to deform, which has high operation complexity and the thickness of the gasket is fixed, so it cannot realize continuous compression of the graphite felt; (2) adjusting the compression rate by changing the thickness of the part of the device in contact with the graphite felt, so that each set of devices corresponds to only one compression rate, and more devices need to be processed to obtain data under different compression rates, which increases the cost and operation complexity; (3) adjusting the compression rate by using graphite felt with different thicknesses or by changing the number of stacked graphite felt, which requires a larger number of graphite felt and cannot avoid the differences between different graphite felt and cannot realize continuous adjustment of the compression rate. The graphite felt closed compression device of the application only needs to rotate the cover, and the rotation degree is continuously adjustable, and the compression displacement is proportional to the degree of cover rotation, which realizes continuous adjustment of the compression rate. Compared with the existing device, the device of the application has the advantages of continuous adjustment of the compression rate of the graphite felt.

[0007] The purpose of the application is to overcome the shortcomings of the prior art, and the application provides a graphite felt closed compression device and a graphite felt detection method applied thereto.

[0008] In a first aspect, the embodiments of the application provide a graphite felt closed compression device, which comprises:

[0009] A cavity is provided with an opening, and the material of the cavity is an X-ray transparent material;

[0010] A cover body covers the opening and is threadedly connected with the cavity;

[0011] A compression plug is located in the cavity and can reciprocate along a preset direction relative to the cavity, one end of the compression plug along the preset direction and the cavity form a containing space for containing graphite felt, and the other end of the compression plug along the preset direction corresponds to the cover body;

[0012] During the rotation of the cover body relative to the cavity, the cover body can synchronously move linearly towards the compression plug to correspondingly abut against the compression plug, or the cover body can synchronously move linearly away from the compression plug to correspondingly abut against or release the compression plug.

[0013] Optionally, the cover body comprises a groove body and a boss part, an inner thread is arranged on the inner circumferential surface of the groove body, and the boss part is arranged on the inner bottom surface of the groove body and protrudes relative to the inner bottom surface of the groove body.

[0014] The cavity is provided with an outer thread on the outer periphery of the open end, the protrusion part extends into the cavity along the opening and abuts against the compression plug.

[0015] Optionally, the cavity has an upper limit value mark for indicating the graphite felt capacity, the graphite felt capacity in the cavity is lower than or equal to the upper limit value mark, and the cover and the compression plug are separated from each other or just in contact with each other at the initial time when the cover is threadedly engaged with the cavity.

[0016] Optionally, the cavity has a position mark for indicating the maximum compression position of the compression plug, wherein the depth a of the recess body, the length b of the compression plug in the preset direction, the distance c between the inner bottom end of the cavity and the position mark, and the distance H between the inner bottom surface of the cavity and the opening satisfy: a+b+c>H.

[0017] Optionally, the axial length of the outer thread is greater than or equal to the axial length of the inner thread.

[0018] Optionally, the X-ray permeable material includes plastic; and / or

[0019] The material of the compression plug is also the X-ray permeable material; and / or

[0020] The material of the cover is also the X-ray permeable material.

[0021] Optionally, the surface of the compression plug near one end of the accommodation space is a smooth surface; or

[0022] The surface of the compression plug near one end of the accommodation space is provided with one or more flow channels; or

[0023] The surface of the compression plug near one end of the accommodation space is provided with one or more protruding rib arrays.

[0024] Optionally, a part of the side wall of the cavity is provided as a thinned wall, and at least a part of the thinned wall is located laterally to the accommodation space.

[0025] Optionally, the outer surface of the thinned wall is flush with the outer surface of the side wall of the cavity, or is recessed relative to the outer surface of the side wall of the cavity, and the inner surface of the thinned wall is recessed relative to the inner surface of the side wall of the cavity.

[0026] Optionally, the side wall of the cavity is provided with a through hole, the through hole penetrates the side wall of the cavity in the direction of the thick wall of the side wall of the cavity, and the through hole is located laterally to the accommodation space.

[0027] A film is wound around the outer periphery of the cavity, and the film seals the through hole.

[0028] Optionally, the cavity comprises a bottom wall and a peripheral wall, the bottom wall is arranged at one end of the peripheral wall, the other end of the peripheral wall surrounds the opening, and the bottom wall, a part of the peripheral wall and the plug surround the containing space; the thickness of the bottom wall is greater than the thickness of the peripheral wall.

[0029] In a second aspect, an embodiment of the present application provides a graphite felt detection method applied to a graphite felt closed compression device, the graphite felt detection method applied to the graphite felt closed compression device is applied to the graphite felt closed compression device as described above, and the graphite felt detection method applied to the graphite felt closed compression device comprises:

[0030] If the graphite felt is in a compression state, a CT image of the graphite felt in the compression state is acquired;

[0031] According to the CT image, a CT scanning mode of the graphite felt is determined;

[0032] According to the CT scanning mode, the graphite felt closed compression device is detected to obtain a plurality of fiber images of the graphite felt; wherein the plurality of fiber images each correspond to different compression rates respectively;

[0033] According to the plurality of fiber images, a change region corresponding to the graphite felt is determined;

[0034] According to the change region corresponding to the graphite felt, a performance grade of the graphite felt is determined.

[0035] Optionally, if the graphite felt is in a compression state, a CT image of the graphite felt in the compression state is acquired, comprising:

[0036] If the graphite felt is in a compression state extruded by the plug, a rotation angle of the cover relative to the cavity is determined, and a compression rate of the graphite felt is determined according to the rotation angle of the cover relative to the cavity, the specification of the plug and the specification of the cavity;

[0037] According to the compression rate of the graphite felt and the model of the graphite felt, a preliminary compression form of the graphite felt is determined;

[0038] Based on the preliminary compression form of the graphite felt and the model of the CT scanning device, a CT scanning mode corresponding to the graphite felt is determined;

[0039] Based on the CT scanning mode, the CT scanning device is controlled to scan the graphite felt to obtain a CT image of the graphite felt in the compression state.

[0040] Optionally, the CT scanning mode of the graphite felt is determined according to the CT image, comprising:

[0041] determine a plurality of morphological features of the graphite felt according to the CT image;

[0042] determine a CT scanning mode of the graphite felt according to the plurality of morphological features, the detection position of the graphite felt and the specification information of the graphite felt.

[0043] Optionally, the determining a plurality of morphological features of the graphite felt according to the CT image comprises:

[0044] dividing the CT image into a plurality of morphological regions;

[0045] for each morphological region, identifying the morphological region to determine a morphological feature of the morphological region;

[0046] determining a plurality of morphological features of the graphite felt according to the morphological features corresponding to the plurality of morphological regions respectively.

[0047] Optionally, the determining a CT scanning mode of the graphite felt according to the plurality of morphological features, the detection position of the graphite felt and the specification information of the graphite felt comprises:

[0048] determining a first mode coefficient according to the plurality of morphological features and the detection position of the graphite felt;

[0049] determining a second mode coefficient according to the plurality of morphological features and the model of the graphite felt;

[0050] determining the CT scanning mode of the graphite felt based on the first mode coefficient, the second mode coefficient and a preset CT scanning mode matching table, wherein the CT scanning mode comprises the following modes: a local detection scanning mode, an overall detection scanning mode or an oriented detection scanning mode.

[0051] Optionally, the detecting the graphite felt closed compression device according to the CT scanning mode to obtain a plurality of fiber images of the graphite felt comprises:

[0052] controlling a CT scanning device to detect the graphite felt closed compression device based on the CT scanning mode;

[0053] determining state nodes of the graphite felt at different compression rates during the detection process;

[0054] controlling the CT scanning device to detect the graphite felt closed compression device when the graphite felt is at the state nodes at different compression rates to obtain fiber images of the graphite felt at different compression rates.

[0055] Optionally, the determining a change region corresponding to the graphite felt according to the plurality of fiber images comprises:

[0056] The multiple fiber images with different compression rates are compared, a change part between the multiple fiber images is determined, and a region corresponding to the change part is determined as a change region corresponding to the graphite felt.

[0057] Optionally, the performance level of the graphite felt is determined according to the change region corresponding to the graphite felt, including:

[0058] A plurality of change parameters of the graphite felt are determined according to the change region corresponding to the graphite felt.

[0059] For each change parameter, a state diagram corresponding to the change parameter is determined according to the change parameter.

[0060] A state distribution diagram of the graphite felt is determined based on the state diagrams corresponding to the plurality of change parameters respectively.

[0061] The performance level of the graphite felt is determined according to the state distribution diagram of the graphite felt.

[0062] Optionally, the plurality of change parameters of the graphite felt are determined according to the change region corresponding to the graphite felt, including:

[0063] For each change region, a region detection mode corresponding to the change region is determined according to a position, a shape and a compression rate corresponding to the change region, and a change parameter of the change region is determined according to the change region and the region detection mode corresponding to the change region.

[0064] The change parameters of all the change regions are taken as the plurality of change parameters of the graphite felt.

[0065] Optionally, the state diagram corresponding to the change parameter is determined according to the change parameter, a shape of the graphite felt and a compression rate of the graphite felt.

[0066]

[0067] Optionally, the state distribution diagram of the graphite felt is determined based on the state diagrams corresponding to the plurality of change parameters respectively, including:

[0068] The state diagrams corresponding to the plurality of change parameters respectively are placed in a same diagram frame to be synthesized, the state distribution diagram of the graphite felt is determined, and a plurality of state parameters of the graphite felt under different compression rates are marked in the state distribution diagram of the graphite felt.

[0069] Optionally, the performance level of the graphite felt is determined according to the state distribution diagram of the graphite felt, including:

[0070] ​Determine a first grade coefficient according to the state parameters of the graphite felt at different compression rates and the compression forms of the graphite felt at different compression rates;

[0071] Determine a second grade coefficient according to the state parameters of the graphite felt at different compression rates and the corresponding compression rates of the graphite felt;

[0072] Determine the performance grade of the graphite felt based on the first grade coefficient, the second grade coefficient and a preset performance grade mapping relationship.

[0073] Compared with the prior art, the present application has the following advantages:

[0074] In the embodiment of the present application, the cavity is provided with an opening, the material of the cavity is X-ray permeable material; the cover body covers the opening and is threadedly connected with the cavity; the pressing plug is located in the cavity and can reciprocate along a preset direction relative to the cavity, one end of the pressing plug along the preset direction is surrounded by the cavity to form a containing space for containing the graphite felt, the other end of the pressing plug along the preset direction is correspondingly arranged with the cover body, and the cover body can synchronously move linearly towards the pressing plug to correspondingly abut against the pressing plug or synchronously move linearly away from the pressing plug to correspondingly abut against or release the pressing plug during the rotation of the cover body relative to the cavity, so that the cover body drives the pressing plug to compress the graphite felt during the rotation process, which ensures that the graphite felt of the graphite felt closed compression device is detected at different compression rates and can realize continuous compression, and is high in convenience and clarity. BRIEF DESCRIPTION OF DRAWINGS

[0075] Figure 1 is a flowchart of the graphite felt detection method applied to the graphite felt closed compression device in the embodiment of the present application;

[0076] Figure 2 is a flowchart of step S11 in the graphite felt detection method applied to the graphite felt closed compression device in the embodiment of the present application;

[0077] Figure 3 is a flowchart of step S12 in the graphite felt detection method applied to the graphite felt closed compression device in the embodiment of the present application;

[0078] Figure 4 is a flowchart of step S13 in the graphite felt detection method applied to the graphite felt closed compression device in the embodiment of the present application;

[0079] Figure 5 is a flowchart of step S14 in the graphite felt detection method applied to the graphite felt closed compression device in the embodiment of the present application;

[0080] Figure 6This is a flowchart illustrating step S15 of the graphite felt detection method applied to a graphite felt closed compression device in an embodiment of the present invention.

[0081] Figure 7 A schematic diagram of a graphite felt closed compression device according to an embodiment of this application is shown.

[0082] Figure 8 A cross-sectional view of a graphite felt closed compression device according to an embodiment of this application is shown.

[0083] Figure 9 It shows Figure 8 A magnified view of a portion of point A in the middle.

[0084] Figure 10 A dimensioning diagram of a graphite felt enclosed compression device according to an embodiment of this application is shown.

[0085] Figure 11 A schematic diagram is shown of a graphite felt enclosed compression device according to an embodiment of the present application, wherein the surface of the pressure plug is a smooth surface.

[0086] Figure 12 A schematic diagram of the flow channel on the surface of the plug of a graphite felt closed compression device according to an embodiment of this application is shown.

[0087] Figure 13 A schematic diagram of the ribs on the surface of the plug of a graphite felt enclosed compression device according to an embodiment of this application is shown.

[0088] Figure 14 A cross-sectional view of the cavity of a graphite felt enclosed compression device according to an embodiment of this application is shown.

[0089] Figure 15 A schematic diagram of the cavity of a graphite felt enclosed compression device according to an embodiment of this application is shown.

[0090] Figure label:

[0091] 100. Graphite felt enclosed compression device;

[0092] 10. Cavity; 10a. Opening; 10b. Through hole; 11. External thread; 12. Thinned wall; 13. Guide groove;

[0093] 20. Cover body; 21. Groove body; 211. Internal thread; 22. Boss part;

[0094] 30. Pinch plug; 31. Guide arm. Detailed Implementation

[0095] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application.

[0096] Please refer to the drawings Figures 1-15 The graphite felt closed compression device 100 and the graphite felt detection method applied to the graphite felt closed compression device are provided in the embodiments of the present application, and the graphite felt closed compression device 100 detects the graphite felt under different compression rates.

[0097] Please refer to the drawings Figures 7-15 In the embodiments of the present application, the graphite felt closed compression device 100 comprises a cavity 10, a cover 20 and a compression plug 30. The cavity 10 is provided with an opening 10a, and the material of the cavity 10 is an X-ray penetrable material. The cover 20 covers the opening 10a and is threadedly connected with the cavity 10. The compression plug 30 is located in the cavity 10 and can reciprocate along a preset direction relative to the cavity 10. One end of the compression plug 30 along the preset direction and the cavity 10 form a containing space for containing the graphite felt. The other end of the compression plug 30 along the preset direction corresponds to the cover 20. During the rotation of the cover 20 relative to the cavity 10, the cover 20 can synchronously move linearly towards the compression plug 30 to correspondingly abut against the compression plug 30, or the cover 20 can synchronously move linearly away from the compression plug 30 to correspondingly abut against or release the compression plug 30, so that the cover 20 drives the compression plug 30 to compress the graphite felt during the rotation process, thereby ensuring that the graphite felt of the graphite felt closed compression device 100 is detected under different compression rates, and realizing continuous compression, high convenience and high clarity. Optionally, when the graphite felt closed compression device 100 is placed along the up-down direction, the preset direction is the up-down direction. The other end of the compression plug 30 along the preset direction corresponds to the cover 20, and the upper end of the compression plug 30 can contact the inner side wall of the cover 20 facing the cavity 10.

[0098] Please refer to the drawings Figures 7-15 In the embodiments of the present application, the cavity 10 is provided with the opening 10a, and the opening 10a is located at the upper end of the cavity 10, so that the graphite felt can enter or leave the cavity 10 through the opening 10a. The material of the cavity 10 is an X-ray penetrable material.

[0099] The cover 20 covers the opening 10a and is threadedly connected with the cavity 10, so as to adjust the up-down position of the cover 20 relative to the cavity 10.

[0100] The compression plug 30 is located in the cavity 10 and can reciprocate relative to the cavity 10 along a preset direction, one end of the compression plug 30 along the preset direction is surrounded by the cavity 10 to form a space for accommodating the graphite felt, and the other end of the compression plug 30 along the preset direction is correspondingly arranged with the cover 20. During the rotation of the cover 20 relative to the cavity 10, the cover 20 can be synchronously linearly moved towards the compression plug 30 to correspondingly abut against the compression plug 30, or the cover 20 can be synchronously linearly moved away from the compression plug 30 to correspondingly abut against or release the compression plug 30, so that the cover 20 drives the compression plug 30 to compress the graphite felt during the rotation process, and the graphite felt of the graphite felt closed compression device 100 is ensured to be detected at different compression rates.

[0101] Please refer to the accompanying drawings Figures 7-9 In the embodiment of the present application, the cover 20 includes a groove body 21 and a boss portion 22, an inner periphery of the groove body 21 is provided with an internal thread 211, and the boss portion 22 is arranged on the inner bottom surface of the groove body 21 and protrudes relative to the inner bottom surface of the groove body 21.

[0102] The cavity 10 is provided with an external thread 11 on the outer periphery of one end of the opening 10a, the external thread 11 is inserted into the groove body 21 and cooperates with the internal thread 211 to realize the threaded connection between the cover 20 and the cavity 10, so as to facilitate the adjustment of the height position of the cover 20 relative to the cavity 10 during the rotation process, the boss portion 22 is inserted into the cavity 10 along the opening 10a and abuts against the compression plug 30, so as to facilitate the boss portion 22 to drive the compression plug 30 to compress the graphite felt, and the graphite felt of the graphite felt closed compression device 100 is ensured to be detected at different compression rates.

[0103] Please refer to the accompanying drawings Figures 7-9 In the embodiment of the present application, the cavity 10 has an upper limit value mark for indicating the capacity of the graphite felt, the capacity of the graphite felt in the cavity 10 is lower than or equal to the upper limit value mark, at the initial moment when the cover 20 is threadedly engaged with the cavity 10, the cover 20 and the compression plug 30 are separated from each other or just in contact, at this moment, the preliminary limitation of the capacity is realized through the upper limit value mark, so as to intuitively compare the difference between the capacity of the graphite felt in the cavity 10 and the upper limit value mark of the capacity of the graphite felt. Optionally, the upper limit value mark refers to the height of the ink layer in the uncompressed state.

[0104] Please refer to the accompanying drawings Figure 10In the embodiment of the present application, the cavity 10 has a position mark for indicating the maximum compression position of the compression plug 30, wherein the depth a of the groove body 21, the length b of the compression plug 30 along the preset direction, the distance c between the inner bottom end of the cavity 10 and the position mark, and the distance H between the inner bottom surface of the cavity 10 and the opening 10a satisfy a+b+c>H, and the axial length of the external thread 11 is greater than or equal to the axial length of the internal thread 211, so as to facilitate the threaded engagement of the cover 20 and the cavity 10. Meanwhile, the circumferential side wall of the compression plug 30 is provided with a guide arm 31, and the inner side wall of the cavity 10 is provided with a guide groove 13, the guide arm 31 and the guide groove 13 form a guide connection structure, so as to facilitate the installation of the compression plug 30 relative to the cavity 10, and ensure the movement stability of the compression plug 30 and improve the position accuracy of the compression plug 30.

[0105] As an embodiment of the present application, in order to perform effective CT tomography scanning, the material of the cavity 10 should not have strong absorption effect on X-rays during CT scanning, that is, the material of the cavity 10 is X-ray transparent material. Optionally, the X-ray transparent material includes plastic. The material of the compression plug 30 is also plastic, and the material of the cover 20 is also plastic, so as to facilitate the scanning of the graphite felt. Further, the plastic includes acrylic and polypropylene. Optionally, when the cover 20 is designed as a 6-sided polygon, the size of the compression torque is displayed through a torque wrench with measurable torque.

[0106] In another embodiment of the present application, the material of the compression plug 30 is also the X-ray transparent material, and the X-ray transparent material is acrylic or polypropylene, so as to facilitate the scanning of the graphite felt.

[0107] In another embodiment of the present application, the material of the cover 20 is also the X-ray transparent material, and the X-ray transparent material is acrylic or polypropylene, so as to facilitate the scanning of the graphite felt.

[0108] It should be noted that the above embodiments cover 8 combinations. For example, the X-ray transparent material is acrylic, the material of the compression plug 30 is acrylic, and the material of the cover 20 is also acrylic. The X-ray transparent material is polypropylene, the material of the compression plug 30 is polypropylene, and the material of the cover 20 is also polypropylene. The X-ray transparent material is acrylic, the material of the compression plug 30 is acrylic, and the material of the cover 20 is also polypropylene. Other combinations are not listed one by one.

[0109] Please refer to the accompanying drawings Figure 11 In the embodiment of the present application, the surface of the end of the compression plug 30 close to the accommodation space is a smooth surface; so as to facilitate the compression plug 30 to exert uniform pressure on the graphite felt and ensure the consistency of the compression rate everywhere.

[0110] Please refer to the accompanying drawings Figure 12In another embodiment of the present application, the surface of the compression plug 30 near one end of the accommodation space is provided with one or more flow channels that guide the flow of graphite felt within the cavity 10. This embodiment can simulate the non-uniform compression caused by the presence of flow channels in an actual liquid flow battery.

[0111] Please refer to the attached drawings Figure 13 In another embodiment of the present application, the surface of the compression plug 30 near one end of the accommodation space is provided with one or more raised rib arrays. The rib arrays can simulate the non-uniform compression of flow channels in an actual battery, and are easier to design than flow channels and cause less interference with CT scanning.

[0112] Please refer to the attached drawings Figure 14 In another embodiment of the present application, a portion of the side wall of the cavity 10 is provided as a thinned wall 12. At least a portion of the thinned wall 12 is located to the side of the accommodation space. The thinned wall 12 is annular in appearance, and a portion of the original thickness can be symmetrically retained on the thinned wall 12 to maintain mechanical strength. Because the cavity 10 will be subjected to a large vertical normal pressure and shear force during the compression of the graphite felt, the thinned wall 12 can be optionally flush with the outer surface of the side wall of the cavity 10, or recessed relative to the outer surface of the side wall of the cavity 10, and the inner surface of the thinned wall 12 is recessed relative to the inner surface of the side wall of the cavity 10.

[0113] Please refer to the attached drawings Figure 15 In another embodiment of the present application, the side wall of the cavity 10 is provided with a through hole 10b that penetrates the side wall of the cavity 10 in the direction of the thick wall of the side wall of the cavity 10, and the through hole 10b is located to the side of the accommodation space. A film is wrapped around the outer periphery of the cavity 10, and the film seals the through hole 10b to facilitate the penetration of X-rays through the through hole 10b, so that the side wall of the cavity 10 does not cause any interference with the penetration of X-rays, greatly improving the imaging effect of CT scanning. However, the non-fully-closed structure formed after the thinned wall 12 can cause the CT scanner to be contaminated, which can be solved by wrapping a plastic film and the like in actual operation.

[0114] Please refer to the attached drawings Figures 8-15 In an embodiment of the present application, the cavity 10 includes a bottom wall and a peripheral side wall. The bottom wall is provided at one end of the peripheral side wall, and the other end of the peripheral side wall surrounds an opening 10a. The bottom wall, a portion of the peripheral side wall, and the compression plug 30 surround the accommodation space. The thickness of the bottom wall is greater than the thickness of the peripheral side wall. Based on the different stress conditions of the bottom wall and the peripheral side wall of the cavity 10, the bottom wall of the cavity 10 needs to be thicker to ensure its strength because it needs to bear more weight and pressure.

[0115] Please refer to the attached drawings Figure 6 A graphite felt detection method applied to a graphite felt closed compression device is applied to a graphite felt closed compression device. As shown in Figure 1As shown, the graphite felt detection method applied to the graphite felt closed compression device comprises:

[0116] S11: If the graphite felt is in the extrusion state, acquire the CT image of the graphite felt in the extrusion state;

[0117] S12: According to the CT image, determine the CT scanning mode of the graphite felt;

[0118] S13: According to the CT scanning mode, detect the graphite felt closed compression device to obtain a plurality of fiber images of the graphite felt; wherein the plurality of fiber images each correspond to different compression rates respectively;

[0119] S14: According to the plurality of fiber images, determine the change area corresponding to the graphite felt;

[0120] S15: According to the change area corresponding to the graphite felt, determine the performance grade of the graphite felt.

[0121] Reference Figure 2 In S11, if the graphite felt is in the extrusion state, acquire the CT image of the graphite felt in the extrusion state, that is, when the graphite felt is extruded by the compression plug, collect the CT image of the graphite felt in the extrusion state;

[0122] In the specific implementation process of the present application, the specific steps are:

[0123] S111: If the graphite felt is in the extrusion state of being extruded by the compression plug, determine the rotation angle of the cover body relative to the cavity, and determine the compression rate of the graphite felt according to the rotation angle of the cover body relative to the cavity, the specification of the compression plug and the specification of the cavity;

[0124] S112: Determine the preliminary compression form of the graphite felt according to the compression rate of the graphite felt and the model of the graphite felt;

[0125] S113: Determine the CT scanning mode corresponding to the graphite felt based on the preliminary compression form of the graphite felt and the model of the CT scanning device;

[0126] S114: Based on the CT scanning mode, control the CT scanning device to scan the graphite felt to obtain the CT image of the graphite felt in the extrusion state.

[0127] In the embodiments of the present application, the rotation angle of the cover body relative to the cavity is collected, and the compression rate of the graphite felt is determined according to the rotation angle of the cover body relative to the cavity, the specification of the compression plug and the specification of the cavity, which is compatible with the overall consideration of the rotation angle of the cover body relative to the cavity, the specification of the compression plug and the specification of the cavity, and ensures the accuracy of the compression rate of the graphite felt.

[0128] At this time, by measuring the rotation angle of the cover relative to the cavity, the compression force exerted by the compression plug on the graphite felt is indirectly reflected; the change in rotation angle is usually proportional to the size of the compression force; at this time, an angle sensor or encoder is installed on the compression device, which is connected to the cover or compression plug, and can record the change in rotation angle in real time; ensure that the sensor has sufficient accuracy and stability to accurately reflect the rotation angle; record the collected rotation angle data in the data log for subsequent analysis and processing.

[0129] Using the rotation angle of the cover relative to the cavity, the specifications of the compression plug (such as diameter, length, material, etc.) and the specifications of the cavity (such as inner diameter, height, material, etc.), the compression rate of the graphite felt is calculated; at this time, according to the specifications of the compression plug and the cavity, the initial volume or height of the graphite felt when it is not compressed is determined; according to the change in rotation angle, the compression displacement exerted by the compression plug on the graphite felt is calculated, which usually involves geometric transformation and mechanical analysis, and requires the use of mathematical models or simulation software; compare the compression displacement with the initial volume or height of the graphite felt to calculate the compression rate; the compression rate is expressed as a volume compression rate (the ratio of the compressed volume to the initial volume) or a height compression rate (the ratio of the compressed height to the initial height); record the calculated compression rate in the data log, associated with the rotation angle data.

[0130] Optionally, suppose there is a graphite felt compression device, in which the diameter of the compression plug is 100mm, the length is 200mm, and the material is acrylic; the inner diameter of the cavity is 110mm, the height is 250mm, and the material is acrylic; during the compression process, an angle sensor with an accuracy of 0.1° is installed to measure the rotation angle of the cover relative to the cavity; when the compression plug starts to compress the graphite felt, the angle sensor starts to record the change in rotation angle; suppose that during the compression process, the rotation angle increases from 0° to 30°; according to the specifications of the compression plug and the change in rotation angle, the compression displacement exerted by the compression plug on the graphite felt is calculated, which usually involves some geometric and mechanical calculations, but for simplicity, it is assumed that the compression displacement is proportional to the rotation angle; therefore, the estimated compression displacement is approximately a certain value (which depends on the specific geometric and mechanical model); suppose the initial height of the graphite felt is 240mm (slightly less than the height of the cavity to leave some space for compression); according to the calculated compression displacement and the initial height of the graphite felt, the height compression rate is calculated; for example, if the compression displacement is 10mm, the height compression rate is 10mm / 240mm ≈ 4.17%.

[0131] Further, the preliminary compression morphology of the graphite felt is determined according to the compression rate of the graphite felt and the model of the graphite felt, the CT scanning mode corresponding to the graphite felt is determined based on the preliminary compression morphology of the graphite felt and the model of the CT scanning device, and the CT scanning device is controlled to scan the graphite felt based on the CT scanning mode, so as to obtain the CT image of the graphite felt in the extrusion state. The overall consideration of the preliminary compression morphology of the graphite felt and the model of the CT scanning device is compatible, and the accuracy of the corresponding CT scanning mode is ensured.

[0132] At this time, the morphological change of the graphite felt under a certain compression rate is understood, which provides a basis for subsequent CT scanning parameter setting; at this time, a database containing the morphological changes of graphite felt of different models under different compression rates is established, and the database is obtained through experiments or simulation; the preliminary compression morphology is found or predicted in the database according to the compression rate and model of the current graphite felt, which involves the extraction of morphological parameters (such as fiber direction, density distribution, porosity change, etc.); and the preliminary compression morphology of the graphite felt is output.

[0133] The CT scanning can clearly and accurately capture the internal structure of the graphite felt in the compression state; at this time, the density change, fiber arrangement and internal structure characteristics of the graphite felt are evaluated, which will affect the visibility and resolution of CT scanning; according to the preliminary compression morphology of the graphite felt and the model of the CT scanning device (the model of the CT scanning device can reflect the type of X-ray source, detector array, reconstruction algorithm, etc.), appropriate scanning parameters are selected, including tube voltage, tube current, scanning speed, layer thickness, reconstruction filter, etc.; considering the radiation sensitivity and scanning time of the graphite felt, the scanning protocol is optimized to balance the image quality and radiation dose; the detailed parameter settings of the CT scanning mode are output, including scanning parameters and scanning protocol.

[0134] The CT scanning is actually performed to obtain the three-dimensional image of the graphite felt in the extrusion state; at this time, the graphite felt sample is ensured to be in a stable compression state and correctly placed in the scanning area of the CT scanning device; the CT scanning mode parameters determined in the above are set on the control interface of the CT scanning device; the CT scanning device is started, and the graphite felt is scanned according to the set scanning protocol; the graphite felt is ensured to be stationary during the scanning to avoid motion artifacts; the CT scanning device outputs the three-dimensional CT image data of the graphite felt in the extrusion state.

[0135] Specifically, assume that there is a graphite felt of model "GF-A" with a compression rate of 10% (calculated in step S111); a CT scanning device of model "Scanner-X" is used, which has a high-energy X-ray source and an advanced detector array; the morphological changes of the graphite felt of model GF-A under a compression rate of 10% are looked up or predicted in the database; assume that the database shows that, under a compression rate of 10%, the fiber direction of GF-A changes slightly, the density distribution is more uniform, and the porosity decreases slightly; according to the preliminary compressed morphology of GF-A and the model characteristics of Scanner-X, a relatively high tube voltage (such as 120 kV) is selected to penetrate the denser graphite felt structure, a relatively low tube current is selected to reduce the radiation dose, a relatively thin layer thickness (such as 0.5 mm) is selected to improve the resolution, and a reconstruction filter suitable for uniform density distribution is selected; place the GF-A sample in the scanning area of Scanner-X, and start scanning according to the set scanning parameters (tube voltage 120 kV, tube current moderate, layer thickness 0.5 mm, etc.); after scanning is completed, Scanner-X outputs the three-dimensional CT image data of GF-A under a compression rate of 10%.

[0136] Reference Figure 3 In S12, the CT scanning mode of the graphite felt can be determined according to the CT image. Specifically, a plurality of morphological characteristics of the graphite felt can be determined according to the CT image, and the CT scanning mode of the graphite felt can be determined according to the plurality of morphological characteristics, the detection position of the graphite felt, and the specification information of the graphite felt.

[0137] In the specific implementation process of the present application, the specific steps are as follows:

[0138] S121: divide the CT image into a plurality of morphological regions;

[0139] S122: for each morphological region, identify the morphological region to determine the morphological characteristics of the morphological region;

[0140] S123: determine a plurality of morphological characteristics of the graphite felt by using the morphological characteristics corresponding to the plurality of morphological regions respectively;

[0141] S124: determine a first mode coefficient according to the plurality of morphological characteristics and the detection position of the graphite felt;

[0142] S125: determine a second mode coefficient according to the plurality of morphological characteristics and the model of the graphite felt;

[0143] S126: determine the CT scanning mode of the graphite felt based on the first mode coefficient, the second mode coefficient, and a preset CT scanning mode matching table. The CT scanning mode includes one of the following modes: a local detection scanning mode, a whole detection scanning mode, or a directional detection scanning mode.

[0144] In the embodiments of the present application, CT images are collected, a plurality of morphological regions are determined according to the division of the CT images, and a plurality of morphological features of the graphite felt are determined according to the identification of the plurality of morphological regions, which is compatible with the overall consideration of the identification of the plurality of morphological regions, and ensures the accuracy of the plurality of morphological features of the graphite felt.

[0145] At this time, detailed image data of the internal structure of the graphite felt is obtained through CT scanning technology; at this time, the graphite felt sample is scanned using a high-resolution CT scanning device; it is ensured that the scanning parameters (such as tube voltage, tube current, scanning speed, etc.) have been optimized according to the characteristics of the graphite felt and the detection requirements; a series of two-dimensional slice images or three-dimensional reconstruction images are obtained, which show the structural details inside the graphite felt.

[0146] The CT images are divided into different morphological regions for subsequent independent analysis of each region.

[0147] Method: At this time, the CT images are preprocessed such as filtering, denoising, etc. to improve the image quality; image segmentation algorithms (such as threshold segmentation, edge detection, region growing, etc.) are used to divide the images into different morphological regions, which are divided based on pixel intensity, texture, shape, etc. characteristics; a plurality of morphological regions after division are obtained, each region represents the part of the graphite felt with similar characteristics inside.

[0148] For each morphological region, the morphological region is identified to determine the morphological features of the morphological region. Specifically, feature extraction and analysis are performed on each morphological region to determine a plurality of morphological features of the graphite felt; at the same time, for each morphological region, the morphological features of the morphological region are extracted, such as region size, shape, density distribution, porosity, fiber direction, etc. These morphological features of the morphological region are automatically extracted through image processing algorithms or special software; the extracted morphological features of the morphological region are analyzed and compared to identify the structural differences and potential problems inside the graphite felt; finally, the plurality of morphological features of the graphite felt are determined by the plurality of morphological features of the plurality of morphological regions respectively corresponding to the plurality of morphological regions, so that a plurality of morphological features of the graphite felt are obtained, which include numerical features (such as density, porosity) and geometric features (such as shape, fiber direction).

[0149] Specifically, assuming there is a graphite felt sample, in order to evaluate the uniformity of its internal structure and potential defects, CT scanning is performed; CT images are collected: using high-resolution CT scanning equipment, the graphite felt sample is scanned to obtain a series of two-dimensional slice images (i.e. CT images), which show the details of the fiber structure, pore distribution, etc. inside the graphite felt; the CT images are preprocessed and segmented; through threshold segmentation algorithm, the image is divided into high-density area (fiber dense part), low-density area (pore or defect part) and medium-density area (transition part of fiber and pore); feature extraction and analysis are performed on each morphological area; in the high-density area, the diameter, direction and arrangement density of the fiber are measured; in the low-density area, the size, shape and distribution density of the pores are calculated; in the medium-density area, the transition of fiber and pore is analyzed; through these morphological features, the uniformity of the graphite felt, the regularity of the fiber arrangement and the existence and distribution of potential defects are evaluated.

[0150] Further, the detection positions of the graphite felt are collected, the first mode coefficient is determined according to the plurality of morphological features and the detection positions of the graphite felt, and the second mode coefficient is determined according to the plurality of morphological features and the model of the graphite felt, which is compatible with the overall consideration of the plurality of morphological features and the detection positions of the graphite felt, and ensures the accuracy of the first mode coefficient.

[0151] At this time, the detection positions of the graphite felt are collected, which are potential defects, abnormal structures or key performance areas; at this time, through the visual analysis of the CT images, the key detection positions in the graphite felt are manually marked, which are marked based on the abnormal density, shape change or other significant features in the image; the marked detection positions are recorded in the image coordinate system or the physical coordinate system for subsequent analysis and reference; the coordinates and descriptions of the key detection positions in the graphite felt are obtained.

[0152] Combining the morphological features and detection position information of the graphite felt, a mode coefficient reflecting the importance of local characteristics is calculated; at this time, the morphological features (such as density, porosity, fiber direction, etc.) near the detection position are integrated to form a feature vector; according to the contribution degree of the feature to the importance of the detection position, each feature is assigned a weight, which is based on experience, experimental data or expert judgment; through weighted summation or other appropriate algorithms, the first mode coefficient is calculated, which reflects the importance of the characteristics of the detection position and its surrounding area to the overall evaluation; the specific value of the first mode coefficient is obtained.

[0153] In combination with the morphological characteristics and model information of the graphite felt, a mode coefficient reflecting the overall structure and model characteristics is calculated; at this time, key features are extracted from the model information of the graphite felt, including material composition, manufacturing process, and intended use; the extracted morphological characteristics (such as density distribution, pore structure, etc.) are fused with the model characteristics to form a comprehensive feature set; a second mode coefficient is calculated based on the comprehensive feature set, which reflects the influence of the overall structure and model characteristics of the graphite felt on the evaluation result; and the specific value of the second mode coefficient is obtained.

[0154] Specifically, assuming that there is a graphite felt sample, several key detection positions are determined through CT scanning and analysis, and relevant morphological characteristics are extracted; in the CT image, two potential defect positions (such as pore aggregation area and fiber fracture area) are manually marked and their coordinates are recorded; for each detection position, the nearby morphological characteristics (such as porosity, fiber direction change, etc.) are integrated, and weights are assigned according to the importance of these characteristics to the thermal management performance; through a weighted summation algorithm, the first mode coefficients of the two detection positions are calculated, which reflect the importance of the two detection positions to the overall thermal management performance.

[0155] In combination with the model information of the graphite felt (such as unique material composition and manufacturing process), model characteristics are extracted and fused with morphological characteristics; using machine learning algorithms (such as support vector machines or random forests), a model is trained based on the comprehensive feature set, and a second mode coefficient is calculated, which reflects the influence of the overall structure and model characteristics of the graphite felt on the thermal management performance evaluation; through these steps, two mode coefficients are obtained, which together provide important basis for the performance evaluation and subsequent processing of the graphite felt, and these coefficients are used to guide further detection, analysis or optimization measures.

[0156] Therefore, the CT scanning mode of the graphite felt is determined based on the first mode coefficient, the second mode coefficient, and the CT scanning mode matching table, which is local detection, overall detection, or directional detection, and the CT scanning mode is compatible with the overall consideration of the first mode coefficient, the second mode coefficient, and the CT scanning mode matching table, ensuring the accuracy of the CT scanning mode of the graphite felt.

[0157] At this time, a matching table is created to determine the most suitable CT scan mode based on the first mode coefficient, the second mode coefficient, and other factors such as the model of the graphite felt, the intended detection target, etc. At this time, first, it is clear which factors will be used in the matching process, including the first mode coefficient, the second mode coefficient, the model of the graphite felt, and the intended detection target (such as defect detection, structure analysis, performance evaluation, etc.). The structure of the matching table is designed according to the matching factors, usually including one or more dimensions (such as coefficient range, model classification, detection target, etc.) and corresponding scan modes (such as local detection scan mode, overall detection scan mode, or directional detection scan mode, etc.). Based on experimental data, each entry in the CT scan mode matching table is filled with the corresponding scan mode, which requires multiple iterations and adjustments to ensure the accuracy and practicality of the CT scan mode matching table, resulting in a complete CT scan mode matching table.

[0158] According to the CT image and model information of the graphite felt, the first mode coefficient and the second mode coefficient are calculated. At this time, based on the detection position and morphological characteristics of the graphite felt, an appropriate algorithm or model is used to calculate the first mode coefficient, which reflects the importance of the detection position and its vicinity to the overall evaluation. At the same time, combined with the morphological characteristics and model information of the graphite felt, machine learning algorithms, statistical models or expert systems are used to calculate the second mode coefficient, which reflects the influence of the overall structure and model characteristics of the graphite felt on the evaluation results. The specific values of the first mode coefficient and the second mode coefficient are obtained.

[0159] According to the calculated first mode coefficient and second mode coefficient, and the CT scan mode matching table, the most suitable CT scan mode is determined. At this time, the entry that best matches the first mode coefficient and the second mode coefficient in the CT scan mode matching table is found, which requires interpolation, approximate matching or other algorithms to handle incomplete matching situations. According to the matching result, the corresponding CT scan mode is selected from the CT scan mode matching table, which includes local detection (focusing on specific areas or defects), overall detection (comprehensive evaluation of the structure and performance of the graphite felt), or directional detection (scanning in a specific direction or layer). The determined CT scan mode and its related parameters (such as scan range, resolution, scan speed, etc.) are obtained.

[0160] Specifically, assume there is a graphite felt sample with model GF-XYZ. Through previous steps, the first pattern coefficient (0.85, indicating that the key detection position is relatively important) and the second pattern coefficient (0.70, indicating that the overall structure and model characteristics of the graphite felt have a significant impact on the evaluation results) have been calculated; a matching table is designed based on experience, which includes the first pattern coefficient range (0-1), the second pattern coefficient range (0-1), the graphite felt model classification (such as GF-XYZ, other models), and the expected detection target (such as defect detection, structure analysis); for each entry, the most suitable CT scan mode is determined according to these factors; the first pattern coefficient (0.85) and the second pattern coefficient (0.70) have been obtained, and it is known that the model of the graphite felt is GF-XYZ, and the expected detection target is defect detection and structure analysis.

[0161] In the CT scan mode matching table, find the entry that best matches the first pattern coefficient (0.85) and the second pattern coefficient (0.70); since both coefficients are high, a corresponding entry is found, which suggests using a local detection mode and paying special attention to the area near the key detection position in the graphite felt; in addition, since the model of the graphite felt is GF-XYZ, the scan parameters are also adjusted according to the model characteristics to ensure that existing defects can be accurately detected and the structure characteristics of the graphite felt can be comprehensively analyzed; through these steps, the most suitable CT scan mode for the graphite felt sample and its related parameters are finally determined, providing an important basis for subsequent detection and analysis.

[0162] In some embodiments of the present application, a pre-designed CT scan mode matching table is assumed, which determines the most suitable scan mode based on the first pattern coefficient, the second pattern coefficient, and the specific attributes of the graphite felt (such as model, purpose, etc.); the CT scan mode matching table is shown in Table 1:

[0163] Table 1 CT scan mode matching table

[0164]

[0165] Now, assume that there is a graphite felt sample with a first mode coefficient of 0.75 and a second mode coefficient of 0.8, and the model is GF-ABC; according to the matching table, find the first mode coefficient range: 0.75 falls within the range of 0.5 ~ 0.8, but also close to the range of 0.9 ~ 1.0; however, since the matching table usually follows the principle of the most specific match, first consider the range of 0.5 ~ 0.8; find the second mode coefficient range: 0.8 falls within the range of 0.7 ~ 1.0; consider the graphite felt model: the sample model is GF-ABC; according to the matching table, when the first mode coefficient is within the range of 0.5 - 0.8, the second mode coefficient is within the range of 0.7 - 1.0, and the model is GF-ABC, the most appropriate scanning mode is directional detection; therefore, according to the matching table, the CT scanning mode of the graphite felt sample is determined to be directional detection.

[0166] Reference Figure 4 In S13, the graphite felt closed compression device is detected according to the CT scanning mode, and a plurality of fiber images of the graphite felt are obtained;

[0167] In the specific implementation process of the present application, the specific steps are:

[0168] S131: based on the CT scanning mode, control the CT scanning device to detect the graphite felt closed compression device;

[0169] S132: during the detection process, determine the state nodes of the graphite felt at different compression rates;

[0170] S133: control the CT scanning device to detect the graphite felt closed compression device when the graphite felt is at different compression rate state nodes, and obtain fiber images of the graphite felt at different compression rates.

[0171] In the embodiments of the present application, the CT scanning mode is collected, the detection of the graphite felt closed compression device by the CT scanning device is triggered based on the CT scanning mode, and the corresponding fiber images during the detection process are introduced.

[0172] At this time, the detailed information of the CT scanning mode is obtained from the previous steps or preset configuration, which will guide the CT scanning device how to detect the graphite felt closed compression device; at the same time, according to the collected CT scanning mode information, the CT scanning device is configured to ensure that it can detect according to the predetermined mode; at this time, the scanning range, resolution, X-ray energy and other parameters in the CT scanning mode are input into the control system of the CT scanning device; according to the requirements of the scanning mode, select the appropriate image reconstruction algorithm to obtain high-quality fiber images; the CT scanning device has been configured according to the predetermined scanning mode.

[0173] Start the CT scanning device to detect the graphite felt placed in the closed compression device and capture corresponding fiber images; at this time, start the scanning program in the control system of the CT scanning device; ensure that the graphite felt has been correctly placed in the closed compression device and that the device has been closed and fixed; trigger the CT scanning device to start the scanning process while monitoring the scanning progress and image quality; obtain a set of fiber images of the graphite felt in the closed compression device.

[0174] Specifically, assuming that a new type of graphite felt material is being studied and its fiber structure changes under different compression states need to be evaluated; the CT scanning mode has been pre-determined as "high-resolution local scanning" based on the characteristics of the graphite felt and the detection target, which focuses on the fiber structure of a specific area of the graphite felt and provides high-definition images; detailed information of the "high-resolution local scanning" mode is read from the preset configuration, including a specific cubic volume of the graphite felt center area as the scanning range, a resolution of 0.1 millimeters, an X-ray energy of 120 kilovolts, etc.; these parameters are input into the control system of the CT scanning device, and a reconstruction algorithm suitable for high-resolution images is selected.

[0175] Place the new type of graphite felt material in the closed compression device and adjust the device to reach the initial compression state of interest; then, start the CT scanning device to detect the graphite felt according to the "high-resolution local scanning" mode; during the scanning process, monitor the scanning progress and image quality to ensure that clear fiber images are obtained; finally, a series of high-resolution fiber images of the graphite felt under different compression states in the closed compression device are obtained, which will be used for subsequent structural analysis and performance evaluation.

[0176] Further, the rotation of the cover relative to the cavity in the graphite felt closed compression device is monitored in real time, and the state nodes of the graphite felt under different compression rates are determined. In the state nodes of the graphite felt under different compression rates, the CT scanning device detects the graphite felt closed compression device to collect fiber images of the graphite felt under different compression rates. The collection of multiple fiber images of the graphite felt under different compression rates is introduced.

[0177] At this time, by monitoring the rotation state of the cover in the device, the accuracy and controllability of the compression process are ensured, and it also serves as one of the signals to trigger the CT scanning; at this time, a rotation sensor is installed on the cover or cavity of the graphite felt closed compression device to monitor the rotation angle or position of the cover in real time; the sensor transmits real-time data to the control system, which processes the data to determine whether the rotation state of the cover meets the expectations; obtain real-time data of the cover rotation and state judgment results based on these data.

[0178] According to the experimental design or research needs, determine the key compression rate nodes of the graphite felt during the compression process that need to collect fiber images; At this time, according to the characteristics of the graphite felt and the research target, set a series of compression rate gradients, such as 10%, 20%, 30%, etc.; According to the compression rate gradient and the initial state of the device, calculate the rotation position of the cover or the compression force required to reach each compression rate; Get the state node list of the graphite felt under different compression rates, including the compression rate of each node and the corresponding cover rotation position or compression force.

[0179] When the graphite felt reaches each preset compression rate state node, trigger the CT scanning device to detect to collect fiber images under the corresponding compression rate; At this time, when the cover of the graphite felt closed compression device rotates to the preset state node position, the control system sends a synchronization signal to the CT scanning device; After receiving the synchronization signal, the CT scanning device immediately starts the scanning program and performs fast and high-quality CT scanning on the graphite felt; After scanning, the control system automatically collects fiber images and performs necessary preprocessing, such as denoising, contrast enhancement, etc.; Get the fiber images of the graphite felt under different compression rates, and each fiber image under a compression rate contains multiple images collected from different angles or layers at that compression rate.

[0180] Specifically, suppose we are studying the fiber structure changes of graphite felt materials during the compression process to evaluate their mechanical properties; A series of compression rate gradients are set, including 10%, 20%, 30%, 40% and 50%, and it is planned to collect fiber images of the graphite felt when each compression rate is reached; A rotation sensor is installed on the cover of the compression device and connected to the control system; During the compression process, the sensor transmits the rotation data of the cover to the control system in real time, and the control system judges whether the rotation state of the cover meets the expectations; According to the set compression rate gradient, calculate the rotation position of the cover when each compression rate is reached; For example, when the compression rate reaches 10%, the cover should rotate to a certain angle; When it reaches 20%, rotate to another angle, and so on.

[0181] When the cover of the graphite felt closed compression device rotates to the preset state node position, the control system automatically sends a synchronization signal to the CT scanning device; After receiving the signal, the CT scanning device immediately starts the scanning program and performs fast scanning on the graphite felt; After scanning, the control system automatically collects fiber images and performs preprocessing; Get the fiber image set of the graphite felt under 10%, 20%, 30%, 40% and 50% compression rates, each set contains images collected from different angles or layers at that compression rate, which will be used for subsequent structure analysis and performance evaluation to help understand the fiber structure changes of the graphite felt during the compression process and the relationship between them and the mechanical properties.

[0182] In some embodiments of the present application, a compression rate matching table is used to associate the cover rotation state (or compression force, displacement, or other measurable indicators) with the preset compression rate state nodes; the compression rate matching table is shown in Table 2:

[0183] Table 2 Compression rate matching table

[0184]

[0185] In actual operation, when the cover of the graphite felt closed compression device is rotated to the angle range specified in the matching table (or reaches the corresponding compression force / displacement range), the control system will determine whether to start the CT scanning device for image acquisition according to the judgment in the "whether to trigger CT scanning" column.

[0186] Reference Figure 5 In S14, according to the plurality of fiber images, the change region corresponding to the graphite felt is determined.

[0187] In the specific implementation process of the present application, S14 specifically includes the following steps, which are as follows:

[0188] S141: comparing a plurality of fiber images with different compression rates, determining the change part between the plurality of fiber images, and determining the region corresponding to the change part as the change region corresponding to the graphite felt;

[0189] In the embodiments of the present application, a plurality of fiber images under different compression rates are collected, the plurality of fiber images under different compression rates are compared, the change part is determined based on the comparison of the plurality of fiber images under different compression rates, and the region corresponding to the change part is determined as the change region corresponding to the graphite felt, which comprehensively considers the region detection of the change part and guarantees the accuracy of the corresponding change region.

[0190] At this time, the fiber structure images of the graphite felt under different compression states are obtained, providing basic data for subsequent comparison and analysis; by comparing the fiber images under different compression rates, the region where the fiber structure changes significantly is identified; at this time, the collected fiber images are preprocessed, such as denoising, enhancing contrast, etc., to improve the image quality; the preprocessed images are superimposed or displayed side by side for intuitive comparison; through automatic algorithm, the region where the fiber density, direction, morphology, etc. change significantly is identified; a comparison report or image set marked with the significantly changed region is obtained.

[0191] According to the comparison result, the specific area of the fiber structure change of the graphite felt under different compression rates is accurately determined; at this time, the image marked with the significantly changed area is further analyzed to determine the specific position, size and morphology of the changed area; according to the characteristics of the changed area, such as whether it presents regularity, whether it is concentrated in a specific area, etc., the changed area is classified and named; a report or data set containing detailed information of the changed area of the graphite felt under different compression rates is obtained,

[0192] Specifically, assuming that the fiber structure change of a new type of graphite felt material during compression is being studied; the fiber images of the graphite felt under 0%, 10%, 20%, 30% and 40% compression rates have been collected using a high-resolution CT scanning device according to the previous steps; five groups of fiber images are obtained, each image corresponding to a specific compression rate, which clearly shows the fiber structure of the graphite felt under different compression states; the images are preprocessed using image processing software and compared by side-by-side display; through careful observation, it is found that with the increase of compression rate, the fiber density in the central region of the graphite felt gradually increases, while the fiber direction in the edge region deflects; these significantly changed areas are marked; further analysis of the images marked with the changed areas determines that the central region is the main area of fiber density change, while the edge region is the main area of fiber direction change; the specific position, size and morphology of these changed areas are also measured, and the relevant information is recorded; through these steps, the specific areas of the fiber structure change of the graphite felt under different compression rates are successfully determined, providing an important basis for subsequent analysis and research.

[0193] Reference Figure 6 In S15, the performance grade of the graphite felt is determined according to the changed area corresponding to the graphite felt.

[0194] As an embodiment of the present application, S15 includes the following steps, specifically:

[0195] S151: Determine a plurality of change parameters of the graphite felt according to the changed area corresponding to the graphite felt. For example, for each changed area, determine the area detection mode corresponding to the changed area according to the position, morphology and compression rate corresponding to the changed area, determine the change parameter of the changed area according to the changed area and the area detection mode corresponding to the changed area; and take the change parameters of all changed areas as the plurality of change parameters of the graphite felt.

[0196] S152: For each change parameter, determine the state diagram corresponding to the change parameter according to the change parameter.

[0197] For example, determine the state diagram corresponding to the change parameter according to the change parameter, the morphology of the graphite felt and the compression rate of the graphite felt.

[0198] S153: Determine the state distribution map of the graphite felt based on the state schematic diagram corresponding to each of the plurality of change parameters.

[0199] For example, the state schematic diagrams corresponding to each of the plurality of change parameters are placed in the same schematic framework for synthesis to determine the state distribution map of the graphite felt, and the plurality of state parameters of the graphite felt under different compression ratios are marked in the state distribution map of the graphite felt.

[0200] S154: Determine the performance grade of the graphite felt according to the state distribution map of the graphite felt.

[0201] For example, a first grade coefficient is determined according to the plurality of state parameters of the graphite felt under different compression ratios and the compression forms of the graphite felt under different compression ratios; a second grade coefficient is determined according to the plurality of state parameters of the graphite felt under different compression ratios and the plurality of compression ratios corresponding to the graphite felt; and the performance grade of the graphite felt is determined based on the first grade coefficient, the second grade coefficient, and a preset performance grade mapping relationship.

[0202] Further, in each change region, a corresponding region detection mode is determined based on the position, form, and corresponding compression ratio of the change region, and the plurality of change parameters of the graphite felt are determined according to each change region and the region detection mode corresponding to the change region, which comprehensively considers each change region and the corresponding region detection mode, and ensures the accuracy of the plurality of change parameters of the graphite felt.

[0203] At this time, according to the position, form, and corresponding compression ratio of the change region, a suitable detection mode is selected to accurately capture and analyze the change characteristics of the region; at this time, the position distribution of the change region is analyzed to determine whether it is a local change or a global change, and whether the change is concentrated in a specific region; the form of the change region is observed, such as the arrangement direction of the fibers, whether the density change is uniform, etc.; the relationship between the change and the compression degree is understood in combination with the compression ratio information; based on the above analysis, a suitable detection mode is selected, such as local region of interest (ROI) analysis, global statistical analysis, directional analysis, etc.; a suitable detection mode is determined for each change region.

[0204] Under the determined detection mode, parameters that can quantitatively describe the change of the fiber structure of the graphite felt are extracted; at this time, for local ROI analysis, parameters such as fiber density, fiber diameter, fiber direction angle, etc. are extracted; for global statistical analysis, statistical indicators such as the average value and standard deviation of the fiber density of the entire region are calculated; for directional analysis, the deflection angle and direction consistency of the fiber direction are measured; according to the needs of the detection mode, a suitable image processing algorithm or tool is selected for parameter extraction; a series of quantitative parameters describing the change of the fiber structure of the graphite felt under different compression ratios are obtained.

[0205] Specifically, assuming that a study is being conducted on the changes in the fiber structure of graphite felt during compression, several key change regions have been identified through previous steps; it is found that in the central region of the graphite felt, the fiber density increases significantly with increasing compression ratio, and this change is localized and concentrated in the central region; therefore, local ROI analysis is selected as the detection mode for this region; in the edge region, the fiber direction has undergone significant deflection, and this deflection is relatively consistent throughout the edge region; therefore, directional analysis is selected as the detection mode for this region.

[0206] For local ROI analysis of the central region, fiber density is extracted as the key parameter, and image processing algorithms are used to calculate the fiber density values of the central region at different compression ratios; for directional analysis of the edge region, the deflection angle of the fiber direction is measured, and the average value and standard deviation of the deflection angle are calculated to quantitatively describe the degree of change in the fiber direction; through these steps, not only is the detection mode suitable for each change region determined, but a series of parameters that can quantitatively describe the changes in the fiber structure of graphite felt are also extracted, providing important data support for subsequent analysis and research.

[0207] Therefore, multiple change parameters are collected, and a corresponding state diagram is determined based on the multiple change parameters, the morphology of the graphite felt, and the compression ratio of the graphite felt, which takes into account the overall consideration of the multiple change parameters, the morphology of the graphite felt, and the compression ratio of the graphite felt, ensuring the accuracy of the corresponding state diagram.

[0208] At this time, all parameters related to the changes in the fiber structure of graphite felt determined in the previous steps are summarized to provide data support for drawing the state diagram; at this time, all parameters related to the changes in the fiber structure of graphite felt at different compression ratios are collected from the previous analysis, such as fiber density, fiber direction deflection angle, and morphology changes; ensure that each parameter is associated with a specific compression ratio and graphite felt morphology, and is recorded; a database or data table containing all change parameters.

[0209] Combine the collected change parameters with the morphology of the graphite felt and the compression ratio, analyze and determine the characteristics of the graphite felt under different compression states; at this time, statistical analysis is performed on the change parameters, such as calculating the mean and standard deviation, to understand the trend of the parameters with the compression ratio; combine the original morphology of the graphite felt to analyze the impact of parameter changes on the overall structure of the graphite felt; based on the analysis results, determine the typical state characteristics of the graphite felt under different compression ratios; an analysis report describing the characteristics of the graphite felt under different compression states.

[0210] According to the analysis results, a state diagram that can intuitively show the changes in the fiber structure of the graphite felt under different compression states is drawn. At this time, a suitable drawing tool or software, such as CAD, Photoshop, etc., is selected. According to the original morphology and compression rate of the graphite felt, the outline of the graphite felt under different states is drawn. In the diagram, different colors, lines or patterns are used to represent the changes in the fiber structure, such as the increase in fiber density, the deflection of fiber direction, etc. Necessary annotations and explanations are added so that the reader can accurately understand the information expressed in the diagram. A state diagram showing the changes in the fiber structure of the graphite felt under different compression states is output.

[0211] Specifically, suppose a study is being conducted on the changes in the fiber structure of the graphite felt during compression, and several key change parameters have been determined through previous steps. The fiber density, fiber direction deflection angle, etc. of the graphite felt under different compression rates (such as 0%, 10%, 20%, 30%, 40%) are collected, which are related to specific compression rates and graphite felt morphology and are recorded. Statistical analysis of the collected parameters shows that as the compression rate increases, the fiber density in the central region of the graphite felt gradually increases, while the fiber direction in the edge region deflects. Combined with the original morphology of the graphite felt, the typical state characteristics of the graphite felt under different compression rates are determined, such as the increase in fiber density in the central region, the deflection angle of fiber direction in the edge region, etc.

[0212] CAD software is selected as the drawing tool. According to the original morphology and compression rate of the graphite felt, the outline of the graphite felt under different states is drawn. In the diagram, different colors are used to represent the changes in fiber density, such as darker colors representing higher fiber density. At the same time, arrows are used to represent the deflection of fiber direction, with the direction of the arrow representing the direction of deflection and the length of the arrow representing the degree of deflection. Finally, necessary annotations and explanations are added to the diagram, such as compression rate, fiber density change range, fiber direction deflection angle, etc. so that the reader can accurately understand the information expressed in the diagram. Through these steps, a state diagram showing the changes in the fiber structure of the graphite felt under different compression states is successfully drawn, providing intuitive visual support for subsequent analysis and research.

[0213] In some embodiments of the present application, a schematic diagram matching table is collected, as shown in Table Three:

[0214] Table Three Schematic Diagram Matching Table

[0215]

[0216] In the embodiments of the present application, a plurality of state diagrams are collected, the plurality of state diagrams are placed in the same diagram frame, and synthesis is performed in the diagram frame to determine a state distribution diagram of the graphite felt. The state distribution diagram of the graphite felt marks a plurality of state parameters of the graphite felt under different compression rates. The plurality of state parameters of the graphite felt under different compression rates are marked in the state distribution diagram of the graphite felt.

[0217] At this time, a plurality of state diagrams of the graphite felt under different compression rates are obtained from previous analysis or experiments. These diagrams should clearly show the fiber structure, density, direction and other key features of the graphite felt under different compression states. All collected state diagrams are integrated into a unified diagram frame for synthesis and comparison. At this time, a suitable drawing software or tool such as Photoshop, Illustrator or CAD is selected. A new working area or canvas is created as a diagram frame. The size, scale and position of the diagram are adjusted as needed to ensure that they are neatly arranged in the frame while maintaining their own details and clarity. A unified diagram frame containing all state diagrams is output.

[0218] In the diagram frame, each state diagram is synthesized to form a whole state distribution diagram, which should intuitively show the state changes of the graphite felt under different compression rates. At this time, the synthesis or layer superposition function in the drawing software is used to merge each state diagram into a whole image. During the synthesis process, the relative position and scale relationship between each diagram are maintained to ensure the accuracy and readability of the state distribution diagram. The transparency, color or contrast and other parameters are adjusted as needed to enhance the visual effect of the state distribution diagram. A synthesized state distribution diagram of the graphite felt is output.

[0219] In the state distribution diagram, a plurality of key state parameters of the graphite felt under different compression rates are marked, such as fiber density, direction deflection angle, morphological change degree, etc. These parameters will provide an important basis for subsequent performance evaluation. At this time, the text or annotation tool in the drawing software is used to add necessary text description or arrow indication on the state distribution diagram. Each state parameter is clearly and accurately marked and associated with the corresponding diagram area. Color coding or symbol marking is added as needed to more intuitively show the differences and trends between different parameters. A state distribution diagram of the graphite felt marked with a plurality of key state parameters is output.

[0220] Specifically, assume that a study on the compression performance of graphite felt is being conducted, and the state diagrams of graphite felt under different compression rates (such as 0%, 10%, 20%, and 30%) have been obtained through previous steps; four state diagrams that can represent the state of graphite felt under different compression rates are selected from the previous experimental results, and these state diagrams clearly show the fiber structure, density, and direction of graphite felt under different compression rates; a new working area is created as a diagram frame using Photoshop software, and the four state diagrams are arranged in the frame in the order of compression rate; by adjusting the size and scale relationship of the diagrams, their neat arrangement and clear display in the frame are ensured.

[0221] In Photoshop, the four state diagrams are merged into a whole image using the layer overlay function; during the synthesis process, the relative positions and scale relationships between the diagrams are maintained, and parameters such as transparency and contrast are adjusted to enhance the visual effect; finally, a synthesized state distribution diagram of graphite felt is obtained, i.e., the state distribution diagram of graphite felt is determined; on the state distribution diagram, necessary text explanations and arrow indications are added using the text tool to mark key state parameters; for example, in the diagram under 0% compression rate, the original fiber density and direction are marked; in the diagram under 10% compression rate, the slight increase in fiber density and the small deflection of the direction are marked; through these markings, the state changes of graphite felt under different compression rates and their key parameters can be intuitively displayed.

[0222] Further, the compression morphology of the graphite felt is collected, and the first grade coefficient is determined according to the plurality of state parameters and the compression morphology of the graphite felt, which comprehensively considers the plurality of state parameters and the compression morphology of the graphite felt, ensuring the accuracy of the first grade coefficient.

[0223] At this time, the actual morphology data of graphite felt under different compression conditions is obtained, which will be used for subsequent analysis and grade evaluation; review and analyze the plurality of state parameters (such as fiber density, direction deflection angle, and morphology change degree) collected in the previous steps, which will be used to evaluate the performance of graphite felt during compression; at this time, all state parameter data is sorted and summarized to ensure the accuracy and completeness of the data; each parameter is analyzed separately to understand its change trend and influence on performance during the compression process of graphite felt; if necessary, statistical analysis methods (such as correlation analysis and regression analysis) are used to further explore the relationship between the state parameters and their comprehensive influence on the performance of graphite felt; output the analysis report of the state parameters, which includes the change trend, mutual relationship, and influence evaluation of the parameters on the performance of graphite felt.

[0224] Based on the compression morphology data of the graphite felt and the analysis results of the multiple state parameters, a first grade coefficient is determined for the compression performance of the graphite felt, that is, the first grade coefficient is determined according to the multiple state parameters of the graphite felt under different compression rates and the compression morphology of the graphite felt under different compression rates, and the first grade coefficient will reflect the structural stability and performance of the graphite felt in the compression process; at this time, a grade evaluation standard or criterion is formulated according to the experimental requirements and industry standards, and the standard is formulated based on the morphology change of the graphite felt, the change range of the state parameters or the comprehensive performance; the compression morphology data and the analysis results of the state parameters of the graphite felt are compared with the grade evaluation standard to determine the grade range to which the graphite felt belongs; within the grade range, a specific first grade coefficient is assigned to the graphite felt according to its specific performance (such as morphology retention ability, fiber structure stability, etc.), and the coefficient is in the form of numerical value, letter or symbol, depending on the design and requirements of the grade evaluation system; the first grade coefficient of the graphite felt is outputted to represent its performance grade in the compression process.

[0225] Specifically, it is assumed that an experimental study on the compression performance evaluation of graphite felt is being conducted; the morphology data and multiple state parameters of the graphite felt under different compression rates have been collected through previous steps; the morphology change of the graphite felt after being subjected to different compression forces (such as 10%, 20%, 30% compression rate) is recorded using a digital microscope; the thickness change, fiber structure arrangement and density of the graphite felt are focused on, and the corresponding data are recorded; the data of the fiber density, direction deflection angle and other state parameters collected in the previous steps are reviewed; through comparative analysis, it is found that with the increase of the compression rate, the fiber density of the graphite felt gradually increases, and the direction deflection angle also gradually increases; at the same time, statistical analysis method is used to explore the relationship between these state parameters and their comprehensive influence on the performance of the graphite felt.

[0226] Determination of the first grade coefficient: according to the experimental requirements and industry standards, a grade evaluation standard based on the morphology change of the graphite felt and the performance of the state parameters is formulated; the compression morphology data and the analysis results of the state parameters of the graphite felt are compared with the grade evaluation standard, and it is found that the graphite felt can still maintain good morphology stability and fiber structure integrity when subjected to higher compression rate; therefore, according to the specific performance of the graphite felt, a higher first grade coefficient (such as “A” grade) is assigned to it, indicating that its performance in the compression process is excellent; through the above steps, the first grade coefficient of the graphite felt is successfully determined, providing an important reference for subsequent performance evaluation and application.

[0227] Therefore, the second grade coefficient is determined according to the plurality of state parameters and the compression rate of the graphite felt, that is, the second grade coefficient is determined according to the plurality of state parameters of the graphite felt at different compression rates and the plurality of compression rates corresponding to the graphite felt. The performance grade of the graphite felt is determined based on the first grade coefficient, the second grade coefficient and the performance grade mapping relationship, which is compatible with the overall consideration of the first grade coefficient, the second grade coefficient and the performance grade mapping relationship, and ensures the accuracy of the performance grade of the graphite felt.

[0228] At this time, the second grade coefficient is determined for the compression performance of the graphite felt by comprehensively considering the plurality of state parameters and the compression rate information of the graphite felt, and this coefficient will reflect the comprehensive performance of the graphite felt at different compression rates; at this time, all collected state parameter data (such as fiber density, direction deflection angle, morphological change degree, etc.) and compression rate data of the graphite felt are sorted out; according to the experimental requirements or industry standards, a weight is assigned to each state parameter, indicating the importance of the parameter in evaluating the compression performance of the graphite felt; based on the data and weight distribution of the state parameters, a performance score is calculated for the state of the graphite felt at each compression rate, which is realized by weighted summation or other appropriate statistical methods; according to the distribution of the performance score, a grade division standard is developed; then, the performance score at each compression rate is compared with the grade division standard to determine the corresponding second grade coefficient.

[0229] In combination with the first grade coefficient and the second grade coefficient, a performance grade mapping relationship is established, which corresponds different combinations of grade coefficients to the performance grade of the graphite felt; at this time, all combinations of the first grade coefficient and the second grade coefficient are listed; according to the experimental requirements or industry standards, a specific performance grade is defined for each grade coefficient combination, which is based on the comprehensive performance of the graphite felt in the compression process in terms of structural stability, morphological retention ability, fiber structure integrity and other aspects; a mapping table or database (i.e. a pre-set performance grade mapping relationship) is established between the grade coefficient combination and the corresponding performance grade, so that in the subsequent evaluation process, the performance grade of the graphite felt can be quickly found and determined from the pre-set performance grade mapping relationship; thereby obtaining the pre-set performance grade mapping relationship, for example, a performance grade mapping relationship table or database.

[0230] According to the first grade coefficient, the second grade coefficient and the pre-set performance grade mapping relationship, the performance grade of the graphite felt is finally determined; at this time, the first grade coefficient and the second grade coefficient of the graphite felt are determined; the performance grade corresponding to the two grade coefficients is found in the performance grade mapping relationship table or database; the performance grade of the graphite felt is determined according to the mapping result; and the performance grade evaluation result of the graphite felt is output.

[0231] Specifically, assuming that an experimental study on the compression performance evaluation of graphite felt is being conducted, and the first-level coefficients, multiple state parameters, and compression rate data of the graphite felt under different compression rates have been obtained through previous steps; the second-level coefficients are determined: first, the data of fiber density, direction deflection angle, and other state parameters, as well as the data of graphite felt under 10%, 20%, and 30% compression rates are sorted out; according to the experimental requirements, different weights are assigned to the fiber density and direction deflection angle (for example, fiber density 0.6, direction deflection angle 0.4); then, the performance scores of the graphite felt under each compression rate are calculated (for example, 85 under 10% compression rate, 80 under 20%, and 75 under 30%); finally, according to the distribution of performance scores, the grade division standard is developed, and the performance scores under each compression rate are compared with the standard to determine the corresponding second-level coefficients (for example, 10% is A grade, 20% is B grade, and 30% is C grade).

[0232] All combinations of first-level coefficients and second-level coefficients are listed (for example, the first-level coefficient is A, and the second-level coefficient is A, B, or C); according to the experimental requirements, specific performance levels are defined for each grade combination (for example, A-A is excellent, A-B is good, and A-C is general, etc.); then, the performance level mapping relationship table is established, and the grade combination is matched with the corresponding performance level; assuming that the first-level coefficient of the graphite felt is A, and the second-level coefficient under 10% compression rate is A, under 20% is B, and under 30% is C; the performance level corresponding to these grade coefficients is found in the performance level mapping relationship table; according to the mapping result, it is determined that the performance level of the graphite felt under 10% compression rate is excellent, under 20% is good, and under 30% is general.

[0233] Any combination of the technical features of the above embodiments is possible, and in order to make the description concise, not all combinations of the technical features in the above embodiments are described, however, as long as the combination of the technical features does not exist contradictory, it should be considered as the scope of the present disclosure.

Claims

1. A closed-loop compression device for graphite felt, characterized in that, include: A cavity having an opening, the cavity being made of an X-ray permeable material; A cover that conceals the opening and is threadedly connected to the cavity; A pressure plug is located inside the cavity and can reciprocate relative to the cavity in a preset direction. One end of the pressure plug along the preset direction forms a receiving space with the cavity that can be used to receive graphite felt. The other end of the pressure plug along the preset direction is correspondingly arranged with the cover. During the rotation of the cover relative to the cavity, the cover can move synchronously toward the pressure plug to abut against the pressure plug, or the cover can move synchronously away from the pressure plug to abut against or release the pressure plug.

2. The graphite felt closed compression device according to claim 1, characterized in that, The cover includes a groove and a boss. The inner circumferential surface of the groove is provided with an internal thread, and the boss is provided on the inner bottom surface of the groove and protrudes relative to the inner bottom surface of the groove. The cavity has an external thread on the outer circumferential surface of the opening end, which extends into the groove and the external thread engages with the internal thread. The boss extends into the cavity along the opening and abuts against the plug.

3. The graphite felt closed compression device according to claim 1, characterized in that, The surface of the plug near the receiving space is a smooth surface; or The surface of the plug near the receiving space is provided with one or more flow channels; or The surface of the plug near the receiving space is provided with one or more raised ribs.

4. The graphite felt closed compression device according to claim 1, characterized in that, A portion of the sidewall of the cavity is configured as a thinned wall, and at least a portion of the thinned wall is located on the side of the receiving space.

5. The graphite felt closed compression device according to claim 4, characterized in that, The outer surface of the thinned wall is flush with the outer surface of the sidewall of the cavity, or recessed relative to the outer surface of the sidewall of the cavity, and the inner surface of the thinned wall is recessed relative to the inner surface of the sidewall of the cavity.

6. The graphite felt closed compression device according to claim 1, 4, or 5, characterized in that, The cavity has a through hole on its side wall, which extends through the side wall of the cavity along the thick wall direction and is located to the side of the accommodating space. A thin film is wrapped around the outer periphery of the cavity, and the thin film seals the through hole.

7. The graphite felt closed compression device according to claim 1, characterized in that, The cavity includes a bottom wall and a peripheral side wall. The bottom wall is disposed at one end of the peripheral side wall, and the other end of the peripheral side wall forms the opening. The bottom wall, a portion of the peripheral side wall, and the plug form the receiving space. The thickness of the bottom wall is greater than the thickness of the peripheral sidewall.

8. A method for detecting graphite felt applied in a closed-loop graphite felt compression device, characterized in that, The graphite felt detection method applied to the graphite felt closed compression device as described in any one of claims 1-7, and the graphite felt detection method applied to the graphite felt closed compression device includes: If the graphite felt is under compression, acquire a CT image of the graphite felt under compression. The CT scan mode of the graphite felt is determined based on the CT images; The graphite felt closed compression device is tested according to the CT scan mode to obtain multiple fiber images of the graphite felt, wherein the compression ratios corresponding to the multiple fiber images are all different. Based on the multiple fiber images, the corresponding change regions of the graphite felt are determined; The performance level of the graphite felt is determined based on the corresponding variation region.

9. The graphite felt testing method applied to a closed-loop graphite felt compression device according to claim 8, characterized in that, If the graphite felt is under compression, acquire a CT image of the graphite felt under compression, including: If the graphite felt is under compression by the stopper, determine the rotation angle of the cover relative to the cavity, and determine the compression ratio of the graphite felt based on the rotation angle of the cover relative to the cavity, the specifications of the stopper, and the specifications of the cavity. The initial compression profile of the graphite felt is determined based on its compression ratio and model. Based on the preliminary compression morphology of the graphite felt and the model of the CT scanning device, the corresponding CT scanning mode of the graphite felt is determined. Based on the CT scanning mode, the CT scanning device is controlled to scan the graphite felt to obtain a CT image of the graphite felt under compression.

10. The graphite felt testing method applied to a closed-loop graphite felt compression device according to claim 8, characterized in that, The step of determining the performance level of the graphite felt based on the corresponding variation region includes: Multiple variation parameters of the graphite felt are determined based on the variation region corresponding to the graphite felt; For each changing parameter, determine the corresponding state diagram based on the changing parameter; Based on the state diagrams corresponding to the various changing parameters, the state distribution diagram of the graphite felt is determined. The performance level of the graphite felt is determined based on the state distribution diagram of the graphite felt.

Images