Phenolic cotton cloth laminated board for water-lubricated bearing and production process of phenolic cotton cloth laminated board
By identifying and adjusting the status of the semi-gelized solvent in the preparation process of the phenolic cotton cloth laminate, the problem of missing glue liquid status detection and identification in the prior art is solved, and effective control of the quality of the phenolic cotton cloth laminate is achieved.
Patent Information
- Application Number
- CN202411757326.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-03
- Publication Date
- 2025-03-18
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
The existing phenolic cotton cloth laminate lacks detection and identification of the glue state during the preparation process, which makes it difficult to control the preparation quality.
After adding an additive to the phenolic resin, the behavioral status data of the semi-gelized solvent is obtained, and the behavioral status values are calculated based on these data, and the status of the semi-gelized solvent is identified, thereby adjusting the process for quality control.
实现了对半胶化溶剂质量的有效评估和酚醛棉布层压板质量的把控,提高了制备过程的可控性和产品的性能。
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Figure CN119636224A_ABST
Abstract
Description
Technical Field
[0002] The invention relates to the technical field of phenolic cotton cloth laminated boards, and in particular to a phenolic cotton cloth laminated board for water-lubricated bearings and a production process thereof. Background Art
[0004] The phenolic cotton cloth laminate is made of special phenolic resin impregnated cotton fiber cloth under high temperature and high pressure. The phenolic cotton cloth laminate is used to be installed in the water-lubricated bearings of ships as a key material for supporting the propeller propulsion shaft.
[0005] The phenolic cotton cloth laminate needs to have certain strength and hardness, and also needs to have good wear resistance, low friction coefficient and low expansion coefficient in water.
[0006] For example, patent application No. 202310391729.5 discloses a ship-use laminated water-lubricated bearing strip material and a preparation method thereof, comprising the following steps: pretreatment: adding phenol, formaldehyde and a catalyst into a reactor, and after the reaction, obtaining a thermosetting base material; modification: adding graphite powder and molybdenum disulfide to the thermosetting base material, and after stirring, obtaining a semi-gelled solvent; gluing: impregnating the semi-gelled solvent into a fiber felt substrate to obtain a semi-cured composite material; pressing: placing the semi-cured composite material on a press to press and obtain a ship-use laminated water-lubricated bearing strip material.
[0007] The existing phenolic cotton cloth laminate lacks detection and identification of the state of the glue during the preparation process, and cannot effectively control the preparation quality of the phenolic cotton cloth laminate. Summary of the invention
[0009] The object of the present invention is to provide a phenolic cotton cloth laminate for water-lubricated bearings and a production process thereof.
[0010] The purpose of the present invention can be achieved through the following technical solutions:
[0011] A production process for a phenolic cotton cloth laminate for a water-lubricated bearing comprises the following steps:
[0012] Phenol, formaldehyde and a catalyst are added into a reaction kettle, and after reaction, phenolic resin is obtained by dehydration;
[0013] Adding an additive to the phenolic resin and stirring to obtain a semi-gelled solvent, obtaining behavior state data of the semi-gelled solvent, obtaining a behavior state value based on the behavior state data, and completing state identification of the semi-gelled solvent;
[0014] If the behavior state value is greater than or equal to the preset behavior state threshold, it means that the state of the semi-gelatinized solvent is good, and the subsequent impregnation process of the semi-gelatinized solvent is performed;
[0015] If the behavior state value is less than the preset behavior state threshold, it means that the state of the semi-gelled solvent is poor, and the current stirring process of the semi-gelled solvent is continued;
[0016] impregnating a semi-gelatinized solvent on a fiber felt substrate to obtain a semi-cured composite material;
[0017] The semi-cured composite material is placed on a press and pressed to obtain a phenolic cotton cloth laminate for a water-lubricated bearing.
[0018] As a further solution of the present invention: the behavior state data of the semi-gelatinized solution includes a gelatin uniformity cardinality, a gelatin impurity cardinality and a gelatin mean cardinality;
[0019] The uniform base number of the glue solution is recorded as Yj
[0020] The base number of impurities in the glue solution is recorded as Yz;
[0021] The mean base of the glue solution is recorded as Ys;
[0022] That is, through the formula The behavior state value Yi of the semi-gelled solvent is calculated, wherein a1 and a2 are both preset proportional coefficients, and a1 and a2 are both greater than zero.
[0023] As a further solution of the present invention: the behavior state data of the semi-gelled solution is obtained by processing the characteristic image of the gelled solution;
[0024] Before acquiring the characteristic image of the gel solution, the semi-gelled solution is imaged to obtain the semi-gelled solution image, and the semi-gelled solution image is preprocessed, and the features of the preprocessed semi-gelled solution image are extracted to obtain the characteristic image of the gel solution.
[0025] As a further solution of the present invention: the glue characteristic image is divided into a plurality of glue characteristic units according to the area;
[0026] Obtain the distribution quantity of the additive in each characteristic unit of the glue;
[0027] Based on the distribution quantity of the additive, the glue characteristic unit is processed to obtain the distribution variance value of the glue characteristic unit and the distribution deviation ratio of the glue characteristic unit;
[0028] The distribution variance value of the glue characteristic unit and the distribution deviation ratio of the glue characteristic unit are multiplied to obtain the glue uniform cardinality.
[0029] As a further solution of the present invention: the distribution quantity of the filler in the glue characteristic unit is calculated by ratio with the area value of the corresponding glue characteristic unit to obtain the glue unit distribution value;
[0030] Integrate the glue unit distribution values corresponding to all glue characteristic units to obtain a glue unit distribution value group;
[0031] The distribution value group of the glue liquid unit is processed according to the variance calculation formula to obtain the distribution variance value of the glue liquid characteristic unit;
[0032] and performing a difference calculation between the largest glue unit distribution value and the smallest glue unit distribution value in the glue unit distribution value group to obtain a glue unit distribution deviation value;
[0033] The distribution deviation ratio of the glue characteristic unit is obtained by calculating the ratio of the glue unit distribution deviation value to the glue unit distribution standard value.
[0034] As a further solution of the present invention: the glue characteristic image is divided into a plurality of glue characteristic units according to the area;
[0035] Obtain the number of impurities in each characteristic unit of the glue;
[0036] Based on the proportion of impurities in the glue characteristic unit, the glue impurity ratio of the glue characteristic unit and the total value of the standard deviation of the glue characteristic unit are obtained;
[0037] The glue solution impurity ratio of the glue solution characteristic unit is multiplied by the total standard deviation of the glue solution characteristic unit to obtain the glue solution impurity base.
[0038] As a further solution of the present invention: the number of impurities in the glue characteristic unit is calculated by ratio with the area value of the corresponding glue characteristic unit to obtain the glue impurity number ratio;
[0039] The glue impurity number ratios in all glue characteristic units are summed and averaged to obtain the glue impurity ratio sum of the glue characteristic units;
[0040] Draw a circumscribed circle with the minimum radius along the outer contour for each impurity in the characteristic unit of the glue, so that each independent impurity is completely built into the circumscribed circle, and obtain the radius of the circumscribed circle corresponding to each impurity;
[0041] Arrange the radii of all circumscribed circles in the glue characteristic unit to obtain a circumscribed circle radius group;
[0042] The standard deviation value of the characteristic unit of the glue liquid is obtained by calculating the circumscribed circle radius group through standard deviation calculation;
[0043] The standard deviation values in all glue characteristic units are averaged to obtain the total standard deviation value of the glue characteristic unit.
[0044] As a further solution of the present invention: obtaining the glue unit distribution value and the glue impurity number ratio corresponding to each glue characteristic unit;
[0045] The ratio of the glue unit distribution value to the glue impurity number ratio is calculated to obtain the glue distribution impurity ratio of the glue characteristic unit.
[0046] As a further solution of the present invention: the glue distribution ratios of the glue characteristic units are summed and averaged to obtain the glue mean cardinality.
[0047] As a further solution of the present invention: a phenolic cotton cloth laminate for water-lubricated bearings is prepared by the above process.
[0048] Beneficial effects of the present invention: The present invention monitors the state of a semi-gelled solvent obtained after stirring a phenolic resin to which an additive is added, that is, by acquiring behavioral state data of the semi-gelled solvent, and processing the glue liquid homogeneous cardinality, the glue liquid impurity cardinality and the glue liquid mean cardinality to obtain a behavioral state value of the semi-gelled solvent, thereby realizing identification of the semi-gelled solvent from the distribution state of the additive in the phenolic resin and the impurity content in the phenolic resin, effectively completing the evaluation of the quality of the semi-gelled solvent, and completing the control of the quality of the phenolic cotton cloth laminate. BRIEF DESCRIPTION OF THE DRAWINGS
[0050] The present invention will be further described below in conjunction with the accompanying drawings.
[0051] Figure 1 It is a flow chart of a production process of a phenolic cotton cloth laminate for water-lubricated bearings of the present invention;
[0052] Figure 2 This is a flow chart of the semi-gelatinized solvent state in the production process of a phenolic cotton cloth laminate for water-lubricated bearings of the present invention;
[0053] Figure 3 It is a schematic diagram of the structure of an electronic device according to an embodiment of the present invention. DETAILED DESCRIPTION
[0055] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0056] Example 1
[0057] See also Figure 1-Figure 2As shown, the present invention is a production process for a phenolic cotton cloth laminate for water-lubricated bearings, comprising the following steps:
[0058] Phenol, formaldehyde and a catalyst are added into a reaction kettle, and after reaction, phenolic resin is obtained by dehydration;
[0059] Adding an additive to the phenolic resin and stirring to obtain a semi-gelled solvent, obtaining behavior state data of the semi-gelled solvent, obtaining a behavior state value based on the behavior state data, and completing state identification of the semi-gelled solvent;
[0060] If the behavior state value is greater than or equal to the preset behavior state threshold, it means that the state of the semi-gelatinized solvent is good, and the subsequent impregnation process of the semi-gelatinized solvent is performed;
[0061] If the behavior state value is less than the preset behavior state threshold, it means that the state of the semi-gelled solvent is poor, and the current stirring process of the semi-gelled solvent is continued;
[0062] impregnating a semi-gelatinized solvent on a fiber felt substrate to obtain a semi-cured composite material;
[0063] The semi-cured composite material is placed on a press and pressed to obtain a phenolic cotton cloth laminate for a water-lubricated bearing.
[0064] Wherein, the catalyst includes barium hydroxide and ammonia water;
[0065] Wherein, the additives include graphite powder and molybdenum disulfide;
[0066] The behavior state data of the semi-gelled solution include the gelatin homogeneous base number, gelatin impurity base number and gelatin mean base number;
[0067] Capturing the image of the semi-gelled solution to obtain a semi-gelled solution image, preprocessing the semi-gelled solution image, and extracting features from the preprocessed semi-gelled solution image to obtain a gel solution feature image;
[0068] Among them, the preprocessing goal of the semi-gelled solution image is to improve the image quality, remove noise, enhance the useful information in the image, and lay a good foundation for subsequent feature extraction and classification recognition;
[0069] The semi-gelled solution image is subjected to a denoising operation to eliminate the noise in the semi-gelled solution image. The denoising operation makes the image smoother and clearer through methods such as filters. In order to highlight key information in the image, such as texture and edge, image enhancement is required. The semi-gelled solution image is subjected to image enhancement operations through methods such as histogram equalization and contrast stretching. In order to simplify the image processing process, the grayscale image is converted into a binary image. By setting an appropriate threshold, the pixels in the semi-gelled solution image are divided into foreground and background categories, which is convenient for subsequent feature extraction.
[0070] Feature extraction: Feature extraction of semi-gelled solution images is performed using corner detection algorithms, edge detection algorithms or local binary patterns.
[0071] Among them, the process of obtaining the uniform base of the glue solution is:
[0072] Dividing the glue feature image into a number of glue feature units according to the area;
[0073] Obtain the distribution quantity of the additive in each characteristic unit of the glue;
[0074] and processing the area of each glue characteristic unit to obtain the area value of each glue characteristic unit;
[0075] The distribution quantity of the filler in the glue characteristic unit is calculated by ratio with the area value of the corresponding glue characteristic unit to obtain the glue unit distribution value;
[0076] Integrate the glue unit distribution values corresponding to all glue characteristic units to obtain a glue unit distribution value group;
[0077] The distribution value group of the glue liquid unit is processed according to the variance calculation formula to obtain the distribution variance value of the glue liquid characteristic unit;
[0078] and performing a difference calculation between the largest glue unit distribution value and the smallest glue unit distribution value in the glue unit distribution value group to obtain a glue unit distribution deviation value;
[0079] The distribution deviation value of the glue unit is calculated by ratio with the standard value of the glue unit distribution to obtain the distribution deviation ratio of the glue characteristic unit;
[0080] Among them, the standard value of the glue unit distribution is set by the staff according to experience. Under the state of the standard value of the glue unit distribution, the state of the semi-gelatinized solvent in the glue characteristic unit is the best;
[0081] The distribution variance value of the glue characteristic unit and the distribution deviation ratio of the glue characteristic unit are multiplied to obtain the glue uniform cardinality.
[0082] The process of obtaining the impurity base of the glue solution is as follows:
[0083] Dividing the glue feature image into a number of glue feature units according to the area;
[0084] Obtain the number of impurities in each characteristic unit of the glue;
[0085] Impurities are particles of semi-gelled solvents and non-additives;
[0086] The number of impurities in the glue characteristic unit is calculated by ratio with the area value of the corresponding glue characteristic unit to obtain the glue impurity number ratio;
[0087] The glue impurity number ratios in all glue characteristic units are summed and averaged to obtain the glue impurity ratio sum of the glue characteristic units;
[0088] Draw a circumscribed circle with the minimum radius along the outer contour for each impurity in the characteristic unit of the glue, so that each independent impurity is completely built into the circumscribed circle, and obtain the radius of the circumscribed circle corresponding to each impurity;
[0089] Arrange the radii of all circumscribed circles in the glue characteristic unit to obtain a circumscribed circle radius group;
[0090] The standard deviation value of the characteristic unit of the glue liquid is obtained by calculating the circumscribed circle radius group through standard deviation calculation;
[0091] The standard deviation values in all the glue characteristic units are averaged to obtain the total standard deviation value of the glue characteristic unit;
[0092] The glue solution impurity ratio of the glue solution characteristic unit is multiplied by the total standard deviation of the glue solution characteristic unit to obtain the glue solution impurity base.
[0093] Among them, the process of obtaining the mean cardinality of the glue solution is:
[0094] Obtaining the glue unit distribution value and the glue impurity number ratio corresponding to each glue characteristic unit, calculating the ratio of the glue unit distribution value to the glue impurity number ratio, and obtaining the glue distribution impurity ratio of the glue characteristic unit;
[0095] The glue distribution ratios of the glue characteristic units are summed and averaged to obtain the glue mean cardinality.
[0096] The uniform base number of the glue solution is recorded as Yj
[0097] The base number of impurities in the glue solution is recorded as Yz;
[0098] The mean base of the glue solution is recorded as Ys;
[0099] That is, through the formula The behavior state value Yi of the semi-gelled solvent is calculated, wherein a1 and a2 are both preset proportional coefficients, and a1 and a2 are both greater than zero.
[0100] Example 2
[0101] The present invention provides a phenolic cotton cloth laminate for water-lubricated bearings, which is prepared by the production process of the phenolic cotton cloth laminate for water-lubricated bearings.
[0102] Example 3
[0103] Reference Figure 3The embodiment of the present invention further provides a computer device 3, comprising: a memory 302 and a processor 301 and a computer program 303 stored in the memory 302. When the computer program 303 is executed on the processor 301, the production process of the phenolic cotton cloth laminate for water-lubricated bearings as described in any one of the above methods is implemented.
[0104] The computer device 3 may be a computing device such as a desktop computer, a notebook, a PDA, or a cloud server. The computer device 3 may include, but is not limited to, a processor 301 and a memory 302. Those skilled in the art will appreciate that
[0105] Figure 3 It is only an example of computer device 3 and does not constitute a limitation on computer device 3. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components, for example, it may also include input and output devices, network access devices, etc.
[0106] The processor 301 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc.
[0107] In some embodiments, the memory 302 may be an internal storage unit of the computer device 3, such as a hard disk or memory of the computer device 3. In other embodiments, the memory 302 may also be an external storage device of the computer device 3, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), etc. equipped on the computer device 3. Further, the memory 302 may also include both an internal storage unit of the computer device 3 and an external storage device. The memory 302 is used to store an operating system, an application program, a boot loader (BootLoader), data, and other programs, such as the program code of the computer program, etc. The memory 302 may also be used to temporarily store data that has been output or is to be output.
[0108] Example 4
[0109] An embodiment of the present invention further provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the production process of a phenolic cotton cloth laminate for water-lubricated bearings as described in any one of the above methods is implemented.
[0110] In this embodiment, if the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present application implements all or part of the processes in the above-mentioned embodiment method, which can be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by the processor, the steps of the above-mentioned various method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium can at least include: any entity or device that can carry the computer program code to the camera / terminal device, recording medium, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium. For example, USB flash drive, mobile hard disk, disk or optical disk. In some jurisdictions, according to legislation and patent practice, computer-readable media cannot be electric carrier signals and telecommunication signals.
[0111] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.
[0112] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.
[0113] In the embodiments disclosed in the present application, it should be understood that the disclosed apparatus / terminal equipment and method can be implemented in other ways. For example, the apparatus / terminal equipment embodiments described above are merely illustrative. For example, the division of the modules or units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed.
[0114] One point, the mutual coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interface, device or unit, which may be electrical, mechanical or other forms.
[0115] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
[0116] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.
[0117] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.
Claims
1. A production process for phenolic cotton cloth laminate for water-lubricated bearings, characterized in that: The following steps are involved: Phenol, formaldehyde and a catalyst are added into a reaction kettle, and after reaction, phenolic resin is obtained by dehydration; Adding an additive to the phenolic resin and stirring to obtain a semi-gelled solvent, obtaining behavior state data of the semi-gelled solvent, obtaining a behavior state value based on the behavior state data, and completing state identification of the semi-gelled solvent; If the behavior state value is greater than or equal to the preset behavior state threshold, it means that the state of the semi-gelatinized solvent is good, and the subsequent impregnation process of the semi-gelatinized solvent is performed; If the behavior state value is less than the preset behavior state threshold, it means that the state of the semi-gelled solvent is poor, and the current stirring process of the semi-gelled solvent is continued; impregnating a semi-gelatinized solvent on a fiber felt substrate to obtain a semi-cured composite material; The semi-cured composite material is placed on a press and pressed to obtain a phenolic cotton cloth laminate for a water-lubricated bearing.
2. The production process of a phenolic cotton cloth laminate for water-lubricated bearings according to claim 1, characterized in that: The behavior state data of the semi-gelled solution include the gelatin homogeneous base number, gelatin impurity base number and gelatin mean base number; The uniform base number of the glue solution is recorded as Yj The base number of impurities in the glue solution is recorded as Yz; The mean base of the glue solution is recorded as Ys; That is, through the formula The behavior state value Yi of the semi-gelled solvent is calculated, wherein a1 and a2 are both preset proportional coefficients, and a1 and a2 are both greater than zero.
3. The production process of the phenolic cotton cloth laminate for water-lubricated bearings according to claim 2 is characterized in that: The behavior state data of the semi-gelled solution is obtained by processing the characteristic image of the gel; Before acquiring the characteristic image of the gel solution, the semi-gelled solution is imaged to obtain the semi-gelled solution image, and the semi-gelled solution image is preprocessed, and the features of the preprocessed semi-gelled solution image are extracted to obtain the characteristic image of the gel solution.
4. The production process of a phenolic cotton cloth laminate for water-lubricated bearings according to claim 3 is characterized in that: Dividing the glue feature image into a number of glue feature units according to the area; Obtain the distribution quantity of the additive in each characteristic unit of the glue; Based on the distribution quantity of the filler, the glue characteristic unit is processed to obtain the distribution variance value of the glue characteristic unit and the distribution deviation ratio of the glue characteristic unit; The distribution variance value of the characteristic unit of the glue solution is multiplied by the distribution deviation ratio of the characteristic unit of the glue solution to obtain the uniform cardinality of the glue solution.
5. The production process of the phenolic cotton cloth laminate for water-lubricated bearings according to claim 4 is characterized in that: The distribution quantity of the filler in the glue characteristic unit is calculated by ratio with the area value of the corresponding glue characteristic unit to obtain the glue unit distribution value; Integrate the glue unit distribution values corresponding to all glue characteristic units to obtain a glue unit distribution value group; The distribution value group of the glue liquid unit is processed according to the variance calculation formula to obtain the distribution variance value of the glue liquid characteristic unit; and performing a difference calculation between the largest glue unit distribution value and the smallest glue unit distribution value in the glue unit distribution value group to obtain a glue unit distribution deviation value; The distribution deviation ratio of the glue characteristic unit is obtained by calculating the ratio of the glue unit distribution deviation value to the glue unit distribution standard value.
6. The production process of the phenolic cotton cloth laminate for water-lubricated bearings according to claim 3 is characterized in that: Dividing the glue feature image into a number of glue feature units according to the area; Obtain the number of impurities in each characteristic unit of the glue; Based on the proportion of impurities in the glue characteristic unit, the glue impurity ratio of the glue characteristic unit and the total value of the standard deviation of the glue characteristic unit are obtained; The glue solution impurity ratio of the glue solution characteristic unit is calculated by multiplying the total standard deviation of the glue solution characteristic unit to obtain the glue solution impurity base.
7. The production process of the phenolic cotton cloth laminate for water-lubricated bearings according to claim 6, characterized in that: The number of impurities in the glue characteristic unit is calculated by ratio with the area value of the corresponding glue characteristic unit to obtain the glue impurity number ratio; The glue impurity number ratios in all glue characteristic units are summed and averaged to obtain the glue impurity ratio sum of the glue characteristic units; Draw a circumscribed circle with the minimum radius along the outer contour for each impurity in the characteristic unit of the glue, so that each independent impurity is completely built into the circumscribed circle, and obtain the radius of the circumscribed circle corresponding to each impurity; Arrange the radii of all circumscribed circles in the glue feature unit to obtain a circumscribed circle radius group; The standard deviation value of the characteristic unit of the glue liquid is obtained by calculating the circumscribed circle radius group through standard deviation calculation; The standard deviation values in all glue characteristic units are averaged to obtain the total standard deviation value of the glue characteristic unit.
8. The production process of the phenolic cotton cloth laminate for water-lubricated bearings according to claim 3 is characterized in that: Obtaining the glue unit distribution value and the glue impurity number ratio corresponding to each glue characteristic unit; The ratio of the glue unit distribution value to the glue impurity number ratio is calculated to obtain the glue distribution impurity ratio of the glue characteristic unit.
9. The production process of the phenolic cotton cloth laminate for water-lubricated bearings according to claim 8, characterized in that: The glue distribution ratios of the glue characteristic units are summed and averaged to obtain the glue mean cardinality.
10. A phenolic cotton cloth laminate for water-lubricated bearings, characterized in that: The product is prepared by the process described in any one of claims 1 to 9.
Citation Information
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Warship laminated board type water-lubricated bearing batten material and preparation method thereof
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