Method for detecting hydraulic characteristics of wick based on multi-modal perception

Abstract

The invention relates to the technical field of wick, and discloses a wick hydraulic characteristic detection method based on multi-modal perception, which comprises the following steps: S1, image data acquisition and processing: acquiring a climbing image of capillary climbing of a working medium in a wick, and carrying out image preprocessing, feature extraction and height conversion on the climbing image to obtain a wick hydraulic characteristic detection result; extracting climbing height data of the working medium in the wick of each image to form a height-time data set of the working medium; s2, mass data acquisition and processing: detecting mass change data of the working medium in the working medium container through a pressure sensor, and processing the mass change data of the working medium to form a mass-time data set of the working medium absorbed by the wick; and S3, hydraulic characteristic analysis: performing quantitative analysis processing on the height-time data set and the quality-time data set to generate evaluation parameters of the hydraulic characteristics of the wick. The detection method provided by the invention has the characteristics of convenient, efficient, rapid and accurate detection process.

Description

Technical Field

[0001] The present invention relates to the technical field of liquid absorbent cores, and in particular to a method for detecting hydraulic characteristics of liquid absorbent cores based on multimodal sensing. Background Art

[0002] As a porous medium, the wick can spontaneously transfer the internal working fluid through its own capillary force and has been widely used in the field of heat pipes. As the core structure of the working fluid circulation inside the heat pipe, the hydraulic characteristics of the wick determine the overall performance of the heat pipe. Currently, technicians can only conduct qualitative analysis of the hydraulic characteristics of the wick by visually observing the climbing height of the working fluid in the wick. There is a lack of a fast and accurate method to conduct systematic experimental testing and hydraulic characteristics evaluation method for the wick hydraulic characteristics. Summary of the invention

[0003] In order to overcome or alleviate one or more of the above technical problems, the purpose of the present invention is to provide a method for detecting the hydraulic characteristics of a wick based on multimodal sensing, which can quickly and accurately carry out capillary climbing experiments of wick working fluids, analyze the data obtained from the experiments, and resolve the hydraulic characteristic parameters of the wick, so that relevant practitioners can quantitatively analyze the hydraulic characteristics of the wick, provide technical personnel with an accurate and fast detection method, accelerate the product design process, and improve the quality inspection capabilities of the production line.

[0004] The present invention provides the following technical solutions:

[0005] In a first aspect, the present invention provides a method for detecting hydraulic properties of a liquid-absorbing core based on multimodal sensing, which comprises the following steps:

[0006] S1: Image data acquisition and processing, using an infrared thermal imager and an industrial array camera to obtain a climbing image of the capillary climbing of the working fluid in the wick, performing image preprocessing, feature extraction and height conversion on the climbing image, extracting the climbing height data of the working fluid in the wick for each image, and forming a height-time data set of the working fluid climbing;

[0007] S2: Quality data collection and processing: detecting the quality change data of the working fluid in the working fluid container through a pressure sensor, processing the quality change data of the working fluid, and forming a quality-time data set of the working fluid absorbed by the liquid wick;

[0008] S3: Hydraulic characteristic analysis: quantitatively analyzing and processing the height-time data set and the mass-time data set to generate evaluation parameters of the hydraulic characteristics of the wick.

[0009] According to some embodiments, step S1 comprises the following steps:

[0010] Step S11: image preprocessing, including grayscale processing, image noise reduction, image enhancement and image correction; through the grayscale processing, the RGB three-channel image of the liquid core working fluid climbing experiment collected by the visual acquisition module is converted into a grayscale single-channel image; the image noise reduction removes noise points in the collected image by a median filtering method; the image enhancement is used to enhance the grayscale value difference between the liquid core sample part and the background, and improve the subsequent threshold segmentation effect; the image correction takes the image through an industrial array camera to obtain the deviation parameter of the liquid core sample image, and corrects the image data set taken by the infrared thermal imager through the deviation parameter;

[0011] Step S12: feature extraction, using OTSU threshold segmentation, automatically setting a suitable threshold to extract the starting point of the capillary climbing of the working fluid and the entire area of ​​the working fluid wetting the wick, obtaining the ROI area by OTSU threshold segmentation, and performing binarization processing on the ROI area;

[0012] Step S13: height conversion, using the area average method to extract the pixel climbing height of the working fluid in the wick, extract the climbing height data of the working fluid in the wick for each image, and form the height-time data set of the working fluid climbing.

[0013] According to some implementations, the specific method of image correction in step S11 is:

[0014] The grayscale image of the wick sample is obtained by shooting with an industrial area array camera, and the wick sample ROI is obtained by threshold segmentation. The central axis is extracted according to the edge pixel positions on the left and right sides of the wick sample ROI. The deviation angle between the central axis and the vertical direction of the image is determined. The deviation angle is used as the deviation parameter to perform deviation correction on the image data set taken by the infrared thermal imager.

[0015] According to some implementations, the specific method for extracting the starting point of the capillary rise of the working fluid in step S12 is as follows:

[0016] The starting point of the capillary climbing of the working fluid is determined by reading the image before the wick comes into contact with the working fluid. There is a grayscale difference between the working fluid container and the background in the image. The working fluid container area is extracted as the working fluid container ROI through OTSU threshold segmentation. The upper edge of the working fluid container ROI is the starting point of the capillary climbing of the working fluid.

[0017] According to some embodiments, the specific method of extracting the entire area of ​​the liquid absorbent core by wetting the working medium in step S12 is as follows:

[0018] The entire area of ​​the working fluid wetting the wick is extracted by reading the last experimental image, at which the working fluid wetting the wick area is the largest. The wetting area ROI is segmented by the OTSU threshold, and the separated wetting area ROI is regionally expanded as a mask for the subsequent separation of the foreground and background.

[0019] According to some implementations, the specific method of the area averaging method in step S13 is as follows:

[0020] The area of ​​the wetted part of the absorbent core is obtained through the connected domain algorithm. According to the boundary of the binary image of the absorbent core, the coordinates of the edge pixels of the wetted area are traversed, and the pixel width of the wetted area of ​​each pixel row is extracted. The average width is calculated by adding the width of each row of pixels. Finally, the current climbing height of the absorbent core is obtained by dividing the area of ​​the wetted area by the average width of the wetted area.

[0021] According to some implementations, during the image data processing step S1, the method for determining the start of the working fluid capillary climbing experiment is:

[0022] The image area composed of pixels with the same pixel value and adjacent positions in the binary image is extracted by the connected domain algorithm, and all connected domains are screened. The image data set is screened according to the average width and minimum area of ​​the working fluid climbing in the wick. The first image that meets the screening conditions in chronological order is the initial image of the working fluid capillary climbing.

[0023] In the quality data processing process of step S2, the judgment basis for the pressure sensor to sense the start of the capillary climb experiment of the working fluid is: the moment the wick contacts the working fluid, the data read by the pressure sensor will mutate, and the mutation time point is used as the start time point of the pressure sensor sensing the capillary climb experiment of the working fluid, which corresponds to the initial time point of the image processing.

[0024] According to some embodiments, the specific steps of analyzing the hydraulic characteristics in step S3 are as follows:

[0025] S31: Smoothing the height-time and mass-time data sets, wherein the specific smoothing methods are a five-point de-interpolation method and a linear five-point averaging method;

[0026] S32: Differentiate the height-time and mass-time data after smoothing to obtain the climbing speed data and mass transfer rate data of the working fluid in the liquid wick;

[0027] S33: The Laplace-Young equation and the pressure drop balance equation in the wick are used to derive the equation including the wick permeability K and the capillary force P. cap The linear equation of the working fluid climbing speed v and the inverse of the working fluid climbing height 1 / h is obtained. After fitting the speed and inverse height data points through the RANSAC algorithm, the slope and intercept are solved to obtain the wick permeability K and capillary force P cap ;

[0028] S34: Calculate the porosity φ in the absorbent core by the working fluid volume method. The specific method is: the working fluid climbing height detected by the infrared thermal imager is used to obtain the current wetted volume V of the absorbent core according to the manufacturing parameters of the absorbent core sample. p Then, the mass m of the working fluid absorbed by the sample of the liquid wick is measured by the pressure sensor. w , working fluid density ρ w The query can be obtained, and finally the porosity φ of the absorbent core is calculated according to the formula;

[0029] Define the capillary factor S as the wick permeability K and the capillary force P cap The product of is used to comprehensively evaluate the hydraulic characteristics of the wick, and the calculation formula is as follows:

[0030] S=K·P cap (1)

[0031] The porosity φ is calculated by the mass of the wick. The porosity φ calculation formula is as follows:

[0032]

[0033] Where V p is the volume of the wick, m w is the mass of the working fluid in the wick, ρ w is the working fluid density.

[0034] In a second aspect, the present invention provides a computer system, characterized in that it comprises one or more processors and one or more memories, wherein the memories store computer executable instructions, and when the computer executable instructions are executed by the processors, they implement the above-mentioned method for detecting the hydraulic characteristics of the absorbent core based on multimodal sensing.

[0035] Compared with the prior art, the present invention has the following beneficial effects:

[0036] The present invention discloses a method for detecting the hydraulic characteristics of a liquid absorbent core based on multimodal sensing, which rapidly and accurately carries out a capillary climbing experiment of a liquid absorbent core working fluid, performs image processing on the climbing image, extracts climbing height data of the working fluid in the liquid absorbent core in each image, forms a climbing height-time data set of the working fluid, detects working fluid mass change data in a working fluid container by a pressure sensor, processes the working fluid mass change data, forms a mass-time data set of the working fluid absorbed by the liquid absorbent core, analyzes the data set obtained in the experiment, and resolves the hydraulic characteristic parameters of the liquid absorbent core, so that relevant practitioners can conveniently, efficiently, rapidly and accurately perform quantitative analysis on the hydraulic characteristics of the liquid absorbent core, and improve the quality inspection capability of the production line. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1A flow chart of a method for detecting hydraulic characteristics of a wick based on multimodal sensing provided in an embodiment of the present invention.

[0038] Figure 2 A software interface for a method for detecting hydraulic properties of a liquid-absorbing core based on multimodal sensing provided by an embodiment of the present invention.

[0039] Figure 3 The original data of the climbing height of the liquid-absorbing core working medium and the data smoothing graph provided in the embodiment of the present invention are as follows.

[0040] Figure 4 A graph showing the climbing speed of the working fluid in the extraction wick provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0041] The present invention is described in detail below in conjunction with the embodiments and drawings, but it should be understood that the embodiments and drawings are only used to exemplify the present invention and do not constitute any limitation on the protection scope of the present invention. All reasonable changes and combinations within the scope of the inventive concept of the present invention fall within the protection scope of the present invention.

[0042] The present invention will be further described below in conjunction with the accompanying drawings.

[0043] Example 1

[0044] like Figure 1 As shown, this embodiment provides a method for detecting the hydraulic characteristics of a liquid absorbent core based on multimodal sensing. The method is used to detect the hydraulic characteristics of the liquid absorbent core. In a specific implementation, an experimental detection software platform is first built. The software platform is as follows: Figure 2 As shown, the method for detecting hydraulic characteristics of a liquid-absorbing core based on multimodal sensor perception provided in this embodiment includes three steps, namely S1 image data acquisition and processing, S2 quality data acquisition and processing, and S3 hydraulic characteristics analysis. After the image data processing set is generated by the infrared thermal imager, the height data in the image is extracted. The specific steps of image data acquisition and processing are as follows:

[0045] Step S11: Perform image preprocessing, convert the collected RGB three-channel image of the liquid core working fluid climbing experiment into a grayscale single-channel image, and then use median filtering to reduce noise on the grayscale image, and select a 5×5 size for the median filter template; then use an image enhancement algorithm to enhance the grayscale value difference between the liquid core sample part and the background in the image, and the image enhancement algorithm obtains the average grayscale value in the Width×Height area centered on the pixel to be enhanced through a low-pass filter, and then calculates the grayscale value res_Gray after enhancement through the original grayscale value Origin_Gray, the regional average grayscale value Mean_Gray and the enhancement factor Factor.

[0046] In this embodiment, Width=Height=20, Factor=4 are selected for image enhancement processing. After the above image preprocessing, the background is free of noise and the boundary of the liquid wick sample is clear;

[0047] Image correction is carried out by taking pictures with an industrial area array camera to obtain the grayscale image of the wick sample, and the wick sample ROI is obtained by threshold segmentation. The central axis is extracted according to the edge pixel positions on the left and right sides of the wick sample ROI, and the deviation angle between the central axis and the vertical direction of the image is determined. The deviation angle is used as the deviation parameter to perform deviation correction on the image data set taken by the subsequent infrared thermal imager.

[0048] Step S12: Read the first picture in the image data processing set, that is, the earliest picture taken. The wick sample has not yet come into contact with the working fluid. There is a grayscale difference between the working fluid container and the experimental background in the image. The working fluid container area is segmented by the OTSU threshold to obtain the binary working fluid container area THRESH_BINARY(x,y).

[0049] In this embodiment, the threshold segmentation value is automatically obtained through the OTSU threshold segmentation algorithm. After the threshold segmentation, the image is binarized, and the upper end of the segmented working fluid container ROI is the starting point of the capillary climbing of the working fluid;

[0050] Read the last picture in the image data processing set, that is, the latest picture taken. At this time, the working fluid reaches the equilibrium position in the wick sample. Use the same OTSU threshold segmentation method to segment the working fluid wetting area ROI. Here, the wetting area ROI is expanded to expand the area outward to ensure that the wick sample wetting area is completely included. The expanded ROI is used as a mask for subsequent image processing to separate the wick sample and the experimental background;

[0051] Step S13: read other pictures in the image processing data set to extract height, and the height conversion part adopts the area average method: first, the area of ​​the wetted area in the absorbent core is obtained by the connected domain algorithm, and then according to the binary image boundary, the coordinates of the edge pixel points of the wetted area are traversed, and the pixel width of the wetted area of ​​each pixel row is extracted, and the average width is calculated after adding the pixel width of each row, and finally the current climbing height of the absorbent core is obtained by dividing the wetted area by the average width of the wetted area. All the collected height data are associated with the time data to obtain the climbing height-time data set of the absorbent core sample.

[0052] In this example, the mass change of the working fluid in the working fluid container is obtained through a pressure sensor and uploaded to the PC through the network port; the obtained mass change data is associated with the acquisition time according to the pressure sensor data acquisition interval to obtain the mass-time data set in the liquid-absorbing core sample.

[0053] For determining the starting time point of the capillary climbing experiment of the working fluid, the judgment standard of the image is to extract the image area composed of pixel points with the same pixel value and adjacent position in the image after binarization processing through the connected domain algorithm, screen all connected domains, and screen the image data set according to the average width and minimum area when the working fluid climbs in the wick. The first image that meets the screening conditions in chronological order is the initial image of the capillary climbing of the working fluid; the judgment standard of the pressure sensor is that the data read by the pressure sensor will mutate at the moment the wick contacts the working fluid. The mutation time point is the time point when the pressure sensor senses the start of the capillary climbing experiment of the working fluid, which corresponds to the initial time point of image processing.

[0054] After obtaining the above-mentioned wick sample climbing height-time data set and mass-time data set, the S3 hydraulic characteristics analysis was performed as follows:

[0055] S31: Based on the five-point de-interpolation method and the linear five-point smoothing method, the altitude-time data and the quality-time data are smoothed; the five-point de-interpolation method selects five points around the point to be smoothed, removes the maximum and minimum values, and calculates the average value of the remaining three points, and performs the five-point de-interpolation method on the altitude data set and the quality data set for an appropriate number of times, so that the adjacent points become smooth; the linear five-point smoothing method selects five points around the point to be smoothed, assigns different weight ratios to each point, and then calculates the average to obtain smoothed data points; after using the five-point de-interpolation method to smooth the altitude data set and the quality data set, the linear five-point smoothing method is used for secondary smoothing to make the altitude data smoother.

[0056] S32: After the original data is smoothed, the height-time and mass-time data are differentiated to obtain the velocity-time data and mass transfer rate-time data of the working fluid climbing in the liquid wick, and the above data are plotted on a chart to obtain Figure 3 Capillary climbing height image and Figure 4 Image of working fluid capillary rise velocity.

[0057] S33: By deriving the Laplace-Young equation and the pressure drop loss balance equation in the absorbent core together, a linear equation containing the absorbent core permeability K and the capillary force Pcap about the working fluid climbing speed v and the inverse of the working fluid climbing height 1 / h is obtained.

[0058] S34: By fitting the inverse relationship equation v-1 / h between the climbing speed of the working fluid and the climbing height, the permeability K and the capillary force Pcap of the wick sample can be solved from the slope and intercept parts of the linear equation; considering that the permeability K and the capillary force Pcap in the hydraulic characteristic parameters of the wick are mutually restricted, the wick with high permeability has low capillary force and low driving force on the flow of the working fluid;

[0059] The pore size of the absorbent core with high capillary force is small, and its permeability is low, which reduces the flow rate of the working fluid and affects the hydraulic properties of the absorbent core. Therefore, the capillary factor S is defined to comprehensively evaluate the hydraulic properties of the absorbent core. The calculation formula is as follows:

[0060] S=K·P cap (1)

[0061] The porosity φ is calculated by the mass of the wick. The porosity φ calculation formula is as follows:

[0062]

[0063] Where V p is the volume of the wick, m w is the mass of the working fluid in the wick, ρ w is the density of the working fluid; the real-time working fluid mass in the absorbent core is obtained by the pressure sensor, and the climbing height of the working fluid in the absorbent core is obtained by image processing. In combination with the size parameters of the absorbent core, the real-time wetted part volume of the absorbent core can be solved, and finally the porosity φ data at each height of the absorbent core can be obtained;

[0064] This embodiment uses the above multi-sensor coupled wick working fluid capillary climbing experimental detection method, and uses the wick samples in Table 1 for testing, and the hydraulic characteristic parameter results are shown in Table 2:

[0065] Table 1 Parameters of wick samples

[0066]

[0067] Table 2 Hydraulic characteristic parameters of each group

[0068]

[0069]

[0070] In view of the problem that there is currently a lack of efficient and accurate detection methods for the hydraulic characteristics of heat pipe wicks, this embodiment has developed a detection method using an infrared thermal imager, an industrial area array camera, and a pressure sensor coupled to collect height and quality data of the working fluid climbing in the capillary climbing experiment of the wick working fluid by programming visual detection and data processing algorithms, and quickly calculate the hydraulic characteristic parameters of the wick through the collected data, so that relevant practitioners can quantitatively analyze the hydraulic characteristics of the wick, provide technical personnel with an accurate and fast detection method, accelerate the product design process, and improve the quality inspection capability of the production line.

[0071] The above embodiments are only preferred implementations of the present invention, and the protection scope of the present invention is not limited to the above embodiments. All technical solutions under the concept of the present invention belong to the protection scope of the present invention. It should be pointed out that for ordinary technicians in this technical field, improvements and modifications without departing from the principle of the present invention should also be regarded as the protection scope of the present invention.

Claims

1. A method for detecting hydraulic properties of a liquid-absorbing core based on multimodal sensing, characterized in that: The following steps are involved: S1: Image data acquisition and processing, using an infrared thermal imager and an industrial array camera to obtain a climbing image of the capillary climbing of the working fluid in the wick, performing image preprocessing, feature extraction and height conversion on the climbing image, extracting the height data of the working fluid climbing in the wick in each image, and forming a height-time data set of the working fluid climbing; S2: Quality data collection and processing: detecting the quality change data of the working fluid in the working fluid container through a pressure sensor, processing the quality change data of the working fluid, and forming a quality-time data set of the working fluid absorbed by the liquid wick; S3: Hydraulic characteristic analysis: quantitatively analyzing and processing the height-time data set and the mass-time data set to generate evaluation parameters of the hydraulic characteristics of the wick.

2. The method for detecting hydraulic properties of a liquid-absorbing core based on multimodal sensing according to claim 1, characterized in that: Step S1 includes the following steps: Step S11: image preprocessing, including grayscale processing, image noise reduction, image enhancement and image correction; through the grayscale processing, the RGB three-channel image of the liquid core working fluid climbing experiment collected by the visual acquisition module is converted into a grayscale single-channel image; the image noise reduction removes noise points in the collected image by a median filtering method; the image enhancement is used to enhance the grayscale value difference between the liquid core sample part and the background, and improve the subsequent threshold segmentation effect; the image correction takes the image through an industrial array camera to obtain the deviation parameter of the liquid core sample image, and corrects the image data set taken by the infrared thermal imager through the deviation parameter; Step S12: feature extraction, using OTSU threshold segmentation, automatically setting a suitable threshold to extract the starting point of the capillary climbing of the working fluid and the entire area of ​​the working fluid wetting the wick, obtaining the ROI area by OTSU threshold segmentation, and performing binarization processing on the ROI area; Step S13: height conversion, using the area average method to extract the pixel climbing height of the working fluid in the wick, extract the climbing height data of the working fluid in the wick for each image, and form the height-time data set of the working fluid climbing.

3. The method for detecting hydraulic properties of a liquid-absorbing core based on multimodal sensing according to claim 2, characterized in that: The specific method of image correction in step S11 is: The grayscale image of the wick sample is obtained by shooting with an industrial area array camera, and the wick sample ROI is obtained by threshold segmentation. The central axis is extracted according to the edge pixel positions on the left and right sides of the wick sample ROI. The deviation angle between the central axis and the vertical direction of the image is determined. The deviation angle is used as the deviation parameter to perform deviation correction on the image data set taken by the infrared thermal imager.

4. The method for detecting hydraulic properties of a liquid-absorbing core based on multimodal sensing according to claim 2, characterized in that: The specific method for extracting the starting point of the capillary rise of the working fluid in step S12 is as follows: The starting point of the capillary climbing of the working fluid is determined by reading the image before the wick comes into contact with the working fluid. There is a grayscale difference between the working fluid container and the background in the image. The working fluid container area is extracted as the working fluid container ROI through OTSU threshold segmentation. The upper edge of the working fluid container ROI is the starting point of the capillary climbing of the working fluid.

5. The method for detecting hydraulic characteristics of a liquid-absorbing core based on multimodal sensing according to claim 4, characterized in that: The specific method of extracting the entire area of ​​the liquid absorbent core wetted by the working medium in step S12 is as follows: The entire area of ​​the working fluid wetting the wick is extracted by reading the last experimental image, at which the working fluid wetting the wick area is the largest. The wetting area ROI is segmented by the OTSU threshold, and the separated wetting area ROI is regionally expanded as a mask for the subsequent separation of the foreground and background.

6. The method for detecting hydraulic properties of a liquid-absorbing core based on multimodal sensing according to claim 2, characterized in that: The specific method of the area average method in step S13 is as follows: The area of ​​the wetted part of the absorbent core is obtained through the connected domain algorithm. According to the boundary of the binary image of the absorbent core, the coordinates of the edge pixels of the wetted area are traversed, and the pixel width of the wetted area of ​​each pixel row is extracted. The average width is calculated by adding the width of each row of pixels. Finally, the current climbing height of the absorbent core is obtained by dividing the area of ​​the wetted area by the average width of the wetted area.

7. The method for detecting hydraulic properties of a liquid-absorbing core based on multimodal sensing according to claim 1, characterized in that: In the image data processing process of step S1, the method for judging the start of the working fluid capillary climbing experiment is: The image area composed of pixels with the same pixel value and adjacent positions in the binary image is extracted by the connected domain algorithm, and all connected domains are screened. The image data set is screened according to the average width and minimum area of ​​the working fluid climbing in the wick. The first image that meets the screening conditions in chronological order is the initial image of the working fluid capillary climbing. In the quality data processing process of step S2, the judgment basis for the pressure sensor to sense the start of the capillary climb experiment of the working fluid is: the moment the wick contacts the working fluid, the data read by the pressure sensor will mutate, and the mutation time point is used as the start time point of the pressure sensor sensing the capillary climb experiment of the working fluid, which corresponds to the initial time point of the image processing.

8. The method for detecting hydraulic properties of a liquid-absorbing core based on multimodal sensing according to claim 1, characterized in that: The specific steps of analyzing the hydraulic characteristics in step S3 are as follows: S31: Smoothing the height-time and mass-time data sets, wherein the specific smoothing methods are five-point de-interpolation method and linear five-point averaging method; S32: Differentiate the height-time and mass-time data after smoothing to obtain the climbing speed data and mass transfer rate data of the working fluid in the liquid wick; S33: The Laplace-Young equation and the pressure drop balance equation in the wick are used to derive the equation including the wick permeability K and the capillary force P. cap The linear equation of the working fluid climbing speed v and the inverse of the working fluid climbing height 1 / h is obtained. After fitting the speed and inverse height data points through the RANSAC algorithm, the slope and intercept are solved to obtain the wick permeability K and capillary force P cap ; S34: Calculate the porosity φ in the absorbent core by the working fluid volume method. The specific method is: the working fluid climbing height detected by the infrared thermal imager is used to obtain the current wetted volume V of the absorbent core according to the manufacturing parameters of the absorbent core sample. p Then, the mass m of the working fluid absorbed by the sample of the liquid wick is measured by the pressure sensor. w , working fluid density ρ w The query can be obtained, and finally the porosity φ of the absorbent core is calculated according to the formula; Define the capillary factor S as the wick permeability K and the capillary force P cap The product of is used to comprehensively evaluate the hydraulic characteristics of the wick, and the calculation formula is as follows: S=K·P cap (1) The porosity φ is calculated by the mass of the wick. The porosity φ calculation formula is as follows: Where V p is the volume of the wick, m w is the mass of the working fluid in the wick, ρ w is the working fluid density.

9. A computer system, characterized in that: The device comprises one or more processors and one or more memories, wherein the memories store computer executable instructions, and when the computer executable instructions are executed by the processors, the detection method according to any one of claims 1 to 8 is implemented.

Images