CN105043935A - Device and method of measuring infiltration performance of porous metal material on the basis of digital image processing - Google Patents
Device and method of measuring infiltration performance of porous metal material on the basis of digital image processing Download PDFInfo
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- CN105043935A CN105043935A CN201510257920.6A CN201510257920A CN105043935A CN 105043935 A CN105043935 A CN 105043935A CN 201510257920 A CN201510257920 A CN 201510257920A CN 105043935 A CN105043935 A CN 105043935A
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Abstract
The invention discloses a device and a method of measuring an infiltration performance of a porous metal material on the basis of digital image processing. In the invention, a diffusion process of a drop on the porous metal material by a super depth microscope is recorded, and then the monitored record is processed to quantitatively obtain drop diffusion edge and diffusion speed. When the drop is diffused on the porous metal material, the image pixels of a diffusion zone image is changed through comparison with a background image, so that the drop diffusion process and the drop diffusion zone edge are accurately obtained through the digital image processing and further drop diffusion diameter and drop diffusion rate are quantitatively calculated, thereby solving a problem that the drop diffusion zone edge is fuzzy and is difficult to position in a liquid dropping observation method. The device and the method are especially suitable for diffusion of a transparent liquid work medium and provide reliable measurement of testing and evaluating the infiltration performance of the porous metal material. The method also can be developed and used in the fields of tests of infiltration performances of other porous medium materials.
Description
Technical field
The present invention relates to the measurement of metal material wetting property, particularly relate to based on Digital Image Processing porous metal material wetting property measurement mechanism and method.
Background technology
Porous metal material and inner Dispersed precipitate the metal material of a large amount of directive or random holes; because it has high-specific surface area, the good capacity of heat transmission and conductive capability, so be widely used in the various fields such as Aero-Space traffic building engineering machinery engineering Electrochemical Engineering environmental engineering.Wellability is one of critical index of porous metal material, has material impact to fluid laws of motion in porous metal material and relevant production run.
Usually, wetting property judges by measuring liquid working substance drop spread condition on porous media material.At present, dropping liquid observation and imbibition weight method is mainly contained for the measurement of porous media material wetting property.Dropping liquid observation adopts high-speed camera instrument to take the diffusion process of drop in porous media material, but due to liquid working substance be colourless liquid mostly, be with the naked eye difficult to accurately judge the diffusion edge of drop in porous medium.For highlighting the diffusion process of liquid working substance in porous medium, some researcher attempts adding the photosensitive elements such as fluorescent dye in liquid working substance, but now the physical property (as surface tension, viscosity etc.) of liquid working substance also there occurs change, the measurement distortion caused thus cannot be rejected, and have impact on the accuracy of measurement result.Imbibition weight method is that porous media material is put into liquid working substance a period of time, weighs porous media material wetting property good and bad by the variable quantity of its quality before and after experiments of measuring.The method can reflect the wellability of porous media material to a certain extent, but can not infiltrate homogeneity to it and make quantitative evaluation, therefore comprehensively can not reflect the infiltration quality of porous media material.As seen from the above, existing method of testing is all difficult to realize comprehensive, accurate, the quantitative examination to porous media material wetting property.Therefore, novel method need be adopted accurately to judge that liquid working substance is at porous medium diffusion edge, quantitative measurment.
Summary of the invention
The object of the invention is to the shortcoming and defect overcoming above-mentioned prior art, provide can accurately identify drop diffusion edge, quantitatively obtain diffusion zone diameter and rate of propagation based on Digital Image Processing porous metal material wetting property measurement mechanism and method.
The present invention is achieved through the following technical solutions:
Based on the porous metal material wetting property measurement mechanism of Digital Image Processing, comprising the test platform 6 for placing sample 1, being placed in the super depth-of-field microscope 3 above platform 6, the computing machine 4 be connected with super depth-of-field microscope 3, being placed in the syringe 2 for injecting deionized water 5 of platform 6 side; A Matlab Digital Image Processing module is comprised in described computing machine 4.
Described syringe 5 is arranged on the side of platform 6 by travel(l)ing rest.
Described syringe 5 be inclined and mounted on travel(l)ing rest, angle of inclination is horizontal plane angle 30 ° to 50 °.
Above-mentioned measurement mechanism, to the measuring method of porous metal material wetting property, comprises the steps:
(1) sample 1 getting porous metal material to be tested is placed in super depth of field test platform and fixes;
(2) regulate super depth-of-field microscope 3 to make sample to be tested present image clearly, shooting is amplified picture and is recorded enlargement factor s;
(3) open the recording function of super depth-of-field microscope 3, on sample 1, drip 2 μ l deionized waters 5 with syringe 2, record the diffusion process of deionized water 5 in sample 1, and monitoring record is sent to computing machine 4 and stores;
(4) process monitoring record to determine drop diffusion edge, obtain diffusion zone diameter and the rate of diffusion of deionized water 5 drop.
In described step (4), the method for process monitoring record is as follows:
(1-1) catch each frame picture of monitoring record continuously and choose picture when not dripping deionized water, it can be used as background picture;
(1-2) choose drop and just started the picture of picture when spreading as 0 moment, according to video recording sample frequency, calculate choose not picture in the same time as diffusion picture;
(1-3) read the pixel value of background picture and diffusion picture by Matlab Digital Image Processing module, two width picture pixels values are done subtraction and obtains error image, namely obtain the diffusion zone edge of deionized water 5 drop;
(1-4) measure drop diffusion zone size and be multiplied by Nonlinear magnify ratio s and obtain diffusion zone diameter, and then obtain rate of diffusion by diffusion time.
Described sample 1 is electrodeposit metals Porous Cu film.
The present invention, relative to prior art, has following advantage and effect:
The present invention utilizes drop in porous metal material, spread the feature causing diffusion zone image image pixel compared with background image to change, digital image processing method is used accurately to obtain drop diffusion process and drop diffusion zone edge, and then quantitatively calculate drop diffusion diameter and drop rate of diffusion, solve the problem that in dropping liquid observation, drop diffusion zone edge fog is not easily located.
The present invention is not only applicable to porous metal material wellability and measures, and may be used for other porous media material wellability yet and measures.Special time measuring method is particularly useful for measuring in porous metal material wellability water white working medium, and without the need to adding the adjuvants such as fluorescent dye, working medium physical property can not be caused to change, thus can obtain porous metal material wetting property exactly.
The present invention can directly obtain drop diffusion process and diffusion zone, by diffusion zone shape and then the homogeneity quality evaluating porous metal material diffusion, efficiently solves the incomplete defect of measurement result in imbibition weight method.
Accompanying drawing explanation
Fig. 1 is proving installation schematic diagram of the present invention; In figure: sample 1; Syringe 2; Super depth-of-field microscope 3; Computing machine 4; Deionized water 5; Platform 6.
Fig. 2 is the surperficial microstructure of A sample.
Fig. 3 is the surperficial microstructure of B sample.
Fig. 4 is for using the A sample that obtains of digital image methods not the first difference sem image in the same time.
Fig. 5 is for using the A sample that obtains of digital image methods not the second difference sem image in the same time.
Fig. 6 is for using the A sample that obtains of digital image methods not the third difference sem image in the same time.
Fig. 7 is for using the B sample that obtains of digital image methods not the first difference sem image in the same time.
Fig. 8 is for using the B sample that obtains of digital image methods not the second difference sem image in the same time.
Fig. 9 is for using the B sample that obtains of digital image methods not the third difference sem image in the same time.
Figure 10 is the diffusion zone radius measure of the change result in time of porous metal material prepared by two kinds of different technical parameters.
Figure 11 is the rate of diffusion measure of the change result in time of porous metal material prepared by two kinds of different technical parameters.
Embodiment
Below in conjunction with Fig. 1 to 11 specific embodiment, the present invention is more specifically described in detail.
(1) prepare the electro-deposition Porous Cu film of two kinds of different technical parameters, their technological parameters respectively:
In Fig. 2, A sample: current density 0.1A/cm
2, sedimentation time 150s;
In Fig. 3, B sample: current density 1A/cm
2, sedimentation time 15s;
(2) the A sample in Fig. 2 and Fig. 3, B sample is chosen respectively, be placed on super depth-of-field microscope worktable, focus and obtain enlarged image clearly, pictures taken also records image magnification, then on two kinds of different samples, drip 2 μ l deionized waters with microsyringe and record the diffusion process of drop on different sample with on super depth-of-field microscope, writing time is 10s, and video recording sample thief frequency is 28 frames/s, and operating temperature is 21 DEG C;
(3) catch each frame picture of two monitoring records respectively continuously, extract background picture;
(4) choose drop to spread initial picture it is numbered n, choosing picture number is n+14, the picture of n+28, namely choosing drop diffusion time on sample is 0.5s, the picture of 1s is as diffusion picture (diffusion time here can be chosen as the case may be voluntarily), use Matlab software to carry out difference process to background picture and diffusion picture, obtain error image, handling procedure is specific as follows:
% reads background picture pixel
background＝imread(‘i_background.bmp’)；
R_back＝background(:,:,1)；
G_back＝background(:,:,2)；
B_back＝background(:,:,3)；
% reads diffusion picture pixels
i_wetting＝imread(‘i_wetting.bmp’)；
R_wetting＝i_wetting(:,:,1)；
G_wetting＝i_wetting(:,:,2)；
B_wetting＝i_wetting(:,:,3)；
What % background picture pixel was subtracted each other with diffusion picture pixels arrives difference picture pixels
R_difference＝R_wetting-R_back；
G_difference＝G_wetting-G_back；
B_difference＝B_wetting-B_back；
i_difference＝cat(3,R_difference,G_difference,B_difference)；
% exports error image
imwrite(i_difference,’i_difference’)；
Error image aftertreatment: iris out drop diffusion zone, and calculate drop diffusion zone radius according to the image magnification that the super depth of field is taken, and then obtain rate of diffusion according to diffusion time; The diffusion uniformity that technological parameter prepares sample is evaluated according to the shape of drop diffusion zone.
As mentioned above, the present invention is by the diffusion process of super depth-of-field microscope record drop on porous metal material, and process monitoring record is quantitatively to obtain drop diffusion edge and rate of propagation.Drop of the present invention spreads the feature causing diffusion zone image image pixel compared with background image to change in porous metal material, digital image processing techniques are used accurately to obtain drop diffusion process and drop diffusion zone edge, and then quantitatively calculate drop diffusion diameter and drop rate of diffusion, solve the problem that in dropping liquid observation, drop diffusion zone edge fog is not easily located, especially the diffusion of colourless transparent liquid working medium is applicable to, for the infiltrating test evaluation of porous metal material provides reliable means, the method can also expansive approach in the infiltrating test of other porous media material.
Embodiment of the present invention is not restricted to the described embodiments; other are any do not deviate from Spirit Essence of the present invention and principle under do change, modification, substitute, combine, simplify; all should be the substitute mode of equivalence, be included within protection scope of the present invention.
Claims (6)
1., based on a porous metal material wetting property measurement mechanism for Digital Image Processing, it is characterized in that comprising the test platform (6) for placing sample (1), being placed in the super depth-of-field microscope (3) of platform (6) top, the computing machine (4) be connected with super depth-of-field microscope (3), being placed in the syringe (2) for injecting deionized water (5) of platform (6) side; A Matlab Digital Image Processing module is comprised in described computing machine (4).
2. measurement mechanism according to claim 1, is characterized in that: described syringe (5) is arranged on the side of platform (6) by travel(l)ing rest.
3. measurement mechanism according to claim 2, is characterized in that: described syringe (5) be inclined and mounted on travel(l)ing rest, angle of inclination is horizontal plane angle 30 ° to 50 °.
4. adopt measurement mechanism described in claim 1 or 2 or 3 to the measuring method of porous metal material wetting property, to it is characterized in that, comprise the steps:
(1) sample (1) getting porous metal material to be tested is placed in super depth of field test platform and fixes;
(2) regulate super depth-of-field microscope (3) to make sample to be tested present image clearly, shooting is amplified picture and is recorded enlargement factor s;
(3) recording function of super depth-of-field microscope (3) is opened, with syringe (2) at the upper 2 μ l deionized water (5) of sample (1), record deionized water (5) diffusion process in sample (1), and monitoring record is sent to computing machine (4) storage;
(4) process monitoring record to determine drop diffusion edge, obtain diffusion zone diameter and the rate of diffusion of deionized water (5) drop.
5. measuring method according to claim 4, is characterized in that: in described step (4), and the method for process monitoring record is as follows:
(1-1) catch each frame picture of monitoring record continuously and the picture chosen when not dripping deionized water, it can be used as background picture;
(1-2) choose drop and just started the picture of picture when spreading as 0 moment, according to video recording sample frequency, calculate choose not picture in the same time as diffusion picture;
(1-3) read the pixel value of background picture and diffusion picture by Matlab Digital Image Processing module, two width picture pixels values are done subtraction and obtains error image, namely obtain the diffusion zone edge of deionized water (5) drop;
(1-4) measure drop diffusion zone size and be multiplied by Nonlinear magnify ratio s and obtain diffusion zone diameter, and then obtain rate of diffusion by diffusion time.
6. measuring method according to claim 4, is characterized in that: described sample (1) is electrodeposit metals Porous Cu film.
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Cited By (8)
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| CN105865979A (en) * | 2016-03-30 | 2016-08-17 | 南京邮电大学 | Apparatus and method for measuring electrowetting effect of micro-droplet |
| CN106872335A (en) * | 2017-03-17 | 2017-06-20 | 华南理工大学 | Porous material wetting property measurement apparatus and method based on infrared image processing |
| CN108414404A (en) * | 2018-01-24 | 2018-08-17 | 常德力元新材料有限责任公司 | The detection determination method of porous metal material wellability |
| CN109187290A (en) * | 2018-07-19 | 2019-01-11 | 天津科技大学 | A kind of spheric granules coating image processing method based on MATLAB |
| CN112461713A (en) * | 2019-09-06 | 2021-03-09 | 上海恩捷新材料科技有限公司 | Device and method for testing wettability of lithium ion battery diaphragm |
| CN112697649A (en) * | 2019-10-23 | 2021-04-23 | 洛阳超特电源科技有限公司 | Method for testing wettability of battery electrolyte |
| CN113834758A (en) * | 2021-09-22 | 2021-12-24 | 蜂巢能源科技有限公司 | Method and device for testing battery core pole group wetting performance |
| CN117153713A (en) * | 2023-10-25 | 2023-12-01 | 江苏惠达电子科技有限责任公司 | Method, system and equipment control method for detecting residual pollutants of frequency components |
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| CN105865979A (en) * | 2016-03-30 | 2016-08-17 | 南京邮电大学 | Apparatus and method for measuring electrowetting effect of micro-droplet |
| CN105865979B (en) * | 2016-03-30 | 2019-03-12 | 南京邮电大学 | A kind of apparatus and method measuring microlayer model electrowetting |
| CN106872335A (en) * | 2017-03-17 | 2017-06-20 | 华南理工大学 | Porous material wetting property measurement apparatus and method based on infrared image processing |
| CN106872335B (en) * | 2017-03-17 | 2023-04-21 | 华南理工大学 | Device and method for measuring infiltration performance of porous material based on infrared image processing |
| CN108414404A (en) * | 2018-01-24 | 2018-08-17 | 常德力元新材料有限责任公司 | The detection determination method of porous metal material wellability |
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| CN109187290A (en) * | 2018-07-19 | 2019-01-11 | 天津科技大学 | A kind of spheric granules coating image processing method based on MATLAB |
| CN112461713A (en) * | 2019-09-06 | 2021-03-09 | 上海恩捷新材料科技有限公司 | Device and method for testing wettability of lithium ion battery diaphragm |
| CN112697649A (en) * | 2019-10-23 | 2021-04-23 | 洛阳超特电源科技有限公司 | Method for testing wettability of battery electrolyte |
| CN113834758A (en) * | 2021-09-22 | 2021-12-24 | 蜂巢能源科技有限公司 | Method and device for testing battery core pole group wetting performance |
| CN117153713A (en) * | 2023-10-25 | 2023-12-01 | 江苏惠达电子科技有限责任公司 | Method, system and equipment control method for detecting residual pollutants of frequency components |
| CN117153713B (en) * | 2023-10-25 | 2024-02-02 | 江苏惠达电子科技有限责任公司 | Method, system and equipment control method for detecting residual pollutants of frequency components |
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