CN105424574A - Quantitative characterization method for foam aluminum alloy porosity and dispersity - Google Patents
Quantitative characterization method for foam aluminum alloy porosity and dispersity Download PDFInfo
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- CN105424574A CN105424574A CN201510762117.8A CN201510762117A CN105424574A CN 105424574 A CN105424574 A CN 105424574A CN 201510762117 A CN201510762117 A CN 201510762117A CN 105424574 A CN105424574 A CN 105424574A
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- 239000006260 foam Substances 0.000 title claims abstract description 26
- 229910000838 Al alloy Inorganic materials 0.000 title claims abstract description 17
- 238000012512 characterization method Methods 0.000 title abstract description 4
- 238000000034 method Methods 0.000 claims abstract description 39
- 238000004043 dyeing Methods 0.000 claims abstract description 25
- 238000001035 drying Methods 0.000 claims abstract description 21
- 238000005259 measurement Methods 0.000 claims abstract description 17
- 238000004364 calculation method Methods 0.000 claims abstract description 12
- 238000004140 cleaning Methods 0.000 claims abstract description 11
- 239000011148 porous material Substances 0.000 claims abstract description 11
- 238000005520 cutting process Methods 0.000 claims abstract description 6
- 239000006185 dispersion Substances 0.000 claims description 32
- 230000000007 visual effect Effects 0.000 claims description 31
- 238000000227 grinding Methods 0.000 claims description 30
- 239000003086 colorant Substances 0.000 claims description 25
- CSCPPACGZOOCGX-UHFFFAOYSA-N Acetone Chemical group CC(C)=O CSCPPACGZOOCGX-UHFFFAOYSA-N 0.000 claims description 20
- XAGFODPZIPBFFR-UHFFFAOYSA-N aluminium Chemical compound [Al] XAGFODPZIPBFFR-UHFFFAOYSA-N 0.000 claims description 18
- 229910052782 aluminium Inorganic materials 0.000 claims description 18
- 239000004411 aluminium Substances 0.000 claims description 16
- XEKOWRVHYACXOJ-UHFFFAOYSA-N Ethyl acetate Chemical compound CCOC(C)=O XEKOWRVHYACXOJ-UHFFFAOYSA-N 0.000 claims description 15
- 238000004458 analytical method Methods 0.000 claims description 15
- XUPYJHCZDLZNFP-UHFFFAOYSA-N butyl butanoate Chemical compound CCCCOC(=O)CCC XUPYJHCZDLZNFP-UHFFFAOYSA-N 0.000 claims description 10
- 239000002994 raw material Substances 0.000 claims description 10
- 244000137852 Petrea volubilis Species 0.000 claims description 5
- FHNINJWBTRXEBC-UHFFFAOYSA-N Sudan III Chemical compound OC1=CC=C2C=CC=CC2=C1N=NC(C=C1)=CC=C1N=NC1=CC=CC=C1 FHNINJWBTRXEBC-UHFFFAOYSA-N 0.000 claims description 5
- 239000000428 dust Substances 0.000 claims description 5
- 239000004519 grease Substances 0.000 claims description 5
- 238000010191 image analysis Methods 0.000 claims description 5
- 239000012535 impurity Substances 0.000 claims description 5
- 239000003350 kerosene Substances 0.000 claims description 5
- 239000002932 luster Substances 0.000 claims description 5
- 239000011159 matrix material Substances 0.000 claims description 5
- 239000002245 particle Substances 0.000 claims description 5
- 238000002360 preparation method Methods 0.000 claims description 5
- 230000002000 scavenging effect Effects 0.000 claims description 5
- 238000004506 ultrasonic cleaning Methods 0.000 claims description 5
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 5
- 239000000463 material Substances 0.000 abstract description 13
- 238000012545 processing Methods 0.000 abstract description 5
- 238000005516 engineering process Methods 0.000 abstract description 4
- 238000003754 machining Methods 0.000 abstract 1
- 238000012805 post-processing Methods 0.000 abstract 1
- 230000005587 bubbling Effects 0.000 description 2
- 238000009826 distribution Methods 0.000 description 2
- 238000012876 topography Methods 0.000 description 2
- 230000006835 compression Effects 0.000 description 1
- 238000007906 compression Methods 0.000 description 1
- 238000013016 damping Methods 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000000691 measurement method Methods 0.000 description 1
- 230000035515 penetration Effects 0.000 description 1
- 230000035699 permeability Effects 0.000 description 1
- 230000000704 physical effect Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 239000000758 substrate Substances 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
- G01N15/08—Investigating permeability, pore-volume, or surface area of porous materials
- G01N15/088—Investigating volume, surface area, size or distribution of pores; Porosimetry
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N1/00—Sampling; Preparing specimens for investigation
- G01N1/28—Preparing specimens for investigation including physical details of (bio-)chemical methods covered elsewhere, e.g. G01N33/50, C12Q
- G01N1/30—Staining; Impregnating ; Fixation; Dehydration; Multistep processes for preparing samples of tissue, cell or nucleic acid material and the like for analysis
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N1/00—Sampling; Preparing specimens for investigation
- G01N1/28—Preparing specimens for investigation including physical details of (bio-)chemical methods covered elsewhere, e.g. G01N33/50, C12Q
- G01N1/34—Purifying; Cleaning
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N1/00—Sampling; Preparing specimens for investigation
- G01N1/28—Preparing specimens for investigation including physical details of (bio-)chemical methods covered elsewhere, e.g. G01N33/50, C12Q
- G01N1/30—Staining; Impregnating ; Fixation; Dehydration; Multistep processes for preparing samples of tissue, cell or nucleic acid material and the like for analysis
- G01N2001/302—Stain compositions
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- Life Sciences & Earth Sciences (AREA)
- Health & Medical Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Pathology (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Immunology (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- Molecular Biology (AREA)
- Biomedical Technology (AREA)
- Engineering & Computer Science (AREA)
- Dispersion Chemistry (AREA)
- Investigating And Analyzing Materials By Characteristic Methods (AREA)
- Investigating Or Analysing Biological Materials (AREA)
- Investigating Or Analysing Materials By Optical Means (AREA)
Abstract
The invention relates to a quantitative characterization method for the foam aluminum alloy porosity and dispersity, and belongs to characterization methods for foam aluminum alloy characteristic parameters. The method comprises the steps of sample cutting, cleaning, dyeing, drying, pregrinding, postprocessing, image obtaining, processing and porosity measurement and calculation and comprises the specific steps that at least three view field photos are selected, the porosity average value is obtained, the porosity P1 of the layer is obtained, the number N of holes is calculated and divided by the view field area S to obtain the dispersity di, the average value is obtained, and the dispersity D of the layer is obtained. The method has the advantages that the permeation and dyeing processing is directly carried out on the fracture surface of a material so as to facilitate recognition, and influences of the material texture and machining technology are avoided. By means of the method, the porosity, the average diameter and the pore dispersity can be directly measured so as to evaluate the material further, the measuring stability is good, and little interference of human factors exists.
Description
Technical field
The invention belongs to the characterizing method of foam aluminium alloy characteristic parameter, refer in particular to the characterizing method to foam aluminium alloy porosity and dispersion degree.
Background technology
Foamed aluminium has that density is low, rigidity is high and magnetic permeability is low and the characteristic such as damping and amortization is good, the feature of foamed aluminium uses porosity (Porosityrate), hole dispersion degree (SectionPorosityDisparity), hole dimension, hole shape usually, and the parameters such as the thickness of the orientation in hole and hole wall and hole rib characterize.Researcher does a lot of work in relation with between the mechanical property of foamed aluminium and processing characteristics in parameters such as shape of hole wall, hole density and pore diameter distributions, but the research work in the bubbling efficiency and foamed aluminium of assess foam aluminium foam process in foam homogeneity is few.Bubbling efficiency is assess foam aluminum for the important indicator of production efficiency and yield rate; and foam homogeneity and foamed aluminium mechanics and other physical properties have direct association; because in Tension and Compression experiment, the stress of foamed aluminium is concentrated in the uneven position of foam usually.In the homogeneity sign of foamed aluminium foam, yet there are no a kind of report of quantitatively characterizing method, traditional method is all adopt range estimation to carry out qualitative characterization.If find after range estimation foamed aluminium section not have obviously excessive or too small bubble and pore diameter distribution is narrow, that thinks that foam in aluminum foam product distributes has good uniformity; Otherwise, then foam skewness in foamed aluminium is thought.The method that this range estimation characterizes foam homogeneity has some limitations, and is mainly reflected in and can not quantizes the foam homogeneity of foamed aluminium.
Summary of the invention
The invention provides the quantitatively characterizing method of a kind of foam aluminium alloy porosity and dispersion degree, there is the problem of certain limitation with the method solving range estimation sign foam homogeneity.
The technical scheme that the present invention takes is: comprise the following steps:
(1) sample preparation
Adopt the mode of Linear cut to cut sample from detected sample, specification is 20mm × 20mm × 20mm;
(2) cleaning of sample
Carry out Ultrasonic Cleaning to this sample, clean-out system is acetone, and remove surperficial grease, aluminium bits impurity, scavenging period is 2-3 minute; Sample after cleaning is placed on natural drying on specimen holder;
(3) dyeing of sample
1) coloring agent is made up of the raw material of following quality volume portion rate:
Tonyred 0.8 part ~ 1.0 parts,
8 ~ 12 parts, ethyl acetate;
Aviation kerosene 60 ~ 70 parts;
8 ~ 12 parts, terebinthina;
Butyl butyrate 10 ~ 20 parts,
Be contained in semienclosed container after above-mentioned raw materials is mixed;
2) sample is placed on specimen mounting, all immerses and be equipped with in the container of coloring agent, environment temperature 10-30 DEG C, immerse time 8-12 minute;
(4) oven dry of sample
After sample reaches infiltrating time, taken out by sample and drip, make unnecessary coloring agent drop onto in container, be placed in drying baker by the sample of dyeing and dry, temperature is 45-50 DEG C, and the time is 5-8 minute;
(5) pre-grinding of sample
The sample of oven dry is placed on metallographic pre-mill, carries out low speed pre-grinding with 800-1000 sand paper, remove the coloring agent on surface, expose the gloss of aluminium alloy;
(6) aftertreatment of sample
Sample surfaces clean water after pre-grinding, removes particle and the dust on surface, dry with hair dryer, and after dyeing pre-grinding, specimen surface is red hole and the matrix of light tone metallic luster;
(7) acquisition of image
Sample behind step (six) place is placed on metaloscope, is taken pictures in the dyeing surface that also pre-grinding is cleared up, at least choose three visual field photos, respectively numbering 1,2,3 ... n, enlargement factor is 2 times;
(8) process of image
Choose the metallographic examination software with image analysis function, adopt U.S. imageproplus analysis of metallographic software to analyze treated photo, dye as the region of redness is pore region, be adjusted to black gray expandable, region through pre-grinding process is highlighted, is adjusted to white;
(9) measurements and calculations of porosity
Analysis on Selecting function, setting threshold value, analyze, obtain the ratio that color is grey, black part accounts for whole visual field, the ratio of interstitial surface area and whole image area can be obtained, i.e. porosity, at least choose three visual field photos, obtain porosity p1, p2, p3 respectively ... pn, averages, and obtains this layer porosity P1;
(10) measurements and calculations of dispersion degree
Analysis on Selecting function, chooses at least three visual fields, measures the quantity N of hole respectively, obtains dispersion degree di simultaneously, average, obtain the dispersion degree D of this layer divided by visual field area S.
Also comprise:
The continuation of (11) sample is measured
If need the porosity and the dispersion degree that continue these other positions of sample of measurement, sample is placed in acetone soln and cleans, thorough removing coloring agent, clean rear natural drying or be placed in drying oven dry, the position cutting that the method for taking out rear Linear cut is needing to measure, then repeats step (two) ~ (ten).
The visual field number of pictures chosen in step of the present invention (seven) is 3 ~ 9.
The visual field number of pictures chosen in step of the present invention (nine) is 3 ~ 9.
The visual field number of pictures chosen in step of the present invention (ten) is 3 ~ 9.
Advantage of the present invention is: the method for traditional calculating porosity adopts weight method to calculate.Because its calculating is carried out based on dense substrate material.Because the processing technology of foamed material is different from dense material, thus its density and dense material often have a great difference, and the result of calculation after testing can be caused to have deviation.This method does not consider the density of material, and makes directly to carry out penetration dyeing process to the section of material so that identify, does not affect by material and processing technology.Affect the pore size that one of principal element of material noise reduction is foam, even if the porosity of material is the same, also may there is the different situation of pore size, quantity and dispersion degree.Traditional porosity measurement method can not provide the index characterizing pore mean diameters and dispersion degree.The method adopted by the present invention directly can measure porosity, average diameter size, hole dispersion degree, to realize the further assessment to material.Measuring method precision provided by the invention is high, and Measurement sensibility is good, is subject to interference from human factor few.
Accompanying drawing explanation
Fig. 1 is the surface topography map of sample before dyeing;
Fig. 2 is the surface topography map of sample after dyeing;
Fig. 3 be through process black-ash-Bai image.
Embodiment
Embodiment 1
Comprise the following steps:
(1) sample preparation
Adopt the mode of Linear cut to cut sample from detected sample, specification is 20mm × 20mm × 20mm;
(2) cleaning of sample
Carry out Ultrasonic Cleaning to this sample, clean-out system is acetone, and remove surperficial grease, aluminium bits impurity, scavenging period is 2 minutes; Sample after cleaning is placed on natural drying on specimen holder;
(3) dyeing of sample
1) coloring agent is made up of the raw material of following quality volume portion rate:
Tonyred 0.8g,
Ethyl acetate 8ml;
Aviation kerosene 60ml;
Terebinthina 8ml;
Butyl butyrate 10ml,
Be contained in semienclosed container after above-mentioned raw materials is mixed;
2) sample is placed on specimen mounting, all immerses and be equipped with in the container of coloring agent, environment temperature 30 DEG C, immerse 8 minutes time;
(4) oven dry of sample
After sample reaches infiltrating time, taken out by sample and drip, make unnecessary coloring agent drop onto in container, be placed in drying baker by the sample of dyeing and dry, temperature is 45 DEG C, and the time is 8 minutes;
(5) pre-grinding of sample
The sample of oven dry is placed on metallographic pre-mill, carries out low speed pre-grinding with No. 800 sand paper, remove the coloring agent on surface, expose the gloss of aluminium alloy;
(6) aftertreatment of sample
Sample surfaces clean water after pre-grinding, removes particle and the dust on surface, dry with hair dryer, and after dyeing pre-grinding, specimen surface is red hole and the matrix of light tone metallic luster;
(7) acquisition of image
Be placed on metaloscope by the sample behind step (six) place, take pictures to the dyeing surface that also pre-grinding is cleared up, three visual field photos chosen by each sample, respectively numbering 1,2,3, and enlargement factor is 2 times;
(8) process of image
Choose the metallographic examination software with image analysis function, adopt U.S. imageproplus analysis of metallographic software to analyze treated photo, dye as the region of redness is pore region, be adjusted to black gray expandable, region through pre-grinding process is highlighted, is adjusted to white;
(9) measurements and calculations of porosity
Analysis on Selecting function, setting threshold value, analyze, obtain the ratio that color is grey, black part accounts for whole visual field, the ratio of interstitial surface area and whole image area can be obtained, i.e. porosity, choose three visual fields, obtain porosity p1, p2, p3 respectively, average, obtain this layer porosity P1;
(10) measurements and calculations of dispersion degree
Analysis on Selecting function, chooses three visual fields, measures the quantity N of hole respectively, obtains dispersion degree di simultaneously, get three mean values, obtain the dispersion degree D of this layer divided by visual field area S;
The continuation of (11) sample is measured
If need the porosity and the dispersion degree that continue these other positions of sample of measurement, sample is placed in acetone soln and cleans, thorough removing coloring agent, clean rear natural drying or be placed in drying oven dry, the position cutting that the method for taking out rear Linear cut is needing to measure, then repeats step (two) ~ (ten).
Embodiment 2
Comprise the following steps:
(1) sample preparation
Adopt the mode of Linear cut to cut sample from detected sample, specification is 20mm × 20mm × 20mm;
(2) cleaning of sample
Carry out Ultrasonic Cleaning to this sample, clean-out system is acetone, and remove surperficial grease, aluminium bits impurity, scavenging period is 2.5 minutes; Sample after cleaning is placed on natural drying on specimen holder;
(3) dyeing of sample
1) coloring agent is made up of the raw material of following quality volume portion rate:
Tonyred 0.9g,
Ethyl acetate 10ml;
Aviation kerosene 65ml;
Terebinthina 10ml;
Butyl butyrate 15ml,
Be contained in semienclosed container after above-mentioned raw materials is mixed;
2) sample is placed on specimen mounting, all immerses and be equipped with in the container of coloring agent, environment temperature 20 DEG C, immerse 10 minutes time;
(4) oven dry of sample
After sample reaches infiltrating time, taken out by sample and drip, make unnecessary coloring agent drop onto in container, be placed in drying baker by the sample of dyeing and dry, temperature is 48 DEG C, and the time is 6.5 minutes;
(5) pre-grinding of sample
The sample of oven dry is placed on metallographic pre-mill, carries out low speed pre-grinding with No. 900 sand paper, remove the coloring agent on surface, expose the gloss of aluminium alloy;
(6) aftertreatment of sample
Sample surfaces clean water after pre-grinding, removes particle and the dust on surface, dry with hair dryer, and after dyeing pre-grinding, specimen surface is red hole and the matrix of light tone metallic luster;
(7) acquisition of image
Be placed on metaloscope by the sample behind step (six) place, take pictures to the dyeing surface that also pre-grinding is cleared up, 9 visual field photos chosen by each sample, respectively numbering 1,2,3 ... 9, enlargement factor is 2 times;
(8) process of image
Choose the metallographic examination software with image analysis function, adopt U.S. imageproplus analysis of metallographic software to analyze treated photo, dye as the region of redness is pore region, be adjusted to black gray expandable, region through pre-grinding process is highlighted, is adjusted to white;
(9) measurements and calculations of porosity
Analysis on Selecting function, setting threshold value, analyze, obtain the ratio that color is grey, black part accounts for whole visual field, the ratio of interstitial surface area and whole image area can be obtained, i.e. porosity, choose three visual fields, obtain porosity p1, p2, p3 respectively ... p9, averages, and obtains this layer porosity P1;
(10) measurements and calculations of dispersion degree
Analysis on Selecting function, chooses nine visual fields, measures the quantity N of hole respectively, obtains dispersion degree di simultaneously, get three mean values, obtain the dispersion degree D of this layer divided by visual field area S;
The continuation of (11) sample is measured
If need the porosity and the dispersion degree that continue these other positions of sample of measurement, sample is placed in acetone soln and cleans, thorough removing coloring agent, clean rear natural drying or be placed in drying oven dry, the position cutting that the method for taking out rear Linear cut is needing to measure, then repeats step (two) ~ (ten).
Embodiment 3
Comprise the following steps:
(1) sample preparation
Adopt the mode of Linear cut to cut sample from detected sample, specification is 20mm × 20mm × 20mm;
(2) cleaning of sample
Carry out Ultrasonic Cleaning to this sample, clean-out system is acetone, and remove surperficial grease, aluminium bits impurity, scavenging period is 2-3 minute; Sample after cleaning is placed on natural drying on specimen holder;
(3) dyeing of sample
1) coloring agent is made up of the raw material of following quality volume portion rate:
Tonyred 1.0g,
Ethyl acetate 12ml;
Aviation kerosene 70ml;
Terebinthina 12ml;
Butyl butyrate 20ml,
Be contained in semienclosed container after above-mentioned raw materials is mixed;
2) sample is placed on specimen mounting, all immerses and be equipped with in the container of coloring agent, environment temperature 10 DEG C, immerse 12 minutes time;
(4) oven dry of sample
After sample reaches infiltrating time, taken out by sample and drip, make unnecessary coloring agent drop onto in container, be placed in drying baker by the sample of dyeing and dry, temperature is 50 DEG C, and the time is 5 minutes;
(5) pre-grinding of sample
The sample of oven dry is placed on metallographic pre-mill, carries out low speed pre-grinding with No. 1000 sand paper, remove the coloring agent on surface, expose the gloss of aluminium alloy;
(6) aftertreatment of sample
Sample surfaces clean water after pre-grinding, removes particle and the dust on surface, dry with hair dryer, and after dyeing pre-grinding, specimen surface is red hole and the matrix of light tone metallic luster;
(7) acquisition of image
Be placed on metaloscope by the sample behind step (six) place, take pictures to the dyeing surface that also pre-grinding is cleared up, six visual field photos at least chosen by each sample, respectively numbering 1,2,3 ... 6, enlargement factor is 2 times;
(8) process of image
Choose the metallographic examination software with image analysis function, adopt U.S. imageproplus analysis of metallographic software to analyze treated photo, dye as the region of redness is pore region, be adjusted to black gray expandable, region through pre-grinding process is highlighted, is adjusted to white;
(9) measurements and calculations of porosity
Analysis on Selecting function, setting threshold value, analyze, obtain the ratio that color is grey, black part accounts for whole visual field, the ratio of interstitial surface area and whole image area can be obtained, i.e. porosity, choose three visual fields, obtain porosity p1, p2, p3 respectively ... p6, averages, and obtains this layer porosity P1;
(10) measurements and calculations of dispersion degree
Analysis on Selecting function, chooses six visual fields, measures the quantity N of hole respectively, obtains dispersion degree di simultaneously, get three mean values, obtain the dispersion degree D of this layer divided by visual field area S;
The continuation of (11) sample is measured
If need the porosity and the dispersion degree that continue these other positions of sample of measurement, sample is placed in acetone soln and cleans, thorough removing coloring agent, clean rear natural drying or be placed in drying oven dry, the position cutting that the method for taking out rear Linear cut is needing to measure, then repeats step (two) ~ (ten).
Claims (5)
1. a quantitatively characterizing method for foam aluminium alloy porosity and dispersion degree, is characterized in that comprising the following steps:
(1) sample preparation
Adopt the mode of Linear cut to cut sample from detected sample, specification is 20mm × 20mm × 20mm;
(2) cleaning of sample
Carry out Ultrasonic Cleaning to this sample, clean-out system is acetone, and remove surperficial grease, aluminium bits impurity, scavenging period is 2-3 minute; Sample after cleaning is placed on natural drying on specimen holder;
(3) dyeing of sample
1) coloring agent is made up of the raw material of following quality volume portion rate:
Tonyred 0.8 part ~ 1.0 parts,
8 ~ 12 parts, ethyl acetate;
Aviation kerosene 60 ~ 70 parts;
8 ~ 12 parts, terebinthina;
Butyl butyrate 10 ~ 20 parts,
Be contained in semienclosed container after above-mentioned raw materials is mixed;
2) sample is placed on specimen mounting, all immerses and be equipped with in the container of coloring agent, environment temperature 10-30 DEG C, immerse time 8-12 minute;
(4) oven dry of sample
After sample reaches infiltrating time, taken out by sample and drip, make unnecessary coloring agent drop onto in container, be placed in drying baker by the sample of dyeing and dry, temperature is 45-50 DEG C, and the time is 5-8 minute;
(5) pre-grinding of sample
The sample of oven dry is placed on metallographic pre-mill, carries out low speed pre-grinding with 800-1000 sand paper, remove the coloring agent on surface, expose the gloss of aluminium alloy;
(6) aftertreatment of sample
Sample surfaces clean water after pre-grinding, removes particle and the dust on surface, dry with hair dryer, and after dyeing pre-grinding, specimen surface is red hole and the matrix of light tone metallic luster;
(7) acquisition of image
Sample behind step (six) place is placed on metaloscope, is taken pictures in the dyeing surface that also pre-grinding is cleared up, at least choose three visual field photos, respectively numbering 1,2,3 ... n, enlargement factor is 2 times;
(8) process of image
Choose the metallographic examination software with image analysis function, adopt U.S. imageproplus analysis of metallographic software to analyze treated photo, dye as the region of redness is pore region, be adjusted to black gray expandable, region through pre-grinding process is highlighted, is adjusted to white;
(9) measurements and calculations of porosity
Analysis on Selecting function, setting threshold value, analyze, obtain the ratio that color is grey, black part accounts for whole visual field, the ratio of interstitial surface area and whole image area can be obtained, i.e. porosity, at least choose three visual field photos, obtain porosity p1, p2, p3 respectively ... pn, averages, and obtains this layer porosity P1;
(10) measurements and calculations of dispersion degree
Analysis on Selecting function, chooses at least three visual fields, measures the quantity N of hole respectively, obtains dispersion degree di simultaneously, average, obtain the dispersion degree D of this layer divided by visual field area S.
2. the quantitatively characterizing method of a kind of foam aluminium alloy porosity according to claim 1 and dispersion degree, characterized by further comprising:
The continuation of (11) sample is measured
If need the porosity and the dispersion degree that continue these other positions of sample of measurement, sample is placed in acetone soln and cleans, thorough removing coloring agent, clean rear natural drying or be placed in drying oven dry, the position cutting that the method for taking out rear Linear cut is needing to measure, then repeats step (two) ~ (ten).
3. the quantitatively characterizing method of a kind of foam aluminium alloy porosity according to claim 1 and dispersion degree, is characterized in that: the visual field number of pictures chosen in step (seven) is 3 ~ 9.
4. the quantitatively characterizing method of a kind of foam aluminium alloy porosity according to claim 3 and dispersion degree, is characterized in that: the visual field number of pictures chosen in step (nine) is 3 ~ 9.
5. the quantitatively characterizing method of a kind of foam aluminium alloy porosity according to claim 3 and dispersion degree, is characterized in that: the visual field number of pictures chosen in step (ten) is 3 ~ 9.
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| CN201510762117.8A CN105424574A (en) | 2015-11-10 | 2015-11-10 | Quantitative characterization method for foam aluminum alloy porosity and dispersity |
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| CN201510762117.8A CN105424574A (en) | 2015-11-10 | 2015-11-10 | Quantitative characterization method for foam aluminum alloy porosity and dispersity |
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| CN109900616A (en) * | 2019-03-19 | 2019-06-18 | 江苏安全技术职业学院 | A kind of foam slurry material foam cell uniformity quantitatively characterizing method |
| CN111122457A (en) * | 2019-12-30 | 2020-05-08 | 珠海凯利得新材料有限公司 | Method for testing internal segregation of aluminum-based composite material |
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| CN113237809A (en) * | 2021-04-16 | 2021-08-10 | 贵州电网有限责任公司 | Composite insulator core rod porosity evaluation method |
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| CN114383988B (en) * | 2020-10-16 | 2024-04-05 | 深南电路股份有限公司 | Circuit board adsorption performance detection method and detection system |
| CN114383988A (en) * | 2020-10-16 | 2022-04-22 | 深南电路股份有限公司 | Method and system for detecting adsorption performance of circuit board |
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| CN113237809A (en) * | 2021-04-16 | 2021-08-10 | 贵州电网有限责任公司 | Composite insulator core rod porosity evaluation method |
| CN114252444A (en) * | 2021-12-15 | 2022-03-29 | 昆山晶微新材料研究院有限公司 | Method for counting internal structure of alloy and method for comparing zinc content in aluminum alloy |
| CN114563322A (en) * | 2022-01-28 | 2022-05-31 | 武汉理工大学 | Characterization and regulation method of aluminum alloy surface corrosion microstructure in aluminum alloy/polymer laminated material |
| CN114563322B (en) * | 2022-01-28 | 2023-12-19 | 武汉理工大学 | Characterization and regulation method for aluminum alloy surface corrosion microstructure in aluminum alloy/polymer laminated material |
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