CN110046589A - A kind of characterizing method of nano silver sintered body internal void size and spatial distribution based on image recognition technology and statistical theory - Google Patents
A kind of characterizing method of nano silver sintered body internal void size and spatial distribution based on image recognition technology and statistical theory Download PDFInfo
- Publication number
- CN110046589A CN110046589A CN201910322135.2A CN201910322135A CN110046589A CN 110046589 A CN110046589 A CN 110046589A CN 201910322135 A CN201910322135 A CN 201910322135A CN 110046589 A CN110046589 A CN 110046589A
- Authority
- CN
- China
- Prior art keywords
- distribution
- hole
- sintered body
- nano silver
- parameter
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/60—Analysis of geometric attributes
- G06T7/62—Analysis of geometric attributes of area, perimeter, diameter or volume
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/60—Type of objects
- G06V20/69—Microscopic objects, e.g. biological cells or cellular parts
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Geometry (AREA)
- Life Sciences & Earth Sciences (AREA)
- Biomedical Technology (AREA)
- General Health & Medical Sciences (AREA)
- Molecular Biology (AREA)
- Multimedia (AREA)
- Powder Metallurgy (AREA)
Abstract
A kind of characterizing method of nano silver sintered body internal void size and spatial distribution based on image recognition technology and statistical theory, belongs to power semiconductor device package field, steps are as follows: 1., which establish the hole based on sintering region, characterizes two-dimensional Cartesian system；2. establishing aperture image processing method and hole identification process；3. calculating the porosity of sintered body；4. establishing and extracting characterization parameter l, r and α of description pore-size and spatial distribution, and parameter l is normalized；5. statistics extracts the regularity of distribution of obtained Pore genesis l, r and α, and introduces the distribution trend that statistical distribution functions F characterizes above-mentioned each parameter, the characterization of nano silver sintered body random distribution hole is completed.
Description
Technical field
The present invention relates to the characterizing methods of a kind of pair of nano silver sintered body internal void size and spatial distribution, belong to power
Semiconductor packages field.
Background technique
As semiconductor industry develops, third generation semiconductor devices to integrated, high density, high power requirements increasingly
The heat dissipation problem of height, semiconductor devices is also outstanding day by day.It is wanted to meet radiating requirements and the reliability of third generation semiconductor devices
It asks, nano silver sintered body is due to being selected as semiconductor devices welding material with good thermally conductive and electric conductivity.However go out
The case where inevitably there are distribution of pores inside the distinctive kinetic mechanism of sintering process, nano silver sintered body, especially
When being that sintering process is not perfect enough, sintered body is usually porous structure, and mechanical property is far below expected theoretical value.Sintering process
All Alternatives such as sintering pressure, sintering temperature, heating rate, soaking time need to be considered simultaneously, when sintering pressure reduces, sintering temperature
When degree reduces, heating rate slows down, soaking time shortens, sintered body porosity increases, and sintered density reduces, shear strength drop
Low, fracture mode switchs to brittle fracture from ductile rupture.
Existing research shows that the size and spatial distribution of hole are also to influence sintered body mechanical property other than porosity
The key factor of energy.Such as when in the case where same porosity applying identical shear-type load, the smaller i.e. hole of pore-size is empty
Between be distributed wider, the stress of sintered body is bigger.Furthermore regional area big hole occurs also can reduce the power of sintered body significantly
Performance is learned, when local macrovoid is closer to loading surface or closer to boundary position, the stress of sintered body is bigger.Therefore, in order to more
The influence of the mechanical behavior and sintering process that are sintered silver-colored connector to sintered body distribution of pores is understood well, it is necessary to develop a kind of table
Sign method describes the random distribution of hole in these nano silver sintered bodies.
Summary of the invention
The nano silver sintered body internal holes based on image recognition technology and statistical theory that the object of the present invention is to provide a kind of
The characterizing method of gap size and spatial distribution is sintered intracorporal random distribution hole for describing nano silver.This method provides with
In the parameter of characterization hole and the process and algorithm of parameter extraction.
To achieve the goals above, the present invention uses following technical scheme, and specific steps include:
Step 1: establishing the hole based on sintering region characterizes two-dimensional Cartesian system, sintering zone is indicated using rectangle
Domain, the length and width in region are respectively a and b, and origin of the chosen area centroid as cartesian coordinate system；
Step 2: establishing aperture image processing method and hole identification process, nano silver sintered body electron microscope is shone
Piece is handled, and identifies the hole of nano silver sintered body internal random distribution；
Step 3: extracting the area of hole and sintering silver respectively, the porosity of nano silver sintered body is calculated；
Step 4: establish the parameter characterization system of nano silver sintered body random distribution hole, including pore size distribution with
Characterization parameter (i.e. pore radius parameter r, hole distance parameter l, hole angle parameter α) of space distribution situation etc..In extraction
Parameter is stated, and device to hole gap distance parameter l is normalized；
Step 5: the case where counting each characterization parameter numeric distribution extracted in the 4th step, is further introduced into statistics
Distribution function F characterizes the distribution trend of above-mentioned each parameter.Used distribution function includes, but are not limited to, and is uniformly distributed, refers to
Number distribution, normal distribution, Poisson distribution, Weibull distribution etc., complete nano silver sintered body internal void size and spatial distribution
Characterization.
The present invention gives the table applied to nano silver sintered body internal void size and spatial distribution by above step
Sign method.
Present invention has the main advantage that may be implemented using this method to nano silver sintered body internal void size and space
Distribution characteristics carries out quantificational description, provides for the further Forming Mechanism of development nano silver sintered body hole and Study on influencing factors
Basis.In addition, the parameter characterization result that can be obtained based on the present invention, which is established, has random hole using finite element simulation technology
The nano silver of gap network structure is sintered body Model, and then studies the material mechanical performance of sintered body and the relationship of distribution of pores.
Detailed description of the invention
Fig. 1 is the overall architecture of nano silver sintered body distribution of pores characterizing method proposed by the present invention
Fig. 2 is sintering Regional coordinate system schematic diagram
Fig. 3 is the image processing method and hole identification process of nano silver sintered body electron micrograph
Fig. 4 is that hole describes quantization parameter system schematic diagram
Fig. 5 is nano silver sintered body distribution of pores exemplary diagram
Fig. 6 is nano silver sintered body internal void distribution characterization parametric statistics distribution histogram, probability-distribution function curve
Specific embodiment
To better understand feature and advantage of the invention, below in conjunction with attached drawing, it is described in detail below: figure
1 describes overall architecture of the invention, wherein the process of solid arrow direction representation method.
During the hole being distributed to nano silver sintered body internal random is studied, the present invention is based on using one kind
The method that image recognition technology is combined with statistical theory carries out quantificational description, specific implementation to the random distribution characteristic of hole
Step is:
Step 1: establishing the hole based on sintering region characterizes two-dimensional Cartesian system, coordinate system is as shown in Figure 2.It burns
Tie region indicates that the length and width in region are respectively a and b, and origin of the chosen area centroid as cartesian coordinate system using rectangle；
Step 2: nano silver sintered body distribution of pores image processing method and hole identification process are as shown in Figure 3:
(1) the distribution of pores image obtained by equipment such as scanning electron microscope, metallographic microscopes is converted into gray level image, gone forward side by side
Row filtering removal picture noise；
(2) in statistical picture pixel color be distributed, draw distribution of color histogram, using normal distribution to distribution of color into
Row fitting determines that the corresponding pixel color in the position μ -3 σ is image binaryzation operational threshold, image is switched to black-and-white binary map,
Wherein white area is sintering silver, and black region is hole；
(3) it identifies black region profile in image, calculates contour area.The reason of hole mechanism of production in sintering process
On the basis of solution, the pore shape of random distribution is assumed to be the regular shapes such as round or ellipse using profile centroid as the center of circle, is drawn
With the consistent equivalent hole of circle of contour area.
Third step, calculating the ratio of the total elemental area of black region elemental area Zhan in black-and-white binary map, (or equivalent hole is total
The ratio of face area is indulged in area and section), the as porosity s of sintered body, for characterizing the void density of sintered body；
Step 4: establishing the quantization parameter system of description pore-size and spatial distribution, as shown in Figure 4.Including hole
Gap radius parameter r for characterize pore-size situation, hole distance parameter l (i.e. distance between hole centroid and coordinate origin) with
And hole angle parameter α (i.e. hole centroid and coordinate origin line and coordinate system X-axis positive axis line angle), for characterizing
Interstitial space degree of scatter.
In the sintering Regional coordinate system established in the first step, the characterization parameter of each equivalent hole is successively extracted:
(1) area for extracting each equivalent hole obtains characterization pore size distribution parameter Pore genesis r after calculating
Value；
(2) coordinate that each equivalent hole center of circle is extracted in the coordinate system of foundation obtains characterization hole after calculating
The value of spatial distributed parameters hole distance l and hole angle [alpha]；
(3) device to hole stand-off distance is from being normalized, calculation method are as follows:Wherein l is hole distance, and l ' is normalizing
The hole distance of change, L are the distance along hole direction coordinate origin to square boundary.
For rectangular area, L is related to the position of hole, specific calculation are as follows:
Wherein a and b is the length and width in region, and α is hole angle.
Step 5: since stochastic behaviour is presented in the size of nano silver sintered body inner pore, distributional pattern, by the 4th
R, l and alpha parameter of each hole that step extraction obtains are the stochastic variable of one group of discrete distribution.It counts to extract in the 4th step and obtain
Hole characterization parameter, draw the statistical distribution histogram of parameters such as r, l and α and simultaneously draw probability-distribution function curve, selection refers to
Determine probability-distribution function to be fitted, and calculates distribution parameter using maximum-likelihood method.Fig. 6 (a)-(c) is respectively illustrated to Fig. 5
Shown in hole carry out parameter extraction after, the histogram and probability-distribution function curve of parameter r, l and α.It is further introduced into statistics
Distribution function F characterizes the distribution trend of above-mentioned each characterization parameter.Used distribution function includes, but are not limited to, and uniformly divides
Cloth, exponential distribution, normal distribution, Poisson distribution, Weibull distribution etc..
Claims (5)
1. a kind of table of nano silver sintered body internal void size and spatial distribution based on image recognition technology and statistical theory
Sign method, it is characterised in that it is comprised the steps of:
Step 1: establishing the hole based on sintering region characterizes two-dimensional Cartesian system；
Step 2: establishing hole identification image processing method and identification process；
Step 3: extracting the area of hole and sintering silver respectively, the porosity of nano silver sintered body is calculated；
Step 4: establishing the parameter characterization body of nano silver sintered body random distribution hole based on the coordinate system established in the first step
System, successively extracts characterization parameter (including l, r and α) value of each hole, and parameter l is normalized；
Step 5: the case where counting each characterization parameter numeric distribution extracted in the 4th step, is further introduced into statistical distribution
Function F characterizes the distribution trend of above-mentioned each characterization parameter, completes the characterization of nano silver sintered body random distribution hole；
The present invention gives the characterization side applied to nano silver sintered body internal void size and spatial distribution by above step
Method.
2. a kind of characterization side applied to nano silver sintered body internal void size and spatial distribution as described in claim 1
Method, it is characterised in that: hole identification image processing method and identification process, detailed process are established in second step are as follows:
(1) the distribution of pores image obtained by equipment such as scanning electron microscope, metallographic microscopes is converted into gray level image, and is filtered
Wave removes picture noise；
(2) pixel color is distributed in statistical picture, is drawn distribution of color histogram, is intended using normal distribution distribution of color
It closes, determines that the corresponding pixel color in the position μ -3 σ is image binaryzation operational threshold, image is switched into black-and-white binary map, wherein
White area is sintering silver, and black region is hole；
(3) it identifies black region profile in image, calculates contour area, using profile centroid as the center of circle, draw and contour area one
The equivalent hole of circle of cause.
3. a kind of characterization side applied to nano silver sintered body internal void size and spatial distribution as described in claim 1
Method, it is characterised in that: the quantization parameter system that description pore-size and spatial distribution are established in the 4th step, including hole
Radius parameter r, hole distance parameter l, hole angle parameter α.
4. as described in claim 1 a kind of applied to the characterization side of internal void size and spatial distribution in nano silver sintered body
Method, it is characterised in that: propose the method for normalizing of hole distance parameter l in the 4th step.
5. as described in claim 1 a kind of applied to the characterization side of internal void size and spatial distribution in nano silver sintered body
Method, it is characterised in that: the case where each characterization parameter numeric distribution extracted in the 4th step is counted in the 5th step, further
The distribution trend that statistical distribution functions F characterizes above-mentioned each characterization parameter is introduced, and then describes nano silver sintered body internal void ruler
Very little and spatial stochastically distribution feature.Used distribution function includes, but are not limited to, and is uniformly distributed, exponential distribution, normal state point
Cloth, Poisson distribution, Weibull distribution etc..
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910322135.2A CN110046589A (en) | 2019-04-22 | 2019-04-22 | A kind of characterizing method of nano silver sintered body internal void size and spatial distribution based on image recognition technology and statistical theory |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910322135.2A CN110046589A (en) | 2019-04-22 | 2019-04-22 | A kind of characterizing method of nano silver sintered body internal void size and spatial distribution based on image recognition technology and statistical theory |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110046589A true CN110046589A (en) | 2019-07-23 |
Family
ID=67278368
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910322135.2A Pending CN110046589A (en) | 2019-04-22 | 2019-04-22 | A kind of characterizing method of nano silver sintered body internal void size and spatial distribution based on image recognition technology and statistical theory |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110046589A (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110702581A (en) * | 2019-10-23 | 2020-01-17 | 山东省科学院海洋仪器仪表研究所 | Multi-scale permeability calculation method for strong heterogeneous porous medium |
| CN111950136A (en) * | 2020-07-28 | 2020-11-17 | 北京航空航天大学 | Random pore morphology reconstruction method applied to nano-silver sintered body |
| CN112712538A (en) * | 2020-12-29 | 2021-04-27 | 合肥联宝信息技术有限公司 | Display screen positioning method, electronic equipment and storage medium |
| CN113192119A (en) * | 2021-05-27 | 2021-07-30 | 宜宾学院 | Quantitative statistical method for porosity of multi-scale pore surface |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH07239571A (en) * | 1994-02-25 | 1995-09-12 | Canon Inc | Magnetic toner |
| WO2007026805A1 (en) * | 2005-08-31 | 2007-03-08 | Ngk Insulators, Ltd. | Honeycomb structure and honeycomb catalytic structure |
| CN105352873A (en) * | 2015-11-26 | 2016-02-24 | 中国石油大学(北京) | Shale pore structure characterization method |
| CN105809646A (en) * | 2016-03-31 | 2016-07-27 | 北京林业大学 | Method and system for calculating pore parameters of frozen earth based on iteration best threshold method |
-
2019
- 2019-04-22 CN CN201910322135.2A patent/CN110046589A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH07239571A (en) * | 1994-02-25 | 1995-09-12 | Canon Inc | Magnetic toner |
| WO2007026805A1 (en) * | 2005-08-31 | 2007-03-08 | Ngk Insulators, Ltd. | Honeycomb structure and honeycomb catalytic structure |
| CN105352873A (en) * | 2015-11-26 | 2016-02-24 | 中国石油大学(北京) | Shale pore structure characterization method |
| CN105809646A (en) * | 2016-03-31 | 2016-07-27 | 北京林业大学 | Method and system for calculating pore parameters of frozen earth based on iteration best threshold method |
Non-Patent Citations (2)
| Title |
|---|
| SU NA ET AL.: "three-dimensional reconstruction of micro pore structure", 《2010 INTERNATIONAL CONFERENCE ON COMPUTATION AND INFORMATION SCIENCES》 * |
| 吴伟钦等: "热喷涂纳米陶瓷层单向荷载应力分布有限元分析", 《MATERIALS PROTECTION》 * |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110702581A (en) * | 2019-10-23 | 2020-01-17 | 山东省科学院海洋仪器仪表研究所 | Multi-scale permeability calculation method for strong heterogeneous porous medium |
| CN110702581B (en) * | 2019-10-23 | 2022-06-10 | 山东省科学院海洋仪器仪表研究所 | Multi-scale permeability calculation method for strong heterogeneous porous medium |
| CN111950136A (en) * | 2020-07-28 | 2020-11-17 | 北京航空航天大学 | Random pore morphology reconstruction method applied to nano-silver sintered body |
| CN112712538A (en) * | 2020-12-29 | 2021-04-27 | 合肥联宝信息技术有限公司 | Display screen positioning method, electronic equipment and storage medium |
| CN112712538B (en) * | 2020-12-29 | 2022-02-08 | 合肥联宝信息技术有限公司 | Display screen positioning method, electronic equipment and storage medium |
| CN113192119A (en) * | 2021-05-27 | 2021-07-30 | 宜宾学院 | Quantitative statistical method for porosity of multi-scale pore surface |
| CN113192119B (en) * | 2021-05-27 | 2023-01-06 | 宜宾学院 | Quantitative statistical method for porosity of multi-scale pore surface |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110046589A (en) | A kind of characterizing method of nano silver sintered body internal void size and spatial distribution based on image recognition technology and statistical theory | |
| CN108053478A (en) | A kind of particulate reinforced composite finite element modeling method based on pixel theory | |
| Parikh et al. | Microstructure of gas diffusion layers for PEM fuel cells | |
| US20170372470A1 (en) | Method of separating, identifying and characterizing cracks in 3d space | |
| CN105956448A (en) | Fingerprint unlocking method and apparatus, and user terminal | |
| CN109874313A (en) | Text line detection method and line of text detection device | |
| CN103150561A (en) | Face recognition method and equipment | |
| CN110910444B (en) | RES scale shale equivalent three-dimensional pore parameter rapid extraction method | |
| KR102048342B1 (en) | A method for analyzing pore distribution in secondary battery cathode and polymer therefor | |
| CN110544300B (en) | Method for automatically generating three-dimensional model based on two-dimensional hand-drawn image characteristics | |
| CN111597911B (en) | Method and system for rapidly extracting key frames based on image features | |
| CN111429497A (en) | Self-adaptive CU splitting decision method based on deep learning and multi-feature fusion | |
| CN110210176B (en) | Granite micro-crack structure recognition and micro-seepage analysis method | |
| CN103425980B (en) | The acquisition methods and device of character area in a kind of picture | |
| JP2024038181A (en) | Electrolytic capacitor and its manufacturing method | |
| CN116879129A (en) | Rock-soil material effective seepage path characterization method based on three-dimensional microscopic image | |
| CN111950136A (en) | Random pore morphology reconstruction method applied to nano-silver sintered body | |
| CN110110474A (en) | A kind of material microstructure geometrical model method for building up based on metallograph | |
| CN114417906B (en) | Method, device, equipment and storage medium for identifying microscopic image identification | |
| CN103366376B (en) | A kind of image characteristic extracting method based on neighborhood dimensional variation | |
| CN105215243B (en) | Forging method and system capable of releasing stress of forged piece | |
| CN109801375A (en) | Porous material three-dimensional reconstruction method based on depth convolution confrontation neural network | |
| CN113687227B (en) | Motor magnetic shoe defect classification method based on region-of-interest enhancement | |
| CN205448794U (en) | Porous indent enhanced heat transfer structure based on 3D prints | |
| US11618083B2 (en) | Layered modeling method for laser metal deposition (LMD) three-dimensional (3D) printing |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WD01 | Invention patent application deemed withdrawn after publication | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20190723 |