CN111650198A - Method for detecting black impurities in light calcium carbonate - Google Patents

Method for detecting black impurities in light calcium carbonate Download PDF

Info

Publication number
CN111650198A
CN111650198A CN202010502473.7A CN202010502473A CN111650198A CN 111650198 A CN111650198 A CN 111650198A CN 202010502473 A CN202010502473 A CN 202010502473A CN 111650198 A CN111650198 A CN 111650198A
Authority
CN
China
Prior art keywords
calcium carbonate
sample
impurities
steps
detecting
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
Application number
CN202010502473.7A
Other languages
Chinese (zh)
Inventor
刘鲁亮
信宏波
张凯华
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Jilin Zhongcai Pipes Co ltd
Original Assignee
Jilin Zhongcai Pipes Co ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Jilin Zhongcai Pipes Co ltd filed Critical Jilin Zhongcai Pipes Co ltd
Priority to CN202010502473.7A priority Critical patent/CN111650198A/en
Publication of CN111650198A publication Critical patent/CN111650198A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84Systems specially adapted for particular applications
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N1/00Sampling; Preparing specimens for investigation
    • G01N1/28Preparing specimens for investigation including physical details of (bio-)chemical methods covered elsewhere, e.g. G01N33/50, C12Q
    • G01N1/286Preparing specimens for investigation including physical details of (bio-)chemical methods covered elsewhere, e.g. G01N33/50, C12Q involving mechanical work, e.g. chopping, disintegrating, compacting, homogenising
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N1/00Sampling; Preparing specimens for investigation
    • G01N1/28Preparing specimens for investigation including physical details of (bio-)chemical methods covered elsewhere, e.g. G01N33/50, C12Q
    • G01N1/286Preparing specimens for investigation including physical details of (bio-)chemical methods covered elsewhere, e.g. G01N33/50, C12Q involving mechanical work, e.g. chopping, disintegrating, compacting, homogenising
    • G01N2001/2866Grinding or homogeneising

Abstract

The invention discloses a method for detecting black impurities in light calcium carbonate, which comprises the following steps: processing a sample, grinding the sample, uniformly spreading a calcium carbonate powder sample on a glass plate, placing the glass plate under a microscope, adjusting the microscope to clearly observe a calcium carbonate powder sample, taking 5 images at different positions by an image taking software, removing impurities from 5 images by using a measuring software, and determining the impurity grade by using a sample grade determination table, so as to obtain the impurity grade of the sample, finally guiding production and reasonably controlling calcium carbonate impurities; the invention utilizes the microscope observation principle to carry out sampling, observation, image capture, analysis and qualitative analysis on the light calcium carbonate sample, and the qualified basic value is worked out, and the calcium carbonate impurity index can be reasonably controlled after the qualified basic value exceeds the basic value and is processed according to unqualified products, so the detection accuracy is high, and the improvement of the quality of plastic products is facilitated.

Description

Method for detecting black impurities in light calcium carbonate
Technical Field
The invention relates to the technical field of calcium carbonate production, in particular to a method for detecting black impurities in light calcium carbonate.
Background
At present, a detection method of visible black impurities in common light calcium carbonate is not determined in standard HG/T2226-2010 industrial precipitated calcium carbonate and GB/T19281-2014 calcium carbonate analysis methods, and the existing light calcium carbonate black impurity detection method for production comprises the following steps: weighing about 10g of sample, mixing the sample into paste by using ethanol, comparing with the number of small black spots of a reference sample (the same amount), if the accurate judgment cannot be carried out, weighing about 10g of sample, transferring the sample into an iodine measuring bottle, adding ethanol to prepare suspension, observing the bottom of the bottle, and if the number of the small black spots of the sample is less than the number of the small black spots of the reference sample, considering that the small black spots are normal, otherwise, carrying out the rechecking. The method has the defects that: the rough judgment is carried out only by manually observing the size of the small black spots at the bottom of the test bottle and the approximate number of the small black spots, the rigidness is lacked, the detection is not accurate, the apparent quality of the plastic processing product is determined to a certain extent by the number of the small black spots (black impurities), and the quality of the plastic product is easily influenced by the detection inaccuracy.
Disclosure of Invention
The invention mainly aims to provide a method for detecting black impurities in light calcium carbonate, which can effectively solve the problems that the existing method for detecting black impurities in light calcium carbonate in the background art is lack of rigor, inaccurate in detection and influences the quality of plastic products.
In order to achieve the purpose, the invention adopts the technical scheme that: a detection method of black impurities in light calcium carbonate comprises the following steps:
1) sample treatment: cleaning and drying the surface of a calcium carbonate sample, and removing large-particle impurities visible on the surface;
2) grinding a sample: putting the cleaned and dried calcium carbonate sample into a grinding machine for grinding into powder;
3) sampling: the calcium carbonate powder in step 2 was uniformly spread on a clean clear glass plate with a thickness of 10mm, specified 75 × 25mm, as a test pallet.
4) Imaging: and (4) placing the glass plate obtained in the step (3) under a microscope, adjusting the microscope to clearly observe the calcium carbonate powder sample, and respectively taking 5 images at different positions by using image taking software.
5) Impurity removal judgment: and (3) removing impurities from the 5 samples of photos by using determination software, and determining the impurity grade of the photos after impurity removal by using a sample grade determination table, so that the impurity grade of the samples is obtained, the production is guided finally, and the calcium carbonate impurities are controlled reasonably.
Preferably, the powder ground in the step 2 is 1600-1800 mesh.
Preferably, the tiling thickness of the calcium carbonate powder in step 3 is not more than 0.02 mm.
Preferably, the tiling area of the calcium carbonate powder in the step 3 is not more than 100mm2
Preferably, the microscope in the step 4 is a multiple of 100.
Preferably, in step 4, the imaging software is optro, and the imaging size is 2048 × 1536 × 10.
Preferably, the software for measuring in step 5 is carbon black dispersion measurement software.
Preferably, in the step 5, searching is performed after setting the size and the area of the software, and after determining the size and the quantity of the impurities, the grade is judged according to a grade table.
Compared with the prior art, the invention has the following beneficial effects: the invention utilizes the microscope observation principle to carry out sampling, observation, image capture, analysis and qualitative analysis on the light calcium carbonate sample, and the qualified basic value is worked out, and the calcium carbonate impurity index can be reasonably controlled after the qualified basic value exceeds the basic value and is processed according to unqualified products, so the detection accuracy is high, and the improvement of the quality of plastic products is facilitated.
Drawings
FIG. 1 is a table of sample grade determinations according to the present invention;
FIG. 2 is a picture before specimen photos are decontaminated according to the present invention;
FIG. 3 is a photograph of a sample according to the present invention after removing impurities.
Detailed Description
In order to make the technical means, the creation characteristics, the achievement purposes and the effects of the invention easy to understand, the invention is further described with the specific embodiments.
A detection method of black impurities in light calcium carbonate comprises the following steps:
1) sample treatment: cleaning and drying the surface of a calcium carbonate sample, and removing large-particle impurities visible on the surface;
2) grinding a sample: putting the cleaned and dried calcium carbonate sample into a grinding machine for grinding into powder;
3) sampling: the calcium carbonate powder in step 2 was uniformly spread on a clean clear glass plate with a thickness of 10mm, specified 75 × 25mm, as a test pallet.
4) Imaging: and (4) placing the glass plate obtained in the step (3) under a microscope, adjusting the microscope to clearly observe the calcium carbonate powder sample, and respectively taking 5 images at different positions by using image taking software.
5) Impurity removal judgment: as shown in fig. 1-3, 5 samples of photos are subjected to impurity removal by using determination software, and the impurity grade of the photos after impurity removal is determined by using a sample grade determination table, so that the impurity grade of the samples is obtained, the production is guided finally, and the calcium carbonate impurities are controlled reasonably.
In this embodiment, the powder ground in step 2 is 1600-1800 mesh.
In this embodiment, the tiling thickness of the calcium carbonate powder in step 3 is not more than 0.02 mm.
In this embodiment, the tiling area of the calcium carbonate powder in step 3 is not more than 100mm 2.
In this embodiment, the microscope in step 4 is a multiple of 100.
In this embodiment, the imaging software in step 4 is oppro, and the imaging size is 2048 × 1536 × 10.
In this example, the software for measurement in step 5 is carbon black dispersion measurement software.
In this embodiment, in the step 5, searching is performed after setting the size and the area of the software, and after determining the size and the number of the impurities, the grade is judged according to the grade table.
While certain exemplary embodiments of the present invention have been described above by way of illustration only, it will be apparent to those of ordinary skill in the art that the described embodiments may be modified in various different ways without departing from the spirit and scope of the invention. Accordingly, the drawings and description are illustrative in nature and should not be construed as limiting the scope of the invention.

Claims (8)

1. A method for detecting black impurities in light calcium carbonate is characterized by comprising the following steps: the method comprises the following steps:
1) sample treatment: cleaning and drying the surface of a calcium carbonate sample, and removing large-particle impurities visible on the surface;
2) grinding a sample: putting the cleaned and dried calcium carbonate sample into a grinding machine for grinding into powder;
3) sampling: the calcium carbonate powder in step 2 was uniformly spread on a clean clear glass plate with a thickness of 10mm, specified 75 × 25mm, as a test pallet.
4) Imaging: and (4) placing the glass plate obtained in the step (3) under a microscope, adjusting the microscope to clearly observe the calcium carbonate powder sample, and respectively taking 5 images at different positions by using image taking software.
5) Impurity removal judgment: and (3) removing impurities from the 5 samples of photos by using determination software, and determining the impurity grade of the photos after impurity removal by using a sample grade determination table, so that the impurity grade of the samples is obtained, the production is guided finally, and the calcium carbonate impurities are controlled reasonably.
2. The method for detecting the black impurities in light calcium carbonate according to claim 1, wherein the method comprises the following steps: the powder ground in the step 2 is 1600-1800 meshes.
3. The method for detecting the black impurities in light calcium carbonate according to claim 1, wherein the method comprises the following steps: the tiling thickness of the calcium carbonate powder in the step 3 is not more than 0.02 mm.
4. The method for detecting the black impurities in light calcium carbonate according to claim 1, wherein the method comprises the following steps: the tiling area of the calcium carbonate powder in the step 3 is not more than 100mm 2.
5. The method for detecting the black impurities in light calcium carbonate according to claim 1, wherein the method comprises the following steps: the microscope in the step 4 is a multiple of 100.
6. The method for detecting the black impurities in light calcium carbonate according to claim 1, wherein the method comprises the following steps: in step 4, the imaging software is OPTPRO, and the imaging size is 2048 × 1536 × 10.
7. The method for detecting the black impurities in light calcium carbonate according to claim 1, wherein the method comprises the following steps: the software for measuring in the step 5 is carbon black dispersion measuring software.
8. The method for detecting the black impurities in light calcium carbonate according to claim 1, wherein the method comprises the following steps: and 5, searching after setting according to the size and the area of the software, determining the size and the quantity of the impurities, and judging the grade according to a grade table.
CN202010502473.7A 2020-06-03 2020-06-03 Method for detecting black impurities in light calcium carbonate Pending CN111650198A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010502473.7A CN111650198A (en) 2020-06-03 2020-06-03 Method for detecting black impurities in light calcium carbonate

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010502473.7A CN111650198A (en) 2020-06-03 2020-06-03 Method for detecting black impurities in light calcium carbonate

Publications (1)

Publication Number Publication Date
CN111650198A true CN111650198A (en) 2020-09-11

Family

ID=72341198

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010502473.7A Pending CN111650198A (en) 2020-06-03 2020-06-03 Method for detecting black impurities in light calcium carbonate

Country Status (1)

Country Link
CN (1) CN111650198A (en)

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4976540A (en) * 1988-05-27 1990-12-11 Shin-Etsu Chemical Co., Ltd. Method for detecting colored foreign particles in light-colored powder and system therefor
WO1992008965A1 (en) * 1990-11-13 1992-05-29 Powergen Plc Method and apparatus for measurement of carbon in ash
TW240290B (en) * 1992-12-28 1995-02-11 Shinetsu Kagaku Gogyo Kk
CN101813637A (en) * 2008-12-26 2010-08-25 日本超精石英株式会社 Method and apparatus for detecting colored foreign particles in quartz powder material
CN106323991A (en) * 2015-06-29 2017-01-11 鞍钢股份有限公司 Method for measuring cleanliness of IF steel casting blank
CN106706504A (en) * 2017-03-14 2017-05-24 张姿 Optical analysis method for micro-nano granular powder impurities
CN106770365A (en) * 2017-03-14 2017-05-31 黄廷磊 Powder sample impurity analysis instrument
CN109283178A (en) * 2018-11-19 2019-01-29 中国科学院南京地理与湖泊研究所 A kind of breeze automatic identification statistical grade method

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4976540A (en) * 1988-05-27 1990-12-11 Shin-Etsu Chemical Co., Ltd. Method for detecting colored foreign particles in light-colored powder and system therefor
WO1992008965A1 (en) * 1990-11-13 1992-05-29 Powergen Plc Method and apparatus for measurement of carbon in ash
TW240290B (en) * 1992-12-28 1995-02-11 Shinetsu Kagaku Gogyo Kk
CN101813637A (en) * 2008-12-26 2010-08-25 日本超精石英株式会社 Method and apparatus for detecting colored foreign particles in quartz powder material
CN106323991A (en) * 2015-06-29 2017-01-11 鞍钢股份有限公司 Method for measuring cleanliness of IF steel casting blank
CN106706504A (en) * 2017-03-14 2017-05-24 张姿 Optical analysis method for micro-nano granular powder impurities
CN106770365A (en) * 2017-03-14 2017-05-31 黄廷磊 Powder sample impurity analysis instrument
CN109283178A (en) * 2018-11-19 2019-01-29 中国科学院南京地理与湖泊研究所 A kind of breeze automatic identification statistical grade method

Similar Documents

Publication Publication Date Title
CA2222554C (en) Method and apparatus for continuously monitoring and forecasting slide and specimen preparation for a biological specimen population
KR101708813B1 (en) Device for automatic testing of a special filter rod section feature parameters and measurement methods
CN103063576A (en) Method for quantitatively analyzing inclusions in steel under laser microscope
CN1761869A (en) Method and apparatus for determining one or more physical properties of a rolled smoking article or filter rod
CN106770303B (en) Image analysis-based cigarette cut tobacco structure characterization method
CN102494996A (en) Adhesion property testing device for clammy materials and adhesion property testing method for clammy materials
CN104315977A (en) Rubber plug quality detection device and method
CN110108715A (en) A kind of defect inspection method of Plane-parallel Transparent Materiel
CN109309022A (en) A kind of defect sampling observation method
CN111650198A (en) Method for detecting black impurities in light calcium carbonate
CN103884645B (en) A kind of method for testing gas content in coating
JPWO2008059934A1 (en) Aggregation judgment method
CN105987834B (en) Integrated sampling method and integrated sampling system for coal sample detection
CN109426013A (en) A kind of analysis method of color membrane substrates defect, detection restorative procedure and device
CN107764693B (en) method for accurately measuring maximum molecular water content of iron ore powder
CN108508053A (en) A kind of detection method of the atomic physical imperfection of systematicness
CN205538538U (en) Papermaking method reconstituted tobacco product ration spot test appearance
JP6571210B2 (en) Observation device
CN112147047A (en) Device and method for detecting concentration of particles in high-speed fluid
CN103090886B (en) The denoising method of light signal and device
CN111595908A (en) Method for detecting salt content of abrasive used for sand blasting steel surface
CN113702412B (en) Method for controlling mechanical iron impurity level in glass production process
CN113624649B (en) System and method for detecting needle-shaped content of road aggregate based on machine vision
CN111982761B (en) Method for detecting dispersibility of titanium dioxide in water-based color paste
Govoreanu et al. An automated image analysis system for on-line structural characterization of the activated sludge flocs

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