CN102580919A - Method for detecting effective grain size of glass raw material - Google Patents

Method for detecting effective grain size of glass raw material Download PDF

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Publication number
CN102580919A
CN102580919A CN2012100485075A CN201210048507A CN102580919A CN 102580919 A CN102580919 A CN 102580919A CN 2012100485075 A CN2012100485075 A CN 2012100485075A CN 201210048507 A CN201210048507 A CN 201210048507A CN 102580919 A CN102580919 A CN 102580919A
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Prior art keywords
grain size
particle diameter
sieves
sieve
standard sub
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CN2012100485075A
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何流
李兆廷
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CHENGDU ZHONGGUANG PHOTOELECTRIC TECHNOLOGY Co Ltd
Tunghsu Group Co Ltd
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CHENGDU ZHONGGUANG PHOTOELECTRIC TECHNOLOGY Co Ltd
Tunghsu Group Co Ltd
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Priority to CN2012100485075A priority Critical patent/CN102580919A/en
Publication of CN102580919A publication Critical patent/CN102580919A/en
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Abstract

The invention discloses a method for detecting the effective grain size of a glass raw material, which belongs to a method for detecting the grain size of substances. The method sequentially includes steps of selecting a plurality of standard sampling sieves within an effective grain size range of the material, ensuring that the specifications of the aperture of each standard sampling sieve cover cumulative percentages of 10% and 90% of grain sizes, and computing the cumulative percentages of corresponding grain sizes according to the masses of oversize materials on the standard sampling sieves after materials are screened; and drawing a standard curve graph by means of adopting the apertures of the standard sampling sieves as a horizontal coordinate and the accumulative percentages of the corresponding apertures of the standard sampling sieves as a vertical coordinate, namely drawing a distribution graph of the grain size of the material so that the corresponding aperture of the material with the accumulative percentage ranging from 10% to 90% can be found on the distribution graph. The method is simple and feasible, and can be applied to detecting and evaluating the grain size of the glass raw material more effectively.

Description

The detection method of frit effective grain size
Technical field
The invention belongs to material particle diameter detection method, be specifically related to the detection of the detection, particularly meso-position radius of used powder of glass manufacturing or granular raw-material particle diameter distribution.
Background technology
The raw material great majority that the glass manufacturing is used are powder or bulk material.The reasonable distribution and the stability of the particle diameter of frit directly have influence on the quality of glass smelting.In preparation during batch, for the uniformity that guarantees batch with prevent that batch from causing layering because of the particle diameter collocation is unreasonable, flying material in transportation, transport process, have strict control requirement to the raw material particle size that constitutes its batch composition.
Particle diameter traditional detection method for frit is a sieve method, promptly utilizes vibratory sieve to detect the oversize of certain size screen cloth or the quality percentage composition of screenings.Method is simple for this, but can not intuitively reflect the particle diameter distribution situation of material.Like 2 material samples, testing result is represented like following table with oversize:
The testing result of table one conventional screen point-score
Figure 2012100485075100002DEST_PATH_IMAGE002
From the testing result of last table, can not intuitively accurately judge average grain diameter or the size of meso-position radius and the distribution situation of granularity of sample 1 and sample 2.
The detection method that the particle diameter of frit is commonly used also has the particle size analyzer method.The particle size analyzer of which kind of form no matter only limits to the detection of a small amount of micro mist sample, and general single injected sampling amount only has less than 1g, can not represent the particle diameter distribution situation of material by the gross.For the glass manufacturing, the particle size range of raw material arrives the hundreds of micron tens usually, and what particle size analyzer was suitable for is the detection of particle diameter below tens microns, and it is bigger therefore to detect the bigger frit particle diameter time error of particle, the testing result poor reproducibility.For the dusty material that has only several microns, powder normally attracts each other, and apparent particle size is much larger than grain size number, and particle size analyzer can accurately detect grain size number, but can't detect for the real material apparent particle size of paying close attention to of glass manufacturing.
Summary of the invention
The objective of the invention is to: provide a kind of simple, can be used to detect and estimate the method for frit particle diameter better.
The object of the invention realizes through following technical proposals:
A kind of detection method of frit effective grain size may further comprise the steps successively:
1), in the effective particle size range of material, selects a plurality of standard sub-sieves; It is 10% and 90% that the aperture specification of the standard sub-sieve of being selected for use will contain particle diameter cumulative percentage content, and the screening back is with the cumulative percentage content of this its corresponding particle diameter of standard sub-sieve oversize Mass Calculation;
2), the aperture with the standard sub-sieve is an abscissa; Cumulative percentage content with the corresponding particle diameter of this standard sub-sieve is that ordinate is made canonical plotting; Be the distribution map of this material particular diameter, from can find on this distribution map cumulative percentage content from 10% to cumulative percentage content 90% pairing material particular diameter.
As preferably, be to select 8~10 standard sub-sieves in 10%~90% scope for use at the pairing cumulative percentage content of particle diameter.So that reach the optimum balance that detects cost, efficient and accuracy of detection.
As preferably, said each standard sub-sieve sieves by aperture order from small to large is stacked successively from top to bottom synchronously.So that raising screening efficiency.
Beneficial effect of the present invention: this detection method is simply quick; Equipment purchasing cost and maintenance cost are low; The detection cost is low, and the particle diameter that can truly react dusty material and bulk material objectively distributes, can also the simple and convenient comparative analysis of carrying out material batch particle diameter intuitively; Especially the material meso-position radius paid close attention to of glass manufacturing, the relative standard deviation of detection is less than 1%.This method is applicable to that to the detection of the apparent particle diameter of frit and evaluation, the scope of apparent particle diameter is advisable with 30um~850um.
Description of drawings
Fig. 1 is the particle diameter distribution map that 1 one batches of quartz sands of embodiment detect for the first time;
Fig. 2 is the particle diameter distribution map that 2 two batches of quartz sands of embodiment detect for the first time;
Fig. 3 is that the size ratio of 2 batches of quartz sands of embodiment 1,2 is than distribution map.
The specific embodiment
Following non-limiting examples is used to explain the present invention:
Embodiment 1:
When embodiment of the present invention, estimate the distribution of material particular diameter to be detected earlier, the specification of choice criteria sub-sieve.It is 10% and 90% that the aperture specification of the standard sub-sieve of being selected for use will contain particle diameter cumulative percentage content, so that last curve map can be contained D10 and D90 2 points; And the quantity of standard sub-sieve is at 8~10, so that reach the optimum balance that detects cost, efficient and accuracy of detection.Stacked successively by aperture order from small to large, the small-bore is at bottom.If vibrating screen classifier can not once be placed 8~10 standard sub-sieves, can be divided into 2 screenings, earlier with the big screening in aperture, the material of the bottom sieves with the standard sub-sieve of small-bore again.
Prepare the about 400g of material to be measured, oven dry mixes.Take by weighing the 100g material at every turn and pour the superiors' standard sub-sieve into, set Automatic sieve and divide 10 minutes time.Take by weighing the material of each standard sub-sieve oversize respectively, calculate the cumulative percentage content of the corresponding particle diameter of each standard sub-sieve.
With material particular diameter (being the aperture of standard sub-sieve) is abscissa, and the cumulative percentage content that this particle diameter is corresponding is the ordinate mapping.Computer software fits to calibration curve, is the distribution map of this material particular diameter.Can search on this distribution map cumulative percentage content from 10% (being D10) to the pairing particle diameter of cumulative percentage content 90% (being D90).Especially for meso-position radius (D50), the relative error of detection is less than 1%.
Below be this detection method of example explanation with the detection of the most frequently used quartz sand of glass manufacturing.Choose 2 batches of materials and compare, for repeatability and the reliability that the method is described, duplicate detection was 10 times after every batch of mixing of materials was even.
One batch of quartz sand particle size cumulative percentage of table two content detection result (unit: %)
Figure 2012100485075100002DEST_PATH_IMAGE004
With 1# is example, is abscissa with particle diameter (being the aperture of standard sub-sieve), and the cumulative percentage content that this particle diameter is corresponding is the ordinate mapping, match such as Fig. 1.
In Fig. 1, find out D10, D90, D50, can also search the size of the pairing particle diameter of any cumulative percentage content when needing.
In this example, check in:
Figure 2012100485075100002DEST_PATH_IMAGE006
Same quadrat method, the particle diameter result who checks in 10 detections is:
Particle diameter (the unit: um) that one batch of quartz sand of table three detects for 10 times
Figure 2012100485075100002DEST_PATH_IMAGE008
Embodiment 2:
Method step is with embodiment 1, and its result is following:
Two batches of quartz sand particle size cumulative percentage of table four content detection result (unit: %)
Figure 2012100485075100002DEST_PATH_IMAGE010
With 1# is example, is abscissa with particle diameter (being the aperture of standard sub-sieve), and the cumulative percentage content that this particle diameter is corresponding is the ordinate mapping, and match is as shown in Figure 2.
In Fig. 2, find out D10, D90, D50, can also search the size of the pairing particle diameter of any cumulative percentage content when needing.
In this example, check in:
Figure 2012100485075100002DEST_PATH_IMAGE012
Same quadrat method, the particle diameter result who checks in 10 detections is:
Particle diameter (the unit: um) that two batches of quartz sands of table five detect for 10 times
Figure 2012100485075100002DEST_PATH_IMAGE014
Embodiment 3:
The inventive method can also be used to the comparative analysis to material batch particle diameter:
Comparison and evaluation like 2 batches of quartz sand particle sizes among the embodiment 1,2
The comparison of 2 batches of quartz sand particle sizes of table six
Figure 2012100485075100002DEST_PATH_IMAGE016
From table six; Can visually see, second batch material particular diameter is greater than first batch of material, and its meso-position radius D50 differs 2.73um; The particle diameter of first batch of material of size ratio of second batch of material distributes more concentrated, and its material of 80% concentrates on respectively in 35.83 and 43.01 the interval.
The particle diameter of 2 batches of quartz sands also can compare with coordinate diagram, and like Fig. 3, conclusion is the same.
From Fig. 3, can intuitively reflect the particle diameter of the particle diameter of second batch of quartz sand greater than first batch of quartz sand.
The above is merely preferred embodiment of the present invention, not in order to restriction the present invention, all any modifications of within spirit of the present invention and principle, being done, is equal to and replaces and improvement etc., all should be included within protection scope of the present invention.

Claims (3)

1. the detection method of a frit effective grain size is characterized in that may further comprise the steps successively:
1), in the effective particle size range of material, selects a plurality of standard sub-sieves; It is 10% and 90% that the aperture specification of the standard sub-sieve of being selected for use will contain particle diameter cumulative percentage content, and the screening back is with the cumulative percentage content of this its corresponding particle diameter of standard sub-sieve oversize Mass Calculation;
2), the aperture with the standard sub-sieve is an abscissa; Cumulative percentage content with the corresponding particle diameter of this standard sub-sieve is that ordinate is made canonical plotting; Be the distribution map of this material particular diameter, from can find on this distribution map cumulative percentage content from 10% to cumulative percentage content 90% pairing material particular diameter.
2. the detection method of frit effective grain size as claimed in claim 1 is characterized in that: at the pairing cumulative percentage content of particle diameter is to select 8~10 standard sub-sieves in 10%~90% scope for use.
3. according to claim 1 or claim 2 the detection method of frit effective grain size, it is characterized in that: said each standard sub-sieve sieves by aperture order from small to large is stacked successively from top to bottom synchronously.
CN2012100485075A 2012-02-29 2012-02-29 Method for detecting effective grain size of glass raw material Pending CN102580919A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109530212A (en) * 2018-12-14 2019-03-29 河南华索科技有限公司 The online particle size analyzing device and analysis method of ultrasonic screening structure and its composition

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CN101516530A (en) * 2006-09-25 2009-08-26 巴斯夫欧洲公司 Method for grading water-absorbent polymer particles
CN101687681A (en) * 2007-07-06 2010-03-31 赢创德固赛有限责任公司 Silica glass granule
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Publication number Priority date Publication date Assignee Title
CN1183321A (en) * 1996-11-21 1998-06-03 中国科学院南京地理与湖泊研究所 Method for making standard screen with organic glass frame, and its special clamp
CN1753846A (en) * 2003-01-24 2006-03-29 圣戈本陶瓷及塑料股份有限公司 Extended particle size distribution ceramic fracturing proppant
CN101516530A (en) * 2006-09-25 2009-08-26 巴斯夫欧洲公司 Method for grading water-absorbent polymer particles
CN101687681A (en) * 2007-07-06 2010-03-31 赢创德固赛有限责任公司 Silica glass granule
CN201930925U (en) * 2010-12-31 2011-08-17 株洲冶炼集团股份有限公司 Zinc powder grain diameter grading device

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109530212A (en) * 2018-12-14 2019-03-29 河南华索科技有限公司 The online particle size analyzing device and analysis method of ultrasonic screening structure and its composition
CN109530212B (en) * 2018-12-14 2023-08-29 河南华索科技有限公司 Ultrasonic screening structure, and on-line granularity analysis device and analysis method formed by ultrasonic screening structure

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Application publication date: 20120718