CN111240284B - Quality control method for simulating liquid slurry product yield in production process - Google Patents
Quality control method for simulating liquid slurry product yield in production process Download PDFInfo
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- CN111240284B CN111240284B CN202010049893.4A CN202010049893A CN111240284B CN 111240284 B CN111240284 B CN 111240284B CN 202010049893 A CN202010049893 A CN 202010049893A CN 111240284 B CN111240284 B CN 111240284B
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- 238000004519 manufacturing process Methods 0.000 title claims abstract description 54
- 239000002002 slurry Substances 0.000 title claims abstract description 39
- 239000007788 liquid Substances 0.000 title claims abstract description 24
- 238000003908 quality control method Methods 0.000 title claims abstract description 13
- 238000000034 method Methods 0.000 claims abstract description 20
- 239000002994 raw material Substances 0.000 claims abstract description 17
- 238000004364 calculation method Methods 0.000 claims abstract description 8
- 239000006185 dispersion Substances 0.000 claims abstract description 8
- 238000004088 simulation Methods 0.000 abstract description 4
- 230000008569 process Effects 0.000 description 3
- 239000000126 substance Substances 0.000 description 3
- 230000006870 function Effects 0.000 description 2
- 230000008859 change Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000009776 industrial production Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 239000002086 nanomaterial Substances 0.000 description 1
- 239000005022 packaging material Substances 0.000 description 1
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
- G05B19/41875—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by quality surveillance of production
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01G—WEIGHING
- G01G17/00—Apparatus for or methods of weighing material of special form or property
- G01G17/04—Apparatus for or methods of weighing material of special form or property for weighing fluids, e.g. gases, pastes
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N11/00—Investigating flow properties of materials, e.g. viscosity, plasticity; Analysing materials by determining flow properties
- G01N11/10—Investigating flow properties of materials, e.g. viscosity, plasticity; Analysing materials by determining flow properties by moving a body within the material
- G01N11/14—Investigating flow properties of materials, e.g. viscosity, plasticity; Analysing materials by determining flow properties by moving a body within the material by using rotary bodies, e.g. vane
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/32—Operator till task planning
- G05B2219/32252—Scheduling production, machining, job shop
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
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Abstract
The invention provides a quality control method for simulating the yield of a liquid slurry product in a production process. The technical scheme firstly inspects the production process of the liquid slurry product: mixing and pre-dispersing the raw materials in a dispersing tank; after the slurry is dispersed, the slurry flows into a grinding tank from the dispersion tank for further grinding and mixing. Based on the method, factors influencing the product yield are explored, the production process is simulated by taking the weight of raw materials and the viscosity of the product as variables, and a calculation formula is formed. Taking the calculation formula as a core, the invention can respectively weigh the raw material quality for the slurry production at the last time and the current time, measure the viscosity of the slurry at different stages in the production process at the last time and the current time, and add the viscosity; and substituting the calculated value into a calculation formula to calculate the estimated yield of the finished product slurry. The method is convenient to use, and can greatly improve the simulation precision of the product yield and improve the quality control level of the product production process.
Description
Technical Field
The invention relates to the technical field of nano material processing, further relates to exploration of a relation between a feeding amount and a yield in a production process of a liquid slurry product, and particularly relates to a quality control method for simulating the yield of the liquid slurry product in the production process.
Background
The industrial production of liquid chemicals, particularly more viscous chemicals, is often encountered in the case of: after the raw materials are charged, the raw materials are discharged from the container as a finished product, and the raw materials are allowed to flow in a sealed container. In this process, the residual quantity of liquid in the container varies due to the variation of the viscosity of the liquid, resulting in a constant variation of the yield of the product finally obtained, which brings about a certain trouble to the production. For example, the proper amount of packaging material cannot be determined, and the next production plan cannot be scheduled in advance.
TABLE 1 data on the amount of product produced during the production of a liquid chemical
Table 1 above gives a set of yield data for actual production. As can be seen from the table 1, the actual yield is suddenly high and suddenly low under the condition that the difference of the feeding amount of each batch is not large, and no obvious rule is shown; moreover, to date, it has not been clarified in the prior art what variables lead to differences in actual yield. This makes it difficult to objectively and accurately estimate the yield during the process. The current method for solving the problem is to judge by virtue of production experience. However, the method of judging the yield by experience is not suitable for popularization because different products have different properties.
Disclosure of Invention
The invention aims to provide a quality control method for simulating the yield of a liquid slurry product in a production process aiming at the technical defects of the prior art, so as to solve the technical problem that the yield is difficult to accurately estimate in the production process of the liquid slurry product.
Another technical problem to be solved by the present invention is that the current prediction of liquid slurry product yield is only empirical, and lacks theoretical basis and data support.
In order to achieve the technical purpose, the invention adopts the following technical scheme:
the production process of the slurry product comprises the following steps: feeding, dispersing tank, grinding tank and output.
A quality control method for simulating the yield of liquid slurry products in a production process is disclosed, wherein the method calculates the yield of the liquid slurry products by a formula shown in a formula 1;
y (yield) = (m) 1 +m 2 )a [A/n] -m 1 a [B/n] +m 1 a [C/n] -m 1 a [D/n]
Formula 1
Wherein Y (yield) is the calculation result of the yield of the liquid slurry product;
a is the sum of the viscosity of the product produced at this time and the pre-dispersion viscosity of the product produced at this time;
b is the sum of the pre-dispersion viscosity of the current production, the viscosity of the product of the current production and the pre-dispersion viscosity of the previous production;
c is the sum of the viscosity of the product produced in the last time and the viscosity of the product produced in the current time;
d is the sum of the viscosity of the product produced last time, the viscosity of the product produced last time and the viscosity of the product produced this time;
m 1 the total mass of raw materials input for the previous production;
m 2 the total mass of raw materials input for the production;
a is a constant with the value range of 0-1;
n is a constant greater than 1.
Wherein Y (output) = input amount-residual amount.
Preferably, in formula 1, a is the percentage of slurry passing.
Preferably, in formula 1, n is a constant related to the range of the viscometer.
Preferably, the method comprises the steps of:
1) Respectively calculating the total mass of the raw materials input in the last production and the total mass of the raw materials input in the current production; respectively calculating the viscosity of the slurry in each stage of the previous production and the viscosity of the slurry in each stage of the current production;
2) The value of Y (yield) was calculated using equation 1.
Preferably, a is a constant with a value ranging from 0.4 to 0.7. More preferably, a is 0.6.
Preferably, n is a constant with a value ranging from 10000 to 500000. More preferably, n is 200000.
Preferably, the viscosity of the slurry in each stage in the step 1) is directly measured by a viscometer, wherein the rotating speed is 6r/min.
In the technical scheme, a is a constant related to the passing rate of the slurry, so the value range is between 0 and 1; in practical application, the value is generally between 0.4 and 0.7; it was found in the study that the calculated theoretical yield is closest to the actual value when a = 0.6.
n is a constant related to the range of the viscometer, so the value range is more than 1; in practical application, the value is generally 10000-500000; in the research, when the value of n is 2 times of the range of the viscometer, the calculated theoretical yield value is closest to the actual value, the maximum range of the viscometer used in the production is 100000mpa.s, therefore, n is preferably 200000.
The viscosity data introduced in the invention can be directly measured by using a viscometer and then used for calculation.
The invention provides a quality control method for simulating the yield of a liquid slurry product in a production process. The technical scheme firstly inspects the production process of the liquid slurry product: mixing and pre-dispersing the raw materials in a dispersing tank; after the slurry is dispersed, the slurry flows into a grinding tank from the dispersion tank to be further ground and mixed. Based on the method, factors influencing the product yield are researched, the production process is simulated by taking the weight of raw materials and the viscosity of the product as variables, and a calculation formula is formed. By taking the calculation formula as a core, the invention can respectively weigh the raw material quality used for the slurry production at the last time and the current time, measure the viscosity of the slurry at different stages in the production process at the last time and the current time, and add; and substituting the calculated formula to calculate the estimated yield of the finished slurry. The method is convenient to use, and can greatly improve the simulation precision of the product yield and the quality control level of the product production process.
Drawings
FIG. 1 is a schematic diagram of a production flow for which the process of the present invention is suitable.
Detailed Description
Hereinafter, specific embodiments of the present invention will be described in detail. Well-known structures or functions may not be described in detail in the following embodiments in order to avoid unnecessarily obscuring the details. Approximating language, as used herein in the following examples, may be applied to identify quantitative representations that could permissibly vary in number without resulting in a change in the basic function. Unless defined otherwise, technical and scientific terms used in the following examples have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
Example 1
For the following production tables:
the simulation method provided by the invention is utilized to simulate the following steps:
for the formula:
y (yield) = (m) 1 +m 2 )a [A/n] -m 1 a [B/n] +m 1 a [C/n] -m 1 a [D/n]
Let a =0.6, n =200000
The simulated yield data were obtained as shown in the following table:
the error value is less than or equal to 2%, and the simulated yield data is well matched with the actual yield data.
Example 2
For the following production tables:
the simulation method of the invention is used for simulating the following steps:
for the formula:
y (yield) = (m) 1 +m 2 )a [A/n] -m 1 a [B/n] +m 1 a [C/n] -m 1 a [D/n]
Let a =0.6, n =200000
The simulated yield data obtained are shown in the following table:
the error value is less than or equal to 2%, and the simulated yield data is well matched with the actual yield data.
The embodiments of the present invention have been described in detail, but the description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention. Any modification, equivalent replacement, and improvement made within the scope of the present application shall be included in the protection scope of the present application.
Claims (8)
1. A quality control method for simulating the yield of liquid slurry products in the production process is characterized in that the method calculates the yield of the liquid slurry products by a formula shown in a formula 1;
y (yield) = (m) 1 +m 2 )a [A/n] -m 1 a [B/n] +m 1 a [C/n] -m 1 a [D/n]
Formula 1
Wherein Y (yield) is the calculation result of the yield of the liquid slurry product;
a is the sum of the viscosity of the product produced at this time and the pre-dispersion viscosity of the product produced at this time;
b is the sum of the pre-dispersion viscosity of the current production, the viscosity of the product of the current production and the pre-dispersion viscosity of the previous production;
c is the sum of the viscosity of the product produced in the last time and the viscosity of the product produced in the current time;
d is the sum of the viscosity of the product produced in the previous time, the viscosity of the product produced in the previous time and the viscosity of the product produced in the current time;
m 1 the total mass of raw materials input for the last production;
m 2 the total mass of raw materials input for the production;
a is a constant with the value range of 0-1;
n is a constant greater than 1.
2. The method of claim 1, wherein n is a constant related to the range of the viscometer in equation 1.
3. A quality control method for simulating the production of a liquid slurry product during a manufacturing process as claimed in claim 1, wherein the method comprises the steps of:
1) Respectively calculating the total mass of the raw materials input in the last production and the total mass of the raw materials input in the current production; respectively calculating the viscosity of the slurry in each stage of the previous production and the viscosity of the slurry in each stage of the current production;
2) The value of Y (yield) was calculated using equation 1.
4. The method of claim 1, wherein a is a constant with a value ranging from 0.4 to 0.7.
5. A quality control method for simulating the production of a liquid slurry product during a manufacturing process according to claim 1, wherein a is 0.6.
6. The method of claim 1, wherein n is a constant with a value in the range of 10000-500000.
7. A method of quality control for simulating the production of a liquid slurry product during a manufacturing process as claimed in claim 1, wherein n is 200000.
8. The method as claimed in claim 3, wherein the viscosity of the slurry in each stage of step 1) is measured directly by a viscometer, and the rotation speed is 6r/min.
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4157954A (en) * | 1976-10-12 | 1979-06-12 | J. M. Huber Corporation | Method for improving production rates during benefication of particle dispersions |
| US6144897A (en) * | 1995-06-09 | 2000-11-07 | Solvay Polyolefins Europe-Belgium (Societe Anonyme) | Control method for processes of synthesis of chemical products |
| JP2011064647A (en) * | 2009-09-18 | 2011-03-31 | Mitsubishi Materials Corp | Quality evaluation method of silica fume for high-strength concrete |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20060116835A1 (en) * | 2002-08-12 | 2006-06-01 | Borealis Technology Oy | Measurement of batch properties |
| US7721594B2 (en) * | 2005-07-29 | 2010-05-25 | M-I L.L.C. | Apparatus and method to monitor slurries for waste re-injection |
| US8666705B2 (en) * | 2010-10-01 | 2014-03-04 | Corning Incorporated | Methods and apparatus for predicting glass properties |
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Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4157954A (en) * | 1976-10-12 | 1979-06-12 | J. M. Huber Corporation | Method for improving production rates during benefication of particle dispersions |
| US6144897A (en) * | 1995-06-09 | 2000-11-07 | Solvay Polyolefins Europe-Belgium (Societe Anonyme) | Control method for processes of synthesis of chemical products |
| JP2011064647A (en) * | 2009-09-18 | 2011-03-31 | Mitsubishi Materials Corp | Quality evaluation method of silica fume for high-strength concrete |
Non-Patent Citations (2)
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| 估计普通水泥浆液粘度的经验公式;许宏发 等;《山西建筑》;20151130;第41卷(第32期);第59-60页 * |
| 环氧树脂新型固化体系及其碳纳米管复合材料的研究;王芳;《中国博士学位论文全文数据库（电子期刊）工程科技Ⅰ辑》;20110415;B020-57 * |
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Effective date of registration: 20230529 Address after: 255000 south to the east of the first floor of No.5 factory building, instrument industry accelerator Park, high tech Zone, Zibo City, Shandong Province Patentee after: SHANDONG X-CARBON NEW MATERIAL TECHNOLOGY CO.,LTD. Address before: No. 666, Huaihe Road, Mudan District, Heze City, Shandong Province, 255000 Patentee before: Chen Xin |
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