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Potential energy change based method for quantitatively characterizing packing segregation state of particles after falling

A quantitative characterization and particle technology, applied to the analysis of materials, instruments, etc., can solve the problems of particle segregation lack of general rules, and achieve the effects of reduced energy consumption, convenient operation, and small reading error

Inactive Publication Date: 2015-12-09
CHONGQING UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] In view of the above-mentioned deficiencies in the prior art, the purpose of the present invention is how to solve the problem of lack of general rules for particle segregation in existing fabrics, and provide a method for quantitatively characterizing the accumulation and segregation state of particles after falling based on potential energy changes, which can effectively reduce Energy consumption, promoting energy conservation and emission reduction

Method used

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  • Potential energy change based method for quantitatively characterizing packing segregation state of particles after falling
  • Potential energy change based method for quantitatively characterizing packing segregation state of particles after falling
  • Potential energy change based method for quantitatively characterizing packing segregation state of particles after falling

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Effect test

Embodiment 1

[0037]1) Establish a batching model consisting of the distributor 1 and the charging tank 3 to simulate the falling process of 300g of aluminum oxide, in which the length L1=200mm, the height L2=250mm, and the width L3=28mm of the charging tank 3, The length L4 of the discharge opening 2 of the distributor 1 is 28 mm, and the width L5 is 14 mm, and the opposite side walls of the discharge opening 2 of the distributor 1 form an angle of 50° with the horizontal direction.

[0038] 2) Establish particle models with two particle sizes, in which the two particle diameters are set to 3mm and 6mm respectively, the particle Young's modulus is set to 375GPa, the particle Poisson's ratio is set to 0.22, and the particle density is set to 2099kg / m 3 , The friction coefficient between the particles and the wall is set to 0.4, the restitution coefficient between the particles and the wall is set to 0.7, the friction coefficient between the particles is set to 0.5, the restitution coefficien...

Embodiment 2

[0043] 1) Establish a model consisting of the distributor 1 and the charging tank 3 to simulate the falling process of 300g of aluminum oxide, wherein the length L1=200mm, the height L2=250mm, and the width L3=28mm of the charging tank 3, The length L4 of the discharge opening 2 of the distributor 1 is 28 mm, and the width L5 is 14 mm, and the opposite side walls of the discharge opening 2 of the distributor 1 form an angle of 50° with the horizontal direction.

[0044] 2) Establish particle models with two particle sizes, in which the particle diameters are set to 3mm and 6mm respectively, the particle Young's modulus is set to 375GPa, the particle Poisson's ratio is set to 0.22, and the particle density is set to 2099kg / m 3 , The friction coefficient between the particles and the wall is set to 0.4, the restitution coefficient between the particles and the wall is set to 0.7, the friction coefficient between the particles is set to 0.5, the restitution coefficient between the...

Embodiment 3

[0049] 1) Establish a model consisting of distributor 1 and charging tank 3 to simulate the falling process of 300g of aluminum oxide, where the length L1=200mm, height L2=250mm, width L3=28mm of charging tank 3, The length L4=28mm of the feed port 2, the width L5=14mm, and the opposite side walls of the feed port 2 of the distributor 1 form an angle of 50 degrees with the horizontal direction.

[0050] 2) Establish particle models with two particle sizes, in which the particle diameters are set to 3mm and 6mm respectively, the particle Young's modulus is set to 375GPa, the particle Poisson's ratio is set to 0.22, and the particle density is set to 2099kg / m 3 , The friction coefficient between the particles and the wall is set to 0.4, the restitution coefficient between the particles and the wall is set to 0.7, the friction coefficient between the particles is set to 0.5, the restitution coefficient between the particles is set to 0.6, 3mm particle quality: 6mm The mass of the...

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Abstract

The invention discloses a potential energy change based method for quantitatively characterizing the packing segregation state of particles after falling. The method comprises the following steps: (1), establishing a batching model with SolidWorks; (2), introducing the batching model into LIGGGHTS; (3), establishing particle models with two particle diameters in the LIGGGHTS; (4), performing an analog experiment; (5), substituting recorded data into a segregation index calculation model after the analog experiment is finished to obtain a segregation index. The method can be used for quantitatively characterizing the mixing uniformity degree of particles with different particle diameters and the segregation degree of the particles after falling, thereby reducing the energy consumption effectively and prompting energy conservation and emission reduction.

Description

technical field [0001] The invention relates to the technical field of metallurgical engineering, in particular to a method for quantitatively characterizing the accumulation and segregation state of particles after falling based on potential energy changes. Background technique [0002] In recent years, the iron and steel situation has become increasingly severe. How to further reduce smelting costs and reduce energy consumption is of great significance to iron and steel enterprises. Blast furnace ironmaking is a major energy consumer in the entire process, and iron and steel enterprises pay more attention to saving blast furnace raw materials. In actual production in the past, in order to ensure smooth operation of the furnace, taking sinter as an example, it is usually required that the particle size of the sinter into the furnace should be greater than 5mm, so the sinter under the screen must be returned to the sinter plant for re-sintering, a large amount of The retu...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N15/00
Inventor 徐健况成伟胡招文石峰冷兴容王冬东邓青宇白晨光温良英邱贵宝吕学伟张生富扈玫珑
Owner CHONGQING UNIV
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