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A method for predicting the coalescence rate and coalescence strength of crystals under hygroscopicity

A technology of hygroscopic effect and coalescence rate, which is applied in the field of simulation analysis, can solve the problems of difficult to find, long detection time, and no simulation analysis of crystal coalescence rate and coalescence strength, etc., to improve accuracy and obtain experimental data quickly and easily. Effect

Active Publication Date: 2018-12-07
TIANJIN UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

At the same time, because the impact of capillary action is weak and long-lasting, this characteristic makes it difficult to find in industrial production, and the detection time is long. Once found, the damage has already been caused and is irreversible.
[0005] In the previous crystal coalescence detection equipment and measurement methods, there are no patents and literature reports on the simulation analysis of crystal coalescence rate and coalescence strength under the action of capillary condensation and moisture absorption considering the crystal shape and particle size distribution characteristics

Method used

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  • A method for predicting the coalescence rate and coalescence strength of crystals under hygroscopicity
  • A method for predicting the coalescence rate and coalescence strength of crystals under hygroscopicity
  • A method for predicting the coalescence rate and coalescence strength of crystals under hygroscopicity

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0038] In step (1), the spherical crystal particle A is selected, and its particle size distribution and shape characteristics are analyzed by a particle size and shape analyzer. According to its actual particle size distribution, the simulation parameters are simplified to 200, 350, 500, and 650 microns, and the number of particles in each particle size interval is set to 25; according to its spherical shape, see Figure 1A (a), can be simulated using the spherical particle model of DEM. See Figure 1B , input particle parameters (particle diameter, number, density, grouping, void ratio, contact properties) and boundary parameters (wall size, random parameters, contact properties between walls and particles) into the discrete element program, see Table 1 for details , and then output the distribution mode and contact property map of spherical particles, see 1C.

[0039] Table 1 DEM simulation parameter list of crystal A

[0040] parameter name

parameter value ...

Embodiment 2

[0058] In step (1), the cubic crystal particle B is selected, and its particle size distribution and shape characteristics are analyzed by a particle size and shape analyzer. According to its actual particle size distribution, the simulation parameters are simplified to 200, 300, 400, and 500 microns, and the number of particles in each particle size interval is set to 25; according to the shape of its cube, see Figure 2A (a), DEM can be used to simulate a cube composed of 8 spherical particles. See Figure 2B , input cubic particle parameters (irregular particle diameter, number, density, tensor, void ratio, contact properties) and boundary parameters (wall size, random parameters, contact properties between walls and particles) into the discrete element program, See Table 4 for details. The distribution pattern and contact property map of cubic particles can be output, see 2C.

[0059] Table 4 DEM simulation parameter table of crystal A

[0060]

[0061]

[0062] S...

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Abstract

The invention discloses a method for predicting coalescence rate and coalescence strength of crystals under capillary condensation hygroscopicity. The method includes: simulating a crystal particle stacking process based on a discrete element method, predicting the random contact state of crystal particle swarm considering the crystal shape and particle size distribution; measuring the minimum diameter of crystal bridges, the contact angle between crystal particles and water, the capillary condensation point and the deliquescent point of crystal particles; setting the humidity of the hygroscopic environment and measuring the total hygroscopic capacity of a single cycle; according to the Kelvin formula, contact angle, the total moisture absorption per cycle and the crystal particle group random contact state, calculating the hygroscopic capacity of single cycle between two crystals. According to the solubility of crystal, the amount of crystal bridge formation between two crystals is obtained. Combined with the minimum size of a crystal bridge, the variation of coalescence ratio and coalescence strength of crystal particle swarm with time and humidity cycle is predicted. Experimental data are quickly and easily available, months of coalescence studies are shortened to a few days and the prediction accuracy is improved.

Description

technical field [0001] The invention belongs to the technical field of simulation analysis, in particular to a method for predicting the coalescence rate and coalescence strength of crystals under the action of moisture absorption. It can also be used in the study of the coalescence of polar and non-polar liquids on crystals. Background technique [0002] In the field of crystallization, crystals tend to be prepared as a single, dispersed product to have good fluidity and stability. Such crystal products often have obvious commercial competitiveness. However, during the post-processing of crystals (transportation, storage and drying), coalescence is very easy to occur, which becomes a major obstacle to product quality and causes serious losses to the production benefits of salt, sugar, and pharmaceutical crystals. The pervasiveness and harmfulness of the crystal coalescence problem plagues many production areas. Effectively predicting the problem of crystal coalescence ca...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50
CPCG06F30/20Y02P90/30
Inventor 龚俊波陈明洋雷亚伟朱明河侯宝红
Owner TIANJIN UNIV