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Artificial agglomerated stone manufacturing pretreatment method utilizing optimized aggregate gradation interface performance

A technology of artificial stone and interface performance, applied in design optimization/simulation, special data processing applications, instruments, etc., can solve the impact of lack of quantitative, scientific, intelligent, artificial stone product performance and cost , low production efficiency and other issues

Pending Publication Date: 2022-03-15
GUANGXI ACAD OF SCI
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AI Technical Summary

Problems solved by technology

At present, in the field of traditional artificial stone manufacturing industry in Guangxi and even in China, there are still common difficulties and pain points such as factors such as human operation and experience that have a significant impact on the performance and cost of artificial stone products.
In the stage of sample preparation and trial production of artificial granite, the proportion of the aggregate system is mostly adjusted by experience, and it often takes multiple trials and deployments to obtain an ideal proportion formula. The trial production process is long and costly; in the face of large aggregates In the raw material products and the actual production process, the ratio of artificial stone raw materials has always followed the empirical formula, and the production technology is relatively backward, resulting in serious product homogeneity, and relying too much on the experience of production technicians.
While the production efficiency is low, there is still a lack of quantitative, scientific and intelligent key technology research that can guide the production of artificial granite
[0003] The inability to obtain the artificial stone aggregate formula affects the overall mechanical properties of artificial stone products from the inside, which has long puzzled the technicians in the artificial stone industry. At present, it is still urgent to explore the standardized method of obtaining the ideal artificial stone formula and break through the tradition. It is one of the effective ways to essentially reduce the production cost of artificial granite and improve production efficiency by improving the production process and improving the traditional process in the way of intelligent manufacturing

Method used

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  • Artificial agglomerated stone manufacturing pretreatment method utilizing optimized aggregate gradation interface performance

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Embodiment

[0030] A method for pre-manufacturing artificial granite utilizing optimized aggregate gradation interface performance, comprising the following steps:

[0031] (1) Establishment of artificial granite aggregate characterization and selection decision-making data set;

[0032] ① Artificial granite material selection pre-treatment process: comprehensively analyze its chemical composition, three-dimensional microscopic appearance, particle size and gradation composition, and obtain artificial granite aggregate characterization data;

[0033] ②Through experiments and simulations to study the accumulation theory of granite aggregates, characterize and classify them, obtain artificial granite aggregates with stable structure and uniform particle size distribution, and classify them into aggregate information datasets for machine learning according to label types;

[0034] (2) Acquisition of powder gradation and material internal parameters and optimization of machine learning data s...

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Abstract

The invention discloses an artificial agglomerated stone manufacturing pretreatment method utilizing optimized aggregate grading interface performance. The method comprises the following steps: (1) artificial agglomerated stone aggregate characterization and selection decision data set establishment; (2) powder grading, material internal parameter acquisition and machine learning data set optimization; and (3) obtaining adaptive conditions of artificial agglomerated stone aggregate grading-resin system synergistic interaction, establishing an artificial agglomerated stone intelligent production big data set platform, and directly and reversely generating an adaptive artificial agglomerated stone formula according to customization requirements. According to the method, an automatic decision-making process is completed based on an experiment, a data set of an LBM-DEM computer simulation premixing analysis result and machine learning, selection and blending of various levels of blending powder are completed in combination with integrated equipment, complex flowing behaviors of a mixture in a mold are predicted and monitored, the mixing process is simulated in advance, and the mixing efficiency is improved. Therefore, the appropriate use amount of additives such as a multi-element coupling agent in production is deduced reversely, the hydrophobic modification process of the aggregate is quantitatively controlled, and the artificial agglomerated stone is produced in a highly intelligent manner.

Description

technical field [0001] The invention belongs to the technical field of artificial granite manufacture, and in particular relates to a method for pre-manufacturing artificial granite by optimizing aggregate gradation interface performance. Background technique [0002] Artificial granite is currently the most widely used and most used artificial stone. It uses natural marble chips and stone powder as the main raw material, uses unsaturated polyester resin as the cement, and uses high pressure and vibration to shape it. Curing at room temperature, cutting, grinding, polishing and other processes to make plates. At present, in the traditional artificial stone manufacturing industry in Guangxi and even in China, there are still common difficulties and pain points such as human operation and experience that have a significant impact on the performance and cost of artificial stone products. In the stage of sample preparation and trial production of artificial granite, the proport...

Claims

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Application Information

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IPC IPC(8): G06F30/20G06N20/00
CPCG06F30/20G06N20/00
Inventor 黄志民郑益华黎演明马蓝宇徐梦雪莫秋凤黄译锋赖文钦唐耀航房严严谢松伯陈先锐
Owner GUANGXI ACAD OF SCI
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