Intelligent manufacturing method of artificial granite based on control of lbm-dem aggregate gradation interface characteristics

Abstract

The invention discloses an artificial granite intelligent manufacturing method based on LBM‑DEM aggregate gradation interface characteristic control, including: (1) artificial granite aggregate characterization and selection decision-making data set establishment; (2) powder gradation Acquisition of internal parameters of materials and optimization of machine learning data sets; (3) Based on the labeled aggregate system, resin system experimental data set and LBM‑DEM simulation result data set, a simulated data set is formed to complete preprocessing and modeling training process testing (4) Based on the above-mentioned intelligent system, establish an artificial granite production line control system, intelligently control feeding, material mixing, temperature control, dispersion and cost, and realize artificial granite intelligent manufacturing based on LBM‑DEM aggregate gradation interface characteristics control . Through machine learning, the present invention realizes the raw material pretreatment of artificial granite, selects gradation and refines the group, balances the cost and the amount of resin system, completes the link and integration of key technologies such as surface modification and blending, and finally realizes artificial granite Industrial intelligent manufacturing.

Description

technical field [0001] The invention belongs to the technical field of artificial granite manufacturing, and particularly relates to an artificial granite intelligent manufacturing method based on the regulation of LBM-DEM aggregate gradation interface characteristics. Background technique [0002] Artificial granite is the most widely used and used artificial stone at present. It uses natural marble chips and stone powder as the main raw materials, and uses unsaturated polyester resin as the binder. Room temperature curing, 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 the significant impact of human operation and experience on the performance and cost of artificial stone products. In the stage of artificial granite sample preparation and trial production, the proportion of the aggregate system i...

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

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