An application method of big data in 3D printing technology

Abstract

The invention discloses an application method of large data in 3D printing technology, the method uses an online printing platform based on big data. The platform comprises a printing device, a serverand a client, wherein the client is connected with the server, the server is connected with the printing device, the client comprises a computer or a mobile phone, and the server comprises a networkmodule, a data module, a storage module, an analysis module, an aggregation module and an application module which are connected in turn; The method comprises the following steps: 1) the printing device uses a high-energy heat source to heat the material according to a set parameter; 2) the client transmits the 3D printing requirement and the 3D model to the servr; 3) the server connects the running parameter with the cloud server through the Internet; 4) the cloud server carries out big data analysis processing on the parameters sent in the step 3) and feeds back the big data analysis processing to the server for regulation; 5) the printing device receives the printing instruction from the server and prints.

Description

technical field [0001] The invention belongs to the technical field of chemical production, and in particular relates to an application method of big data in 3D printing technology. Background technique [0002] With the rise of big data technology, compared with traditional statistical methods, big data highlights the characteristics of only asking about correlation, not causation, and focusing on the analysis of the correlation between data. The impact relationship between variables that are difficult to measure has its unique features. For example, the production conditions in production unit A will affect the quality of the intermediate products output by unit A. If the quality of intermediate products cannot be tested online or the test cost is high, these hidden The relationship contained will also affect the production status of the subsequent production unit B. Through big data analysis technology, not only the failure of unit A can be monitored and diagnosed, but al...

AI Technical Summary

Problems solved by technology

During the operation of the selective laser melting equipment, the worktable (that is, the bottom of the forming cylinder supported by the piston) is generally driven by a motor to lower a layer thickness. However, due to the limited accuracy of the motor encoder, the motor running step obtained by each calculation There is still a fractional part in the number. In the prior art, the decimal part is generally omitted, rounded up to an integer or rounded up. In this way, with the increase of the number of sintered layers of the part, the error is also constantly accumulating. Therefore, as The higher the height of the sintered part, the greater the accumulated error

At present, there is also a way to control the rise or fall of the piston by using the absolute position to position the number of steps of the motor. Although this method can reduce the influence of the cumulative error, a new positioning value needs to be calculated for each positioning of the motor, that is, It is necessary to accumulate the number of steps of the motor each time. Therefore, with the increase in the number of sintered layers of the workpiece, the difficulty of data processing is greatly increased, and at the same time, the data transmission between the upper and lower computers is increased, resulting in easy occurrence of mistake

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