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Dynamic-static optimization method of milling stability of numerical control machine tool

A technology of milling processing and CNC machine tools, which is applied in the direction of program control, computer control, general control system, etc., can solve problems such as less obvious effects, and achieve the effect of improving processing effect and processing efficiency

Active Publication Date: 2018-01-16
SICHUAN UNIV +2
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, the above-mentioned usage methods all start with simulation, and the effect is not very obvious.
Because NC machining will eventually settle on NC code

Method used

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  • Dynamic-static optimization method of milling stability of numerical control machine tool
  • Dynamic-static optimization method of milling stability of numerical control machine tool
  • Dynamic-static optimization method of milling stability of numerical control machine tool

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Experimental program
Comparison scheme
Effect test

Embodiment

[0044] Such as Figure 1-7 As shown, a dynamic-static optimization method for the stability of CNC machine tool milling, including the following steps:

[0045] S1. Install displacement sensors, force sensors and acceleration sensors on the machine tool spindle and tool body to collect machine tool dynamic parameters;

[0046] S2. Transmitting the collected data to the database by wireless;

[0047] S3. Use the self-decision expert system based on BP neural network to learn, fuse and update the collected data;

[0048] S4. Extract the characteristic information of the collected data, output the dynamic natural frequency, modal parameters and cutting force coefficient, and generate the stability lobe diagram of the real-time milling process;

[0049] S5. Find the NC code to obtain the processing parameters and bring them into the stability lobe diagram to determine whether the NC code needs to be optimized in the stability domain. If optimization is required, choose one or ex...

example

[0096] The method of the invention has been well verified in actual processing, and better results have been obtained. Table 1 is the comparison of parameters before and after static offline optimization of NC code.

[0097] Table 1

[0098]

[0099] Figure 7 It is to utilize the method of the present invention to obtain the comparison diagram of the effects before and after the optimization of the stability lobe diagram, wherein point A is in an unstable state before the NC code is dynamically optimized online, and point B is in a stable region after dynamic online optimization, and it can be seen that the improved Processing efficiency.

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Abstract

The invention discloses a dynamic-static optimization method of the milling stability of a numerical control machine tool. According to the method, static and dynamic optimization of a milling processNC code can be realized based on a machine tool state self-decision expert system and a stability lobe diagram. The method includes following specific steps: operation parameters of the machine toolare acquired in real time by employing a distributed wireless sensing system, and the obtained parameters are input into a database; the machine tool state self-decision expert system learns and fusesreal-time data information, updates state parameters of the machine tool, and establishes the stability lobe diagram for the NC code; and static and dynamic optimization of the milling process of themachine tool can be developed on the basis. According to the method, the milling process of the NC code is optimized, the method is more rapid and convenient compared with the conventional optimization method, the machining efficiency can be effectively guaranteed, and good universality is achieved for multi-axis linkage numerical control machine tools of various different control systems.

Description

technical field [0001] The invention belongs to the technical field of computer numerical control milling. The invention relates to a dynamic-static optimization method for the milling stability of a numerical control machine tool. In particular, it relates to a method for optimizing NC codes based on stability lobe diagrams. Background technique [0002] In the manufacture of complex parts in the fields of aviation, aerospace, ships, molds and automobiles, the machining accuracy, surface quality and tool wear of the parts depend on the reasonable selection of processing parameters. The optimization of the NC cutting process covers three aspects: the optimization of the NC cutting process, such as the selection of appropriate machine tools and clamping schemes to achieve the purpose of improving processing efficiency; the optimization of tool paths, through the planning and optimization of tool paths during NC programming To avoid the sudden change of the tool path as much...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B19/4093
Inventor 王家序魏子淇熊青春周青华黄彦彦杨勇周广武蒲伟王洪乐向往杨万友
Owner SICHUAN UNIV
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