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Numerical control machine tool multi-working-condition cutting parameter optimization method based on multilayer perceptron

A multi-layer perceptron and CNC machine tool technology, applied in the direction of digital control, program control, electrical program control, etc., can solve the problems of offset and influence between processing parts and machine tool tools, and unfavorable quality and performance of processed workpieces. Achieve the effect of improving efficiency and good data fitting effect

Pending Publication Date: 2022-04-22
CHONGQING UNIV OF POSTS & TELECOMM
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Problems solved by technology

This phenomenon often results in misalignment between the machined part and the machine tool, which can have a very negative impact on the quality and performance of the workpiece being machined

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  • Numerical control machine tool multi-working-condition cutting parameter optimization method based on multilayer perceptron
  • Numerical control machine tool multi-working-condition cutting parameter optimization method based on multilayer perceptron
  • Numerical control machine tool multi-working-condition cutting parameter optimization method based on multilayer perceptron

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Embodiment Construction

[0040] The technical solutions in the embodiments of the present invention will be described clearly and in detail below with reference to the drawings in the embodiments of the present invention. The described embodiments are only some of the embodiments of the invention. The technical scheme that the present invention solves the problems of the technologies described above is:

[0041] The overall process of the research method for the optimization of cutting machining parameters under multiple working conditions under the uncertainty of spindle coordinates and tool parameters in CNC machine tool milling is as follows: figure 1 As shown, the present invention takes a vertical machining center as an example for analysis. First, the orthogonal experiment is used to design the discrete machine tool workspace, tool diameter, and overhang length, and then combined with the hammering modal experiment method, the workpiece-tool system is obtained. The frequency response function c...

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Abstract

The invention relates to a numerical control machine tool multi-working-condition cutting parameter optimization method based on a multilayer perceptron, and belongs to the field of numerical control machine tool intelligent manufacturing equipment. The invention provides a multi-working-condition cutting parameter optimization method of a numerical control machine tool based on a multi-layer perceptron, aiming at solving the problem of uncertainty of machine tool coordinates and cutter parameters of the numerical control machine tool, which can cause strong flutter of the numerical control machine tool in a cutting process. The method comprises the steps that firstly, a tool nose frequency response function curve based on different main shaft coordinates, tool diameters and overhanging lengths needs to be obtained under a hammering modal experiment, and a milling stability lobe graph is drawn by combining a modal theoretical formula and milling chatter stability mathematical model analysis; according to a cutting chatter stability prediction method, constructing a limit cutting depth MLP prediction model taking the displacement of a moving part in each direction, the diameter of a cutter, the overhanging length, the rotating speed of a main shaft, the cutting width and the feeding amount of each tooth as input; the regression prediction model is adopted as a cutting stability constraint to establish a multi-objective optimization model of the material removal rate and the cutter life, and optimal machining parameter configuration is solved through a non-dominated sorting NSGAII algorithm with an elitist strategy. And example research and analysis are carried out by one machining center, so that the obtained optimal configuration can meet stable cutting of the machine tool, and the reliability and the effectiveness of the method are verified.

Description

technical field [0001] The invention belongs to the field of intelligent manufacturing of numerical control machine tools, and relates to a multi-layer perceptron-based cutting parameter optimization method for multi-working conditions of numerical control machine tools. Background technique [0002] The chatter problem in the high-speed milling process is an important factor affecting the machining efficiency and machining accuracy of CNC machine tools. According to its cause, it is usually divided into free vibration, forced vibration and self-excited vibration (ie chatter). Among them, the self-excited vibration is the vibration maintained by the vibration system by the excitation generated by itself. During the milling process, the strong self-excited vibration between the tool and the workpiece will drastically deteriorate the surface quality and dimensional accuracy of the workpiece, and reduce the service life of the tool and CNC machine tools. It is a key factor that...

Claims

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Application Information

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IPC IPC(8): G05B19/19
CPCG05B19/19G05B2219/35349
Inventor 王頲陈银平邓聪颖范冶林丽君
Owner CHONGQING UNIV OF POSTS & TELECOMM
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