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Numerical control machine tool cutting stability prediction and optimization method considering parameter uncertainty

A technology of stability prediction and CNC machine tools, which is applied in the field of CNC machine tools, can solve the problems of conservatism and low reliability of stable domain boundaries, and achieve the effect of improving accuracy and improving the economic benefits of manufacturers

Pending Publication Date: 2022-05-17
CHENGDU UNIV
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  • Abstract
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Problems solved by technology

However, when determining the nominal value of the modal parameters and their disturbance boundaries, the influence of factors such as machine tool pose and spindle speed on the cutting stability is ignored, resulting in low reliability or too conservative prediction of the stability domain boundary.

Method used

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  • Numerical control machine tool cutting stability prediction and optimization method considering parameter uncertainty
  • Numerical control machine tool cutting stability prediction and optimization method considering parameter uncertainty
  • Numerical control machine tool cutting stability prediction and optimization method considering parameter uncertainty

Examples

Experimental program
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Effect test

Embodiment

[0050] Such as figure 1 As shown, one aspect of the present invention provides a method for predicting the cutting stability of a numerically controlled machine tool considering parameter uncertainties, comprising the following steps: defining the machine tool as a chain structure product structure model formed by connecting the key components with a joint, and Construct the functional structure model of the chain structure product through a software simulation platform; add constraints including machine tool pose and spindle speed to the software simulation platform to complete the construction of a generalized dynamic machining space machine tool finite element model, expressing The relationship between the machining state of the CNC machine tool and the structural dynamics characteristics; relying on the finite element model of the machine tool in the generalized dynamic machining space, the influencing factors including the frequency response function of the machining point...

example 1

[0086] A method for predicting cutting stability of CNC machine tools considering uncertain parameters includes steps (1) and (2).

[0087] (1) Comprehensively adopt finite element technology, numerical simulation technology and other means to construct a generalized dynamic machining space CNC machine tool finite element model suitable for cutting stability prediction: ① During the cutting process of the machine tool, the tool processing position (that is, the machine position A kind of attitude) and the change of the spindle speed change the dynamic characteristics of the machine tool structure, resulting in uncertainty in the frequency response function of the processing point, where the position of the machine tool processing point is characterized by the displacement (x, y, z) of the moving parts in all directions, and the spindle The rotational speed effect is characterized by quantitative gyro torque and centrifugal force; ② Define the machine tool as a machine tool form...

example 2

[0110] Taking a three-axis CNC machine tool as an example, the strokes of the moving parts in the x, y, and z directions of the machine tool are: 0 ~ 400 mm, 0 ~ 550 mm, 0 ~ 400 mm, and the range of the spindle speed n is 0 ~ 10000 rpm, feed per tooth f z The range of change is 0.03~0.3 mm / z, according to the diameter of 16mm and the number of teeth N Determine the cutting width a for an end mill of 4 e The range of variation is 0 ~ 16 mm, with the process parameter a e , f z , x, y, and z are variables, select 8 values ​​from the value range of each variable as the 8 levels of the orthogonal experiment table in Table 1, and then combine the different levels of each variable to construct the orthogonal experiment table L64 (5 8 ), form the 64 sets of orthogonal test schemes shown in Table 2. Where Table 1 and Table 2 are as follows:

[0111] Table 1 Eight levels of the orthogonal experiment table

[0112]

[0113] Table 2 64 groups of orthogonal test schemes

[0114]...

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Abstract

The invention discloses a numerical control machine tool cutting stability prediction and optimization method considering parameter uncertainty, and the prediction method comprises the steps: defining a machine tool as a chain structure product work structure model, and constructing the chain structure product work structure model through a software simulation platform; constraints including a machine tool pose and a main shaft rotating speed are added in the software simulation platform so as to complete construction of a finite element model of the whole machine tool of the generalized dynamic machining space; based on a whole machine finite element model of a generalized dynamic machining space machine tool, influence factors including a machining point frequency response function and a cutting force coefficient are analyzed and calculated through a robust stability prediction model, so that a high-speed cutting variable parameter stability prediction model is established; and stability verification is carried out on the edge theorem in the robust stability prediction model through a zero arrangement principle, a robust high-speed cutting stability lobe graph is obtained, and prediction of the cutting stability is completed. The predicted stability domain boundary is more practical, and the accuracy of the stability domain boundary is obviously improved.

Description

technical field [0001] The invention relates to the technical field of numerical control machine tools, in particular to a method for predicting and optimizing the cutting stability of numerical control machine tools considering uncertain parameters. Background technique [0002] The formulation of process parameters is an important part of CNC machine tool milling, while the selection of traditional process parameters mainly depends on manual experience, which cannot fully utilize the advantages of high-efficiency and high-precision cutting processing of CNC machine tools. In addition, milling is a periodic intermittent cutting process under the action of a multi-tooth tool. Unreasonable selection of process parameters will induce self-excited vibration (regenerative chatter) in the tool-workpiece system due to displacement delay feedback, thereby reducing cutting efficiency. Workpiece surface quality and accelerated machine tool wear. Therefore, it is an effective method ...

Claims

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Application Information

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IPC IPC(8): G05B19/401
CPCG05B19/401G05B2219/34242Y02P70/10
Inventor 林丽君邓聪颖王清远郑开彬王昌健鄢新章
Owner CHENGDU UNIV
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