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High-energy-efficiency milling error dynamic distribution characteristic identification method

A milling and error dynamic technology, applied in special data processing applications, complex mathematical operations, geometric CAD, etc.

Pending Publication Date: 2021-11-09
HARBIN UNIV OF SCI & TECH
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  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0006] The research and development purpose of the present invention is to solve the problem that the existing milling machining error identification method ignores the milling cutter and its cutter tooth instantaneous cutting behavior change and affects the dynamic formation process of the milling surface. A brief overview of the present invention is given below in order to provide A basic understanding of certain aspects of the invention

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  • High-energy-efficiency milling error dynamic distribution characteristic identification method
  • High-energy-efficiency milling error dynamic distribution characteristic identification method
  • High-energy-efficiency milling error dynamic distribution characteristic identification method

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specific Embodiment approach 1

[0105] Specific implementation mode one: combine figure 1 This embodiment is described. The method for identifying the dynamic distribution characteristics of energy-efficient milling errors in this embodiment can identify the dynamic distribution characteristics of milling errors, which can provide a more convenient method for realizing the precise control of the surface formation process of high-energy-efficiency milling. Most of the existing milling error identification methods focus on the overall level of the milling surface geometric parameters and the degree of deviation from the design index. Compared with the existing methods for identifying the overall level of milling processing errors, the present invention uses a time-frequency analysis method to quantitatively describe the dynamic distribution characteristics of milling processing errors.

[0106] Using the change characteristics of the instantaneous cutting behavior of adjacent teeth under the action of the toot...

specific Embodiment approach 2

[0128] Specific implementation mode two: combination Figure 1-Figure 4 Describe this embodiment, the energy-efficient milling error dynamic distribution characteristic identification method of this embodiment, and the high-energy-efficiency milling error point-by-point solution method. The specific calculation steps are as follows:

[0129] The instantaneous cutting behavior of high-energy-efficiency milling cutters and their teeth directly affects the formation process of the milled surface, thereby affecting the distribution of milling errors. In the existing milling machining error measurement and characterization, the error maximum method is mainly used to judge the overall deviation level of the milling surface geometric parameters, ignoring the time-frequency localization characteristics of the relative position vector of the remaining milling surface feature points between the teeth. In the technical feature, the relative position vector of the milling surface is calcu...

specific Embodiment approach 3

[0159] Specific implementation mode three: combination Figure 1-Figure 7 Describe this embodiment, the method for identifying the dynamic distribution characteristics of high-energy-efficiency milling processing errors in this embodiment, and the characterization method for the time-frequency characteristics of dynamic distribution of high-energy-efficiency milling processing errors. The specific calculation steps are as follows:

[0160] The time-frequency analysis method plays an important role in quantitatively describing the diversity of milling errors. The existing studies on the dynamic distribution of milling machining errors have neglected the differences in the instantaneous cutting behavior of each tooth and the time-frequency characteristic changes of the position vectors of the residual milling surface feature points between the teeth. In the present invention, the time-frequency characteristic of the milling processing error index is used to characterize the dyna...

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Abstract

The invention discloses a high-energy-efficiency milling error dynamic distribution characteristic identification method, and belongs to the technical field of machining. The method comprises a high-energy-efficiency milling error point-by-point resolving method, a high-energy-efficiency milling error dynamic distribution time-frequency characteristic characterization method and a high-energy-efficiency milling error dynamic distribution influence factor identification method, a high-energy-efficiency milling error point-by-point resolving model is established, and the milling error dynamic distribution time-frequency characteristic is characterized, influence factors of high-energy-efficiency milling error dynamic distribution are identified, the effectiveness of the method is verified by combining a resolving example and an actual measurement result, and the dynamic distribution characteristics of the milling errors are accurately described.

Description

technical field [0001] The invention relates to an identification method for the dynamic distribution of milling processing errors with high energy efficiency, and belongs to the technical field of mechanical processing. Background technique [0002] Energy-efficient milling cutters are widely used due to their excellent cutting performance. The error distribution characteristics of high-energy-efficiency milling are important indicators for evaluating the change of surface geometric parameters, cutting stability and dynamic cutting energy efficiency of milling cutters. During the high-speed and intermittent cutting process of the milling cutter, affected by the continuous change of the cutting load, the milling surface formation process is in an unstable state, and the milling machining error is constantly changing, which directly affects the dynamic cutting energy efficiency and the consistency of the processing quality of the milling cutter. Therefore, in order to realiz...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/17G06F30/20G06F17/18G06F111/10
CPCG06F30/17G06F30/20G06F17/18G06F2111/10
Inventor 姜彬范丽丽赵培轶
Owner HARBIN UNIV OF SCI & TECH
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