Blade polishing-grinding machining method based on neural network

A neural network and neural network model technology, applied in the field of blade polishing and grinding based on neural network, can solve problems such as affecting the accuracy of data and difficult to ensure the processing quality, so as to improve the recognition ability and accuracy, improve the accuracy, The effect of objective and accurate data

Active Publication Date: 2019-05-10
CHONGQING UNIV OF TECH
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Problems solved by technology

However, in this method, the quality of blade processing depends on the accuracy of the data in the feature library, and the level of craftsmen affects the accuracy of the data, so it is difficult to guarantee the processing quality

Method used

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  • Blade polishing-grinding machining method based on neural network
  • Blade polishing-grinding machining method based on neural network
  • Blade polishing-grinding machining method based on neural network

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Embodiment Construction

[0029] The technical solution will be further described below in conjunction with specific implementation methods and accompanying drawings.

[0030] A method for blade polishing and grinding based on a neural network, comprising: obtaining blade machining allowance information; using historical data to train a neural network model; determining processing parameters through a neural network model according to the machining allowance, and performing online processing; The parameters are uploaded to the database and the neural network model is updated.

[0031] see figure 1 , including the following steps:

[0032] Step 1: Reconstruct the blade through reverse technology to obtain a 3D model (such as figure 2 As shown), by comparing the three-dimensional model with the feature points on the theoretical model of the blade, adjusting and making the coordinate systems of the two models coincide, so as to calculate the theoretical machining allowance of the blade.

[0033] The s...

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Abstract

The invention relates to a blade polishing-grinding machining method based on a neural network. A blank part of a blade is scanned and measured by a measuring device, information is transferred to computer software so as to obtain a reconstructed three-dimensional model, the reconstructed three-dimensional model is compared with feature points on a theoretical model, adjustment is conducted, coordinate systems of the reconstructed three-dimensional model and the theoretical model coincide, and thus the theoretical machining allowance of the blade is calculated. A neural network model is trained with historical data, thereby being capable of recognizing machining technological parameter configurations under different theoretical machining allowances. The theoretical machining allowance of the blade is input to the neural network model, and machining technological parameters of blade machining are calculated by the neural network model and are used for polishing-grinding machining. The machined blade is scanned and measured, information is transferred to the computer software to obtain an update model, the update model is compared with the three-dimensional model before machining, and the material removal quantity of the blade is calculated. If the size of the machined blade meets the tolerance requirement, machining is completed.

Description

technical field [0001] The invention belongs to the field of mechanical processing, and in particular relates to a neural network-based blade polishing processing method. Background technique [0002] The level of machinery manufacturing is the embodiment of a country's comprehensive national strength. Although the total output value of my country's manufacturing industry ranks first in the world, its key core technologies and cutting-edge products are still far behind developed countries. As an important part of the national defense industry, the research and development and manufacture of aero-engines is related to the national defense security and comprehensive national strength of a country. Blades are key components of aero-engines. At present, the processing method for the blade mainly adopts the conventional process route of die forging blank-rough milling-finish milling-polishing. The purpose of milling is to improve the accuracy of the blade profile, and the purp...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): B24B21/16G06N3/04G06N3/08
Inventor 张明德卢建华程伟华
Owner CHONGQING UNIV OF TECH
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