Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

A kind of blade polishing processing method based on neural network

A technology of neural network and neural network model, which is applied in the field of blade polishing and grinding based on neural network, can solve the problems that affect the accuracy of data and it is difficult to guarantee the quality of processing, so as to improve the recognition ability and accuracy, improve the accuracy, The effect of objective and accurate data

Active Publication Date: 2021-02-26
CHONGQING UNIV OF TECH
View PDF15 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

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

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A kind of blade polishing processing method based on neural network
  • A kind of blade polishing processing method based on neural network
  • A kind of blade polishing processing method based on neural network

Examples

Experimental program
Comparison scheme
Effect test

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...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to a neural network-based blade polishing processing method, which scans and measures the hairy parts of the blade through a measuring device and transmits the information to the computer software to obtain a reconstructed three-dimensional model, and compares it with the characteristic points on the theoretical model Make a comparison, adjust and make the coordinate systems of the two models coincide, so as to calculate the theoretical machining allowance of the blade; use historical data to train the neural network model, so that the neural network model can identify the processing under different theoretical machining allowances Process parameter configuration; input the theoretical machining allowance of the blade into the neural network model, and the neural network model calculates the processing parameters of the blade processing for polishing; scan and measure the processed blade and The information is transmitted to the computer software to obtain an updated model, which is compared with the three-dimensional model before processing and the material removal amount of the blade is calculated; if the size of the blade after processing meets the tolerance requirements, the processing is considered complete.

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

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): B24B21/16G06N3/04G06N3/08
Inventor 张明德卢建华程伟华
Owner CHONGQING UNIV OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com