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

BP and GA based blade machining cutting quantity optimization selection method

A technology for optimizing selection and blades, applied in genetic models, data processing applications, special data processing applications, etc., can solve problems such as the inability to dynamically describe the change of the output objective function, and the low utilization rate of numerical control technology

Inactive Publication Date: 2015-12-16
XIAN TECH UNIV
View PDF2 Cites 40 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a method for optimal selection of blade processing cutting parameters based on BP and GA, aiming at solving the problem of conventional cutting parameters that are usually selected and kept unchanged for the sake of safety in the existing technology. The utilization rate is not high, the data is discrete, and the problem that the output objective function changes with the cutting parameters cannot be dynamically described.

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
  • BP and GA based blade machining cutting quantity optimization selection method
  • BP and GA based blade machining cutting quantity optimization selection method
  • BP and GA based blade machining cutting quantity optimization selection method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0114] In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0115] combined with figure 1 To illustrate this case, the embodiment of the present invention is implemented in this way, a method for optimizing the cutting amount of blade machining based on BP and GA, the steps of the method include:

[0116] S101. Based on the metal cutting theory, taking the helical milling process of the ball nose cutter as the research object, establishing the milling model of the aluminum alloy blade;

[0117] S102. Using ABAQUS nonlinear finite element analysis software, simulate the milling process of the aeroengine blade, analyze the variation law of the machining deformation in the milling pro...

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 discloses a BP and GA based blade machining cutting quantity optimization selection method. The method comprises: establishing an aluminum alloy blade milling model by taking a spiral milling process of a ball end mill as a research object; simulating milling of blades of an aeroengine by using ABAQUS nonlinear finite element analysis software; summing up a change pattern between a cutting parameter and a deformation amount in milling simulation and a relationship between the cutting parameter and the deformation amount by using an artificial neural network algorithm, and establishing a blade milling deformation prediction model; and determining a design variable, a target function and a constraint condition for cutting parameter optimization, constructing a cutting parameter optimization model of aluminum alloy blades, and optimizing the cutting parameter by using a genetic algorithm. According to the method, the functional relationship between the deformation amount and the cutting parameter is established, and the cutting parameter optimization model is established, thereby providing a reasonable and quick cutting parameter selection method to guide actual production.

Description

technical field [0001] The invention belongs to the field of mechanical processing, and in particular relates to a method for optimizing and selecting blade machining cutting amount based on BP and GA. Background technique [0002] Aeroengine is the "heart" of aircraft and one of the determinants of aircraft performance. It belongs to the key high-tech fields of national defense. The research and development of aero-engine involves many disciplines, and it is a high-tech product that belongs to multidisciplinary comprehensive technology. There are many countries that can develop aircraft in the world today, but only four countries that can truly independently develop advanced aero-engines are the United States, France, the United Kingdom, and Russia. Therefore, it is a symbol of a country's scientific level and comprehensive technical capabilities, and even more so. It is a symbol of a country's comprehensive national strength. In the structural design of emerging aero-eng...

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 Applications(China)
IPC IPC(8): G06F17/50G06Q10/04G06N3/02G06N3/12
Inventor 曹岩白瑀杜江董雪娇
Owner XIAN TECH UNIV
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