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

A Prediction Method of Residual Stress Field in Titanium Alloy Milling

A residual stress and prediction method technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as poor prediction accuracy, heavy testing workload, and difficult control of residual stress field, achieving high accuracy, Effects of rapid prediction and robust design and analysis methods

Active Publication Date: 2018-03-16
NORTHWESTERN POLYTECHNICAL UNIV
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The present invention aims at the problems of difficulty in controlling the residual stress field, heavy testing workload, and poor prediction accuracy in the above-mentioned existing milling process, and proposes a method for predicting the residual stress field of titanium alloy milling based on an exponential decay function, and realizes the prediction of the titanium alloy milling residual stress field. Prediction of residual stress field in alloy milling, and then guide the selection of titanium alloy milling process parameters

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 Prediction Method of Residual Stress Field in Titanium Alloy Milling
  • A Prediction Method of Residual Stress Field in Titanium Alloy Milling
  • A Prediction Method of Residual Stress Field in Titanium Alloy Milling

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0055] Example 1, a method for predicting residual stress field in titanium alloy milling based on exponential decay function

[0056] The prediction method of this embodiment is carried out according to the following steps:

[0057] Step 1: Determine the exponential decay function model of the milling residual stress field:

[0058] The surface layer of titanium alloy is in the state of residual compressive stress after milling, and the residual compressive stress gradually decreases with the increase of the depth below the surface, and reaches the state of residual stress of the matrix. Therefore, an exponential decay function is proposed to describe the milling residual compressive stress curve:

[0059] σ(h)=Ae -λh

[0060] In the formula, σ is the residual stress; h is the depth under the surface; A is the initial value of the residual stress; λ is the exponential decay coefficient, which determines how quickly the residual compressive stress field decays to a stable v...

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 method for predicting a milling residual stress field of titanium alloy. The method can predict the milling residual stress field of the titanium alloy based on exponential decay functions and includes the main steps: 1, determining an exponential decay function model of a milling residual stress field; 2, determining a relation model between a residual stress field control factor and a milling process parameter; 3 selecting the milling process parameter and performing encoding; 4, designing a test scheme, and performing a milling test; 5, testing the residue stress field; 6 solving the residual stress field control factor. The method uses the milling process parameter as an input condition, and can acquire distribution of the residue stress along a surface in the milling process parameter by solving a model coefficient, is simple and reliable, is fast in prediction speed, is high in accuracy, can avoid lots of complex tests, can avoid difficulties of the finite element method and the physical analytical method, and can be used by mass engineering and technical staff.

Description

technical field [0001] The invention belongs to the technical field of mechanical processing of metal materials, and in particular relates to a method for predicting residual stress field of TC17 titanium alloy milling based on an exponential decay function. Background technique [0002] Titanium alloy materials have excellent properties such as light weight, high strength, high temperature resistance, and fatigue resistance. They are important metal materials for manufacturing major equipment in aerospace, national defense and other fields and key parts in new strategic weapons. In the structural design of new aero-engines, in order to achieve the purpose of reducing weight and increasing efficiency, complex thin-walled components are widely used. As the bypass ratio, thrust-to-weight ratio and service life of aero-engines continue to increase, the structure of thin-walled components becomes more complex, the materials are more difficult to process, and the requirements for...

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): G06F17/50
CPCG06F30/20
Inventor 姚倡锋谭靓张定华任军学田荣鑫周征张吉银傅新强周菲
Owner NORTHWESTERN POLYTECHNICAL 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