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

Method and system for coordinated optimization of low-energy grain boundary density and grain size

A technology of grain size, coordinated optimization, applied in the field of metal plastic forming, can solve the problems of low-energy grain boundary density and grain size, and achieve the effect of high low-energy grain boundary density and improved valve performance.

Active Publication Date: 2021-09-21
CHONGQING UNIV
View PDF7 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Aiming at the deficiencies of the above-mentioned technologies, the present invention provides a coordinated optimization method of low-energy grain boundary density and grain size, and solves how to find suitable thermoplastic deformation parameters in the thermoplastic processing process of metal materials to realize low-energy grain boundary density control and grain size. Technical Problems of Coordinated Optimization of Dimensions

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
  • Method and system for coordinated optimization of low-energy grain boundary density and grain size
  • Method and system for coordinated optimization of low-energy grain boundary density and grain size
  • Method and system for coordinated optimization of low-energy grain boundary density and grain size

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0042] 1) Establish the response relationship between energy storage and grain size

[0043] During the deformation process, the stored energy of the deformed material can be estimated by the dislocation density.

[0044]

[0045] where G is the shear modulus, b is the absolute value of the Burger vector, ρ is the dislocation density, K is the arithmetic mean of 1 and (1-ν), and ν is Poisson's ratio.

[0046] The dislocation density ρ is related to the steady-state flow stress σ, as shown in formula (2), where c 1 is a constant.

[0047]

[0048] During the steady-state thermal deformation of the material, the average grain size and the steady-state flow stress have a power-law relationship, as shown in formula (3).

[0049]

[0050] Among them, n is the correlation index with the grain size, ranging from 0.4 to 0.8; c 2 is a constant.

[0051] Therefore, combining formula (1), formula (2) and formula (3), the formula of energy storage can be expressed as formula ...

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

PropertyMeasurementUnit
diameteraaaaaaaaaa
lengthaaaaaaaaaa
Login to View More

Abstract

The invention discloses a coordinated optimization method and system for low-energy grain boundary density and grain size, and coordinates and optimizes thermoplastic deformation process parameters by introducing key evaluation index energy storage to obtain a uniformly refined structure with high low-energy grain boundary density; obtain the material to be tested Based on the isothermal thermal compression experimental data, the response relationship and model between energy storage and average grain size are established; the response relationship of low-energy grain boundary density with energy storage and average grain size as variables is established, and then the evolution model of low-energy grain boundary density is established; Develop a low-energy grain boundary density prediction and analysis system to obtain the core subroutines of grain size and low-energy grain boundary density and couple them to the finite element software. Through real-time monitoring of average grain size, energy storage and low-energy grain boundary density, iterative correction The main process parameters realize the dynamic coordination and optimization between grain size and low-energy grain boundary density. The invention can reveal the evolution of the low-energy grain boundary density in the process of thermoplastic deformation, and realize the coordinated optimization of the low-energy grain boundary density and grain size.

Description

technical field [0001] The invention belongs to the invention patent and belongs to the field of metal plastic forming in material processing engineering. Background technique [0002] Nickel-based superalloys are superalloys with low stacking fault energy, and low-energy grain boundaries Σ3 n (n=1,2,3) Low grain boundary content will aggravate grain boundary crack propagation, while high content, uniformly refined Σ3 n The grain boundary can fully crack the free grain boundary network and effectively prevent the formation and expansion of cracks, thereby significantly improving the fatigue resistance and creep performance of the alloy, and solving the problems caused by the low cracking degree of the grain boundary network of the nickel-based superalloy valve billet. The problem of engine power drop and even sudden destruction is of great significance. However, apart from the traditional trial-and-error method, there is no effective method to monitor the content and distr...

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): G06F30/23C22F1/10
CPCC22F1/10G06F30/23
Inventor 权国政张钰清赵江马遥遥温志航沈力
Owner CHONGQING 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