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

Method for determining Avrami mathematical model coefficient of metal dynamic recrystallization volume fraction

A volume fraction and mathematical model technology, applied in the direction of electrical digital data processing, special data processing applications, instruments, etc., can solve the problems of huge consumption of funds, heavy workload, poor applicability, etc., and achieve low sample consumption and low workload. The effect of low and simple calculation process

Pending Publication Date: 2019-09-17
BENGANG STEEL PLATES
View PDF6 Cites 15 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0031] Both of the above two methods can obtain the coefficients of the Avrami equation, but both have unavoidable defects
The former metallographic test method not only has a huge workload, but also consumes a lot of funds
The second stress-strain curve analysis method requires the steady-state stress σ ss participate in the calculation, but in the stress-strain curves of most metals and alloys, there is no steady-state stress σ ss , so its applicability is poor

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 for determining Avrami mathematical model coefficient of metal dynamic recrystallization volume fraction
  • Method for determining Avrami mathematical model coefficient of metal dynamic recrystallization volume fraction
  • Method for determining Avrami mathematical model coefficient of metal dynamic recrystallization volume fraction

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0067] The invention provides a method for determining the coefficient of the Avrami mathematical model of the dynamic recrystallization volume fraction of a metal, and the specific steps are as follows:

[0068] Step 1. Obtain the stress-strain curve of the material through experiments, such as figure 2 As shown; after the sample is deformed, it is immediately water-quenched to retain its deformed structure. The quenched structure is as follows image 3 As shown, the recrystallized grains are as Figure 4 As shown, then observe the metallographic structure inside the sample, and the measured recrystallization volume fraction is 28.1%;

[0069] Step 2. Determine the critical strain ε for dynamic recrystallization c , first, for specific deformation conditions (temperature and strain rate), use formula (1) to calculate the slope θ of the corresponding stress-strain curve everywhere;

[0070]

[0071] Then use θ as the ordinate and σ as the abscissa, draw the curve, ε c ...

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 provides a method for determining an Avrami mathematical model coefficient of a metal dynamic recrystallization volume fraction, and the method comprises the following steps: 1, obtaining a stress-strain curve of a material, carrying out water quenching treatment on a sample after the sample is deformed, observing a metallographic structure in the sample, and measuring the recrystallization volume fraction; 2, determining critical strain epsilon c of dynamic recrystallization; 3, determining a return curve; 4, calculating a curve of the volume fraction of the dynamic recrystallization along with the strain; and 5, solving coefficients m and epsilon * of the Avrami mathematical model according to the curve obtained in the step 4. According to the method, only the recrystallization volume fraction in the sample after deformation is measured, the recrystallization volume fraction of the sample in the deformation process is not needed, an equation is directly used for obtaining the curve of the recrystallization volume fraction changing along with strain, and steady-state stress epsilon ss does not need to participate in calculation; compared with the existing method, the method provided by the invention has the advantages of less parameters required in the calculation process, low workload and less sample consumption, and is suitable for popularization.

Description

technical field [0001] The invention relates to the technical field of material microstructure analysis, in particular to a method for determining the Avrami mathematical model coefficient of the dynamic recrystallization volume fraction of metals. Background technique [0002] Metals and alloys will accumulate a large amount of distortion energy inside after plastic deformation. At this time, if it is heated to an appropriate temperature and heat-preserved, the internal distorted structure will nucleate again and the grain grows to form undistorted grains. This process is called the recrystallization process; the recrystallization process Simultaneously with the deformation process, such recrystallization is called dynamic recrystallization; dynamic recrystallization volume fraction is the percentage of the total volume of recrystallized grains in the total volume of the sample, which is closely related to heating temperature, holding time and deformation degree. It can us...

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
IPC IPC(8): G06F17/50
CPCG06F30/20
Inventor 孟庆刚赵广东王鲁宁王亚芬郭晶韩丹
Owner BENGANG STEEL PLATES
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