Body-centered cubic alloy microscopic segregation numerical prediction method

A numerical prediction, body-centered cubic technology, applied in electrical digital data processing, special data processing applications, instruments, etc., can solve the problem of inability to accurately predict the micro-segregation of body-centered cubic alloys

Active Publication Date: 2019-09-20
HARBIN UNIV OF SCI & TECH
View PDF0 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to solve the problem that the existing methods cannot accurately predict the formation of mi

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
  • Body-centered cubic alloy microscopic segregation numerical prediction method
  • Body-centered cubic alloy microscopic segregation numerical prediction method
  • Body-centered cubic alloy microscopic segregation numerical prediction method

Examples

Experimental program
Comparison scheme
Effect test

specific Embodiment approach 1

[0076] Specific implementation mode 1: In this implementation mode, a specific process of a numerical prediction method for microscopic segregation of body-centered cubic alloys is as follows:

[0077] Step 1. The dendrite growth calculation domain is in the Cartesian coordinate system, and the dendrite growth calculation domain (already determined) is divided into micro-scale grids, and a square grid with a side length of Δlen is used, and each square grid is used (j,k) logo;

[0078] j represents the coordinate along the X-axis direction of the rectangular coordinate system, k represents the coordinate along the Y-axis direction of the rectangular coordinate system, the value range of j is [1,n], and the value range of k is [1,m]; j and k is an integer, and m and n are even numbers, so there are m×n grids in the dendrite growth calculation domain;

[0079] Step 2. In order to overcome the influence of grid anisotropy on the calculation of dendrite growth, pairing between sq...

specific Embodiment approach 2

[0133] Embodiment 2: The difference between this embodiment and Embodiment 1 is that in the step 3, neighbor objects are assigned to each group of paired grids in the dendrite growth calculation domain, and dendrite growth is completed by capturing the neighbor objects; The process is:

[0134] The labels are (j∈[1,2], k∈[1,m]), (j∈[n-1,n], k∈[1,m]), (j∈[3,n-2] , k∈[1,2]), (j∈[3,n-2)],k∈[m-1,m]) are defined as boundary grids, which do not participate in dendrite growth, so no need assign the neighbor object;

[0135] Each of the remaining paired grids has 4 sets of paired neighbor grids: when the paired grid group consists of (j,k), (j-1,k), (j,k-1) and (j-1 ,k-1) these four grids, then the first group of neighbor grids consists of (j-2,k), (j-3,k), (j-2,k-1) and (j- 3,k-1), the second set of neighbor grids consists of (j+2,k), (j+3,k), (j+2,k-1) and (j+3,k-1) The third group of neighbor grids consists of (j,k-2), (j-1,k-2), (j,k-3) and (j-1,k-3), the fourth group of neigh...

specific Embodiment approach 3

[0138] Specific embodiment three: the difference between this embodiment and specific embodiment one or two is that the state of each square grid in the solidification process is determined in the step four; the process is:

[0139] The boundary grid defined in step 3 can only be in liquid state, that is, state(j,k)=0, state(j,k) is the state of the grid; other grids can have three states:

[0140] when f s When (j,k)=0, it is liquid, state(j,k)=0;

[0141] when 0s When (j,k)<1, it is in the growth state, state(j,k)=1;

[0142] when f s (j,k)=1 and f of the paired grid s Also equal to 1, it will be transformed into a solid state, state(j,k)=2;

[0143] f s (j,k) is the solid phase fraction of the square grid (j,k) (the solid phase fraction of the square grid (j,k) that divides the dendrite growth calculation domain (already determined) into a micro-scale grid ).

[0144] Other steps and parameters are the same as those in Embodiment 1 or Embodiment 2.

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 body-centered cubic alloy microscopic segregation numerical prediction method, and relates to a body-centered cubic alloy microscopic segregation numerical prediction method. The objective of the invention is to solve the problem that the microcosmic segregation formation of the body-centered cubic alloy cannot be accurately predicted by the existing method. The method comprises the following steps: 1, carrying out micro-scale mesh generation; 2, the square grids and the three surrounding grids forming a group; 3, completing dendritic crystal growth; 4, determining the state of the grid; 5, determining a dynamic coefficient; 6, further dividing into four local computational domains; 7, calculating nucleation in a local calculation domain; 8, randomly selecting a certain group of pairing grids in the local calculation domain, and judging whether the group has a nucleation phenomenon or not; 9, capturing four groups of surrounding neighbor pairing grids by the mother core grid; 10, calculating parameters; 11, calculating a solute diffusion equation; 12, repeating step 7-11, and outputting a solute component distribution data file; estimating heat treatment time. The method is used for the field of body-centered cubic alloy microscopic segregation numerical prediction.

Description

technical field [0001] The invention relates to a numerical prediction method for microscopic segregation of a body-centered cubic alloy. Background technique [0002] The casting production process consumes a lot of energy, and at the same time, the discharge of waste slag and dust also pollutes the environment. To improve the yield of castings, it is necessary to start with the study of the formation mechanism of casting defects. Segregation refers to a phenomenon that the internal composition of the casting is not uniform after the casting is solidified. It is divided into segregation on the macro scale, that is, macro segregation and segregation on the micro scale, that is, micro segregation. If macrosegregation does not appear in the riser or does not appear on the surface of the casting, it will lead to the direct rejection of the casting. Microsegregation is the origin of hot cracking, and most studies have shown that heat treatment can effectively reduce microsegre...

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): G06F17/50G16C60/00
CPCG16C60/00G06F30/20
Inventor 刘东戎浦震鹏赵红晨赵思聪郭二军
Owner HARBIN UNIV OF SCI & TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap