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A Prediction Method for Microstructure Changes of Near-α-Type Titanium Alloy Aerospace Die Forgings

A technology of microstructure and prediction method, which is applied in the direction of chemical property prediction, furnace type, chemical statistics, etc., to achieve the effect of reducing production cost, improving production efficiency and reducing waste

Active Publication Date: 2022-03-15
YANSHAN UNIV +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] In order to overcome the defects of the prior art, the object of the present invention is to provide a method for predicting the microstructure change of near-α-type titanium alloy aviation die forgings, which can effectively predict the content and Reducing the content of primary α-phase during hot die forging solves a series of problems caused by dynamic phase transformation, and then can provide optimization ideas for the deformation process of titanium alloy die forgings, increase the yield of forgings, reduce production costs, and improve production efficiency

Method used

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  • A Prediction Method for Microstructure Changes of Near-α-Type Titanium Alloy Aerospace Die Forgings
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  • A Prediction Method for Microstructure Changes of Near-α-Type Titanium Alloy Aerospace Die Forgings

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specific Embodiment

[0066] Specifically, the present invention provides a prediction method for evaluating microstructure changes of near-α-type titanium alloy die forgings, the steps are as follows:

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Abstract

The invention provides a method for predicting microstructure changes of near-α-type titanium alloy aviation die forgings, which includes the following steps: S1, microstructure measurement of materials under different process conditions; S2, through statistical analysis of specimen cores under different treatment processes The microstructure of the part, especially the content change of the primary α phase; S3, the establishment of the prediction model of the primary α phase change; S4, the die forging test; S5, based on the prediction model of the primary α phase change, through finite element numerical simulation analysis, to achieve Visual prediction of microstructural changes in near-alpha titanium alloy die forgings. The invention establishes a method for predicting microstructure changes of near-α-type titanium alloy aviation die forgings, which can effectively predict the distribution of the primary α-phase of the near-α-type titanium alloy blank after high-temperature die forging and the amount of α-phase consumed by the dynamic phase transformation. The content of the primary α phase realizes the visual prediction of the change of the primary α phase in the microstructure.

Description

technical field [0001] The invention belongs to the technical field of forging forming microstructure prediction models of titanium alloy forgings, and relates to a method for predicting microstructure changes of nearly α-type titanium alloy aviation die forgings. Background technique [0002] Titanium alloy is an extremely important lightweight structural material with outstanding characteristics such as high specific strength, good corrosion resistance, and good high and low temperature performance. It has very important application value and broad application in the fields of aviation, aerospace, navigation, and medical Application prospects. With the rapid development of the aviation industry, the requirements for the overall performance of the aircraft are getting higher and higher, and the demand for its components is also increasing. In order to meet the requirements of lightweight and lightweight aircraft, the structural parts of the aircraft, especially the load-be...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G16C20/30G16C10/00G16C20/70G16C60/00C21D9/00C21D11/00C22F1/18G06F30/23G06F111/10G06F113/26G06F119/14G06F119/08
CPCG16C20/30G16C10/00G16C20/70G16C60/00C22F1/183C21D11/00C21D9/0075G06F30/23G06F2111/10G06F2119/14G06F2113/26G06F2119/08
Inventor 陈雷张启飞杨帅金淼贾伟谢静孙朝远莫安军崔明亮
Owner YANSHAN UNIV
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