Method for predicting elasticity modulus of polycrystalline material

Abstract

The invention discloses a method for predicting the elasticity modulus of a polycrystalline material, and belongs to the technical field of metal material service life testing. The method comprises the following steps: (1) selecting a typical section of a material, and preparing an EBSD sample; (2) carrying out an EBSD experiment to obtain phase and orientation data; (3) importing the phase and orientation data measured by the EBSD into matrix operation software; and (4) calculating by using the elastic modulus geometric average model, the phase and orientation data obtained by the EBSD and the elastic modulus matrix of the corresponding single crystal to obtain the elastic modulus matrix of the polycrystalline material. According to the method, the quantitative relation between the microstructure and the elastic performance is established, and rapid prediction of the elastic performance of the material structure in different directions is achieved, so that the experiment amount needing to be developed in the material process optimization process and the component rigidity verification process is greatly reduced.

Description

technical field [0001] The invention relates to the technical field of life testing of metal materials, in particular to a method for predicting elastic modulus of polycrystalline materials. Background technique [0002] The elastic modulus (including Young's modulus and shear modulus) is the basic mechanical property of structural materials, and it is of great significance for the optimization design of material structure performance and the stiffness verification of engineering structural parts. Generally speaking, the most direct and effective way to obtain the elastic modulus of material tissue is to test by ultrasonic method or mechanical method [Meyers MA, ChawlaKK. Mechanical behavior of materials: Cambridge: Cambridge university press, 2009.]. Although these methods themselves are not complicated, engineering structural parts are usually subjected to complex loads during actual use, so it is often necessary to measure the modulus matrix of the material, which greatly...

AI Technical Summary

Problems solved by technology

Therefore, these two theories are difficult to really predict the elastic modulus of the material structure

[0004] In summary, establishing the relationship between tissue and elastic modulus and realizing the rapid prediction of modulus has important engineering and theoretical significance. However, there is no suitable theoretical model and technical means at present.

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