Evaluation method for auto sheet texture

Abstract

The invention relates to an evaluation method for auto sheet texture. The method comprises the following steps: calculating the anisotropy constant m of each [uvw] in an {hkl} crystal face by adopting a formula (described in the specification), and calculating earing indexes q of different crystal faces by adopting a formula being q=[m(maximum)-m(minimum)] / m(average); measuring the texture by adopting an X-ray inverse pole figure method or a neutron-ray inverse pole figure method, and calculating the earing tendency Q of a sample by adopting a formula being Q=total summation qf; and judging the Q by comparing, and evaluating advantages and disadvantages of textures among samples. The method is simple, convenient and practical, can be used for performing quantitative evaluation on the advantages and disadvantages of the textures of metal sheets, such as auto panels, and provides a basis for improving a technique and improving the performances of the auto sheet, so that a bridge is erected between the sheet performance and the technique, and the problem of texture evaluation of the sample with the relatively small difference can be effectively solved. The method can be used in various labs as a conventional method.

Description

technical field [0001] The invention relates to a texture evaluation method, in particular to an evaluation method for the texture of an automobile sheet. Background technique [0002] Texture is the preferred orientation of crystals in polycrystalline materials. It has a great influence on the deep drawability of panels such as automotive panels and household appliance panels. The reason is that ferrite crystals have strong anisotropy, such as {110} crystal planes The anisotropy is the most serious, while the anisotropy of the {111} crystal plane is the smallest. The research shows that {111} texture is a favorable texture for automobile and home appliance panels, while {110} texture is an unfavorable texture for automobile and home appliance panels. It can be seen that optimizing the texture is very important to improve the performance of the object. In order to achieve the purpose of optimizing the texture, it is first necessary to analyze the texture components of the ...

AI Technical Summary

Problems solved by technology

However, this parameter is very simple, discarding a lot of information, and the texture options are also inappropriate

[0003] It is imperative to seek a better index as a criterion to evaluate the texture of automobile panels. However, there is no practical method to use texture to characterize the deep drawability of materials, although some scholars use the X-ray ODF method to characterize The performance of materials, but because of its complex measurement and calculation, most laboratories do not have the corresponding equipment and technology, so it has not been used as a routine method so far

Images