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Virtual prediction method for material hardening behavior under large strain condition

A prediction method and large-strain technology, applied in computer material science, computational theoretical chemistry, design optimization/simulation, etc., can solve problems such as lack of universal applicability and expensive equipment

Pending Publication Date: 2020-06-26
INST OF METAL RESEARCH - CHINESE ACAD OF SCI
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Even though advanced testing methods such as DIC can obtain the real strain of the necking part in the process of tensile deformation in real time, the expensive equipment does not have universal applicability

Method used

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  • Virtual prediction method for material hardening behavior under large strain condition
  • Virtual prediction method for material hardening behavior under large strain condition
  • Virtual prediction method for material hardening behavior under large strain condition

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0056] (1) Zr-4 alloy rod sample

[0057] The original material is annealed Zr-4 alloy;

[0058] The gauge length of the bar sample is 25mm, and the diameter of the cross section is

[0059] Such as image 3 As shown, the test measured strain rate is 0.0001s -1 The engineering stress-strain curve for the case is given by image 3 It can be seen that the Zr-4 alloy fractured when the engineering strain was 0.34, and the hardening curve under the condition of large strain could not be obtained directly from the test results;

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Abstract

The invention relates to the field of mechanical property characterization, in particular to a virtual prediction method for a material hardening behavior under a large strain condition. The method comprises the following steps: obtaining force displacement and stress-strain data through a uniaxial tension test, fitting a stress-strain curve obtained through the test, establishing a finite elementmodel, simulating a uniaxial tension test process, comparing force displacement results of the simulation and the test, correcting model parameters according to a comparison result, and determining areasonable hardening model. According to the method, the mechanical behavior of the material in the plastic deformation process under the condition of large strain can be accurately predicted by utilizing a finite element method and a uniaxial tension test result. Due to the fact that the maximum strain often exceeds 0.5 in the body forming process, test data of the large strain cannot be obtained generally in the uniaxial tension test. By optimizing the parameters of the material hardening model, the flow curve of the material after epitaxy can be obtained, and the metal flow of the materialin the forging, extruding and rolling processes can also be predicted.

Description

technical field [0001] The invention relates to the field of mechanical performance characterization, in particular to a virtual prediction method for obtaining material hardening behavior under large strain conditions by using a uniaxial tensile test, which belongs to a finite element simulation method. Background technique [0002] Metal plastic forming simulation technology has been widely used in industrial production, aiming to optimize the forming performance of sheet metal pipes, continuously improve the service performance of existing parts, and develop new parts. In the past few decades, simulation technology has continued to improve, and a lot of work has focused on how to improve the accuracy of simulation, including establishing a hardening model that better describes the plastic deformation behavior of materials. Hardening models are used to describe the hardening behavior of materials during plastic deformation. In general, it is considered that the true stres...

Claims

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Application Information

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IPC IPC(8): G06F30/23G16C60/00G16C10/00G06F119/14
CPCG16C60/00G16C10/00
Inventor 宋鸿武邓偲瀛张士宏夏亮亮刘欢
Owner INST OF METAL RESEARCH - CHINESE ACAD OF SCI
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