A realization method of inversion and identification of crystal plastic material parameters based on nanoindentation experiment

A material parameter and nano-indentation technology, which is used in the application of stable tension/pressure to test material strength, analyze materials, and test material hardness, etc., can solve the problems of difficult material constitutive parameter identification, calculation result error, etc. The effect of high convergence, improved accuracy, high practical value and reference significance

Active Publication Date: 2021-05-18
DALIAN UNIV OF TECH
View PDF11 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, when there is no accurate load-displacement (indentation depth) curve, there may be large errors in the calculation results, so it is difficult to quickly and accurately identify the constitutive parameters of the material

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
  • A realization method of inversion and identification of crystal plastic material parameters based on nanoindentation experiment
  • A realization method of inversion and identification of crystal plastic material parameters based on nanoindentation experiment
  • A realization method of inversion and identification of crystal plastic material parameters based on nanoindentation experiment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0034] The present invention will be further described below in conjunction with specific examples.

[0035] See attached figure 1 As shown, the specific implementation steps of the method for calibrating the microscopic constitutive parameters of metal materials based on nanoindentation and finite element simulation of crystal plastic material parameters include:

[0036] Step 1: Nanoindentation experiment of the metal material to be tested

[0037] 1-1: Select 304 stainless steel material as the test piece, cut the material, and use mechanical polishing and vibration polishing to obtain the nano-indentation test piece that meets the requirements;

[0038] 1-2: Use the nano-indentation xp system to carry out indentation test on the indentation specimen. In the test, the indentation depth was set to 2 microns, and the experimental indentation response including load-displacement curve, maximum load, contact stiffness and contact hardness was obtained. Repeat the test many t...

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

PropertyMeasurementUnit
modulusaaaaaaaaaa
yield stressaaaaaaaaaa
strain hardening exponentaaaaaaaaaa
Login to view more

Abstract

The invention belongs to the technical field of characterization of mechanical properties of materials, and provides a method for realizing parameter inversion identification of crystal plastic materials based on nano-indentation experiments. In this method, firstly, the Oliver-Pharr method is used to obtain the elastic modulus of the material; secondly, the piecewise linear / power law hardening material model is used, combined with MATLAB and ABAQUS to establish a nanoindentation macro parameter inversion model, and the accumulation / sinking parameters are used to analyze the actual The nano-indentation experimental data is corrected, and the macro-constitutive parameters of the indented material are calculated by combining the Kriging proxy model and the genetic algorithm; finally, the polycrystalline finite element model of the tensile specimen based on the crystal plastic finite element is established by combining MATLAB and ABAQUS, according to The obtained material constitutive parameters are combined with the Kriging surrogate model and the genetic algorithm to calculate the crystal plastic material parameters. Compared with the prior art, the present invention can improve the accuracy of calculation data, significantly reduce the amount of calculation, and improve the convergence of calculation, and has high practical value and reference significance in the inversion identification of crystal plastic material parameters.

Description

technical field [0001] The invention belongs to the technical field of characterization of mechanical properties of materials, and relates to a method for inverting and calibrating microscopic constitutive parameters of metal materials based on nano-indentation experiments of crystal plastic material parameters. Background technique [0002] The mesoscopic mechanical behavior of materials directly affects the strength and other macroscopic mechanical properties of materials. Studying the mechanical behavior of materials from the mesoscopic scale is helpful to deepen the understanding of the mechanism of material deformation and damage, and has a positive impact on the use and performance improvement of materials. Significance. In the study of mesomechanics, the strengthening of crystalline materials is an important part of the elastic-plastic constitutive description of crystalline materials. A simple form of the crystal slip hardening modulus was proposed by Peirce et al. ...

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
Patent Type & Authority Patents(China)
IPC IPC(8): G01N3/08G01N1/32
CPCG01N3/08G01N1/32G01N3/42G01N2203/0218G01N2203/0286
Inventor 蒋玮李银银
Owner DALIAN UNIV OF 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