Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Recognition method of metal material cutting constitutive model parameters

A constitutive model and metal material technology, applied in the field of parameter identification, can solve the problems of time consumption, cost, flow stress data limitation, etc., and achieve the effect of reducing cost and high efficiency

Inactive Publication Date: 2017-11-07
WUHAN INSTITUTE OF TECHNOLOGY
View PDF1 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For a specific constitutive model, reliable constitutive data and corresponding mathematical expressions are required, and the material compression experiment method is the most effective method, and the SHPB experiment is generally used to reproduce the deformation process of the material during the cutting process. Although it has been widely used in the identification of material constitutive parameters, there are still the following defects: (1) The flow stress data obtained by the experiment still has certain limitations, that is, the strain ε≤1, the strain rate Still well below the strain rate during cutting of 10 6 the s -1 ; (2) It takes a lot of compression experiments with special equipment to obtain the deformation state of the material at different temperatures and strain rates, which is time-consuming and cost-intensive

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
  • Recognition method of metal material cutting constitutive model parameters
  • Recognition method of metal material cutting constitutive model parameters
  • Recognition method of metal material cutting constitutive model parameters

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0026] The invention will be further described below with reference to the accompanying drawings and in combination with specific embodiments, so that those skilled in the art can implement it by referring to the description, and the protection scope of the present invention is not limited to the specific embodiments.

[0027] The invention describes a parameter identification method of a metal material cutting constitutive model. The specific implementation method is to use the JC model to describe the plastic deformation characteristics of the metal material in the cutting process, and propose a method based on the cutting force analysis model and right-angle cutting experiments. Combining methods to identify its constitutive model parameters in cutting process.

[0028] The invention relates to a method for identifying parameters of a metal material cutting constitutive model, such as figure 1 As shown, the method steps are as follows:

[0029] (1) According to the influen...

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

No PUM Login to View More

Abstract

The invention relates to a recognition method of metal material cutting structure model parameters. The method comprises the following steps of 1, adopting a JC constitutive model to describe a cutting constitutive model of a material; 2, conducting compression experiment and fitting on a metal material specimen to solve JC constitutive model parameters of the metal material under a low strain rate; 3, using the constitutive model parameters obtained by recognition through the compression experiment in the step 2 as an initial value to establish an optimization target function; 4, setting a standard value of an error between an experiment value of a flow stress and a predicted value, and obtaining a structure parameter optimal solution of the metal material specimen based on a genetic optimization algorithm; 5, verifying the correctness of the parameters obtained by recognizing the JC structure model of the metal material. According to the recognition method of the metal material cutting structure model parameters, the flow stress value obtained through the JC structure model is very close to an actual flow stress value of the metal material, and the efficiency in the process of recognizing the constitutive model parameters is very high; meanwhile, a special apparatus is not needed to conduct a large quantity of compression experiments, and therefore the cost is lowered.

Description

technical field [0001] The invention relates to the technical field of parameter identification, in particular to a method for identifying parameters of a metal material cutting constitutive model. Background technique [0002] At present, there are few studies on the plastic deformation behavior of metallic materials under high strain rates during cutting. Therefore, in order to accurately describe the cutting deformation behavior of metal specimens, it is necessary to establish an accurate material constitutive model and identify the corresponding model parameters, which is of great benefit to accurately predict the state quantity of the cutting process, improve the surface quality of the part, and optimize the cutting process. [0003] Usually, the flow stress σ and strain ε and strain rate of metal material cutting process It is related to physical quantities such as temperature T, and there is a complex constitutive relationship between them: At present, many schola...

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
IPC IPC(8): G06F17/50
CPCG06F30/23
Inventor 付中涛陈绪兵戴耀南毛金城
Owner WUHAN INSTITUTE OF TECHNOLOGY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products