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

Carbon fiber reinforced composite material mechanical performance prediction method based on cross-scale simulation

A technology for reinforced composite materials and performance prediction, applied in design optimization/simulation, special data processing applications, instruments, etc., can solve bottlenecks in the prediction of parameters such as transverse elastic modulus and shear modulus, and multi-directional composite structures Problems such as complex calculation process, scholar modeling, network division, heavy calculation workload, etc.

Active Publication Date: 2019-01-18
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
View PDF2 Cites 30 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0010] (1) In terms of performance prediction focus, without considering the interaction between fibers, the longitudinal elastic modulus of single-layer carbon fiber composites can be accurately predicted by the composite material lamination theory, but for the transverse elastic modulus and shear There are still bottlenecks in the prediction of parameters such as shear modulus, and the superposition of multi-directional composite structures makes the calculation process too complicated, making it more difficult to predict the overall macroscopic mechanical properties
[0011] (2) In terms of performance prediction, most of them focus on the prediction of elastic modulus of composite materials, but rarely mention the shear modulus; in terms of finite element method modeling to predict material properties, every scholar There are great innovations in modeling methods and numerical calculations. However, most scholars have a large workload in modeling, subnetting, and calculations. Some scholars simplify the actual structure of composite materials, so that the prediction results are consistent with actual experiments. It is not accurate enough, and at the same time, in order to ensure the accuracy, some scholars conduct modeling according to the actual structure of composite materials, which is difficult to be popularized in engineering applications;
[0012] (3) In terms of performance prediction analysis, the research focus of most scholars mainly considers the influence of fiber volume content and fiber arrangement form on its overall performance, and all of them accurately predict the mechanical properties of materials, but they do not analyze composite materials. The relationship between the mechanical properties of the structure and the change of structural parameters, and the optimal configuration is obtained. The main reason is that every time the parameters are updated, it needs to go through complex processes such as remodeling, subnetting, and recalculation.
[0018] (1) The existing performance prediction methods of composite materials are too time-consuming, the calculation efficiency is not high, and the prediction accuracy of the transverse elastic modulus and shear modulus is not high. Using the mechanical properties of carbon fiber reinforced composite materials based on cross-scale simulation The prediction method can significantly improve the accuracy and calculation efficiency

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
  • Carbon fiber reinforced composite material mechanical performance prediction method based on cross-scale simulation
  • Carbon fiber reinforced composite material mechanical performance prediction method based on cross-scale simulation
  • Carbon fiber reinforced composite material mechanical performance prediction method based on cross-scale simulation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0093] Performance Prediction of Unidirectional Composite Laminates

[0094] 1.1 Representative Volume Element (RVE)

[0095] Unidirectional carbon fiber reinforced composite materials are mainly composed of fibers, matrix and interface. In order to realize the modeling and solution of materials, it is necessary to idealize the composite materials at the structural level. Assuming that the composite material is intact, the fiber and the matrix are perfectly combined, and the voids and initial microcracks generated during the preparation are ignored. The fiber is a transversely isotropic material, and the matrix is ​​an isotropic material. Due to the randomness of the fiber arrangement in the actual structure, as shown in 4(a), in the modeling process, the fiber arrangement is generally simplified to a uniform distribution ( Figure 4 (b)) and staggered distribution ( Figure 4 (c)), since the staggered arrangement form is closer to the random distribution of fibers, square a...

Embodiment 2

[0123] 2.1 Prediction of mechanical properties of multi-directional composite materials

[0124] Since the preparation process of the multi-angle composite laminate is to lay the single-layer prepreg according to a certain angle, under the action of high temperature and high pressure, each layer of prepreg is bonded, and it becomes a whole by cooling and solidification. Structural components, and the interlacing between the fibers of each layer of prepreg keeps it in its original state under heating, cooling, and solidification (regardless of the fracture during fiber preparation), and there is no mutual embedding between the fiber bundles , therefore, the multi-angle laminate unit cells are modeled in a uniform arrangement. In the single-layer fiber bundle unit cell model, the staggered arrangement of fiber bundles is considered in order to be closer to the random distribution of fibers. The unit cell model adopts a rectangular structure. The interlacing effect of the impreg...

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
elastic modulusaaaaaaaaaa
Poisson's ratioaaaaaaaaaa
Login to View More

Abstract

The invention belongs to the technical field of composite material prediction, and discloses a carbon fiber reinforced composite material mechanical performance prediction method based on cross-scalesimulation. The prediction method comprises the following steps: adopting a meso-finite element method, establishing a single cell prediction model of a meso-level carbon fiber composite material andpredicting the mechanical performance of the carbon fiber reinforced composite material; Based on the stiffness homogeneity method, predicting the off-axis angle and multi-angle lamination sequence and verifying the models by experiments. The invention provides a method for predicting the mechanical properties of the composite material, and the experimental results are consistent with the theoretical model.

Description

technical field [0001] The invention belongs to the technical field of performance prediction of composite materials, in particular to a method for predicting the mechanical properties of carbon fiber reinforced composite materials based on cross-scale simulation. Background technique [0002] At present, the existing technologies commonly used in the industry are as follows: [0003] Carbon fiber composites are widely used in aviation, aerospace and various advanced structures because of their light weight, high strength, high modulus, strong designability, good fatigue performance, corrosion resistance and many other excellent properties. The mechanical properties of composite materials are one of the key indicators in the entire service cycle, such as the design of the laminated structure of the material, the measurement of tool quality, the optimization of process parameters, and the evaluation of service life. The macroscopic mechanical properties of carbon fiber compo...

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 Applications(China)
IPC IPC(8): G06F17/50
CPCG06F30/23Y02T90/00
Inventor 齐振超刘勇王星星陈文亮孟庆禄
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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