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

Rapid prediction method for heat transfer characteristic of periodic structure composite material at high temperature

A periodic structure, composite material technology, applied in special data processing applications, instruments, design optimization/simulation, etc., can solve the problems of rarely considering the radiation transfer process, not analyzing the radiation transfer process, etc., to improve the calculation rate and efficiency. predicted effect

Active Publication Date: 2021-06-11
XI AN JIAOTONG UNIV
View PDF11 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The research on multi-scale heat transfer prediction models has been widely used in the field of heat and mass transfer analysis of composite materials, but most of the prediction models only involve pure heat conduction problems, and seldom consider the radiation transfer process at extreme high temperatures, or radiation is only heat transfer. The internal boundary conditions of the process model do not analyze the radiative transfer process

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
  • Rapid prediction method for heat transfer characteristic of periodic structure composite material at high temperature
  • Rapid prediction method for heat transfer characteristic of periodic structure composite material at high temperature
  • Rapid prediction method for heat transfer characteristic of periodic structure composite material at high temperature

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0049] The implementation of the present invention will be described in detail below in conjunction with the drawings and examples.

[0050] The invention is a rapid prediction method for the heat transfer characteristics of periodic structure composite materials at high temperature, which adopts the homogenization method of multi-scale asymptotic expansion, and decomposes the temperature field of the composite material into the representation of the macroscopic average field and the mesoscopic scale Intra-unit fluctuations are solved separately based on the information transfer mechanism between macro and meso scales, and finally a multi-scale reconstructed temperature field is obtained. The calculation procedure of the heat transfer characteristics of periodic structure composites at high temperature is illustrated by taking the heat insulation material with added particle-reinforced phase as an example.

[0051] Specifically, the physical model of the thermal insulation mat...

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
thermal conductivityaaaaaaaaaa
scattering coefficientaaaaaaaaaa
Login to View More

Abstract

The invention discloses a rapid prediction method for heat conduction-radiation coupling heat transfer characteristics of a periodic structure composite material at a high temperature, and the method comprises the steps: decomposing a to-be-solved temperature field into a macroscopic average field and a mesoscopic temperature fluctuation through a multi-scale progressive analysis method, respectively carrying out the calculation, and finally reconstructing the macroscopic average field and the mesoscopic temperature fluctuation into a complete temperature field. The calculation process comprises the steps of carrying out grid division on a macroscopic prediction model and a characterization unit under a microscopic scale, solving a periodic vector function in the characterization unit under the microscopic scale, calculating macroscopic equivalent physical property parameters, solving a macroscopic scale heat conduction-radiation coupling heat transfer equation, and finally reconstructing a multi-scale temperature field. The multi-scale model established by the method can accurately calculate the temperature field of the periodic structure composite material, and can significantly improve the prediction rate of the high-temperature heat transfer characteristic of the composite material.

Description

technical field [0001] The invention belongs to the technical field of aircraft thermal protection, in particular to a rapid prediction method for the heat transfer characteristics of periodic structural composite materials at high temperatures. Background technique [0002] Thermal protection systems and materials are the key to ensuring the safe service of hypersonic vehicles in extreme flight environments. Especially since the 21st century, the performance requirements of new thermal protection materials in the aerospace field are getting higher and higher. In order to improve the survivability of aircraft, high-efficiency thermal protection systems and thermal protection materials must improve their ability to withstand extreme service environments. Composite materials with periodic structures such as particle reinforcement and fiber reinforcement have become commonly used thermal protection materials for aerospace vehicles. Accurately predicting the heat transfer charac...

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): G06F30/25G06F30/23G06F113/26G06F119/08G06F111/10
CPCG06F30/25G06F30/23G06F2113/26G06F2119/08G06F2111/10
Inventor 童自翔郭靖宇李明佳俞逸斯
Owner XI AN JIAOTONG UNIV
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