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SiC/SiBCN-Si3N4复合材料力学性能研究

王泽璇 胡兆财 刘彬 谭指 解维华

宇航材料工艺2024,Vol.54Issue(2):143-152,10.
宇航材料工艺2024,Vol.54Issue(2):143-152,10.DOI:10.12044/j.issn.1007-2330.2024.02.019

SiC/SiBCN-Si3N4复合材料力学性能研究

Mechanical Properties of SiC/SiBCN-Si3N4 Composite

王泽璇 1胡兆财 2刘彬 2谭指 2解维华1

作者信息

  • 1. 哈尔滨工业大学航天学院,哈尔滨 150001
  • 2. 北京宇航系统工程研究所,北京 100076
  • 折叠

摘要

Abstract

In order to further understand the microstructure and high temperature mechanical behavior of SiC/SiBCN-Si3N4 composite,and establish a scientific and reliable quantitative characterization methodology,this paper uses a variety of characterization methods to quantitatively observe SiC/SiBCN-Si3N4 material.Firstly,the porosity and density of the material are tested.Then the in-situ mechanical properties of the material at high temperatures were tested and the damage mechanism of the material was analyzed.Finally,an interpretable deep learning model was constructed based on the test data to realize the prediction of the nonlinear constitutive relationship of the material at high temperature.The results show that the average stress prediction error ranges from 0.27%to 0.59%,and the average strain prediction error ranges from 1.96%to 3.41%.Through quantitative analysis,it is also clear that the factors successively affecting the mechanical properties are temperature,off-axis Angle,porosity and density.In this paper,the macroscopic mechanical properties of SiC/SiBCN-Si3N4 under different ambient temperature,off-axis angles and external loads are predicted,which provides a new idea for the establishment of high temperature constitutive model of ceramic matrix composites.

关键词

SiC/SiBCN-Si3N4复合材料/结构特征观测/力学性能/深度学习

Key words

SiC/SiBCN-Si3N4 composite/Observation of structural features/Mechanical properties/Deep learning

分类

通用工业技术

引用本文复制引用

王泽璇,胡兆财,刘彬,谭指,解维华..SiC/SiBCN-Si3N4复合材料力学性能研究[J].宇航材料工艺,2024,54(2):143-152,10.

基金项目

国家自然科学基金项目(12090034、12172108) (12090034、12172108)

中国博后面上项目(2022M710035) (2022M710035)

黑龙江省博后面上项目(LBH-Z22112) (LBH-Z22112)

宇航材料工艺

OA北大核心CSTPCD

1007-2330

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