基于机器视/听觉的耐火材料蚀损行为表征评价研究进展
Research progress on characterization and evaluation of refractory damage behavior based on machine vision/hearing
刘陈陈 1黄奥 1李昇昊 1陈昕煜 1顾华志1
作者信息
- 1. 武汉科技大学省部共建耐火材料与冶金国家重点试验室,湖北武汉 430081
- 折叠
摘要
耐火材料作为冶金和建材等高温工业中不可替代的关键基础材料,在服役过程中不可避免地遭受到热-化-力耦合条件下的化学侵蚀和力学损伤(简称蚀损),造成高温炉衬损毁并影响产品生产质量.传统手段多采用事后冷态分析评价方法,难以直接对高温复杂环境下耐火材料的损毁过程进行原位观测,同时易缺少诸如热-化-力耦合条件下的过程信息从而导致分析结果产生偏差.综述了机器视/听觉技术在耐火材料蚀损行为表征评价中的应用研究进展,表明利用数字图像相关(Digital Image Correlation,DIC)和声发射(Acoustic Emission,AE)等非接触式技术,通过实时监测耐火材料蚀损的全场应变及声发射信号,能有效表征耐火材料在多因素耦合条件下的材料蚀损演变过程,对准确揭示耐火材料的损毁机制和服役性能评价提供了新途径,旨在为高品质产品熔炼或生产用优质耐火材料开发提供理论支撑.
Abstract
As an essential fundamental material in high-temperature industries such as metallurgy and building materials,refractories inevitably endure chemical corrosion and mechanical fracture(collectively referred to as"damage")under coupled thermal-chemical-mechanical conditions during the period of service,resulting in the deterioration and wear of high-temperature furnace linings and affecting quality of the products.Conducting postmortem testing analysis methods to evaluate damage behavior presents challenges,as direct observation of the in-situ degradation process of refractories within high-temperature and complex environments is not feasible.The paucity of process information,particularly regarding the condition of thermal-chemical-mechanical coupling,can potentially skew the analysis outcomes.The research progress in the application of machine vision/hearing technologies in characterizing and evaluating the damage behavior of refractories was reviewed.It indicates that the application of digital image correlation(DIC)and acoustic emission(AE)techniques,which achieve non-contact real-time monitoring of the full-field strain and acoustic emission signals of refractories,can characterize the degradation evolution process under multi-factor coupling conditions.These techniques provide a novel approach for accurately revealing the damage mechanisms and evaluating the service performance of refractories.This research aims to provide theoretical support for the development of superior refractories for high-quality product smelting and production.
关键词
耐火材料/数字图像相关法/声发射/机器视/听觉/蚀损行为/表征评价Key words
refractory/digital image correlation(DIC)/acoustic emission(AE)/machine vision/hearing/damage behavior/characterization and evaluation引用本文复制引用
基金项目
国家自然科学基金面上资助项目(55272022)
湖北省自然科学基金杰出青年基金资助项目(2021CFA071)
出版年
2024
NETL
NSTL
万方数据