Research progress on characterization and evaluation of refractory damage behavior based on machine vision/hearing
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.
refractorydigital image correlation(DIC)acoustic emission(AE)machine vision/hearingdamage behaviorcharacterization and evaluation
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