The Composite Material Thermal Structure Testing And Finite Element Analysis Technology

Beyond traditional defect detection of infrared nondestructive testing for its many advantages are widely used in many fields, When the heat flow in the medium dissemination faced with defect dielectric medium and the thermal conductivity of the tested medium is not the same, Thermal wave will reflection and refraction occur inside the material.Through the infrared thermal imager information extraction from material surface temperature field, through the analysis of the temperature data from materials inside different defect information.ANSYS finite element software can analysis the overall process internal defects, applying defect detection according to the experiment of the parameters set up reasonable ANSYS analysis material parameters, through ANSYS analysis obtained different time location information of the material defect, application ANSYS analysis can reduce the external interference factors in the process of testing optimization experiment process improve the accuracy of defect detection.This paper discusses the basic theory of heat conduction in defect materials testing, laboratory test, numerical analysis theory and ANSYS software analysis process and so on, to establish the mathematical simplify the relationship between temperature and material defects, ANSYS software used to analyze composite defect detection experiments and to Process logarithmic second-order differential peak processing experimental data, through comparative the Finite element analysis of the data and the date of theoretical got relative error, ANSYS can be used for quantitative analysis of composite material defect detection. Behind the article also on the different factors influencing the defect detection on quantitative analysis and in-depth discussion, by using ANSYS analysis can be separated from the outside conditions and external interference factors, through setting up reasonable conditions, the parameters of the ANSYS analysis can improve the precision of defect quantitative analysis to determine, provide theoretical support for the experiment of material defect detection.