Influence and Compensation of Temperature Effects for Damage Detection and Localization in Aerospace Composites.

Guillermo Azuara,Eduardo Barrera

doi:10.3390/s20154153

Abstract

Structural Health Monitoring (SHM) of Carbon Fiber Reinforced Polymers (CFRP) has become, recently, in a promising methodology for the field of Non-Destructive Inspection (NDI), specially based on Ultrasonic Guided Waves (UGW), particularly Lamb waves using Piezoelectric Transducers (PZT). However, the Environmental and Operational Conditions (EOC) perform an important role on the physical characteristics of the waves, mainly the temperature. Some of these effects are phase shifting, amplitude changes and time of flight (ToF) variations. In this paper, a compensation method for evaluating and compensating the effects of the temperature is carried out, performing a data-driven methodology to calculate the features from a dataset of typical temperature values obtained from a thermoset matrix pristine plate, with a transducer network attached. In addition, the methodology is tested on the same sample after an impact damage is carried out on it, using RAPID (Reconstruction Algorithm for Probabilistic Inspection of Damage) and its geometrical variant (RAPID-G) to calculate the location of the damage.

Highlights

Non-Destructive Inspection (NDI) is one of the most important disciplines within structural engineering [1], enabling the detection of damage to structures prior to a mechanical failure [2,3].inspection time, operator subjectivity and cost are factors that make NDI only effective to scheduled maintenance
The selected were selected from the main directions of the laminate, and the available diagonal paths were selected from the main directions of the laminate
This work deals with the reconstruction of Lamb wave signals, recorded at a temperature at which there is no baseline available, using a temperature at which there is pristine data available, and which there is no baseline available, using a temperature at which there is pristine data available, and its effectiveness on applying it to damage detection and location using an imaging algorithm

Summary

Introduction

Non-Destructive Inspection (NDI) is one of the most important disciplines within structural engineering [1], enabling the detection of damage to structures prior to a mechanical failure [2,3].inspection time, operator subjectivity and cost are factors that make NDI only effective to scheduled maintenance. Non-Destructive Inspection (NDI) is one of the most important disciplines within structural engineering [1], enabling the detection of damage to structures prior to a mechanical failure [2,3]. Recent advances in signal processing techniques [6] and technology [7] give this field a promising future. One of the most important applications of SHM is, in addition to monitoring civil structures [8,9], rotating machinery [10,11] and the terrestrial transportation industry [12,13], the aeronautical industry [14,15]. The manufacture of aircraft parts with Carbon Fiber Reinforced Polymer (CFRP)

Methods

Results

Conclusion