A method and apparatus for characterizing defects in large flat composite structures by Line Scan Thermography and neural network techniques; Frattura ed Integrita Strutturale; Vol. 17, iss. 63

A method and apparatus for characterizing defects in large flat composite structures by Line Scan Thermography and neural network techniques; Frattura ed Integrita Strutturale; Vol. 17, iss. 63

Λεπτομέρειες βιβλιογραφικής εγγραφής
Parent link:Frattura ed Integrita Strutturale.— .— Cassino: Gruppo Italiano Frattura
Vol. 17, iss. 63.— 2023.— P. 110-121
Άλλοι συγγραφείς: Chulkov A. O. Arseniy Olegovich, Vavilov V. P. Vladimir Platonovich, Nesteruk D. A. Denis Alekseevich, Burleigh D. Douglas, Moskovchenko A. Alexey
Περίληψη:The principle of Line Scan Thermography (LST) was used to develop a self-propelled infrared thermographic nondestructive testing device for the inspection of large, relatively flat composite aerospace parts, such as aircraft wings. The design of the unit allowed the suppression of noise from reflected radiation. Using the LST method, the new equipment, provided defect detectability similar to that achieved with a classic, static, flash heating procedure, but with a higher inspection rate. Also, the line heating principle ensured more uniform thermal patterns, and the proper choice of scan speed and field of view allows the selection of optimal time delays and the creation of maps of defects at different depths. Defect characterization efficiency was improved by using a trained neural network
Текстовый файл
AM_Agreement
Γλώσσα:Αγγλικά
Έκδοση: 2023
Θέματα:
Infrared Thermography
Line Scan Thermography
Composite Part
Defect Characterization
Neural Network
электронный ресурс
труды учёных ТПУ
Διαθέσιμο Online:https://doi.org/10.3221/IGF-ESIS.63.11
Μορφή: Ηλεκτρονική πηγή Κεφάλαιο βιβλίου
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=685516

Παρόμοια τεκμήρια

Παρόμοια τεκμήρια