Publication
Title
Optimized robotic setup for automated active thermography using advanced path planning and visibility study
Author
Abstract
In-line inspection of advanced components remains a challenging task in industry. The authors will describe an automated methodology that uses numerical simulations to automatically determine the best set of experimental parameters to inspect the structure on defects using active thermography. The inspection is performed using a robotic arm and advanced path-planning tools to determine the optimal positions of the measurement points and excitation points. During the path planning, the directional emissivity is considered for the complex surface, and a minimization of the amount of measurement points is performed. The numerical simulation optimization used a genetic algorithm and spline regression model to optimize the heat power, robot speed, camera frame rate, and excitation timing to fulfill the automatic inspection. (C) 2018 Optical Society of America
Language
English
Source (journal)
Applied optics. - Washington
Publication
Washington : OSA , 2018
ISSN
1559-128X
2155-3165
Volume/pages
57 :18 (2018) , p. D123-D129
ISI
000435841800018
Full text (Publisher's DOI)
Full text (open access)
UAntwerpen
Faculty/Department
Research group
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identification
Creation 10.07.2018
Last edited 20.09.2021
To cite this reference