Methodology for the Generation of High-Quality Ultrasonic Images of Complex Geometry Pieces Using Industrial Robots

Author:

Aparicio Secanellas Sofía1ORCID,Gauna León Iñaki2,Parrilla Montserrat1ORCID,Acebes Montserrat2,Ibáñez Alberto1ORCID,de Matías Jiménez Héctor2,Martínez-Graullera Óscar1ORCID,Álvarez de Pablos Alberto2,González Hernández Margarita1ORCID,Anaya Velayos José Javier1

Affiliation:

1. Institute for Physical and Information Technologies “Leonardo Torres Quevedo”, ITEFI, Spanish National Research Council (CSIC), 28006 Madrid, Spain

2. Tecnitest Ingenieros SL, 28021 Madrid, Spain

Abstract

Industrial robotic arms integrated with server computers, sensors and actuators have revolutionized the way automated non-destructive testing is performed in the aeronautical sector. Currently, there are commercial, industrial robots that have the precision, speed and repetitiveness in their movements that make them suitable for use in numerous non-destructive testing inspections. Automatic ultrasonic inspection of complex geometry parts remains one of the most difficult challenges in the market. The closed configuration, i.e., restricted access to internal motion parameters, of these robotic arms makes it difficult for an adequate synchronism between the movement of the robot and the acquisition of the data. This is a serious problem in the inspection of aerospace components, where high-quality images are necessary to assess the condition of the inspected component. In this paper, we applied a methodology recently patented for the generation of high-quality ultrasonic images of complex geometry pieces using industrial robots. The methodology is based on the calculation of a synchronism map after a calibration experiment and to introduce this corrected map in an autonomous, independent external system developed by the authors to obtain precise ultrasonic images. Therefore, it has been shown that it is possible to establish the synchronization of any industrial robot with any ultrasonic imaging generation system to generate high-quality ultrasonic images.

Funder

FEDER/Ministerio de Ciencia e Innovación– Agencia Estatal de Investigación

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Reference16 articles.

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