Real-time monitoring of fatigue cracks in machine parts using microwave and laser imaging techniques

P. Giri*, S. Kharkovsky, B. Samali, R. Salama

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Citation (Scopus)

Abstract

This paper presents a multifunctional imaging system with a sensing unit including integrated microwave and laser sensors. It focuses on the development of software and algorithm for automated control of the movement of the sensing unit attached to the 3-axis scanning system and optimization of the standoff distance between the sensing unit and the material under test. The sensing unit consists of a microwave antenna/sensor and two laser displacement sensors. Microwave sensor is used for data acquisition and imaging of the surface and hidden flaws in the metal. Laser displacement sensors are used for obtaining profile information of the structure and an automatic adjustment of the sensing unit at optimized standoff distance. The optimization of standoff distance is important mainly in non-plain machine parts as their non-planarity might mask indications of minute flaws such as cracks. For this purpose, a combined software program is developed for data acquisition, motion control and synchronization in the LabVIEW platform. Further, the developed program includes a signal processing module for post-processing of signals and image smoothing. All these modules are synchronized using various functions with a trigger. A suitable user-friendly graphic user interface is also developed. The applicability of the system is demonstrated through a non-contact detection of hidden flaws in metals used in machine parts.

Original languageEnglish
Title of host publicationRobotics and mechatronics
Subtitle of host publicationproceedings of the fifth IFToMM International Symposium on Robotics & Mechatronics (ISRM 2017)
EditorsRichard (Chunhai) Yang, Yukio Takeda, Chunwei Zhang, Gu Fang
Place of PublicationCham, Switzerland
PublisherSpringer, Springer Nature
Pages199-207
Number of pages9
ISBN (Electronic)9783030176778
ISBN (Print)9783030176761
DOIs
Publication statusPublished - 2 Jul 2019
Externally publishedYes

Publication series

NameMechanisms and Machine Science
Volume72
ISSN (Print)2211-0984
ISSN (Electronic)2211-0992

Keywords

  • Fatigue cracks
  • Laser displacement sensors
  • Microwave imaging
  • Nondestructive testing
  • Structural health monitoring

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