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

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

Research output: Chapter in Book/Report/Conference proceedingChapterResearchpeer-review

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.

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

Fingerprint

Machine components
Microwaves
Imaging techniques
Lasers
Monitoring
Sensors
Defects
Data acquisition
Microwave antennas
Microwave sensors
Motion control
Metals
Imaging systems
User interfaces
Masks
Synchronization
Signal processing
Cracks
Scanning
Fatigue cracks

Keywords

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

Cite this

Giri, P., Kharkovsky, S., Samali, B., & Salama, R. (2019). Real-time monitoring of fatigue cracks in machine parts using microwave and laser imaging techniques. In R. C. Yang, Y. Takeda, C. Zhang, & G. Fang (Eds.), Robotics and mechatronics: proceedings of the fifth IFToMM International Symposium on Robotics & Mechatronics (ISRM 2017) (pp. 199-207). (Mechanisms and Machine Science; Vol. 72). Cham, Switzerland: Springer, Springer Nature. https://doi.org/10.1007/978-3-030-17677-8_16
Giri, P. ; Kharkovsky, S. ; Samali, B. ; Salama, R. / Real-time monitoring of fatigue cracks in machine parts using microwave and laser imaging techniques. Robotics and mechatronics: proceedings of the fifth IFToMM International Symposium on Robotics & Mechatronics (ISRM 2017). editor / Richard (Chunhai) Yang ; Yukio Takeda ; Chunwei Zhang ; Gu Fang. Cham, Switzerland : Springer, Springer Nature, 2019. pp. 199-207 (Mechanisms and Machine Science).
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Giri, P, Kharkovsky, S, Samali, B & Salama, R 2019, Real-time monitoring of fatigue cracks in machine parts using microwave and laser imaging techniques. in RC Yang, Y Takeda, C Zhang & G Fang (eds), Robotics and mechatronics: proceedings of the fifth IFToMM International Symposium on Robotics & Mechatronics (ISRM 2017). Mechanisms and Machine Science, vol. 72, Springer, Springer Nature, Cham, Switzerland, pp. 199-207. https://doi.org/10.1007/978-3-030-17677-8_16

Real-time monitoring of fatigue cracks in machine parts using microwave and laser imaging techniques. / Giri, P.; Kharkovsky, S.; Samali, B.; Salama, R.

Robotics and mechatronics: proceedings of the fifth IFToMM International Symposium on Robotics & Mechatronics (ISRM 2017). ed. / Richard (Chunhai) Yang; Yukio Takeda; Chunwei Zhang; Gu Fang. Cham, Switzerland : Springer, Springer Nature, 2019. p. 199-207 (Mechanisms and Machine Science; Vol. 72).

Research output: Chapter in Book/Report/Conference proceedingChapterResearchpeer-review

TY - CHAP

T1 - Real-time monitoring of fatigue cracks in machine parts using microwave and laser imaging techniques

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AU - Kharkovsky, S.

AU - Samali, B.

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N2 - 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.

AB - 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.

KW - Fatigue cracks

KW - Laser displacement sensors

KW - Microwave imaging

KW - Nondestructive testing

KW - Structural health monitoring

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SP - 199

EP - 207

BT - Robotics and mechatronics

A2 - Yang, Richard (Chunhai)

A2 - Takeda, Yukio

A2 - Zhang, Chunwei

A2 - Fang, Gu

PB - Springer, Springer Nature

CY - Cham, Switzerland

ER -

Giri P, Kharkovsky S, Samali B, Salama R. Real-time monitoring of fatigue cracks in machine parts using microwave and laser imaging techniques. In Yang RC, Takeda Y, Zhang C, Fang G, editors, Robotics and mechatronics: proceedings of the fifth IFToMM International Symposium on Robotics & Mechatronics (ISRM 2017). Cham, Switzerland: Springer, Springer Nature. 2019. p. 199-207. (Mechanisms and Machine Science). https://doi.org/10.1007/978-3-030-17677-8_16