Advanced Surface Defect Monitoring System Utilizing Distributed Crack Sensor Technology

Asit Shukla; Asim karmakar

Asit Shukla Department of Electronics and Communication Vignan’s Foundation for Science Technology and Research, Guntur, Andhra Pradesh, India.
Asim karmakar Department of Electronics and Communication Vignan’s Foundation for Science Technology and Research, Guntur, Andhra Pradesh, India.

Abstract

In this article, we provide a technique for keeping an eye on surface flaws like fractures in heavily loaded buildings. This technique is based on the potential of surface cracks to enlarge in response to external loads, leading to the formation of strains and tears in the sensitive component—thin films that were deposited on the test object's surface. The functional scheme of the sensor and its design, the structural scheme and algorithm of the system operation, and its model as a VHDL (VHSIC (Very High Speed Integrated Circuits) Hardware Description Language)-description were all used in the development of a system for monitoring surface defects.

References

1. Steblev, Y.I.; Susarev, S.V.; Bykov, D.E. The Principles of Designing Automated Systems for Diagnostic Monitoring of the Engineering Structures of Hazardous Production Objects. Russ. J. Nondestruct. Test. 2015,
51, 3–18. [CrossRef]
2. Rathod, V.R.; Anand, R.S.; Ashok, A. Comparative analysis of NDE techniques with image processing. Nondestruct. Test. Eval. 2012, 27, 305–326. [CrossRef]
3. Turnbull, A. Characterising the early stages of crack development in environment-assisted cracking. Corros.
Eng. Sci. Technol. 2017, 25, 1–8. [CrossRef]
4. Ritter, S.; Horner, D.A.; Bosch, R.W. Corrosion monitoring techniques for detection of crack initiation
under simulated light water reactor conditions. Energy Mater. Mater. Sci. Eng. Energy Syst. 2012, 7, 251–264.
[CrossRef]
5. Robinson, M.J.; Strutt, J.E. On-line monitoring of crack propagation. Metals Technol. 1982, 9, 251–256.
[CrossRef]
6. Bernasconi, A.; Carboni, M.; Comolli, L.; Galeazzi, R.; Gianneo, A.; Kharshiduzzaman, M. Fatigue crack growth monitoring in composite bonded lap joints by a distributed fiber optic sensing system and comparison with ultrasonic testing. J. Adhes. 2016, 92, 739–757. [CrossRef]
7. Muneesh, M.; Annamdas, V.M.G.; Pang, J.L.H.; Asundi, A.; Tjin, S.C. Crack monitoring using multiple smart
materials; fiber-optic sensors & piezo sensors. Int. J. Smart Nano Mater. 2017, 8, 41–55.
8. Fernandes, B.; Gaydecki, P.; Burdekin, F.M. An intelligent sensor system for monitoring fatigue damage in welded steel components. Nondestruct. Test. Eval. 2006, 21, 13–25. [CrossRef]
9. Noethen, M.; Jia, Y.; Meyendorf, N. Simulation of the surface crack detection using inductive heated thermography. Nondestruct. Test. Eval. 2012, 27, 139–149. [CrossRef]
10. Almasi, A. Monitoring methods to identify damaged, cracked and worn rotating machine components. Aust.
J. Mech. Eng. 2012, 10, 185–193. [CrossRef]
11. Isaeva, A.S.; Konoplev, B.G.; Ryndin, E.A. Analysis of a two-dimentional symmetric problem on extension
of a Al-polyimide-Cu layered structure with a model crack. Tech. Phys. Lett. 2015, 41, 599–601. [CrossRef]
12. Kumar, D.; Sharma, R.C. Advances in conductive polymers. Eur. Polym. J. 1998, 34, 1053–1060. [CrossRef]
13. Loh, K.J.; Kim, J.; Lynch, J.P.; Kam, N.W.S.; Kotov, N.A. Multifunctional Layer-by-Layer Carbon Nanotube- Polyelectrolyte Thin Films for Strain and Corrosion Sensing. Smart Mater. Struct. 2007, 16, 429–438.
[CrossRef]
14. Kenneth, J.L.; Tsung-Chin, H.; Jerome, P.L.; Nicholas, A.K. Carbon Nanotube Sensing Skins for Spatial Strain
and Impact Damage Identification. J. Nondestruct. Eval. 2009, 28, 9–25.
15. Zengin, H.; Zhou, W.; Jin, J.; Czerw, R.; Smith, D.W.; Echegoyen, L.; Carroll, D.L.; Foulger, S.H.; Ballato, J. Carbon Nanotube Doped Polyaniline. Adv. Mater. 2002, 14, 1480–1483. [CrossRef]
16. Ryndin, E.A.; Isaeva, A.S. Distributed Crack Sensor, a way to register their occurrence and determine
the localization. Patent of the Russian Federation for Invention No. 2520948, 24 April 2014.