 | | Mechanics of Solids
A Journal of Russian Academy of Sciences | | Founded
in January 1966
Issued 6 times a year
Print ISSN 0025-6544
Online ISSN 1934-7936 |
Archive of Issues
| Total articles in the database: | | 13088 |
| In Russian (Èçâ. ÐÀÍ. ÌÒÒ): | | 8125
|
| In English (Mech. Solids): | | 4963 |
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| Adik Yadao and Kundan Mishra, "Modeling and Identification of Fault in Fixed-Fixed Rotor Submerged in Fluid Environment Based on Hybrid Genetic Algorithm and Clonal Selection Algorithm Approach," Mech. Solids. 60 (1), 524-547 (2025) |
| Year |
2025 |
Volume |
60 |
Number |
1 |
Pages |
524-547 |
| DOI |
10.1134/S002565442460507X |
| Title |
Modeling and Identification of Fault in Fixed-Fixed Rotor Submerged in Fluid Environment Based on Hybrid Genetic Algorithm and Clonal Selection Algorithm Approach |
| Author(s) |
Adik Yadao (G H Raisoni College of Engineering and Management, Pune, 412207 India, adik.mech@gmail.com)
Kundan Mishra (School of Mechanical Engineering, MIT Academy of Engineering, Alandi, Pune, 412105 India, mishrakp18@gmail.com) |
| Abstract |
A rotor transverse crack is a serious flaw that poses a serious risk to the reliable and secure operation of rotating machinery. The rotor cracks will continue to grow if they are not identified and addressed quickly. This could eventually result in a catastrophic accident with a broken shaft and machine failure, resulting in significant financial losses and negative social effects. Especially while the rotor shaft is revolving in a viscous fluid environment, it becomes exceedingly challenging to analyze the size and position of the crack. In the present study, a novel hybridized technique is proposed for early detection of multiple damage in the fixed-fixed rotor shaft rotating under an altered viscous fluid environment. The proposed technique can be employed to investigate the depth and location of cracks in structures in an acceptable amount of time limit. To compute the amplitude and natural frequency of the cracked fixed-fixed type rotor shaft rotating under altered fluid medium utilizing the stiffness matrices of the crack element. An external force of fluid is computed by Navier Stokes equation. In this research, the existence of multi-cracks in the rotor shaft at both transverse directions perpendicular and parallel to crack (i.e. y-axis and x-axis) was considered. The theoretical evaluation was executed using Matlab. To validate the theoretical value of natural frequency and amplitude, perform the experimental analysis. To recognize the depth and location of the transverse crack, a technique hybridized the nature-inspired artificial intelligence techniques were employed with relative natural frequency at x-axis, relative natural frequency at y-axis, relative amplitude of vibration at the x-axis, the relative amplitude at y-axis and viscosity of fluid as input parameter. Genetic algorithm (GA) and clonal selection algorithm (CSA) have been combined to develop the hybridized technique framework. The total average error of the proposed technique compared with experimental and theoretical values is found less than 5%. Therefore the recommended Hybridized CSAGA technique would establish an effective tool for real-time crack detection in the rotor. |
| Keywords |
Fixed-Fixed Rotor shaft, dynamic response, cracks depth, crack location, clonal selection algorithm, genetic algorithm |
| Received |
21 August 2024 | Revised |
09 February 2025 | Accepted |
09 February 2025 |
| Link to Fulltext |
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