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A Study on Reliability of Rotors Using XLrotor

In: Advances in RAMS Engineering

Author

Listed:
  • H. N. Suresh

    (Dayananda Sagar College of Engineering)

  • N. Madhusudan

    (Diagnostic Engineers)

  • D. Saravana Bhavan

    (Dayananda Sagar University)

  • S. B. Murgayya

    (Dayananda Sagar College of Engineering)

Abstract

The work is focused on computation of rotating machines in XLrotor in order to predict the failure due to disk offset and to check reliability. Reliability of rotary machines is not dependent on static design stress but also dynamic forces generated during operating speeds. These rotating machines are subjected to various forces such as misalignment, bend shaft, looseness, imbalance and so on. Though all influencing parameters are diagnosed, still the problems in rotating machines are faced when operated on site (Ambience condition etc.). These problems are severe and cause failure in system within no time. The on-site technological tool helps the plant to know the health of rotating machine, but to avoid resonance and shifting/bypassing critical speeds the simulation tool XLrotor is benefited compared to FEM. To check reliability of rotating machines, the XLrotor computational tool is considered optimum in incorporating the effect of mass, stiffness, inertia and imbalance effectively. The simulation based methodology is used for modeling and analysis for the simple and complex rotors. The analysis in XLrotor due to disk offset on system model shows the vibration level (failure) of rotor and load acting on bearing due to imbalance. The vibration results determine the impact of disk offset on rotor model and its performance.

Suggested Citation

  • H. N. Suresh & N. Madhusudan & D. Saravana Bhavan & S. B. Murgayya, 2020. "A Study on Reliability of Rotors Using XLrotor," Springer Series in Reliability Engineering, in: Durga Rao Karanki & Gopika Vinod & Srividya Ajit (ed.), Advances in RAMS Engineering, pages 199-216, Springer.
    • Handle: RePEc:spr:ssrchp:978-3-030-36518-9_8
    DOI: 10.1007/978-3-030-36518-9_8
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