Skip to main content
SpringerLink
Log in
Book cover

International Conference on Swarm, Evolutionary, and Memetic Computing

SEMCCO 2014: Swarm, Evolutionary, and Memetic Computing pp 156–163Cite as

Optimum Design of Rolling Element Bearing

  • Conference paper
  • First Online:

  • 1683 Accesses

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8947))

Abstract

The primary objective of this research is to optimize the dynamic load capacity of a deep groove ball bearing. The dynamic load capacity is formulated as an objective function along with the prescribed geometric, kinematics and strength constraints. The non-linear constrained optimization problem is solved using particles swarm optimization (PSO). The algorithm incorporates the generalized method to handle mixed integer design variables and ranked based method of constraint handling. Encouraging results in terms of objective function value and CPU time are reported in this study. The optimum design result shows that the system life of an optimally designed roller element bearing is enhanced in comparisons with that of the current design without constraint violations. It is believed that the proposed algorithm can be applied to other roller element design applications.

This is a preview of subscription content, log in via an institution.

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Asimow, M.: Introduction to Engineering Design. McGraw-Hill, New York (1966)

    Google Scholar 

  2. Changsen, W.: Analysis of Rolling Element Bearings. Mechanical Engineering Publications Ltd., London (1991)

    Google Scholar 

  3. Choi, D.H., Yoon, K.C.: A design method of an automotive wheel bearing unit with discrete design variables using genetic algorithms. Trans. ASME J. Tribol. 123(1), 181–187 (2001)

    Article  MathSciNet  Google Scholar 

  4. Chakraborthy, I., Vinay, K., Nair, S.B., Tiwari, R.: Rolling element bearing design through genetic algorithms. Eng. Optim. 35(6), 649–659 (2003)

    Article  Google Scholar 

  5. Tiwari, R., Rao, B.R.: Optimum design of rolling element bearings using genetic algorithms. Mech. Mach. Theory 42(2), 233–250 (2007)

    Article  MATH  Google Scholar 

  6. Gupta, S., Tiwari, R., Nair, B.S.: Multi-objective design optimization of rolling element bearing using genetic algorithm. Mech. Mach. Theory 42(2), 1418–1443 (2007)

    Article  MATH  Google Scholar 

  7. Kennedy, J., Eberhart R.: Particle swarm optimization. In: Proceedings of the 1995 IEEE International Conference on Neural Networks (ICNN), Perth, Australia, vol. IV, pp.1942--1948. IEEE Service Center, Piscataway (1995)

    Google Scholar 

  8. Kennedy, J., Eberhart R.: The particle swarm: social adaptation in information processing systems. In: Corne, D., Dorigo, M., Glover, F. (eds.) New Ideas in Optimization. McGraw-Hill, London (1999)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Production Engineering, V.S.S. University of Technology, Burla, 768018, Odisha, India

    S. Panda & D. Mishra

  2. Department of Industrial Design, N.I.T., Rourkela, 768024, Odisha, India

    B. B. Biswal

  3. Department of Mechanical Engineering, V.S.S. University of Technology, Burla, 768018, Odisha, India

    T. Mohanty

Authors
  1. S. Panda
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. T. Mohanty
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. D. Mishra
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. B. B. Biswal
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to S. Panda .

Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, IIT, New Delhi, India

    Bijaya Ketan Panigrahi

  2. School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore

    Ponnuthurai Nagaratnam Suganthan

  3. Electronics and Communication Sciences Unit, Indian Statistical Institute, Kolkata, India

    Swagatam Das

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Panda, S., Mohanty, T., Mishra, D., Biswal, B.B. (2015). Optimum Design of Rolling Element Bearing. In: Panigrahi, B., Suganthan, P., Das, S. (eds) Swarm, Evolutionary, and Memetic Computing. SEMCCO 2014. Lecture Notes in Computer Science(), vol 8947. Springer, Cham. https://doi.org/10.1007/978-3-319-20294-5_14

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-20294-5_14

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-20293-8

  • Online ISBN: 978-3-319-20294-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation