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Optimum Design of Rolling Element Bearing

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Swarm, Evolutionary, and Memetic Computing (SEMCCO 2014)

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

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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.

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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
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  2. T. Mohanty
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  3. D. Mishra
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  4. B. B. Biswal
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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

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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

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

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-20293-8

  • Online ISBN: 978-3-319-20294-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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