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A Multiobjective Ideal Design of Rolling Element Bearing Using Metaheuristics

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Book cover Smart Computing and Informatics

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 77))

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Abstract

Longest fatigue life is one of the most decisive criteria for design of rolling element bearing. However, the lifetime of bearing will depend on more than one numbers of explanations like fatigue, lubrication, thermal traits. Within the present work, two main goals specifically the dynamic load capability and elastohydrodynamic lubrication minimal film thickness have been optimized simultaneously utilizing a multiobjective optimization algorithm centered upon particle swarm optimization. The algorithm accommodates the generalized approach to control combined integer design variables and penalty function strategy of constraint dealing with. The outcomes obtain are encouraging in view of objective function value and computational time. A convergence learns has been applied to make certain the most desirable factor in the design. The most suitable design outcome shows the effectiveness and efficiency of algorithm without constraint violations.

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Authors and Affiliations

  1. Veer Surendra Sai University of Technology, Burla, Odisha, 768018, India

    S. N. Panda, S. Panda & P. Mishra

Authors
  1. S. N. Panda
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  2. S. Panda
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  3. P. Mishra
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Corresponding author

Correspondence to S. N. Panda .

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Editors and Affiliations

  1. Department of Computer Science and Engineering, PVP Siddhartha Institute of Technology, Vijayawada, Andhra Pradesh, India

    Suresh Chandra Satapathy

  2. Department of Electronics and Communication Engineering, Shri Ramswaroop Memorial Group of Professional Colleges, Lucknow, Uttar Pradesh, India

    Vikrant Bhateja

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

    Swagatam Das

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Panda, S.N., Panda, S., Mishra, P. (2018). A Multiobjective Ideal Design of Rolling Element Bearing Using Metaheuristics. In: Satapathy, S., Bhateja, V., Das, S. (eds) Smart Computing and Informatics . Smart Innovation, Systems and Technologies, vol 77. Springer, Singapore. https://doi.org/10.1007/978-981-10-5544-7_3

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  • DOI: https://doi.org/10.1007/978-981-10-5544-7_3

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-5543-0

  • Online ISBN: 978-981-10-5544-7

  • eBook Packages: EngineeringEngineering (R0)

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