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6th International Conference on Advancements of Medicine and Health Care through Technology; 17–20 October 2018, Cluj-Napoca, Romania pp 241–245Cite as

A New Proposal for Solving Equations of Angular Contact Ball Bearing Using Evolutionary Techniques

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Part of the book series: IFMBE Proceedings ((IFMBE,volume 71))

Abstract

Heat generation in angular contact bearings, dynamic analysis and optimization of high speed spindle bearings require to know the load-displacement values in for bearing components. The equations that describe the relationship among preload, speed, and contact angle are solved usually using iterative methods. A new method that uses genetic algorithms is proposed to solve the algebraic system with multiple dependencies with a good precision in evaluation of angular contact angle.

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Conflict of Interest

The authors declare that they have no conflict of interest.

Author information

Authors and Affiliations

  1. Polytechnic University of Bucharest, Splaiul Independentei 313, Bucharest, Romania

    A. Gheorghita & G. Constantin

  2. Grigore T. Popa University of Medicine and Pharmacy Iasi, Universitatii Street, No. 16, Iasi, Romania

    M. Turnea, M. Ilea, M. Rotariu & D. Arotaritei

Authors
  1. A. Gheorghita
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  2. M. Turnea
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  3. M. Ilea
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  4. M. Rotariu
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  5. G. Constantin
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  6. D. Arotaritei
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Corresponding author

Correspondence to A. Gheorghita .

Editor information

Editors and Affiliations

  1. Faculty of Electrical Engineering, Technical University of Cluj-Napoca, Cluj-Napoca, Romania

    Simona Vlad

  2. Faculty of Electrical Engineering, Technical University of Cluj-Napoca, Cluj-Napoca, Romania

    Nicolae Marius Roman

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Gheorghita, A., Turnea, M., Ilea, M., Rotariu, M., Constantin, G., Arotaritei, D. (2019). A New Proposal for Solving Equations of Angular Contact Ball Bearing Using Evolutionary Techniques. In: Vlad, S., Roman, N. (eds) 6th International Conference on Advancements of Medicine and Health Care through Technology; 17–20 October 2018, Cluj-Napoca, Romania. IFMBE Proceedings, vol 71. Springer, Singapore. https://doi.org/10.1007/978-981-13-6207-1_37

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  • DOI: https://doi.org/10.1007/978-981-13-6207-1_37

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-6206-4

  • Online ISBN: 978-981-13-6207-1

  • eBook Packages: EngineeringEngineering (R0)

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