Detail publikace

Evolutionary Optimisation of the Thrust Bearing Considering Multiple Operating Conditions in Turbomachinery

NOVOTNÝ, P. VACULA, J. JONÁK, M.

Originální název

Evolutionary Optimisation of the Thrust Bearing Considering Multiple Operating Conditions in Turbomachinery

Typ

článek v časopise ve Web of Science, Jimp

Jazyk

angličtina

Originální abstrakt

Thrust bearings are an essential part of rotating machines, significantly impacting their overall efficiency. The bearings must be designed to have optimal properties under the preferred operating conditions and be able to operate under off-design operating conditions occurring exceptionally. The available literature presents various possibilities for optimising bearing performance, but a method of including various operating conditions has not been introduced. The presented solution uses an optimisation of the thrust bearing that is based on genetic algorithms in combination with an efficient computational model of thrust bearing lubrication and heat transfer. The presented evolutionary optimisation approach makes it possible to design a bearing with exceptional performance under both specific and extreme operating conditions. The optimisation approach is applied in the development of a prototype thrust bearing and bearing friction losses decreased by approximately 30% compared to a serial bearing. At the same time, there is no significant decrease in the bearing ability to operate under off-design operating conditions. The prototype bearing designed using this approach reduced the mechanical losses of the entire turbocharger by approximately 20%.

Klíčová slova

Thrust bearing; multiple operating conditions; hydrodynamic lubrication; genetic algorithms; turbocharger.

Autoři

NOVOTNÝ, P.; VACULA, J.; JONÁK, M.

Vydáno

1. 4. 2021

Nakladatel

Elsevier B.V.

ISSN

0020-7403

Periodikum

INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES

Ročník

195

Číslo

2021

Stát

Spojené království Velké Británie a Severního Irska

Strany od

1

Strany do

13

Strany počet

13

URL

https://www.sciencedirect.com/science/article/pii/S0020740320343459?via%3Dihub

BibTex

@article{BUT167661,
  author="Pavel {Novotný} and Jiří {Vacula} and Martin {Jonák}",
  title="Evolutionary Optimisation of the Thrust Bearing Considering Multiple Operating Conditions in Turbomachinery",
  journal="INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES",
  year="2021",
  volume="195",
  number="2021",
  pages="1--13",
  doi="10.1016/j.ijmecsci.2020.106240",
  issn="0020-7403",
  url="https://www.sciencedirect.com/science/article/pii/S0020740320343459?via%3Dihub"
}