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

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F21%3APU138395" target="_blank" >RIV/00216305:26210/21:PU138395 - isvavai.cz</a>

Result on the web

<a href="https://www.sciencedirect.com/science/article/pii/S0020740320343459?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0020740320343459?via%3Dihub</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.ijmecsci.2020.106240" target="_blank" >10.1016/j.ijmecsci.2020.106240</a>

Result language

angličtina

Original language name

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

Original language description

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%.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

20301 - Mechanical engineering

Project

—

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2021

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES

ISSN

0020-7403

e-ISSN

1879-2162

Volume of the periodical

195

Issue of the periodical within the volume

2021

Country of publishing house

GB - UNITED KINGDOM

Number of pages

13

Pages from-to

1-13

UT code for WoS article

000636790800016

EID of the result in the Scopus database

2-s2.0-85098111539