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Computational Fluid Mechanics Model for Numerical Investigation of Frictional Tribo-pair during Mixed Lubrication

Ghumman, Iss (författare)
Dept. of Mech. Engineering, HITEC University, Taxila Cantt, Pakistan
Ahmed, Muhammad Waqas (författare)
Dept. of Mech. Engineering, CUI-Wah Campus, Wah Cantt, Pakistan
Usman, Ali (författare)
Luleå tekniska universitet,EISLAB
visa fler...
Afaq, S Kamran (författare)
Dept. of Mech. Engineering, HITEC University, Taxila Cantt, Pakistan
Umer, Muhammad (författare)
Dept. of Mech. Engineering, CUI-Wah Campus, Wah Cantt, Pakistan
Ahmad, Arslan (författare)
Dept. of Mech. Engineering, CUI-Wah Campus, Wah Cantt, Pakistan
Liwicki, Marcus (författare)
Luleå tekniska universitet,EISLAB
Almqvist, Andreas (författare)
Luleå tekniska universitet,Maskinelement
visa färre...
Dept of Mech. Engineering, HITEC University, Taxila Cantt, Pakistan Dept. of Mech. Engineering, CUI-Wah Campus, Wah Cantt, Pakistan (creator_code:org_t)
Institute of Electrical and Electronics Engineers Inc. 2022
2022
Engelska.
Ingår i: Proceedings of 2022 19th International Bhurban Conference on Applied Sciences and Technology, IBCAST 2022. - : Institute of Electrical and Electronics Engineers Inc.. - 9781665460514 ; , s. 815-820
  • Konferensbidrag (refereegranskat)
Abstract Ämnesord
Stäng  
  • All the machines are constructed through mechanical links and pairs. One of the crucial pairs is the sliding pair; due to their nature and general use, they are often subjected to a higher degree of dynamics and external forces leading to high frictional force. To reduce wear from friction formerly thick film of commercial oil is used. However, viscosity-based higher thickness yields higher energy losses, and nano-lubricants are popular in reducing friction while keeping film thickness and improving wear resistance. This paper develops a numerical model for sliding pairs that predicts the load carried by components under different lubrication regimes. The aim is to simulate hydrodynamic and mixed lubrication regimes for different loading conditions. A detailed multiphysics model of tribo-pair was modeled, including lubricant rheology, surface topology, oil film squeeze, and film temperature through the moving mesh. The fluid domain has been meshed with Arbitrary Lagrangian and Eulerian techniques. Energy loss due to viscous friction and boundary friction were determined by solving Naiver- Stokes equations in the moving mesh deformable geometry domain. The numerical model was compared with the available literature, and the results are presented. This numerical simulation remained valid and provides the fundamental understanding of oil film thickness and load-carrying capacity of sliding tribo-pair in the presence of nano-lubricants. The developed model is a useful methodology for studying lubricant oil enriched with nanoparticles.

Ämnesord

TEKNIK OCH TEKNOLOGIER  -- Maskinteknik -- Tribologi (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Mechanical Engineering -- Tribology (hsv//eng)

Nyckelord

friction
mixed elastohydrodynamic lubrication
multiphysics
nanofluids
tribology
Maskininlärning
Machine Learning
Machine Elements
Maskinelement

Publikations- och innehållstyp

ref (ämneskategori)
kon (ämneskategori)

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