Nanofluids for Performance Improvement of Heavy Machinery Journal Bearings: A Simulation Study
Nanofluids have extensive applications in hydrodynamic journal bearings used in heavy industry machinery. Inorganic fullerene-like tungsten disulfide nanoparticles (IF-WS<sub>2</sub> NPs) are the most common additive for lubrication purpose due to their excellent mechanical characteristi...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-10-01
|
| Series: | Nanomaterials |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2079-4991/10/11/2120 |
| _version_ | 1827703532837404672 |
|---|---|
| author | Hamid Sadabadi Amir Sanati Nezhad |
| author_facet | Hamid Sadabadi Amir Sanati Nezhad |
| author_sort | Hamid Sadabadi |
| collection | DOAJ |
| description | Nanofluids have extensive applications in hydrodynamic journal bearings used in heavy industry machinery. Inorganic fullerene-like tungsten disulfide nanoparticles (IF-WS<sub>2</sub> NPs) are the most common additive for lubrication purpose due to their excellent mechanical characteristics along with their effect on reducing friction and wear. In this work, a computational simulation approach with discrete phase modeling (DPM) of suspended nanoparticles was used to evaluate the application of the IF-WS<sub>2</sub> nanofluid lubricant on load carrying capacity of high-load journal bearings where the normal loads are high, considering the bearing dimensions. For accurate simulation, nanofluid viscosity was calculated considering the aggregation effect of NPs by using scanning electron microscopy (SEM) imaging of the nanofluids. A benchmark study was first performed to assess the model accuracy. Hydrodynamic lubrication was simulated under different nanofluid weigh fractions. The simulated pressure distribution was then employed to determine the load capacity of the bearing. The results show an approximately 20% improvement of load carrying capacity at 5% weight fraction of WS<sub>2</sub>-oil nanofluid. |
| first_indexed | 2024-03-10T15:21:20Z |
| format | Article |
| id | doaj.art-148dd12b65c14418a175624610f3fbc1 |
| institution | Directory Open Access Journal |
| issn | 2079-4991 |
| language | English |
| last_indexed | 2024-03-10T15:21:20Z |
| publishDate | 2020-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Nanomaterials |
| spelling | doaj.art-148dd12b65c14418a175624610f3fbc12023-11-20T18:27:40ZengMDPI AGNanomaterials2079-49912020-10-011011212010.3390/nano10112120Nanofluids for Performance Improvement of Heavy Machinery Journal Bearings: A Simulation StudyHamid Sadabadi0Amir Sanati Nezhad1College of Engineering and Technology, American University of the Middle East, KuwaitCenter for Bioengineering Research and Education, BioMEMS and Bioinspired Microfluidic Laboratory, Department of Mechanical and Manufacturing Engineering, University of Calgary, Calgary, AB T2N1N4, CanadaNanofluids have extensive applications in hydrodynamic journal bearings used in heavy industry machinery. Inorganic fullerene-like tungsten disulfide nanoparticles (IF-WS<sub>2</sub> NPs) are the most common additive for lubrication purpose due to their excellent mechanical characteristics along with their effect on reducing friction and wear. In this work, a computational simulation approach with discrete phase modeling (DPM) of suspended nanoparticles was used to evaluate the application of the IF-WS<sub>2</sub> nanofluid lubricant on load carrying capacity of high-load journal bearings where the normal loads are high, considering the bearing dimensions. For accurate simulation, nanofluid viscosity was calculated considering the aggregation effect of NPs by using scanning electron microscopy (SEM) imaging of the nanofluids. A benchmark study was first performed to assess the model accuracy. Hydrodynamic lubrication was simulated under different nanofluid weigh fractions. The simulated pressure distribution was then employed to determine the load capacity of the bearing. The results show an approximately 20% improvement of load carrying capacity at 5% weight fraction of WS<sub>2</sub>-oil nanofluid.https://www.mdpi.com/2079-4991/10/11/2120nanofluid lubricantIF-WS<sub>2</sub> nanoparticleshydrodynamic journal bearingCFD simulationnanoparticle aggregation |
| spellingShingle | Hamid Sadabadi Amir Sanati Nezhad Nanofluids for Performance Improvement of Heavy Machinery Journal Bearings: A Simulation Study Nanomaterials nanofluid lubricant IF-WS<sub>2</sub> nanoparticles hydrodynamic journal bearing CFD simulation nanoparticle aggregation |
| title | Nanofluids for Performance Improvement of Heavy Machinery Journal Bearings: A Simulation Study |
| title_full | Nanofluids for Performance Improvement of Heavy Machinery Journal Bearings: A Simulation Study |
| title_fullStr | Nanofluids for Performance Improvement of Heavy Machinery Journal Bearings: A Simulation Study |
| title_full_unstemmed | Nanofluids for Performance Improvement of Heavy Machinery Journal Bearings: A Simulation Study |
| title_short | Nanofluids for Performance Improvement of Heavy Machinery Journal Bearings: A Simulation Study |
| title_sort | nanofluids for performance improvement of heavy machinery journal bearings a simulation study |
| topic | nanofluid lubricant IF-WS<sub>2</sub> nanoparticles hydrodynamic journal bearing CFD simulation nanoparticle aggregation |
| url | https://www.mdpi.com/2079-4991/10/11/2120 |
| work_keys_str_mv | AT hamidsadabadi nanofluidsforperformanceimprovementofheavymachineryjournalbearingsasimulationstudy AT amirsanatinezhad nanofluidsforperformanceimprovementofheavymachineryjournalbearingsasimulationstudy |