CFD analysis of texture depth effect on the performance of hydrodynamic lubricated bearing

M. Muchammad; F. Hilmy; M. Tauviqirrahman; J. Jamari; D. J. Schipper

doi:10.1088/1742-6596/1090/1/012067

CFD analysis of texture depth effect on the performance of hydrodynamic lubricated bearing

M. Muchammad^* (Corresponding Author), F. Hilmy, M. Tauviqirrahman, J. Jamari, D. J. Schipper

^*Corresponding author for this work

Research output: Contribution to journal › Conference article › Academic › peer-review

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Abstract

Surface modification of the lubricated bearing such texturing has proven to improve the hydrodynamic performance. The present paper examined the effect of texture depth as well as the texture length on the tribological performance using computational fluid dynamic (CFD) approach. The cavitation model was also considered to obtain more realistic characteristic of bearing. It was shown that by increasing texture depth of the surface of bearing, the enhanced hydrodynamic pressure was achieved. Moreover, other interesting result is that the length of cavitation region decreases with the increase in texture depth and the decrease in texture length.

Original language	English
Article number	012067
Journal	Journal of physics: Conference series
Volume	1090
Issue number	1
DOIs	https://doi.org/10.1088/1742-6596/1090/1/012067
Publication status	Published - 28 Sep 2018
Event	International Conference on Computation in Science and Engineering, ICCSE 2017 - Bandung, Indonesia Duration: 10 Jul 2017 → 12 Jul 2017

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10.1088/1742-6596/1090/1/012067Licence: CC BY

Muchammad_2018_J._Phys.__Conf._Ser._1090_012067Final published version, 1.17 MBLicence: CC BY

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title = "CFD analysis of texture depth effect on the performance of hydrodynamic lubricated bearing",

abstract = "Surface modification of the lubricated bearing such texturing has proven to improve the hydrodynamic performance. The present paper examined the effect of texture depth as well as the texture length on the tribological performance using computational fluid dynamic (CFD) approach. The cavitation model was also considered to obtain more realistic characteristic of bearing. It was shown that by increasing texture depth of the surface of bearing, the enhanced hydrodynamic pressure was achieved. Moreover, other interesting result is that the length of cavitation region decreases with the increase in texture depth and the decrease in texture length.",

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AU - Muchammad, M.

AU - Hilmy, F.

AU - Tauviqirrahman, M.

AU - Jamari, J.

AU - Schipper, D. J.

PY - 2018/9/28

Y1 - 2018/9/28

N2 - Surface modification of the lubricated bearing such texturing has proven to improve the hydrodynamic performance. The present paper examined the effect of texture depth as well as the texture length on the tribological performance using computational fluid dynamic (CFD) approach. The cavitation model was also considered to obtain more realistic characteristic of bearing. It was shown that by increasing texture depth of the surface of bearing, the enhanced hydrodynamic pressure was achieved. Moreover, other interesting result is that the length of cavitation region decreases with the increase in texture depth and the decrease in texture length.

AB - Surface modification of the lubricated bearing such texturing has proven to improve the hydrodynamic performance. The present paper examined the effect of texture depth as well as the texture length on the tribological performance using computational fluid dynamic (CFD) approach. The cavitation model was also considered to obtain more realistic characteristic of bearing. It was shown that by increasing texture depth of the surface of bearing, the enhanced hydrodynamic pressure was achieved. Moreover, other interesting result is that the length of cavitation region decreases with the increase in texture depth and the decrease in texture length.

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DO - 10.1088/1742-6596/1090/1/012067

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VL - 1090

JO - Journal of physics: Conference series

JF - Journal of physics: Conference series

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T2 - International Conference on Computation in Science and Engineering, ICCSE 2017

Y2 - 10 July 2017 through 12 July 2017

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CFD analysis of texture depth effect on the performance of hydrodynamic lubricated bearing

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