TY - JOUR
T1 - Numerical optimization of surface texture for hydrophobic textured slider bearing
AU - Tauviqirrahman, Mohammad
AU - Prahasto, Toni
AU - Assaidiky, Mohamad Lutfi
AU - Muchammad, null
N1 - Funding Information:
This research was financially supported by The Faculty of Engineering, Diponegoro University, Indonesia, through Strategic Research Grant 2019.
Publisher Copyright:
© 2020 PENERBIT AKADEMIA BARU.
PY - 2020/7/1
Y1 - 2020/7/1
N2 - To reduce a significant energy waste in industry due to the friction and wear in mechanical components, there is an increasing demand for durable thrust bearing under extreme operational conditions. Surface texturing, combined with the application of hydrophobic material, has been proven to be an effective and economical means to enhance the tribological lubrication performance of sliding surfaces. Therefore, in the present work, an exact optimization method is presented to optimize the surface texture in terms of the texture depth for enhancing the load-carrying capacity. Furthermore, the texture shapes, including ellipse and triangle, are investigated under different arrangements of hydrophobic materials. The lubrication characteristics are established by solving the modified Reynolds equation with means of finite volume method. For modeling the hydrophobic behavior, the critical shear stress model is employed to assure more real boundary conditions of bearing. The simulation results show that for any type of groove shape, the highest load-carrying capacity can be achieved under unique hydrophobic placement. The main interesting finding is the fact that the optimal texture with the groove shape of ellipse shows a better impact on the performance of slider bearing irrespective of the hydrophobic placements.
AB - To reduce a significant energy waste in industry due to the friction and wear in mechanical components, there is an increasing demand for durable thrust bearing under extreme operational conditions. Surface texturing, combined with the application of hydrophobic material, has been proven to be an effective and economical means to enhance the tribological lubrication performance of sliding surfaces. Therefore, in the present work, an exact optimization method is presented to optimize the surface texture in terms of the texture depth for enhancing the load-carrying capacity. Furthermore, the texture shapes, including ellipse and triangle, are investigated under different arrangements of hydrophobic materials. The lubrication characteristics are established by solving the modified Reynolds equation with means of finite volume method. For modeling the hydrophobic behavior, the critical shear stress model is employed to assure more real boundary conditions of bearing. The simulation results show that for any type of groove shape, the highest load-carrying capacity can be achieved under unique hydrophobic placement. The main interesting finding is the fact that the optimal texture with the groove shape of ellipse shows a better impact on the performance of slider bearing irrespective of the hydrophobic placements.
KW - Hydrophobic
KW - Optimization
KW - Slider bearing
KW - Texturing
UR - https://www.scopus.com/pages/publications/85087723315
U2 - 10.37934/arfmts.71.2.160169
DO - 10.37934/arfmts.71.2.160169
M3 - Article
AN - SCOPUS:85087723315
SN - 2289-7879
VL - 71
SP - 160
EP - 169
JO - Journal of Advanced Research in Fluid Mechanics and Thermal Sciences
JF - Journal of Advanced Research in Fluid Mechanics and Thermal Sciences
IS - 2
ER -