Slider-bearing design with micro-machined wavy-cavity: Parametric Characterization of thermohydrodynamic-operation-scheme
Autor: | A. Alper Ozalp, B. Turker Ozalp |
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Přispěvatelé: | Uludağ Üniversitesi/Mühendislik Mimarlık Fakültesi/Endüstri Mühendisliği Bölümü., Uludağ Üniversitesi/Mühendislik Fakültesi/Makine Mühendisliği Bölümü., Özalp, Besim Türker, Özalp, A. Alper, AAG-9678-2021, ABI-6888-2020 |
Rok vydání: | 2006 |
Předmět: |
Engineering
Work (thermodynamics) Friction Performance Computation Engineering mechanical Mechanical engineering Aerostatic thrust-bearings Journal bearings Traction Slider Wavenumber Boundary value problem Squeeze Films Couple Stress Journal Bearings Parametric statistics Surfacepiston business.industry Mechanical Engineering Mechanics Mechanical system Elastohydrodynamic lubrication Amplitude Mechanics of Materials Waviness business Model |
Zdroj: | Journal of Mechanical Science and Technology. 20:1590-1606 |
ISSN: | 1976-3824 1738-494X |
DOI: | 10.1007/bf02916263 |
Popis: | Slider bearings are widely applied in mechanical systems, where the design needs cover increased load capacity, lowered friction and power consumption and creative designs. This work is governed to perform a parametric characterization, by generating a novel structure on the upper slider surface, which can formally be expressed in micro-machined wavy-form, where the individual and combined influences of various structural design parameters and boundary conditions, on the performance records, are also evaluated. Computations put forward that the contribution of the wave amplitude on power loss values is highly dependent on the level of inlet pressure ; higher amplitudes are determined to increase power loss in the lowest inlet pressure case of 1.01, whereas the contrary outcome is determined in the higher inlet pressure cases of 3.01 & 5.01. Designing the slider bearing system, based on optimal load capacity, produced the optimum wave number ranges as 10-45, 7-11 and 5-8 for the pad inclinations of 5°, 4° and 3° respectively. |
Databáze: | OpenAIRE |
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