A Computational Fluid Dynamics-Based Study on the Effect of Bionic-Compound Recess Structures in Aerostatic Thrust Bearings
Abstract
:1. Introduction
2. Compound Recess Based on the Bionic Concept
2.1. Bionic Recess Design
2.2. Physical Models
3. Numerical Modeling
3.1. Governing Equations
3.2. Computational Domain and Mesh
4. Result and Discussion
4.1. SOR Bearings with Different Recess Ratios
4.1.1. Load Capacity and Pressure Distribution of SOR Bearings
4.1.2. Stiffness and Mass Flow Rate of SOR Bearings
4.1.3. Dynamic Performance of SOR Bearings
4.2. Effect of Different Recesses on Bearing Performance
4.2.1. Static Performance of Different Types of Recesses
4.2.2. Dynamic Performance of Different Types of Recesses
4.3. Effect of Different Partition Ratios of BCRs on Bearing Performance
4.3.1. Static Performance BCR Bearings
4.3.2. Dynamic Performance of BCR Bearings
5. Conclusions
- (1)
- The throttling effect and pressure-holding effect of the recess are the primary factors determining the static performance of the bearing, and they exhibit opposite trends as the recess’s radial ratio αi changes.
- (2)
- An effective strategy to enhance the bearing’s performance is reducing the flow resistance of the recess structure, ensuring that the pressure drop in the throttling region rises slowly, remains stable, or even decreases as αi increases. This approach strikes an optimal compromise between the pressure-holding effect and the pressure drop.
- (3)
- The compound recess balances both the throttling effect and pressure-holding effect, significantly improving the static performance of the bearing. Moreover, due to its smaller air capacity compared to the traditional simple-chamber recess, it offers a clear advantage in stability, achieving an effective balance between the static and dynamic performance of the bearing.
- (4)
- The BCR equipped with a branch structure has excellent fluid distribution capability. It effectively controls the flow resistance in the recess while ensuring that the recess structures’ ratio αi is sufficiently large. Additionally, the branch structure reduces the impact of sudden changes in the structural dimensions at the boundary between the recess and the air film on the pressure distribution at the air inlet. As a result, it performs exceptionally well in both static and dynamic aspects.
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
References
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Restrictor Type | Load Capacity | Stiffness | Stability | Air Consumption | |
---|---|---|---|---|---|
Annular orifice | Low | Low | Fair | Small | |
Simple orifice | High | High | Poor | Small | |
Slot | Medium | Medium | Good | Large | |
Groove | High | High | Good | Medium | |
Porous | High | High | Excellent | Large |
Calculation Parameters | Value | ||
---|---|---|---|
SOR | RCR | BCR | |
Chamber diameter D1/(mm) | 2~30 | 2 | 2 |
Chamber height H1/(mm) | 1 | 1 | 1 |
Orifice diameter D2/(mm) | 0.2 | 0.2 | 0.2 |
Orifice height H2/(mm) | 0.3 | 0.3 | 0.3 |
Pitch diameter D0/(mm) | / | 20 | 20 |
Recess structure ratio αi | 0.05~0.75 | 0.5 | 0.5 |
Primary branch width L/(mm) | / | 1 | 1 |
Secondary branch width L1/(mm) | / | / | 0.6 |
Branch angle θ/(°) | / | / | 20 |
Secondary angle θ1/(°) | / | / | 14 |
Air-film thickness h/(μm) | 9~24 | ||
Air temperature T/(K) | 293.15 | ||
Density ρ/(kg/m3) | 1.202 | ||
Specific Heat c/(J/(kg/m3)) | 1006.43 | ||
Heat Conductivity k/(W/(m·K)) | 0.0242 | ||
Viscosity μ/(kg/(m·s)) | 1.7894 × 10−3 | ||
Molecular weight mmo/(kg/mol) | 28.966 × 10−3 | ||
Supply pressure PS/(MPa) | 0.5/0.6 | ||
Environmental pressure PO/(MPa) | 1.01325 |
Parameters | D1 = 2 mm | D1 = 10 mm | D1 = 15 mm | D1 = 20 mm | D1 = 25 mm | D1 = 30 mm |
---|---|---|---|---|---|---|
Pressure drop (Pa) | 1250 | 8023 | 10,046 | 15,535 | 16,028 | 16,980 |
Recess Types (Parameters) | SOC (D1 = 2 mm / | SOC (D1 = 20 mm / | ||
---|---|---|---|---|
Pressure drop (Pa) | 1250 | 15,535 | 7961 | 5470 |
Parameters | CR = 0.1 | CR = 0.25 | CR = 0.5 | CR = 0.75 | CR = 1 |
---|---|---|---|---|---|
Pressure drop (Pa) | 5470 | 9041 | 10,623 | 13,786 | 15,535 |
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Yuan, F.; Xiu, H.; Cao, G.; Zhang, J.; Chen, B.; Wang, Y.; Zhou, X. A Computational Fluid Dynamics-Based Study on the Effect of Bionic-Compound Recess Structures in Aerostatic Thrust Bearings. Lubricants 2024, 12, 385. https://doi.org/10.3390/lubricants12110385
Yuan F, Xiu H, Cao G, Zhang J, Chen B, Wang Y, Zhou X. A Computational Fluid Dynamics-Based Study on the Effect of Bionic-Compound Recess Structures in Aerostatic Thrust Bearings. Lubricants. 2024; 12(11):385. https://doi.org/10.3390/lubricants12110385
Chicago/Turabian StyleYuan, Fangjian, Hang Xiu, Guohua Cao, Jingran Zhang, Bingshu Chen, Yutang Wang, and Xu Zhou. 2024. "A Computational Fluid Dynamics-Based Study on the Effect of Bionic-Compound Recess Structures in Aerostatic Thrust Bearings" Lubricants 12, no. 11: 385. https://doi.org/10.3390/lubricants12110385
APA StyleYuan, F., Xiu, H., Cao, G., Zhang, J., Chen, B., Wang, Y., & Zhou, X. (2024). A Computational Fluid Dynamics-Based Study on the Effect of Bionic-Compound Recess Structures in Aerostatic Thrust Bearings. Lubricants, 12(11), 385. https://doi.org/10.3390/lubricants12110385