Nanoscale Polishing of TC4 Titanium Alloy Surface Based on Dual-Pole Magnetic Abrasive Finishing Method
Abstract
:1. Introduction
2. Methods and Experimental Procedures
2.1. Analysis of Magnetic Field Strength
2.1.1. The Shape and Combination of the Magnetic Poles
2.1.2. Simulation Analysis of the Magnetic Pole Combinations
2.2. The Machining Principle
2.3. The Experimental Setup
2.4. The Experimental Conditions and the Measuring Method
3. Results
3.1. The Influence of the Gap Between the Upper and Lower Magnetic Poles on the Polishing Effect
3.2. The Influence of the Rotational Speed of the Magnetic Poles on the Polishing Effect
3.3. The Influence of the Abrasive Combination on the Polishing Effect
3.4. Characterization of the Workpiece Surface After Multi-Stage Polishing
3.5. Simulation of the Intensity of Magnetic Induction
4. Discussion
5. Conclusions
- (1)
- The distribution of the magnetic field and the magnetic induction intensity generated using different combinations of magnetic poles were analyzed using Ansys Maxwell simulation software. The strongest magnetic induction intensity generated by the upper and lower magnetic poles in the polishing zone, which were both cubic magnetic poles, reached a maximum value of 0.792 T.
- (2)
- By studying the effect of the gap between the upper and lower magnetic poles and the rotational speed of the magnetic poles on the polishing effect, we found that a better surface polishing effect could be obtained using a 5 mm gap between dual-magnetic poles and a 300 rpm rotational speed for the magnetic poles.
- (3)
- Using the same gap between the upper and lower magnetic poles and the same rotational speed of the magnetic poles, when using combination IV of the mixed magnetic abrasive, the surface roughness Ra of the workpiece could be reduced from an initial 0.433 μm to 0.015 μm. Additionally, a mirror-like polishing effect was achieved in the polishing zone on the workpiece surface.
- (4)
- The surface morphology of the workpiece was evaluated using a white light interferometer. The results show that the surface roughness Sa of the measurement point was reduced to below 10 nm, and the 3D morphology of the workpiece’s surface basically tended to become flat. However, a small number of defects still existed on the workpiece surface.
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Machining Parameters | Numerical Value |
---|---|
Workpiece | TC4 titanium alloy plate (100 × 80 × 1 mm) |
Initial surface roughness Ra | 0.4~0.5 μm |
Magnetic pole material | NdFe35 permanent magnet |
Mixed magnetic abrasive | Electrolytic iron powder (Fe3O4): #45 (325 μm), #100 (150 μm), #200 (75 μm), #450 (30 μm); |
WA(Al2O3): #800 (18 μm), #2000 (6.5 μm), #4000 (3 μm), #8000 (1.6 μm); DMD: #W5 (3 μm), #W2 (1.2 μm), #W1 (0.6 μm); | |
Diamond oil-based grinding fluid | |
Mass ratio of iron-based phase to polishing phase | 2:1 |
Rotational speed of magnetic pole | 200 rpm, 250 rpm, 300 rpm |
Gap between upper and lower magnetic poles | 4 mm, 5 mm, 6 mm |
Total polishing time | 30 min (each polishing stage is 10 min) |
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Zhou, Z.; Sun, X.; Liang, S.; Fang, Y.; Yang, Y.; Fu, Y.; Zou, S. Nanoscale Polishing of TC4 Titanium Alloy Surface Based on Dual-Pole Magnetic Abrasive Finishing Method. Micromachines 2025, 16, 620. https://doi.org/10.3390/mi16060620
Zhou Z, Sun X, Liang S, Fang Y, Yang Y, Fu Y, Zou S. Nanoscale Polishing of TC4 Titanium Alloy Surface Based on Dual-Pole Magnetic Abrasive Finishing Method. Micromachines. 2025; 16(6):620. https://doi.org/10.3390/mi16060620
Chicago/Turabian StyleZhou, Zhenfeng, Xu Sun, Shibing Liang, Ying Fang, Yanzhen Yang, Yongjian Fu, and Shiqing Zou. 2025. "Nanoscale Polishing of TC4 Titanium Alloy Surface Based on Dual-Pole Magnetic Abrasive Finishing Method" Micromachines 16, no. 6: 620. https://doi.org/10.3390/mi16060620
APA StyleZhou, Z., Sun, X., Liang, S., Fang, Y., Yang, Y., Fu, Y., & Zou, S. (2025). Nanoscale Polishing of TC4 Titanium Alloy Surface Based on Dual-Pole Magnetic Abrasive Finishing Method. Micromachines, 16(6), 620. https://doi.org/10.3390/mi16060620