Improving the Performance of Micro-Textured Cutting Tools in Dry Milling of Ti-6Al-4V Alloys
Abstract
:1. Introduction
2. Experimental
2.1. Preparation of Micro-Textured Cutting Tools
2.2. Milling Tests
3. Results and Discussion
3.1. Single-Factor Tests
3.1.1. Resultant Cutting Force
3.1.2. Cutting Temperature
3.1.3. Surface Roughness
3.1.4. Tool Life
3.1.5. Power Consumption
3.2. Taguchi Tests
3.3. Discussion
4. Conclusions
- Compared to conventional tools, micro-textured tools can reduce the resultant cutting forces and the cutting temperatures by 15% and 10%, respectively. The tool lives of so-called micro-textured tools are improved by approximately 20–25%. Meanwhile, the developed tools can also reduce the surface roughness of the finished workpiece to some extent.
- The use of micro-textured tools can reduce the power consumption by approximately 5%. The cutting speed and the radial width of cut all have a certain effect on the energy consumption per unit of volume within the reliability interval of 99%. The axial depth of cut has a certain effect on the energy consumption per unit of volume at the reliability interval of 90%. However, the feed per tooth has no effect on the energy consumption per unit of volume at the reliability interval of 90%.
- The mechanism for improved performance of micro-textured tools can be mainly interpreted as their self-lubricating function.
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Composition (wt%) | Hardness (HRA) | Thermal Conductivity (W/m·k) | Thermal Expansion Coefficient (10−6/k) | Density (g/cm3) |
---|---|---|---|---|
WC + 6%Co | 92.0 | 52.3 | 4.8 | 15.4 |
Test | Cutting Speed, v (m/Min) | Feed per Tooth, fz (mm/z) | Axial Depth of Cut, ap (mm) | Radial Width of Cut, ae (mm) | Error Term | Energy Consumption per Unit of Volume, W (kJ/mm3) |
---|---|---|---|---|---|---|
1 | 200 | 0.05 | 0.5 | 15 | 1 | 0.082 |
2 | 200 | 0.1 | 1 | 30 | 2 | 0.074 |
3 | 200 | 0.2 | 1.5 | 50 | 3 | 0.068 |
4 | 200 | 0.3 | 2 | 80 | 4 | 0.063 |
5 | 240 | 0.05 | 1 | 50 | 4 | 0.076 |
6 | 240 | 0.1 | 0.5 | 80 | 3 | 0.071 |
7 | 240 | 0.2 | 2 | 15 | 2 | 0.083 |
8 | 240 | 0.3 | 1.5 | 30 | 1 | 0.079 |
9 | 280 | 0.05 | 1.5 | 80 | 2 | 0.071 |
10 | 280 | 0.1 | 2 | 50 | 1 | 0.075 |
11 | 280 | 0.2 | 0.5 | 30 | 4 | 0.081 |
12 | 280 | 0.3 | 1 | 15 | 3 | 0.092 |
13 | 320 | 0.05 | 2 | 30 | 3 | 0.065 |
14 | 320 | 0.1 | 1.5 | 15 | 4 | 0.078 |
15 | 320 | 0.2 | 1 | 80 | 1 | 0.063 |
16 | 320 | 0.3 | 0.5 | 50 | 2 | 0.069 |
Source of Variance | Sum of Squares (×10−6) | Degree of Freedom | Variance (×10−6) | Test F | F | Percentage of Contribution (%) |
---|---|---|---|---|---|---|
Cutting speed | 296 | 3 | 98.7 | 37 | 5.39 a | 29.96 |
Feed per tooth | 20 | 3 | 6.7 | 2.5 | 9.28 b | 2.02 |
Axial depth of cut | 48 | 3 | 16 | 6 | 29.5 c | 4.86 |
Radial width of cut | 616 | 3 | 205.3 | 77 | 62.35 | |
Error | 8 | 3 | 2.7 | 0.81 | ||
Total | 988 | 15 | 100 |
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Wu, Z.; Xing, Y.; Chen, J. Improving the Performance of Micro-Textured Cutting Tools in Dry Milling of Ti-6Al-4V Alloys. Micromachines 2021, 12, 945. https://doi.org/10.3390/mi12080945
Wu Z, Xing Y, Chen J. Improving the Performance of Micro-Textured Cutting Tools in Dry Milling of Ti-6Al-4V Alloys. Micromachines. 2021; 12(8):945. https://doi.org/10.3390/mi12080945
Chicago/Turabian StyleWu, Ze, Youqiang Xing, and Jiansong Chen. 2021. "Improving the Performance of Micro-Textured Cutting Tools in Dry Milling of Ti-6Al-4V Alloys" Micromachines 12, no. 8: 945. https://doi.org/10.3390/mi12080945
APA StyleWu, Z., Xing, Y., & Chen, J. (2021). Improving the Performance of Micro-Textured Cutting Tools in Dry Milling of Ti-6Al-4V Alloys. Micromachines, 12(8), 945. https://doi.org/10.3390/mi12080945