Improving Stability Prediction in Peripheral Milling of Al7075T6
Abstract
:1. Introduction
2. Materials and Methods
2.1. Milling Stability Prediction with the EMHP Method
2.2. Effect of Runout and Cutting Speed
3. Results
3.1. Experimental Validation of Stability Prediction
3.2. Accuracy and Computation Times
4. Discussion
5. Conclusions
- We observed a significant variation in the cutting forces depending on cutting speeds, and a model was thus proposed where the cutting-force coefficients varied depending on the cutting speed. Using an exponential cutting speed model, we described how the cutting-force coefficient decreased as a function of the increase in cutting speed.
- It was experimentally demonstrated that inclusion of the effects of the helix angle, runout, and characterization dependent on the cutting speed allowed for much more precise stability boundaries. Furthermore, typical stability lobes with constant cutting coefficients were found to only be valid for a narrow spindle speed range, meaning that their applicability is not valid in real practice.
- The convergence of the EMHP was compared with other efficient methods, such as the semi-discretization and full-discretization methods. When considering numeric convergence and computation times, the EMHP and Chebyshev proved to be the most efficient methods.
Author Contributions
Funding
Conflicts of Interest
References
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Olvera, D.; Urbikain, G.; Elías-Zuñiga, A.; López de Lacalle, L.N. Improving Stability Prediction in Peripheral Milling of Al7075T6. Appl. Sci. 2018, 8, 1316. https://doi.org/10.3390/app8081316
Olvera D, Urbikain G, Elías-Zuñiga A, López de Lacalle LN. Improving Stability Prediction in Peripheral Milling of Al7075T6. Applied Sciences. 2018; 8(8):1316. https://doi.org/10.3390/app8081316
Chicago/Turabian StyleOlvera, Daniel, Gorka Urbikain, Alex Elías-Zuñiga, and Luis Norberto López de Lacalle. 2018. "Improving Stability Prediction in Peripheral Milling of Al7075T6" Applied Sciences 8, no. 8: 1316. https://doi.org/10.3390/app8081316