Prediction of cutting temperature in carbide cutting tool using finite element method

Yıl 2021, Cilt: 5 Sayı: 3, 398 - 404, 15.12.2021

Mercy Ozakpolor Cyril Aliyegbenoma Dıckson Davıd Olodu

https://doi.org/10.35860/iarej.859488

Öz

This study demonstrated the effectiveness of the finite element method in predicting the cutting temperature in carbide inserted cutting tool. A three-factor Box-Behnken design, making seventeen cutting tests of a cylindrical mild steel bar with 200 mm length by von mises diameter was employed to study the numerical and the experimental predictions. The data obtained from the tool tests was compared and statistically analyzed using the reliability plots. On comparison, both the experimental and finite element method (FEM) analysis by ANSYS® readings were in close agreements, with the minimum and maximum error of 0.010% and 0.895%, respectively. In conclusion, the research clearly shows that ANSYS® is a very efficient expert tool for modeling and predicting the cutting temperature of carbide insert cutting tool in dry turning operation using mild steel.

Anahtar Kelimeler

Natural stone, Point load index, Rock characterization, Test device

Kaynakça

• 1. Dautzenberg, J.H., Jasper, S.P.F.C and Taminiau, D. A., The Work Piece Material in Machining. International Journal of Advanced Manufacturing Technology, 1999. 15 (6): p. 383-386.
• 2. Lazoglu, L. and Altintas, Y., Prediction of Tool Chip Temperature in Continuous and Interrupted Machining. International Journal of Machine Tools and Manufacture, 2002. 42: p. 1011-1022.
• 3. Ostafiev, V., Kharkevich A., Weinert, K. and Ostafiev S., Tool Heat Transfer in Orthogonal Metal Cutting. Journal of Manufacturing Science and Engineering, 1999. 121: p. 541-549.
• 4. Grzesik, W., Experimental Investigation of the Cutting Temperature when Turning with Coated Indexable Inserts. International Journal of Machine Tools and Manufacture, 1999. 39: p. 355-369.
• 5. Dewes, R.C., Chua, K.S and Newton P.G., Temperature Measurement when High Speed Machining Hardened Mould/Die Steel. Journal of Materials Processing Technology, 1999. 92-93: p. 293-301.
• 6. Chaudhary, S. K. and Bartarya, G., Role of Temperature and Surface Finish in Predicting Tool Wear using Neural Network and Design of Experiment. International Journal of Machine Tools and Manufacture, 2003. 43: p. 747-753.
• 7. Miller, M.R., Mulholland, G. and Anderson, C., Experimental Cutting Tool Temperature Distributions. Journal of Manufacturing Science and Engineering, 2003. 125: p. 667-673.
• 8. Abhang, L.B. and Hameedullah, M., Chip-Tool Interface Temperatures Prediction Model for Turning Process. International Engineering Science and Technology, 2010. 2: p. 382-393.
• 9. Ranc, N., Pina, V., Sutter, G. And Philippon, S., Temperature Measurement by Visible Pyrometry: Orthogonal Cutting Application. Journal of Heat Transfer, 2004. 126: p. 931-936.
• 10. Nasr, M. N. A, Balbaa, M. and Elgamal, H., Modeling Machining-Induced Residual Stresses after Laser-Assisted Turning of Steels. Advanced Materials Research, 2014. 96: p. 622- 627.
• 11. Aberg, E. and Green, R.E. Machinery’s Handbook 25th Edition Industrial Press Inc. New York, 1996.
• 12. Thomas, M., Beauchamp, Y., Youssef, Y.A., Masounave, J., (1997). An Experimental Design for Surface Roughness and Built-up Edge Formation in Lathe Dry Turning. International Journal of Quality Science, 1997. 2(3), p. 167-180.
• 13. Harinath G., et al., Experimental Investigations and effects of Cutting Variables on MRR and Tool Wear for AISI 52 Tool Steel. Proceedings of Materials Science, 2014. 5: p. 1398-140.
• 14. Etin-osa, C. E. and Achebo, J. I., Analysis of Optimum Butt Welded Joint for Mild Steel Components Using FEM (ANSYS). American Journal of Naval Architecture and Marine Engineering, 2017. 2(3): p. 61-70.
• 15. Ozakpolor, M., Achebo, J.I., and Ogbeide, S.E., Expert Modelling And Prediction of Von Mises Stresses In Carbide Insert Cutting Tool Using Fem (Ansys)" Global Scientific Journals, 2019. 7(1): p. 397-402.
• 16. Ozel, T. and Altan, T., Determination of Work Piece Flow Stress and Friction at the Chip-Tools Contact for High-Speed Cutting. International Journal of Machine Tools and Manufacture, 2000. 40(1): p. 133-152.
• 17. Elbestawi, M. A., El-Wardeny, T.L. and Mohammed, E., Cutting Temperature of Ceramic Tools in High Speed Machining of Difficult to Cut Raw Materials. International Journal of Machine Tools and Manufacture, 1996. 36(5): 611-634.
• 18. Olodu, D. D., Optimization and Analysis of Cutting Tool Geometrical Parameters using Taguchi Method. Journal of Applied Science Environmental Management, 2018. 22(3): p. 346–349.