Optimization of Dressing Parameters for Minimum Surface Roughness and Maximum Material Removal Rate in Internal Grinding of SKD11 Tool Steel

Nguyen Anh Tuan; Do The Vinh; Pham Duc Lam; Le Hoang Anh; Trinh Kieu Tuan; Vu Manh Huy; Tran Ngoc Giang; Le Xuan Hung

doi:10.1051/e3sconf/202130901165

All issues

Volume 309 (2021)

E3S Web Conf., 309 (2021) 01165

References

Open Access

Issue		E3S Web Conf. Volume 309, 2021 3^rd International Conference on Design and Manufacturing Aspects for Sustainable Energy (ICMED-ICMPC 2021)


Article Number		01165
Number of page(s)		6
DOI		https://doi.org/10.1051/e3sconf/202130901165
Published online		07 October 2021

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[1] T.-V. Do and Q.-C. Hsu, Optimization of minimum quantity lubricant conditions and cutting parameters in hard milling of AISI H13 steel. Applied Sciences 6, 83 (2016). [Google Scholar]

[2] T.-V. Do, N.-C. Vu, and Q.-M. Nguyen, Optimization of cooling conditions and cutting parameters during hard milling of AISI H13 steel by using Taguchi method. In 2018 IEEE International Conference on Advanced Manufacturing (ICAM), pp. 396–398 (2018). [Google Scholar]

[3] J. Saedon, N. Jaafar, M. A. Yahaya, N. Saad, and M. S. Kasim, Multi-objective optimization of titanium alloy through orthogonal array and grey relational analysis in WEDM. Procedia Technology 15, 832–840 (2014). [Google Scholar]

[4] J. Deng, Introduction to grey system theory. The Journal of Grey System 1, 1–24 (1989). [Google Scholar]

[5] J. Kopac and P. Krajnik, Robust design of flank milling parameters based on grey-Taguchi method. Journal of Materials Processing Technology 191, 400–403 (2007). [Google Scholar]

[6] J. Ren, J. Zhou, and J. Wei, Optimization of cutter geometric parameters in end milling of titanium alloy using the grey-Taguchi method. Advances in Mechanical Engineering 7 (2), 1–10 (2015). [Google Scholar]