EXPERIMENTAL RESEARCH ON EFFECT OF TECHNOLOGY PARAMETERS ON VIBRATION DURING MILLING SKD11 STEEL | Bích | TNU Journal of Science and Technology

EXPERIMENTAL RESEARCH ON EFFECT OF TECHNOLOGY PARAMETERS ON VIBRATION DURING MILLING SKD11 STEEL

About this article

Received: 16/12/22                Revised: 09/03/23                Published: 14/03/23

Authors

1. Mac Thi Bich, Hung Yen University of Technology and Education
2. Luyen The Thanh Email to author, Hung Yen University of Technology and Education

Abstract


A self-excited vibration is called chatter of components in technology systems. It occurs widely in cutting methods and significantly affects the manufacturing process efficiency and product quality. Vibration is the cause of dimensional accuracy, surface roughness, and tool life. In this paper, the input parameters of the milling process were studied including cutting speed (V), feed rate (f), and cutting depth (t). The Taguchi method was first used for experimental design. Then the ANOVA analysis of variance method was used to estimate the simultaneous influence of the input parameters on the vibration. The optimal set of technological parameters to achieve the smallest vibration is A3B1C1 corresponding to V = 280 m/min, f = 230 mm/min, and t = 0.5 mm. Finally, a mathematical regression function describing the influence of the input technological parameters on vibration amplitude is built and gives high accuracy when compared with experimental data.

Keywords


Vibration; SKD11 steel; Cutting depth; Feed rate; Cutting speed

Full Text:

PDF

References


[1] S. Smith and J. Tlusty, “Efficient Simulation Programs for Chatter in Milling,” Annals of the CIRP, vol. 30, no. 1, pp. 21–25, 1993.

[2] I. Minis and T. Yanushevshky, “A New Theoretical Approach for the Prediction of Machine Tool Chatter in Milling,” ASME Journal of Engineering for Industry, vol. 115, pp. 1–8, 1993.

[3] Y. Altintas and E. Budak “Analytical Prediction of Stability Lobes in Milling,” Annals of the CIRP, vol. 44, no. 1, pp. 357–362, 1995.

[4] E. Shamoto and K. Akazawa, “Analytical prediction of chatter stability in ball end milling with tool inclination,” CIRP Annals – Manufacturing Technology, vol. 58, pp. 351-354, 2009.

[5] Y. Kakinuma, Y. Sudo, and T. Aoyama, “Detection of chatter vibration in end milling applying disturbance observer,” CIRP Annals – Manufacturing Technology, vol. 60, pp. 109-112, 2011.

[6] T.-B. Mac, V.-C. Dinh, T.-L. Banh, and D.-T. Nguyen, “Cutting force model for thermal-assisted machining of tool steel based on Taguchi method,” Metals, vol. 8, no. 12, pp. 1-18, 2018.

[7] A. K. M. N. Amin, M. H. B. Saad, and M. D. Arif, “Modeling & Optimization of Surface Roughness & Vibration Amplitude in Heat Assisted End Milling of SKD 11 Tool Steel using Ball Nose Tool,” Advanced Materials Research, vol. 541, pp. 799–803, 2012.

[8] R. Sridhar, S. P. Subramaniyan, and S. Ramesh, “Optimization of machining and Geometrical parameters to reduce vibration while milling metal matrix composite,” Transactions of the Indian Institute of Metals, vol. 72, pp. 3179-3189, 2019.

[9] S. Wojciechowski, R. W. Maruda, G. M. Krolczyk, and P. Niesłony, “Application of signal to noise ratio and grey relational analysis to minimize forces and vibrations during precise ball end milling,” Precision Engineering, vol. 51, pp. 582-596, 2018.

[10] C. Wang, F. Ding, D. Tang, L. Zheng, S. Li, and Y. Xie, “Modeling and simulation of the high-speed milling of hardened steel SKD11 (62 HRC) based on SHPB technology,” International Journal of Machine Tools and Manufacturing, vol. 108, pp. 13-26, 2016.

[11] D. W. Tang, C. Y. Wang, Y. N. Hu, and Y. X. Song, “Constitutive equation for hardened SKD11 steel at high temperature and high strain rate using the SHPB technique,” Proceedings of Fourth International Conference on Experimental Mechanics, vol. 7522, pp. 1-12, 2009.




DOI: https://doi.org/10.34238/tnu-jst.7119

Refbacks

  • There are currently no refbacks.
TNU Journal of Science and Technology
Rooms 408, 409 - Administration Building - Thai Nguyen University
Tan Thinh Ward - Thai Nguyen City
Phone: (+84) 208 3840 288 - E-mail: jst@tnu.edu.vn
Based on Open Journal Systems
©2018 All Rights Reserved