INFLUENCE OF MACHINING PARAMETERS ON CHIP SHRINKAGE COEFFICIENT AND MICROHARDNESS OF A7075 ALUMINUM ALLOY DURING THE MACHINING PROCESS

  • Thi –Hoa Pham Faculty of Mechanical Engineering, Hung Yen University of Technology and Education
  • Xuan – Hung Do Faculty of Mechanical Engineering, Hung Yen University of Technology and Education
  • Huu – Chuyen Vu Faculty of Mechanical Engineering, Hung Yen University of Technology and Education
Keywords: A7075 aluminum alloy, Microhardness, Chip Shrinkage Coefficient

Abstract

A Study on the Influence of Cutting Parameters (V-Cutting Speed, S-Feed rate, t-Dept of cut)- on Chip Shrinkage Coefficient (K) and microhardness (HV) during the Machining of Aluminum Alloy A7075. Microhardness and chip shrinkage are parameters representing the outcomes of physical phenomena that occur during metal cutting. This study experimentally examines cutting parameters that affect K and HV under dry cutting conditions in low-speed cutting regions. The research findings demonstrate the impact of the parameters on HV and K, with parameter V exerting the greatest influence on both outputs. The study also encompasses the optimization of cutting parameters, intending to minimize both HV and K, resulting in the values of V = 500 m/min, S = 0.2 mm/rev, and t = 0.9 mm. This optimal parameter set contributes to ensuring the highest quality and productivity during the machining of A7075 aluminum alloy.

References

Z. Ping, X. Yue, H. Shuangfeng, S. Ailing, L. Baoshun, and Y. Xiao, “Experiment and simulation on the high-speed milling mechanism of aluminum alloy 7050-T7451,” Vacuum, 2020, vol. 182, no. December 2019, p. 109778.

S. C. Cagan, B. Venkatesh, and B. B. Buldum, “Investigation of surface roughness and chip morphology of aluminum alloy in dry and minimum quantity lubrication machining,” Mater. Today Proc., 2020, vol. 27, pp. 1122–1126.

Q. Shi, Z. Hao, S. Wang, X. Fu, and H. Wang, “Control and mechanism analysis of serrated chipformation in high speed machining of aluminum alloy 7050-t7451,” Mater. Sci. Forum, 2020, vol. 990 MSF, pp. 13–17.

H. Akkuş and H. Yaka, “Experimental and statistical investigation of the effect of cutting parameters on surface roughness, vibration and energy consumption in machining of titanium 6Al-4V ELI (grade 5) alloy,” Meas. J. Int. Meas. Confed., vol. 167, no. September 2020.

I. Buj-Corral, P. Sender, and C. J. Luis-Pérez, “Multi-objective optimization of tool wear, surface roughness, and material removal rate in finishing honing processes using adaptive neural fuzzy inference systems,” Tribol. Int., Apr. 2023, vol. 182, no. February, p. 108354.

A. Şahinoğlu and M. Rafighi, “Investigation of Vibration, Sound Intensity, Machine Current and Surface Roughness Values of AISI 4140 During Machining on the Lathe,” Arab. J. Sci. Eng., 2020, vol. 45, no. 2, pp. 765–778.

A. Zerti, M. A. Yallese, I. Meddour, S. Belhadi, A. Haddad, and T. Mabrouki, “Modeling and multiobjective optimization for minimizing surface roughness, cutting force, and power, and maximizing productivity for tempered stainless steel AISI 420 in turning operations,” Int. J. Adv. Manuf. Technol., 2019, vol. 102, no. 1–4, pp. 135–157.

T. H. Pham, T. B. Mac, V. C. Tong, T. L. Banh, and D. T. Nguyen, “Simulation and experimental studies to verify the effect of cutting parameters on chip shrinkage coefficient and cutting forces in machining of A6061 aluminum alloy,” Adv. Mech. Eng., 2016, vol. 8, no. 10, pp. 1–11.

D. T. Pham, N. Duc Toan, T. H. Doan, and T. H. Phạm, “Determining the Optimal Parameters of Chip Shrinkage Coefficient and Cutting Force in High-Speed Machining for Aluminum Alloy A6061,” Appl. Mech. Mater., 2019, vol. 889, pp. 123–130.

P. Thi-Hoa, M. Thi-Bich, T. Van-Canh, B. Tien-Long, and N. Duc-Toan, “A study on the cutting force and chip shrinkage coefficient in high-speed milling of A6061 aluminum alloy,” Int. J. Adv. Manuf. Technol., 2018, vol. 98, no. 1–4, pp. 177–188.

M. Mia, M. Al Bashir, M. A. Khan, and N. R. Dhar, “Optimization of MQL flow rate for minimum cutting force and surface roughness in end milling of hardened steel (HRC 40),” Int. J. Adv. Manuf. Technol., 2017, vol. 89, no. 1–4, pp. 675–690.

E. Kuram, “Multi-objective optimization of tool nose radius and machining conditions employing Taguchi-based grey relational analysis in milling of AISI 304,” Soft Comput., 2023, vol. 0, no. 2013.

R. F. Garcia, E. C. Feix, H. T. Mendel, A. R. Gonzalez, and A. J. Souza, “Optimization of cutting parameters for finish turning of 6082-T6 aluminum alloy under dry and RQL conditions,” J. Brazilian Soc. Mech. Sci. Eng., 2019, vol. 41, no. 8.

A. Awale and K. Inamdar, “Multi - objective optimization of high - speed turning parameters for hardened AISI S7 tool steel using grey relational analysis,” J. Brazilian Soc. Mech. Sci. Eng., 2020.

U. M. R. Paturi, A. Yash, S. Teja Palakurthy, and N. S. Reddy, “Modeling and optimization of machining parameters for minimizing surface roughness and tool wear during AISI 52100 steel dry turning,” Mater. Today Proc., 2022, vol. 50, pp. 1164–1172.

A. Sethupathy and N. Shanmugasundaram, “Prediction of cutting force based on machining parameters on AL7075-T6 aluminum alloy by response surface methodology in end milling,” Materwiss. Werksttech., 2021, vol. 52, no. 8, pp. 879–890.

Published
2024-07-20
How to Cite
Thi –Hoa Pham, Xuan – Hung Do, & Huu – Chuyen Vu. (2024). INFLUENCE OF MACHINING PARAMETERS ON CHIP SHRINKAGE COEFFICIENT AND MICROHARDNESS OF A7075 ALUMINUM ALLOY DURING THE MACHINING PROCESS. Journal of Applied Science and Technology, 43, 27-33. Retrieved from http://jst.utehy.edu.vn/index.php/jst/article/view/727