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Vol 14, Issue 1, 2023
Pages: 179 - 185
Professional paper
Metallic materials
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Published: 01.05.2023. Professional paper Metallic materials

INVESTIGATION OF CUTTING CONDITIONS INFLUENCE ON SURFACE ROUGHNESS DURING MQL MACHINING OF STEEL

By
Tarik Gazić ,
Tarik Gazić

Faculty of Mechanical Engineering, University of Zenica , Zenica , Bosnia and Herzegovina

Sabahudin Ekinovic ,
Sabahudin Ekinovic
Contact Sabahudin Ekinovic

Faculty of Mechanical Engineering, University of Zenica , Zenica , Bosnia and Herzegovina

Edin Begović ,
Edin Begović

Faculty of Mechanical Engineering, University of Zenica , Zenica , Bosnia and Herzegovina

Ibrahim Plančić
Ibrahim Plančić

Faculty of Mechanical Engineering, University of Zenica , Zenica , Bosnia and Herzegovina

Abstract

In the paper, the influence of the cutting conditions (cutting speed, feed, and depth of cut) during
the machining of the cylindrical steel part on the surface roughness (average surface roughness-
Ra) is analysed using experimental investigation. The material used in the full factorial
experimental investigation was C45 steel, a diameter of 50 mm, machined on a conventional lathe
POTISJE ADA 501M. Cooling and lubrication were realised by means of JOOM MQL system
model J-T2X-012-2K-T, from Daido Metal, which supplies a cutting zone with oil-on-water
droplets average size of 100 microns and with an oil film thickness of 1000 Å. Carbide inserts
SNMG 120408-MA Grade US735 MITSUBISHI were used as cutting tools. The results of the
experiment show that cutting speed is the most influential factor in surface roughness. Increasing
cutting speed, the surface roughness decreases. This factor seems to be the only one that is
statistically significant. Feed is the second strongest factor followed by the depth of cut. Both are
statistically insignificant for 0.05 level of significance (95% reliability). The linear regression
model is, by appropriate mathematical operation, transformed, coded, and decoded into the
exponential model. The model is represented by diagrams given at the end of the work.

References

1.
NIST/SEMATECH e-Handbook of Statistical Methods. 2022;
2.
Datta S. Design of experiments. 2018;1-4,.
3.
Stanić J. Metod inženjerskog merenja, (The method of engineering measurement. 1981;5-32,60-80,.
4.
Najiha MS, Rahman MM, Kadirgama K, et al. Multi-objective optimization of minimum quantity lubrication in end milling of aluminum alloy AA6061T6. International Journal of Automotive and Mechanical Engineering. 2015;12:3003–17.
5.
Bradley N. Applied mathematics and computer science. 2007;4-35,.
6.
Ekinović S. Metode statističke analize u MS Excel-u”. Statistical methods in MS Excel. 2008;2:27–50, 188-210,.
7.
Baksalary OM, Trenkler G. An alternative look at the linear regression model. Statistical Papers. 2022;63(5):1499–509.

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