This is an open access article distributed under the CC BY 4.0
Volume 18 article 710 pages: 432 - 437
Surface roughness is an important assessment of metal cutting. This paper presents an empirical investigation of cutting conditions on the surface roughness in hard milling SKD61 steel. The cutting speed, feed rate, depth of cut, and
nanoparticle concentration were taken as the parameters in the experimental setup. The mixer of SiO2
a size of 100nm based on cutting oil CT232 was used with 3 levels of concentration: 0, 2, and 4wt%. Twenty-seven
experiments were carried out based on the DOE method developed by G. Taguchi. The best model from response
surface methodology (RSM) was developed regarding the surface roughness. Further analysis with ANOVA method was performed to confirm the significant of the achieved model as well as machining parameters. According to
experiment results, the weight percent of nanoparticles concentration had a great impact on the surface roughness,
only after the feed rate. Additionally, the excellent effective
The authors wish to thank Thai Nguyen University of
Technology. This work was supported by Thai Nguyen
University of Technology.
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