Istrazivanja i projektovanja za privreduJournal of Applied Engineering Science


DOI: 10.5937/jaes18-27335 
This is an open access article distributed under the CC BY 4.0
Creative Commons License

Volume 18 article 710 pages: 432 - 437

The-Vinh Do*
Thai Nguyen University of Technology, Research Development Institute of Advanced Industrial Technology, Thai Nguyen city, Vietnam

Thanh-Dat Phan
Thai Nguyen University of Technology, Faculty of International training, Thai Nguyen city, Vietnam

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 particles with 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

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The authors wish to thank Thai Nguyen University of Technology. This work was supported by Thai Nguyen University of Technology.

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