Modeling of Cutting Temperature in Hard Milling of SKD 11 Alloy Steel by Using Response Surface Methodology
Author(s):
Quoc-Manh Nguyen†, The-Vinh Do‡,*
Affiliation(s):
†Hung Yen University of Technology and Education, Hung Yen, Vietnam
‡Thai Nguyen University of Technology, Thai Nguyen city, Vietnam
Corresponding Author Email: [email protected]
This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Cutting temperature is an important indicator in machining. It affects cutting force, tool life, and chip formation. In this study, the Response Surface methodology (RSM) was applied to provide a predictive model of cutting temperature in hard milling of SKD 11 alloy steel. Four factors including SiO2 nanoparticle concentration and cutting parameters which include cutting speed, feedrate, and depth of cut were investigated to find their influence on cutting temperature. Each element has 3 different levels. L27 array of Taguchi method was selected for experimental organization. Simultaneously, the effectiveness of nanoparticles added to the cutting fluid was demonstrated when compared with conventional MQL.