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http://dx.doi.org/10.14775/ksmpe.2016.15.4.040

Regression Equation Deduction for Cutting Force Prediction during Interrupted Cutting of Carbon Steel for Machine Structure (SM45C)  

Bae, Myung-Il (Department of Mechanical & Metallurgical Engineering Education, Chung-nam National UNIV.)
Rhie, Yi-Seon (BM Works)
Publication Information
Journal of the Korean Society of Manufacturing Process Engineers / v.15, no.4, 2016 , pp. 40-45 More about this Journal
Abstract
Interrupted cutting has different cutting characteristics compared with continuous cutting. In interrupted cutting, the workpiece has a groove that regularly impacts the cutting tool and workpiece. Therefore, tool damage occurs rapidly, and this increases the cutting force and surface roughness. In this study, we performed interrupted cutting of carbon steel for machine structure (SM45C) using a coated carbide tool (TT7100). To predict the cutting force, we analyzed the experimental results with a regression analysis. The results were as follows: We confirmed that the factors affecting the principal force and radial force were cutting speed, depth of cut, and feed rate. From the multi-regression analysis, we deduced regression equations, and their coefficients of determination were 89.6, 89.27, and 28.27 for the principal, radial, and feed forces, respectively. This means that the regression equations were significant for the principal and radial forces but not for the feed force.
Keywords
Carbon Steel for Machine Structure(SM45C); Regression Equation; Cutting Force; Coated Carbide Tool;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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