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기계구조용 탄소강(SM20C)의 단속절삭 시 표면거칠기 예측
이이선,배명일 한국기계기술학회 2014 한국기계기술학회지 Vol.16 No.6
In this study, we carried out interrupted cutting of carbon steel for machine structure(SM20C) with uncoated carbide tool and analyzed anova test and confidence interval to find influential factor to surface roughness, and obtained regression equation. Rhe results are follows: First, we found that affected factor to surface roughness in interrupted cutting was feed rate. Secondly, the cutting speed and depth of cut was small affected to surface roughness. Finally, from multi-regression analysis of interrupted cutting experimental result, obtained regression equation and it’s coefficient determination was 0.814 and it means that regression equation was predictable. Compared with other continuous cutting, if feed rate increase, surface roughness will grow in interrupted cutting.
이이선,배명일 한국기계기술학회 2016 한국기계기술학회지 Vol.18 No.4
In this study, we conducted an interrupted cutting SM20C with lathe and uncoated carbite tool, determined the relationship between Cutting Forces(principal, radial, feed force) by correlation analysis, and predicted the optimum cutting conditions by multiple regression analysis. The result were as follow. : From the correlation analysis, the increase of cutting speed and depth of cut reduces the principal force and radial force. the increase of cutting speed, depth of cut and feed rate will increase the feed force. From multi-regression analysis, we extracted regression equation and the coefficient of determination (R2) was 0.638, 0.692, 0.536 at principal, radial and feed force . It means that the regression equation is not high accuracy. However, it is predictable that the tendency of the forces action the interrupted cutting.
마그네틱실 설계변수에 따른 STS630의 홈가공 절삭력 변화
김형철,이이선,배명일 한국기계기술학회 2016 한국기계기술학회지 Vol.18 No.4
This study investigates on the tuning stainless steel(STS630) to understand for groove cutting characteristics. For this purpose, we observed the cutting force according to feed rate and cutting speed variation and performed the computational analysis due to groove cutting depth. In groove cutting of stainless steel, there were principal force, feed force and radial force by arranging the highest cutting force in order. In case of wall thicknesses of 0.3mm and 0.5mm at groove cutting, principal force increases according to the increase of feed rate but it is not related to cutting speed. We found the unstable region of cutting force that is caused to the friction resistance of cutting tool and elastic deformation of groove wall. In computational analysis, we confirmed that the more feed rate increases, the more strain increases around the tooth root.
단침보강세라믹공구를 이용한 금형강(SKD61)의 선삭가공 시 표면거칠기에 영향을 미치는 인자 및 회귀방정식 도출
배명일(Myung-Il Bae),이이선(Yi-Seon Rhie),김형철(Hyeung-Chul Kim) 한국기계가공학회 2012 한국기계가공학회지 Vol.11 No.4
In this study, we turning mold steel (SKD61) using whisker reinforced ceramic tool (WA1) to get affected factor to surface roughness and regression equation. For this study, we adapt system of experiments. Results are follows; From the analysis of variance, it was found that affected factor to surface roughness was feed rate, cutting speed, depth of cut in order. From multi-regression analysis, we calculated regression equation and the coefficient of determination(R²). R² was 0.978 and It means regression equation is significant. Regression equation means if feed rate increase 0.039㎜/rev, surface roughness will increase 0.8391㎛, if cutting speed increase 50m/min, surface roughness will decrease 0.034㎛, if depth of cut increase 0.1㎜, surface roughness will increase 0.0203㎛. From the experimental verification, it was confirmed that surface roughness was predictable by system of experiments.
플라스틱 금형강의 선삭 가공시 중회귀분석을 이용한 표면거칠기 예측
배명일(Myung-Il Bae),이이선(Yi-Seon Rhie) 한국기계가공학회 2013 한국기계가공학회지 Vol.12 No.4
In this study, we carried out the turning of plastic mold steel(STAVAX) with whisker reinforced ceramic tool(WA1) and analyzed ANOVA(Analysis of Variance) test. Multi-regression analysis was performed to find influential factors to surface roughness and to derive regression equation. Results are follows: From ANOVA test and confidence interval analysis of surface roughness, We found that influential factors to surface roughness was feed rate, cutting speed and depth of cut in order. From multi-regression analysis, we derived regression equation of STAVAX. it"s coefficient of determination(R<SUP>2</SUP>) was 0.945 and It means that regression equation is significant. From experimental verification, we confirmed that surface roughness was predictable by regression equation. Compared with former research, we confirmed that increase of feed rate is the main cause of the growing of surface roughness and cutting force.
기계구조용 탄소강(SM45C)의 단속절삭 시 절삭력예측을 위한 회귀방정식 도출
배명일(Myung-Il Bae),이이선(Yi-Seon Rhie) 한국기계가공학회 2016 한국기계가공학회지 Vol.15 No.4
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.
단침보강 세라믹 공구를 이용한 플라스틱 금형강(STAVAX)의 선삭가공
배명일(Myung-Il Bae),이이선(Yi-Seon Lee) 한국기계가공학회 2012 한국기계가공학회지 Vol.11 No.6
In this study, we turning plastic mold steel (STAVAX) against cutting speed, depth of cut, feed rate using whisker reinforced ceramic tool (WA1). To predict cutting force, analyze principal, radial, feed force with multi-regression analysis. Results are follows: From the analysis of variance, affected factor to cutting force feed rate, depth of cut, cutting speed in order and cutting speed was very small affect to cutting force. From multi-regression analysis, we extracted regression equation and the coefficient of determination(R2) was 0.9, 0.88, 0.856 at principal, radial and feed force. It means regression equation is significant. From the experimental verification, it was confirmed that principal, radial and feed force was predictable by regression equation.