한국기계가공학회지 (Journal of the Korean Society of Manufacturing Process Engineers)

  • 제13권3호
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  • Pages.77-82
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  • 2014
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  • 1598-6721(pISSN)
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  • 2288-0771(eISSN)
한국기계가공학회 (The Korean Society of Manufacturing Process Engineers)
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초경피복공구를 이용한 기계구조용 탄소강의 단속절삭시 표면거칠기 예측

Surface Roughness Prediction of Interrupted Cutting in SM45C Using Coated Tool

  • 배명일 (충남대학교 사범대학 기계금속공학교육과) ;
  • 이이선 (충남대학교 기계공학과)
  • Bae, Myung-Il (Department of Mechanical & Metallurgical Engineering Education, Chung-nam National University) ;
  • Rhie, Yi-Seon (Department of Mechanical Engineering, Chung-nam National University)
  • 투고 : 2014.04.28
  • 심사 : 2014.06.17
  • 발행 : 2014.06.30
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초록

In this study, we carried out the interrupted cutting of carbon steel for a machine structure (SM45C) with a CVD-coated tool and conducted an ANOVA test and a confidence interval analysis to find factors influence the surface roughness and to obtain a regression equation. We found that factor which mostly affects the surface roughness during interrupted cutting was the feed rate. The cutting speed and depth of the cut only had small effect on the surface roughness. From the result of a multi-regression analysis during an interrupted cutting experiment, we obtained regression equation. Its coefficient of determination was 0.918, indicating that the regression equation was predictable. Compared to continuous cutting, if the feed rate increases, the surface roughness will also increase during interrupted cutting.

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참고문헌

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피인용 문헌

  1. Observation of Chip Shape and Tool Damage with Interrupted Cutting of Carbon Steel for Machine Structures(SM20C) vol.17, pp.2, 2018, https://doi.org/10.14775/ksmpe.2018.17.2.103
  2. Surface Roughness Prediction of Interrupted Cutting in SM20C vol.16, pp.6, 2014, https://doi.org/10.17958/ksmt.16.6.201412.2021
  3. 3D 프린팅시스템과 CAM시스템을 활용한 금형가공에 관한 연구 vol.18, pp.6, 2014, https://doi.org/10.9726/kspse.2014.18.6.091
  4. Prediction of Surface Roughness and Electric Current Consumption in Turning Operation using Neural Network with Back Propagation and Particle Swarm Optimization vol.14, pp.3, 2014, https://doi.org/10.14775/ksmpe.2015.14.3.065
  5. 기계구조용 탄소강(SM45C)의 단속절삭 시 절삭력예측을 위한 회귀방정식 도출 vol.15, pp.4, 2014, https://doi.org/10.14775/ksmpe.2016.15.4.040
  6. A Study on the Cutting Force of Carbon Steel for a Machine Structure(SM20C) vol.18, pp.4, 2014, https://doi.org/10.17958/ksmt.18.4.201608.503
  7. Tribological Characteristics and Corrosion Resistance of SM45C for Mechanical Structural Steel vol.23, pp.1, 2014, https://doi.org/10.9726/kspse.2019.23.1.027