DUNG, Hoang Tien;NGUYEN, Nhu-Tung ;QUY, Tran Duc;THIEN, Nguyen Van. Cutting Forces and Surface Roughness in Face-Milling of SKD61 Hard Steel. Strojniški vestnik - Journal of Mechanical Engineering, [S.l.], v. 65, n.6, p. 375-385, july 2019. ISSN 0039-2480. Available at: <https://www.sv-jme.eu/sl/article/study-on-cutting-forces-and-surface-roughness-in-face-milling-of-hard-steel-skd61/>. Date accessed: 20 dec. 2024. doi:http://dx.doi.org/10.5545/sv-jme.2019.6057.
Dung, H., Nguyen, N., Quy, T., & Thien, N. (2019). Cutting Forces and Surface Roughness in Face-Milling of SKD61 Hard Steel. Strojniški vestnik - Journal of Mechanical Engineering, 65(6), 375-385. doi:http://dx.doi.org/10.5545/sv-jme.2019.6057
@article{sv-jmesv-jme.2019.6057,
author = {Hoang Tien Dung and Nhu-Tung Nguyen and Tran Duc Quy and Nguyen Van Thien},
title = {Cutting Forces and Surface Roughness in Face-Milling of SKD61 Hard Steel},
journal = {Strojniški vestnik - Journal of Mechanical Engineering},
volume = {65},
number = {6},
year = {2019},
keywords = {surface roughness, cutting force, Taguchi method, ANOVA method, SKD61},
abstract = {This experimental study investigated the effects of milling conditions on cutting forces and finished surface roughness. The face-milling processes were performed using heat-treated SKD61 steel at a hardness of 46 HRC. With three controllable factors/levels (cutting speed, axial depth of cut, and feed rate), the most suitable orthogonal array L27 was performed with four performance measurements that are amplitudes of cutting forces in three directions (feed, normal, and axial) and surface roughness. With ANOVA analysis, the effect of cutting conditions on the amplitudes of cutting forces and surface roughness were analysed and modelled. The most suitable regression of the cutting force’s amplitudes and surface roughness was a quadratic regression with the confidence level is more than 93.74 %, and they were successfully verified via experimental results with very promising results. The relationship between cutting force and surface roughness was also investigated. Furthermore, using the Taguchi and ANOVA methods, the optimization process of surface roughness was performed with very close results (different of surface roughness about 4.58 %). The approach method of the present study can be applied in industrial machining to improve the surface quality in finish face-milling the SKD61 hard steel.},
issn = {0039-2480}, pages = {375-385}, doi = {10.5545/sv-jme.2019.6057},
url = {https://www.sv-jme.eu/sl/article/study-on-cutting-forces-and-surface-roughness-in-face-milling-of-hard-steel-skd61/}
}
Dung, H.,Nguyen, N.,Quy, T.,Thien, N. 2019 July 65. Cutting Forces and Surface Roughness in Face-Milling of SKD61 Hard Steel. Strojniški vestnik - Journal of Mechanical Engineering. [Online] 65:6
%A Dung, Hoang Tien %A Nguyen, Nhu-Tung %A Quy, Tran Duc %A Thien, Nguyen Van %D 2019 %T Cutting Forces and Surface Roughness in Face-Milling of SKD61 Hard Steel %B 2019 %9 surface roughness, cutting force, Taguchi method, ANOVA method, SKD61 %! Cutting Forces and Surface Roughness in Face-Milling of SKD61 Hard Steel %K surface roughness, cutting force, Taguchi method, ANOVA method, SKD61 %X This experimental study investigated the effects of milling conditions on cutting forces and finished surface roughness. The face-milling processes were performed using heat-treated SKD61 steel at a hardness of 46 HRC. With three controllable factors/levels (cutting speed, axial depth of cut, and feed rate), the most suitable orthogonal array L27 was performed with four performance measurements that are amplitudes of cutting forces in three directions (feed, normal, and axial) and surface roughness. With ANOVA analysis, the effect of cutting conditions on the amplitudes of cutting forces and surface roughness were analysed and modelled. The most suitable regression of the cutting force’s amplitudes and surface roughness was a quadratic regression with the confidence level is more than 93.74 %, and they were successfully verified via experimental results with very promising results. The relationship between cutting force and surface roughness was also investigated. Furthermore, using the Taguchi and ANOVA methods, the optimization process of surface roughness was performed with very close results (different of surface roughness about 4.58 %). The approach method of the present study can be applied in industrial machining to improve the surface quality in finish face-milling the SKD61 hard steel. %U https://www.sv-jme.eu/sl/article/study-on-cutting-forces-and-surface-roughness-in-face-milling-of-hard-steel-skd61/ %0 Journal Article %R 10.5545/sv-jme.2019.6057 %& 375 %P 11 %J Strojniški vestnik - Journal of Mechanical Engineering %V 65 %N 6 %@ 0039-2480 %8 2019-07-03 %7 2019-07-03
Dung, Hoang, Nhu-Tung Nguyen, Tran Duc Quy, & Nguyen Van Thien. "Cutting Forces and Surface Roughness in Face-Milling of SKD61 Hard Steel." Strojniški vestnik - Journal of Mechanical Engineering [Online], 65.6 (2019): 375-385. Web. 20 Dec. 2024
TY - JOUR AU - Dung, Hoang Tien AU - Nguyen, Nhu-Tung AU - Quy, Tran Duc AU - Thien, Nguyen Van PY - 2019 TI - Cutting Forces and Surface Roughness in Face-Milling of SKD61 Hard Steel JF - Strojniški vestnik - Journal of Mechanical Engineering DO - 10.5545/sv-jme.2019.6057 KW - surface roughness, cutting force, Taguchi method, ANOVA method, SKD61 N2 - This experimental study investigated the effects of milling conditions on cutting forces and finished surface roughness. The face-milling processes were performed using heat-treated SKD61 steel at a hardness of 46 HRC. With three controllable factors/levels (cutting speed, axial depth of cut, and feed rate), the most suitable orthogonal array L27 was performed with four performance measurements that are amplitudes of cutting forces in three directions (feed, normal, and axial) and surface roughness. With ANOVA analysis, the effect of cutting conditions on the amplitudes of cutting forces and surface roughness were analysed and modelled. The most suitable regression of the cutting force’s amplitudes and surface roughness was a quadratic regression with the confidence level is more than 93.74 %, and they were successfully verified via experimental results with very promising results. The relationship between cutting force and surface roughness was also investigated. Furthermore, using the Taguchi and ANOVA methods, the optimization process of surface roughness was performed with very close results (different of surface roughness about 4.58 %). The approach method of the present study can be applied in industrial machining to improve the surface quality in finish face-milling the SKD61 hard steel. UR - https://www.sv-jme.eu/sl/article/study-on-cutting-forces-and-surface-roughness-in-face-milling-of-hard-steel-skd61/
@article{{sv-jme}{sv-jme.2019.6057},
author = {Dung, H., Nguyen, N., Quy, T., Thien, N.},
title = {Cutting Forces and Surface Roughness in Face-Milling of SKD61 Hard Steel},
journal = {Strojniški vestnik - Journal of Mechanical Engineering},
volume = {65},
number = {6},
year = {2019},
doi = {10.5545/sv-jme.2019.6057},
url = {https://www.sv-jme.eu/sl/article/study-on-cutting-forces-and-surface-roughness-in-face-milling-of-hard-steel-skd61/}
}
TY - JOUR AU - Dung, Hoang Tien AU - Nguyen, Nhu-Tung AU - Quy, Tran Duc AU - Thien, Nguyen Van PY - 2019/07/03 TI - Cutting Forces and Surface Roughness in Face-Milling of SKD61 Hard Steel JF - Strojniški vestnik - Journal of Mechanical Engineering; Vol 65, No 6 (2019): Strojniški vestnik - Journal of Mechanical Engineering DO - 10.5545/sv-jme.2019.6057 KW - surface roughness, cutting force, Taguchi method, ANOVA method, SKD61 N2 - This experimental study investigated the effects of milling conditions on cutting forces and finished surface roughness. The face-milling processes were performed using heat-treated SKD61 steel at a hardness of 46 HRC. With three controllable factors/levels (cutting speed, axial depth of cut, and feed rate), the most suitable orthogonal array L27 was performed with four performance measurements that are amplitudes of cutting forces in three directions (feed, normal, and axial) and surface roughness. With ANOVA analysis, the effect of cutting conditions on the amplitudes of cutting forces and surface roughness were analysed and modelled. The most suitable regression of the cutting force’s amplitudes and surface roughness was a quadratic regression with the confidence level is more than 93.74 %, and they were successfully verified via experimental results with very promising results. The relationship between cutting force and surface roughness was also investigated. Furthermore, using the Taguchi and ANOVA methods, the optimization process of surface roughness was performed with very close results (different of surface roughness about 4.58 %). The approach method of the present study can be applied in industrial machining to improve the surface quality in finish face-milling the SKD61 hard steel. UR - https://www.sv-jme.eu/sl/article/study-on-cutting-forces-and-surface-roughness-in-face-milling-of-hard-steel-skd61/
Dung, Hoang, Nguyen, Nhu-Tung, Quy, Tran, AND Thien, Nguyen. "Cutting Forces and Surface Roughness in Face-Milling of SKD61 Hard Steel" Strojniški vestnik - Journal of Mechanical Engineering [Online], Volume 65 Number 6 (03 July 2019)
Strojniški vestnik - Journal of Mechanical Engineering 65(2019)6, 375-385
© The Authors, CC-BY 4.0 Int. Change in copyright policy from 2022, Jan 1st.
This experimental study investigated the effects of milling conditions on cutting forces and finished surface roughness. The face-milling processes were performed using heat-treated SKD61 steel at a hardness of 46 HRC. With three controllable factors/levels (cutting speed, axial depth of cut, and feed rate), the most suitable orthogonal array L27 was performed with four performance measurements that are amplitudes of cutting forces in three directions (feed, normal, and axial) and surface roughness. With ANOVA analysis, the effect of cutting conditions on the amplitudes of cutting forces and surface roughness were analysed and modelled. The most suitable regression of the cutting force’s amplitudes and surface roughness was a quadratic regression with the confidence level is more than 93.74 %, and they were successfully verified via experimental results with very promising results. The relationship between cutting force and surface roughness was also investigated. Furthermore, using the Taguchi and ANOVA methods, the optimization process of surface roughness was performed with very close results (different of surface roughness about 4.58 %). The approach method of the present study can be applied in industrial machining to improve the surface quality in finish face-milling the SKD61 hard steel.