The Optimization of Machining Parameters Using the Taguchi Method For Surface Roughness of AISI 8660 Hardened Alloy Steel

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Izvoz citacije: ABNT
MOTORCU, Ali Riza.
The Optimization of Machining Parameters Using the Taguchi Method For Surface Roughness of AISI 8660 Hardened Alloy Steel. 
Strojniški vestnik - Journal of Mechanical Engineering, [S.l.], v. 56, n.6, p. 391-401, october 2017. 
ISSN 0039-2480.
Available at: <https://www.sv-jme.eu/sl/article/the-optimization-of-machining-parameters-using-the-taguchi-method-for-surface-roughness-of-aisi-8660-hardened-alloy-steel/>. Date accessed: 20 sep. 2021. 
doi:http://dx.doi.org/.
Motorcu, A.
(2010).
The Optimization of Machining Parameters Using the Taguchi Method For Surface Roughness of AISI 8660 Hardened Alloy Steel.
Strojniški vestnik - Journal of Mechanical Engineering, 56(6), 391-401.
doi:http://dx.doi.org/
@article{.,
	author = {Ali Riza Motorcu},
	title = {The Optimization of Machining Parameters Using the Taguchi Method For Surface Roughness of AISI 8660 Hardened Alloy Steel},
	journal = {Strojniški vestnik - Journal of Mechanical Engineering},
	volume = {56},
	number = {6},
	year = {2010},
	keywords = {ceramic cutting tools; surface roughness model; Taguchi method; herdened alloy steel; },
	abstract = {The surface roughness in the turning of AISI 8660 hardened alloy steels by ceramic based cutting tools was investigated in terms of main cutting parameters such as cutting speed, feed rate, depth of cut in addition to tool’s nose radius, using a statistical approach. Machining tests were carried out with PVD-coated ceramic cutting tools under different conditions. An orthogonal design, signal-to-noise ratio and analysis of variance were employed to find out the effective cutting parameters and nose radius on the surface roughness. The obtained results indicate that the feed rate was found to be the dominant factor among controllable factors on the surface roughness, followed by depth of cut and tool’s nose radius. However, the cutting speed showed an insignificant effect. Furthermore, the interaction of feed rate/depth of cut was found to be significant on the surface finish due to surface hardening of steel. Optimal testing parameters for surface roughness could be calculated. Moreover, the second order regression model also shows that the predicted values were very close to the experimental one for surface roughness.},
	issn = {0039-2480},	pages = {391-401},	doi = {},
	url = {https://www.sv-jme.eu/sl/article/the-optimization-of-machining-parameters-using-the-taguchi-method-for-surface-roughness-of-aisi-8660-hardened-alloy-steel/}
}
Motorcu, A.
2010 October 56. The Optimization of Machining Parameters Using the Taguchi Method For Surface Roughness of AISI 8660 Hardened Alloy Steel. Strojniški vestnik - Journal of Mechanical Engineering. [Online] 56:6
%A Motorcu, Ali Riza
%D 2010
%T The Optimization of Machining Parameters Using the Taguchi Method For Surface Roughness of AISI 8660 Hardened Alloy Steel
%B 2010
%9 ceramic cutting tools; surface roughness model; Taguchi method; herdened alloy steel; 
%! The Optimization of Machining Parameters Using the Taguchi Method For Surface Roughness of AISI 8660 Hardened Alloy Steel
%K ceramic cutting tools; surface roughness model; Taguchi method; herdened alloy steel; 
%X The surface roughness in the turning of AISI 8660 hardened alloy steels by ceramic based cutting tools was investigated in terms of main cutting parameters such as cutting speed, feed rate, depth of cut in addition to tool’s nose radius, using a statistical approach. Machining tests were carried out with PVD-coated ceramic cutting tools under different conditions. An orthogonal design, signal-to-noise ratio and analysis of variance were employed to find out the effective cutting parameters and nose radius on the surface roughness. The obtained results indicate that the feed rate was found to be the dominant factor among controllable factors on the surface roughness, followed by depth of cut and tool’s nose radius. However, the cutting speed showed an insignificant effect. Furthermore, the interaction of feed rate/depth of cut was found to be significant on the surface finish due to surface hardening of steel. Optimal testing parameters for surface roughness could be calculated. Moreover, the second order regression model also shows that the predicted values were very close to the experimental one for surface roughness.
%U https://www.sv-jme.eu/sl/article/the-optimization-of-machining-parameters-using-the-taguchi-method-for-surface-roughness-of-aisi-8660-hardened-alloy-steel/
%0 Journal Article
%R 
%& 391
%P 11
%J Strojniški vestnik - Journal of Mechanical Engineering
%V 56
%N 6
%@ 0039-2480
%8 2017-10-24
%7 2017-10-24
Motorcu, Ali.
"The Optimization of Machining Parameters Using the Taguchi Method For Surface Roughness of AISI 8660 Hardened Alloy Steel." Strojniški vestnik - Journal of Mechanical Engineering [Online], 56.6 (2010): 391-401. Web.  20 Sep. 2021
TY  - JOUR
AU  - Motorcu, Ali Riza
PY  - 2010
TI  - The Optimization of Machining Parameters Using the Taguchi Method For Surface Roughness of AISI 8660 Hardened Alloy Steel
JF  - Strojniški vestnik - Journal of Mechanical Engineering
DO  - 
KW  - ceramic cutting tools; surface roughness model; Taguchi method; herdened alloy steel; 
N2  - The surface roughness in the turning of AISI 8660 hardened alloy steels by ceramic based cutting tools was investigated in terms of main cutting parameters such as cutting speed, feed rate, depth of cut in addition to tool’s nose radius, using a statistical approach. Machining tests were carried out with PVD-coated ceramic cutting tools under different conditions. An orthogonal design, signal-to-noise ratio and analysis of variance were employed to find out the effective cutting parameters and nose radius on the surface roughness. The obtained results indicate that the feed rate was found to be the dominant factor among controllable factors on the surface roughness, followed by depth of cut and tool’s nose radius. However, the cutting speed showed an insignificant effect. Furthermore, the interaction of feed rate/depth of cut was found to be significant on the surface finish due to surface hardening of steel. Optimal testing parameters for surface roughness could be calculated. Moreover, the second order regression model also shows that the predicted values were very close to the experimental one for surface roughness.
UR  - https://www.sv-jme.eu/sl/article/the-optimization-of-machining-parameters-using-the-taguchi-method-for-surface-roughness-of-aisi-8660-hardened-alloy-steel/
@article{{}{.},
	author = {Motorcu, A.},
	title = {The Optimization of Machining Parameters Using the Taguchi Method For Surface Roughness of AISI 8660 Hardened Alloy Steel},
	journal = {Strojniški vestnik - Journal of Mechanical Engineering},
	volume = {56},
	number = {6},
	year = {2010},
	doi = {},
	url = {https://www.sv-jme.eu/sl/article/the-optimization-of-machining-parameters-using-the-taguchi-method-for-surface-roughness-of-aisi-8660-hardened-alloy-steel/}
}
TY  - JOUR
AU  - Motorcu, Ali Riza
PY  - 2017/10/24
TI  - The Optimization of Machining Parameters Using the Taguchi Method For Surface Roughness of AISI 8660 Hardened Alloy Steel
JF  - Strojniški vestnik - Journal of Mechanical Engineering; Vol 56, No 6 (2010): Strojniški vestnik - Journal of Mechanical Engineering
DO  - 
KW  - ceramic cutting tools, surface roughness model, Taguchi method, herdened alloy steel, 
N2  - The surface roughness in the turning of AISI 8660 hardened alloy steels by ceramic based cutting tools was investigated in terms of main cutting parameters such as cutting speed, feed rate, depth of cut in addition to tool’s nose radius, using a statistical approach. Machining tests were carried out with PVD-coated ceramic cutting tools under different conditions. An orthogonal design, signal-to-noise ratio and analysis of variance were employed to find out the effective cutting parameters and nose radius on the surface roughness. The obtained results indicate that the feed rate was found to be the dominant factor among controllable factors on the surface roughness, followed by depth of cut and tool’s nose radius. However, the cutting speed showed an insignificant effect. Furthermore, the interaction of feed rate/depth of cut was found to be significant on the surface finish due to surface hardening of steel. Optimal testing parameters for surface roughness could be calculated. Moreover, the second order regression model also shows that the predicted values were very close to the experimental one for surface roughness.
UR  - https://www.sv-jme.eu/sl/article/the-optimization-of-machining-parameters-using-the-taguchi-method-for-surface-roughness-of-aisi-8660-hardened-alloy-steel/
Motorcu, Ali"The Optimization of Machining Parameters Using the Taguchi Method For Surface Roughness of AISI 8660 Hardened Alloy Steel" Strojniški vestnik - Journal of Mechanical Engineering [Online], Volume 56 Number 6 (24 October 2017)

Avtorji

Inštitucije

  • Çanakkale Vocational College, Çanakkale Onsekiz Mart University, Turkey

Informacije o papirju

Strojniški vestnik - Journal of Mechanical Engineering 56(2010)6, 391-401

The surface roughness in the turning of AISI 8660 hardened alloy steels by ceramic based cutting tools was investigated in terms of main cutting parameters such as cutting speed, feed rate, depth of cut in addition to tool’s nose radius, using a statistical approach. Machining tests were carried out with PVD-coated ceramic cutting tools under different conditions. An orthogonal design, signal-to-noise ratio and analysis of variance were employed to find out the effective cutting parameters and nose radius on the surface roughness. The obtained results indicate that the feed rate was found to be the dominant factor among controllable factors on the surface roughness, followed by depth of cut and tool’s nose radius. However, the cutting speed showed an insignificant effect. Furthermore, the interaction of feed rate/depth of cut was found to be significant on the surface finish due to surface hardening of steel. Optimal testing parameters for surface roughness could be calculated. Moreover, the second order regression model also shows that the predicted values were very close to the experimental one for surface roughness.

ceramic cutting tools; surface roughness model; Taguchi method; herdened alloy steel;