Experimental Identification of Optimized Process Parameters for FSW of AZ91C Mg Alloy Using Quadratic Regression Models

C, Satheesh ;P, Sevvel ;R, Senthil Kumar .
Experimental Identification of Optimized Process Parameters for FSW of AZ91C Mg Alloy Using Quadratic Regression Models. 
Strojniški vestnik - Journal of Mechanical Engineering, [S.l.], v. 66, n.12, p. 736-751, december 2020. 
ISSN 0039-2480.
Available at: <https://www.sv-jme.eu/article/experimental-identification-of-optimized-process-parameters-for-fsw-of-az91c-mg-alloy-using-quadratic-regression-models/>. Date accessed: 19 nov. 2024. 
doi:http://dx.doi.org/10.5545/sv-jme.2020.6929.

C, S., P, S., & R, S.
(2020).
Experimental Identification of Optimized Process Parameters for FSW of AZ91C Mg Alloy Using Quadratic Regression Models.
Strojniški vestnik - Journal of Mechanical Engineering, 66(12), 736-751.
doi:http://dx.doi.org/10.5545/sv-jme.2020.6929

@article{sv-jmesv-jme.2020.6929,
	author = {Satheesh  C and Sevvel  P and Senthil Kumar  R},
	title = {Experimental Identification of Optimized Process Parameters for FSW of AZ91C Mg Alloy Using Quadratic Regression Models},
	journal = {Strojniški vestnik - Journal of Mechanical Engineering},
	volume = {66},
	number = {12},
	year = {2020},
	keywords = {AZ91C Mg alloy; quadratic regression model; friction stir welding; tool pin geometry; tool rotational speed; ultimate tensile strength; tool traversing speed; axial force},
	abstract = {This experimental work aims to devise and establish quadratic regression equations, including various input criteria of a friction stir welding (FSW) technique to predict and determine the responses during the fabrication of AZ91C Mg alloy joints. The input process parameters taken into consideration include the traversing speed of the tool, the speed of rotation of the tool, its pin profile (geometry) and the axial force. A five-level, 4 four-factor composite design (of central nature) was applied, and response surface methodology (RSM) was used to formulate quadratic regression models, to develop 3D response surface charts, and to anticipate the responses for various mechanical properties. The generated quadratic mathematical model was tested and validated using the technique of analysis of variance. Validation experimental trial results outlined in the form of scatter diagrams revealed precedented coincidence with that of the generated models. The AZ91C Mg alloy joints obtained using the tool having taper cylindrical pin geometry employed at 1045 rpm, 1.5 mm/s traversing speed, under the exertion of an axial load of 4.87 kN was found to exhibit improved mechanical properties.},
	issn = {0039-2480},	pages = {736-751},	doi = {10.5545/sv-jme.2020.6929},
	url = {https://www.sv-jme.eu/article/experimental-identification-of-optimized-process-parameters-for-fsw-of-az91c-mg-alloy-using-quadratic-regression-models/}
}

C, S.,P, S.,R, S.
2020 December 66. Experimental Identification of Optimized Process Parameters for FSW of AZ91C Mg Alloy Using Quadratic Regression Models. Strojniški vestnik - Journal of Mechanical Engineering. [Online] 66:12

%A C, Satheesh 
%A P, Sevvel 
%A R, Senthil Kumar 
%D 2020
%T Experimental Identification of Optimized Process Parameters for FSW of AZ91C Mg Alloy Using Quadratic Regression Models
%B 2020
%9 AZ91C Mg alloy; quadratic regression model; friction stir welding; tool pin geometry; tool rotational speed; ultimate tensile strength; tool traversing speed; axial force
%! Experimental Identification of Optimized Process Parameters for FSW of AZ91C Mg Alloy Using Quadratic Regression Models
%K AZ91C Mg alloy; quadratic regression model; friction stir welding; tool pin geometry; tool rotational speed; ultimate tensile strength; tool traversing speed; axial force
%X This experimental work aims to devise and establish quadratic regression equations, including various input criteria of a friction stir welding (FSW) technique to predict and determine the responses during the fabrication of AZ91C Mg alloy joints. The input process parameters taken into consideration include the traversing speed of the tool, the speed of rotation of the tool, its pin profile (geometry) and the axial force. A five-level, 4 four-factor composite design (of central nature) was applied, and response surface methodology (RSM) was used to formulate quadratic regression models, to develop 3D response surface charts, and to anticipate the responses for various mechanical properties. The generated quadratic mathematical model was tested and validated using the technique of analysis of variance. Validation experimental trial results outlined in the form of scatter diagrams revealed precedented coincidence with that of the generated models. The AZ91C Mg alloy joints obtained using the tool having taper cylindrical pin geometry employed at 1045 rpm, 1.5 mm/s traversing speed, under the exertion of an axial load of 4.87 kN was found to exhibit improved mechanical properties.
%U https://www.sv-jme.eu/article/experimental-identification-of-optimized-process-parameters-for-fsw-of-az91c-mg-alloy-using-quadratic-regression-models/
%0 Journal Article
%R 10.5545/sv-jme.2020.6929
%& 736
%P 16
%J Strojniški vestnik - Journal of Mechanical Engineering
%V 66
%N 12
%@ 0039-2480
%8 2020-12-23
%7 2020-12-23

C, Satheesh, Sevvel  P, & Senthil Kumar  R.
"Experimental Identification of Optimized Process Parameters for FSW of AZ91C Mg Alloy Using Quadratic Regression Models." Strojniški vestnik - Journal of Mechanical Engineering [Online], 66.12 (2020): 736-751. Web.  19 Nov. 2024

TY  - JOUR
AU  - C, Satheesh 
AU  - P, Sevvel 
AU  - R, Senthil Kumar 
PY  - 2020
TI  - Experimental Identification of Optimized Process Parameters for FSW of AZ91C Mg Alloy Using Quadratic Regression Models
JF  - Strojniški vestnik - Journal of Mechanical Engineering
DO  - 10.5545/sv-jme.2020.6929
KW  - AZ91C Mg alloy; quadratic regression model; friction stir welding; tool pin geometry; tool rotational speed; ultimate tensile strength; tool traversing speed; axial force
N2  - This experimental work aims to devise and establish quadratic regression equations, including various input criteria of a friction stir welding (FSW) technique to predict and determine the responses during the fabrication of AZ91C Mg alloy joints. The input process parameters taken into consideration include the traversing speed of the tool, the speed of rotation of the tool, its pin profile (geometry) and the axial force. A five-level, 4 four-factor composite design (of central nature) was applied, and response surface methodology (RSM) was used to formulate quadratic regression models, to develop 3D response surface charts, and to anticipate the responses for various mechanical properties. The generated quadratic mathematical model was tested and validated using the technique of analysis of variance. Validation experimental trial results outlined in the form of scatter diagrams revealed precedented coincidence with that of the generated models. The AZ91C Mg alloy joints obtained using the tool having taper cylindrical pin geometry employed at 1045 rpm, 1.5 mm/s traversing speed, under the exertion of an axial load of 4.87 kN was found to exhibit improved mechanical properties.
UR  - https://www.sv-jme.eu/article/experimental-identification-of-optimized-process-parameters-for-fsw-of-az91c-mg-alloy-using-quadratic-regression-models/

@article{{sv-jme}{sv-jme.2020.6929},
	author = {C, S., P, S., R, S.},
	title = {Experimental Identification of Optimized Process Parameters for FSW of AZ91C Mg Alloy Using Quadratic Regression Models},
	journal = {Strojniški vestnik - Journal of Mechanical Engineering},
	volume = {66},
	number = {12},
	year = {2020},
	doi = {10.5545/sv-jme.2020.6929},
	url = {https://www.sv-jme.eu/article/experimental-identification-of-optimized-process-parameters-for-fsw-of-az91c-mg-alloy-using-quadratic-regression-models/}
}

TY  - JOUR
AU  - C, Satheesh 
AU  - P, Sevvel 
AU  - R, Senthil Kumar 
PY  - 2020/12/23
TI  - Experimental Identification of Optimized Process Parameters for FSW of AZ91C Mg Alloy Using Quadratic Regression Models
JF  - Strojniški vestnik - Journal of Mechanical Engineering; Vol 66, No 12 (2020): Strojniški vestnik - Journal of Mechanical Engineering
DO  - 10.5545/sv-jme.2020.6929
KW  - AZ91C Mg alloy, quadratic regression model, friction stir welding, tool pin geometry, tool rotational speed, ultimate tensile strength, tool traversing speed, axial force
N2  - This experimental work aims to devise and establish quadratic regression equations, including various input criteria of a friction stir welding (FSW) technique to predict and determine the responses during the fabrication of AZ91C Mg alloy joints. The input process parameters taken into consideration include the traversing speed of the tool, the speed of rotation of the tool, its pin profile (geometry) and the axial force. A five-level, 4 four-factor composite design (of central nature) was applied, and response surface methodology (RSM) was used to formulate quadratic regression models, to develop 3D response surface charts, and to anticipate the responses for various mechanical properties. The generated quadratic mathematical model was tested and validated using the technique of analysis of variance. Validation experimental trial results outlined in the form of scatter diagrams revealed precedented coincidence with that of the generated models. The AZ91C Mg alloy joints obtained using the tool having taper cylindrical pin geometry employed at 1045 rpm, 1.5 mm/s traversing speed, under the exertion of an axial load of 4.87 kN was found to exhibit improved mechanical properties.
UR  - https://www.sv-jme.eu/article/experimental-identification-of-optimized-process-parameters-for-fsw-of-az91c-mg-alloy-using-quadratic-regression-models/

C, Satheesh, P, Sevvel, AND R, Senthil Kumar.
"Experimental Identification of Optimized Process Parameters for FSW of AZ91C Mg Alloy Using Quadratic Regression Models" Strojniški vestnik - Journal of Mechanical Engineering [Online], Volume 66 Number 12 (23 December 2020)