VASANTHA KUMAR, Karutha Pandian ;BALASUBRAMANIAN, Muthusamy . Optimization of FSW Processing Factors on Hardness for Dissimilar AA6061-T6 and AZ31B O Alloys. Strojniški vestnik - Journal of Mechanical Engineering, [S.l.], v. 68, n.3, p. 166-174, march 2022. ISSN 0039-2480. Available at: <https://www.sv-jme.eu/article/optimization-of-fsw-processing-factors-on-hardness-for-dissimilar-aa6061-t6-and-az31b-o-alloys/>. Date accessed: 19 nov. 2024. doi:http://dx.doi.org/10.5545/sv-jme.2021.7316.
Vasantha Kumar, K., & Balasubramanian, M. (2022). Optimization of FSW Processing Factors on Hardness for Dissimilar AA6061-T6 and AZ31B O Alloys. Strojniški vestnik - Journal of Mechanical Engineering, 68(3), 166-174. doi:http://dx.doi.org/10.5545/sv-jme.2021.7316
@article{sv-jmesv-jme.2021.7316,
author = {Karutha Pandian Vasantha Kumar and Muthusamy Balasubramanian},
title = {Optimization of FSW Processing Factors on Hardness for Dissimilar AA6061-T6 and AZ31B O Alloys},
journal = {Strojniški vestnik - Journal of Mechanical Engineering},
volume = {68},
number = {3},
year = {2022},
keywords = {dissimilar friction stir welding; aluminium alloy AA6061; magnesium alloys AZ31B; FSW; RSM; ANOVA; },
abstract = {In modern industries, such as aerospace, automotive, marine and others, aluminium and magnesium alloys are the most frequently used non-ferrous materials. This paper discusses optimising processing factors to produce a high hardness of dissimilar Al/Mg alloys. The experiment was designed and conducted by varying input factors according to response surface methodology-central composite design. The regression model has been developed between the processing factor and hardness based on the results of the experiment. ANOVA is used to validate the regression model and to assess the percentage of each hardness factor’s contribution. Finally, the desirability approach is used to optimise the processing factor for high hardness.},
issn = {0039-2480}, pages = {166-174}, doi = {10.5545/sv-jme.2021.7316},
url = {https://www.sv-jme.eu/article/optimization-of-fsw-processing-factors-on-hardness-for-dissimilar-aa6061-t6-and-az31b-o-alloys/}
}
Vasantha Kumar, K.,Balasubramanian, M. 2022 March 68. Optimization of FSW Processing Factors on Hardness for Dissimilar AA6061-T6 and AZ31B O Alloys. Strojniški vestnik - Journal of Mechanical Engineering. [Online] 68:3
%A Vasantha Kumar, Karutha Pandian %A Balasubramanian, Muthusamy %D 2022 %T Optimization of FSW Processing Factors on Hardness for Dissimilar AA6061-T6 and AZ31B O Alloys %B 2022 %9 dissimilar friction stir welding; aluminium alloy AA6061; magnesium alloys AZ31B; FSW; RSM; ANOVA; %! Optimization of FSW Processing Factors on Hardness for Dissimilar AA6061-T6 and AZ31B O Alloys %K dissimilar friction stir welding; aluminium alloy AA6061; magnesium alloys AZ31B; FSW; RSM; ANOVA; %X In modern industries, such as aerospace, automotive, marine and others, aluminium and magnesium alloys are the most frequently used non-ferrous materials. This paper discusses optimising processing factors to produce a high hardness of dissimilar Al/Mg alloys. The experiment was designed and conducted by varying input factors according to response surface methodology-central composite design. The regression model has been developed between the processing factor and hardness based on the results of the experiment. ANOVA is used to validate the regression model and to assess the percentage of each hardness factor’s contribution. Finally, the desirability approach is used to optimise the processing factor for high hardness. %U https://www.sv-jme.eu/article/optimization-of-fsw-processing-factors-on-hardness-for-dissimilar-aa6061-t6-and-az31b-o-alloys/ %0 Journal Article %R 10.5545/sv-jme.2021.7316 %& 166 %P 9 %J Strojniški vestnik - Journal of Mechanical Engineering %V 68 %N 3 %@ 0039-2480 %8 2022-03-09 %7 2022-03-09
Vasantha Kumar, Karutha Pandian, & Muthusamy Balasubramanian. "Optimization of FSW Processing Factors on Hardness for Dissimilar AA6061-T6 and AZ31B O Alloys." Strojniški vestnik - Journal of Mechanical Engineering [Online], 68.3 (2022): 166-174. Web. 19 Nov. 2024
TY - JOUR AU - Vasantha Kumar, Karutha Pandian AU - Balasubramanian, Muthusamy PY - 2022 TI - Optimization of FSW Processing Factors on Hardness for Dissimilar AA6061-T6 and AZ31B O Alloys JF - Strojniški vestnik - Journal of Mechanical Engineering DO - 10.5545/sv-jme.2021.7316 KW - dissimilar friction stir welding; aluminium alloy AA6061; magnesium alloys AZ31B; FSW; RSM; ANOVA; N2 - In modern industries, such as aerospace, automotive, marine and others, aluminium and magnesium alloys are the most frequently used non-ferrous materials. This paper discusses optimising processing factors to produce a high hardness of dissimilar Al/Mg alloys. The experiment was designed and conducted by varying input factors according to response surface methodology-central composite design. The regression model has been developed between the processing factor and hardness based on the results of the experiment. ANOVA is used to validate the regression model and to assess the percentage of each hardness factor’s contribution. Finally, the desirability approach is used to optimise the processing factor for high hardness. UR - https://www.sv-jme.eu/article/optimization-of-fsw-processing-factors-on-hardness-for-dissimilar-aa6061-t6-and-az31b-o-alloys/
@article{{sv-jme}{sv-jme.2021.7316},
author = { Vasantha Kumar, K., Balasubramanian, M.},
title = {Optimization of FSW Processing Factors on Hardness for Dissimilar AA6061-T6 and AZ31B O Alloys},
journal = {Strojniški vestnik - Journal of Mechanical Engineering},
volume = {68},
number = {3},
year = {2022},
doi = {10.5545/sv-jme.2021.7316},
url = {https://www.sv-jme.eu/article/optimization-of-fsw-processing-factors-on-hardness-for-dissimilar-aa6061-t6-and-az31b-o-alloys/}
}
TY - JOUR AU - Vasantha Kumar, Karutha Pandian AU - Balasubramanian, Muthusamy PY - 2022/03/09 TI - Optimization of FSW Processing Factors on Hardness for Dissimilar AA6061-T6 and AZ31B O Alloys JF - Strojniški vestnik - Journal of Mechanical Engineering; Vol 68, No 3 (2022): Strojniški vestnik - Journal of Mechanical Engineering DO - 10.5545/sv-jme.2021.7316 KW - dissimilar friction stir welding, aluminium alloy AA6061, magnesium alloys AZ31B, FSW, RSM, ANOVA, N2 - In modern industries, such as aerospace, automotive, marine and others, aluminium and magnesium alloys are the most frequently used non-ferrous materials. This paper discusses optimising processing factors to produce a high hardness of dissimilar Al/Mg alloys. The experiment was designed and conducted by varying input factors according to response surface methodology-central composite design. The regression model has been developed between the processing factor and hardness based on the results of the experiment. ANOVA is used to validate the regression model and to assess the percentage of each hardness factor’s contribution. Finally, the desirability approach is used to optimise the processing factor for high hardness. UR - https://www.sv-jme.eu/article/optimization-of-fsw-processing-factors-on-hardness-for-dissimilar-aa6061-t6-and-az31b-o-alloys/
Vasantha Kumar, Karutha Pandian, AND Balasubramanian, Muthusamy. "Optimization of FSW Processing Factors on Hardness for Dissimilar AA6061-T6 and AZ31B O Alloys" Strojniški vestnik - Journal of Mechanical Engineering [Online], Volume 68 Number 3 (09 March 2022)
Strojniški vestnik - Journal of Mechanical Engineering 68(2022)3, 166-174
© The Authors 2022. CC BY 4.0 Int.
In modern industries, such as aerospace, automotive, marine and others, aluminium and magnesium alloys are the most frequently used non-ferrous materials. This paper discusses optimising processing factors to produce a high hardness of dissimilar Al/Mg alloys. The experiment was designed and conducted by varying input factors according to response surface methodology-central composite design. The regression model has been developed between the processing factor and hardness based on the results of the experiment. ANOVA is used to validate the regression model and to assess the percentage of each hardness factor’s contribution. Finally, the desirability approach is used to optimise the processing factor for high hardness.