Peak Temperature Correlation and Temperature Distribution during Joining of AZ80A Mg Alloy by FSW – A Numerical and Experimental Investigation

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SEVVEL, P ;DHANESH BABU, S.D. ;SENTHIL KUMAR, R. .
Peak Temperature Correlation and Temperature Distribution during Joining of AZ80A Mg Alloy by FSW – A Numerical and Experimental Investigation. 
Strojniški vestnik - Journal of Mechanical Engineering, [S.l.], v. 66, n.6, p. 395-407, june 2020. 
ISSN 0039-2480.
Available at: <https://www.sv-jme.eu/sl/article/peak-temperature-correlation-and-temperature-distribution-during-joining-of-az80a-mg-alloy-by-fsw-a-numerical-and-experimental-investigation/>. Date accessed: 28 feb. 2021. 
doi:http://dx.doi.org/10.5545/sv-jme.2020.6566.
Sevvel, P., Dhanesh Babu, S., & Senthil Kumar, R.
(2020).
Peak Temperature Correlation and Temperature Distribution during Joining of AZ80A Mg Alloy by FSW – A Numerical and Experimental Investigation.
Strojniški vestnik - Journal of Mechanical Engineering, 66(6), 395-407.
doi:http://dx.doi.org/10.5545/sv-jme.2020.6566
@article{sv-jmesv-jme.2020.6566,
	author = {P  Sevvel and S.D.  Dhanesh Babu and R.  Senthil Kumar},
	title = {Peak Temperature Correlation and Temperature Distribution during Joining of AZ80A Mg Alloy by FSW – A Numerical and Experimental Investigation},
	journal = {Strojniški vestnik - Journal of Mechanical Engineering},
	volume = {66},
	number = {6},
	year = {2020},
	keywords = {peak temperature; AZ80A Mg alloy; process parameter; friction stir welding; tool pin profile},
	abstract = {A quadratic equation has been developed based on experimental measurements to estimate the peak temperature in the friction stir welding (FSW) process during the joining of AZ80A Mg alloys. The numerical simulation of the FSW process was performed by employing COMSOL software to predict and calculate the distribution of temperature on the various regions of the parent metal and the welded joints. The predicted and finite element analysis (FEA) simulating the results of the distribution of peak temperatures were found to be consistent with the experimental values. In addition to this, a parametric experimental investigation was conducted to identify the most influential process parameter that plays a significant role in the peak temperature distribution during FSW of AZ80A Mg alloy. Linear contributions by the input process parameters of FSW, namely, traversing speed, rotating tool speed and axial force on the peak temperature were observed to be 32.82 %, 41.65 % and 21.76 %, respectively.},
	issn = {0039-2480},	pages = {395-407},	doi = {10.5545/sv-jme.2020.6566},
	url = {https://www.sv-jme.eu/sl/article/peak-temperature-correlation-and-temperature-distribution-during-joining-of-az80a-mg-alloy-by-fsw-a-numerical-and-experimental-investigation/}
}
Sevvel, P.,Dhanesh Babu, S.,Senthil Kumar, R.
2020 June 66. Peak Temperature Correlation and Temperature Distribution during Joining of AZ80A Mg Alloy by FSW – A Numerical and Experimental Investigation. Strojniški vestnik - Journal of Mechanical Engineering. [Online] 66:6
%A Sevvel, P 
%A Dhanesh Babu, S.D. 
%A Senthil Kumar, R. 
%D 2020
%T Peak Temperature Correlation and Temperature Distribution during Joining of AZ80A Mg Alloy by FSW – A Numerical and Experimental Investigation
%B 2020
%9 peak temperature; AZ80A Mg alloy; process parameter; friction stir welding; tool pin profile
%! Peak Temperature Correlation and Temperature Distribution during Joining of AZ80A Mg Alloy by FSW – A Numerical and Experimental Investigation
%K peak temperature; AZ80A Mg alloy; process parameter; friction stir welding; tool pin profile
%X A quadratic equation has been developed based on experimental measurements to estimate the peak temperature in the friction stir welding (FSW) process during the joining of AZ80A Mg alloys. The numerical simulation of the FSW process was performed by employing COMSOL software to predict and calculate the distribution of temperature on the various regions of the parent metal and the welded joints. The predicted and finite element analysis (FEA) simulating the results of the distribution of peak temperatures were found to be consistent with the experimental values. In addition to this, a parametric experimental investigation was conducted to identify the most influential process parameter that plays a significant role in the peak temperature distribution during FSW of AZ80A Mg alloy. Linear contributions by the input process parameters of FSW, namely, traversing speed, rotating tool speed and axial force on the peak temperature were observed to be 32.82 %, 41.65 % and 21.76 %, respectively.
%U https://www.sv-jme.eu/sl/article/peak-temperature-correlation-and-temperature-distribution-during-joining-of-az80a-mg-alloy-by-fsw-a-numerical-and-experimental-investigation/
%0 Journal Article
%R 10.5545/sv-jme.2020.6566
%& 395
%P 13
%J Strojniški vestnik - Journal of Mechanical Engineering
%V 66
%N 6
%@ 0039-2480
%8 2020-06-17
%7 2020-06-17
Sevvel, P, S.D.  Dhanesh Babu, & R.  Senthil Kumar.
"Peak Temperature Correlation and Temperature Distribution during Joining of AZ80A Mg Alloy by FSW – A Numerical and Experimental Investigation." Strojniški vestnik - Journal of Mechanical Engineering [Online], 66.6 (2020): 395-407. Web.  28 Feb. 2021
TY  - JOUR
AU  - Sevvel, P 
AU  - Dhanesh Babu, S.D. 
AU  - Senthil Kumar, R. 
PY  - 2020
TI  - Peak Temperature Correlation and Temperature Distribution during Joining of AZ80A Mg Alloy by FSW – A Numerical and Experimental Investigation
JF  - Strojniški vestnik - Journal of Mechanical Engineering
DO  - 10.5545/sv-jme.2020.6566
KW  - peak temperature; AZ80A Mg alloy; process parameter; friction stir welding; tool pin profile
N2  - A quadratic equation has been developed based on experimental measurements to estimate the peak temperature in the friction stir welding (FSW) process during the joining of AZ80A Mg alloys. The numerical simulation of the FSW process was performed by employing COMSOL software to predict and calculate the distribution of temperature on the various regions of the parent metal and the welded joints. The predicted and finite element analysis (FEA) simulating the results of the distribution of peak temperatures were found to be consistent with the experimental values. In addition to this, a parametric experimental investigation was conducted to identify the most influential process parameter that plays a significant role in the peak temperature distribution during FSW of AZ80A Mg alloy. Linear contributions by the input process parameters of FSW, namely, traversing speed, rotating tool speed and axial force on the peak temperature were observed to be 32.82 %, 41.65 % and 21.76 %, respectively.
UR  - https://www.sv-jme.eu/sl/article/peak-temperature-correlation-and-temperature-distribution-during-joining-of-az80a-mg-alloy-by-fsw-a-numerical-and-experimental-investigation/
@article{{sv-jme}{sv-jme.2020.6566},
	author = {Sevvel, P., Dhanesh Babu, S., Senthil Kumar, R.},
	title = {Peak Temperature Correlation and Temperature Distribution during Joining of AZ80A Mg Alloy by FSW – A Numerical and Experimental Investigation},
	journal = {Strojniški vestnik - Journal of Mechanical Engineering},
	volume = {66},
	number = {6},
	year = {2020},
	doi = {10.5545/sv-jme.2020.6566},
	url = {https://www.sv-jme.eu/sl/article/peak-temperature-correlation-and-temperature-distribution-during-joining-of-az80a-mg-alloy-by-fsw-a-numerical-and-experimental-investigation/}
}
TY  - JOUR
AU  - Sevvel, P 
AU  - Dhanesh Babu, S.D. 
AU  - Senthil Kumar, R. 
PY  - 2020/06/17
TI  - Peak Temperature Correlation and Temperature Distribution during Joining of AZ80A Mg Alloy by FSW – A Numerical and Experimental Investigation
JF  - Strojniški vestnik - Journal of Mechanical Engineering; Vol 66, No 6 (2020): Strojniški vestnik - Journal of Mechanical Engineering
DO  - 10.5545/sv-jme.2020.6566
KW  - peak temperature, AZ80A Mg alloy, process parameter, friction stir welding, tool pin profile
N2  - A quadratic equation has been developed based on experimental measurements to estimate the peak temperature in the friction stir welding (FSW) process during the joining of AZ80A Mg alloys. The numerical simulation of the FSW process was performed by employing COMSOL software to predict and calculate the distribution of temperature on the various regions of the parent metal and the welded joints. The predicted and finite element analysis (FEA) simulating the results of the distribution of peak temperatures were found to be consistent with the experimental values. In addition to this, a parametric experimental investigation was conducted to identify the most influential process parameter that plays a significant role in the peak temperature distribution during FSW of AZ80A Mg alloy. Linear contributions by the input process parameters of FSW, namely, traversing speed, rotating tool speed and axial force on the peak temperature were observed to be 32.82 %, 41.65 % and 21.76 %, respectively.
UR  - https://www.sv-jme.eu/sl/article/peak-temperature-correlation-and-temperature-distribution-during-joining-of-az80a-mg-alloy-by-fsw-a-numerical-and-experimental-investigation/
Sevvel, P, Dhanesh Babu, S.D., AND Senthil Kumar, R..
"Peak Temperature Correlation and Temperature Distribution during Joining of AZ80A Mg Alloy by FSW – A Numerical and Experimental Investigation" Strojniški vestnik - Journal of Mechanical Engineering [Online], Volume 66 Number 6 (17 June 2020)

Avtorji

Inštitucije

  • S.A. Engineering College, Department of Mechanical Engineering, India 1
  • St. Joseph College of Engineering, Department of Mechanical Engineering, India 2

Informacije o papirju

Strojniški vestnik - Journal of Mechanical Engineering 66(2020)6, 395-407

https://doi.org/10.5545/sv-jme.2020.6566

A quadratic equation has been developed based on experimental measurements to estimate the peak temperature in the friction stir welding (FSW) process during the joining of AZ80A Mg alloys. The numerical simulation of the FSW process was performed by employing COMSOL software to predict and calculate the distribution of temperature on the various regions of the parent metal and the welded joints. The predicted and finite element analysis (FEA) simulating the results of the distribution of peak temperatures were found to be consistent with the experimental values. In addition to this, a parametric experimental investigation was conducted to identify the most influential process parameter that plays a significant role in the peak temperature distribution during FSW of AZ80A Mg alloy. Linear contributions by the input process parameters of FSW, namely, traversing speed, rotating tool speed and axial force on the peak temperature were observed to be 32.82 %, 41.65 % and 21.76 %, respectively.

peak temperature; AZ80A Mg alloy; process parameter; friction stir welding; tool pin profile