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

2020 ◽  
Vol 66 (6) ◽  
pp. 395-407 ◽  
Author(s):  
p Sevvel ◽  
S.D. Dhanesh Babu ◽  
R. Senthil Kumar
Keyword(s):  
Experimental Investigation ◽  
Temperature Distribution ◽  
Quadratic Equation ◽  
Peak Temperature ◽  
Mg Alloy ◽  
Element Analysis ◽  
Temperature Correlation ◽  
Friction Stir ◽  
Az80a Mg Alloy ◽  
Experimental Values

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.

Analysis of Temperature Distribution in Rotating Arc Welding

2012 ◽  
Vol 472-475 ◽  
pp. 1346-1352 ◽  
Author(s):  
Qiang Bai ◽  
Ning Guo ◽  
Yan Fei Han ◽  
Jing Zhang ◽  
Mei Rong Wang
Keyword(s):  
Temperature Distribution ◽  
Arc Welding ◽  
Three Dimensional ◽  
Welding Process ◽  
Peripheral Region ◽  
Peak Temperature ◽  
Element Analysis ◽  
Analysis Computer ◽  
Rotating Arc ◽  
Arc Welding Process

Mathematical model of heat source in rotating arc welding (RAW) process was developed for investigating the heat and temperature distribution. The effect of rotating parameters on the temperature field in complex welding motion trajectory was studied. In this work, a transient three-dimensional (3D) model was established and computed by a finite element analysis computer program MARC as well as its subroutine. Comparing with non-rotating arc (NRAW) process, the width of temperature distribution enlarges, and the peak temperature of weld pool decreases. The effect of the rotating arc process becomes more and more significant with the increasing of rotating radius. In the weld center, the peak temperature increases with the rotating frequency. But in peripheral region of the weld, when rotating frequency is lower than 10 Hz, the peak temperature increases firstly and then decreases with the increasing of the rotating frequency. It is contradictory with the traditional view. Good agreement is shown between the computed results and experimental results of thermal circle in rotating arc welding process.

Influence of tool rotational speed on microstructural characteristics of dissimilar Mg alloys during friction stir welding

2019 ◽  
Vol 43 (1) ◽  
pp. 132-141 ◽  
Author(s):  
P. Sevvel ◽  
C. Satheesh ◽  
V. Jaiganesh
Keyword(s):  
Friction Stir Welding ◽  
Heat Affected Zone ◽  
Rotational Speed ◽  
Mg Alloy ◽  
Tool Rotational Speed ◽  
Microstructural Characteristics ◽  
Friction Stir ◽  
Dissimilar Friction Stir Welding ◽  
Speed Range ◽  
Az80a Mg Alloy

Dissimilar friction stir welding of the AZ80A Mg alloy as the advancing side and the AZ91C Mg alloy as the retreating side was carried out at a constant feed rate of 75 mm/min using a taper cylindrical pin profiled tool at different tool rotational speeds. Defect free welds were produced in the 700–900 rpm rotational speed range. During friction stir welding, extrusion of metal took place in the advancing side and this extruded material was dynamically recrystallized and redeposited on the retreating side. This experimental investigation revealed that friction stir welding leads to the formation of comparatively finer sized grains on the retreating side of the thermo-mechanically affected zone compared to grains in the thermo-mechanically affected zone on the advancing side. Moreover, the heat affected zone of AZ80A possessed fine sized grains compared to the heat affected zone of AZ91C. Additionally, increasing tool rotational speed influenced the tensile strength of the fabricated joints.

Analysis of Temperature Distribution on Warm Forming of Aluminum-Magnesium Alloy

2011 ◽  
Vol 264-265 ◽  
pp. 329-336 ◽  
Author(s):  
Fahrettin Ozturk ◽  
Mehmet A. Arslan
Keyword(s):  
Finite Element Analysis ◽  
Finite Element ◽  
Temperature Distribution ◽  
Magnesium Alloy ◽  
Room Temperature ◽  
Initial Temperature ◽  
Warm Forming ◽  
Mg Alloy ◽  
Element Analysis ◽  
Aluminum Magnesium Alloy

In this study, a temperature distribution of 5083-O aluminum-magnesium (Al-Mg) alloy is analyzed at various die and blank initial temperature conditions using finite element analysis approach. Temperature distribution results of the blank reveal that the dies must be heated to predetermined temperatures for successful warm forming, even the blank is kept at room temperature.

SIMULATION ANALYSIS OF PEAK TEMPERATURE IN WELD ZONES DURING FRICTION STIR PROCESS

2015 ◽  
Vol 76 (8) ◽  
Author(s):  
M. Shamil Jaffarullah ◽  
Nur’Amirah Busu ◽  
Cheng Yee Low ◽  
J. B. Saedon ◽  
Armansyah Armansyah ◽  
...  
Keyword(s):  
Friction Stir Welding ◽  
Temperature Distribution ◽  
Rotational Speed ◽  
Simulation Analysis ◽  
Welding Process ◽  
Element Model ◽  
Traverse Speed ◽  
Peak Temperature ◽  
Friction Stir Process ◽  
Friction Stir

A three-dimensional (3D) finite element model was created to simulate the friction stir welding process of 6063-T5 aluminum alloy. The analysis studies the fundamental knowledge of FSW process with respect to temperature difference in material to be joined and to simulate the temperature distribution in the workpiece as a result of a Friction Stir Welding. The simulation uses HyperMesh and HyperView solver from Altair Hyperworks.  The simulation provides better understanding for the peak temperature distribution in the friction stir process. Two cases have (i) constant traverse speed, but varying been simulated rotational speed, and (ii) constant rotational speed, but varying traverse speeds. Simulation results show the peak temperatures increased when the traverse and rotational speeds were increased.

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