Experimental Investigation of Material Flow and Welding Defects in Friction Stir Welding of Aluminum to Brass

2012 ◽  
Vol 27 (12) ◽  
pp. 1402-1408 ◽  
Author(s):  
A. Esmaeili ◽  
M. K. Besharati Givi ◽  
H. R. Zareie Rajani
Keyword(s):  
Experimental Investigation ◽  
Friction Stir Welding ◽  
Material Flow ◽  
Friction Stir ◽  
Welding Defects

scholarly journals The Influence of Pre-Heating on the Weldability of Pure Copper by FSW

2014 ◽  
Vol 8 (1) ◽  
pp. 177-184 ◽  
Author(s):  
Pierpaolo Carlone ◽  
Gaetano S. Palazzo
Keyword(s):  
Experimental Investigation ◽  
Friction Stir Welding ◽  
Material Flow ◽  
Initial Temperature ◽  
Pure Copper ◽  
Tensile Tests ◽  
Butt Joint ◽  
Joint Configuration ◽  
Friction Stir ◽  
Backing Plate

This paper deals with an experimental investigation on the friction stir welding of pure copper. 4 mm thick copper plates have been welded in the butt joint configuration using a conical unthreaded tool, with and without preheating. An electrically heated backing plate has been employed to increase the initial temperature of the plates and to investigate the influence of pre-heating on the weld ability of the considered material. The welded joints have been analyzed by means of macroscopic and microscopic observations, microhardness measurements and tensile tests. Obtained outcomes suggest that more complex pin shape is needed to promote an adequate material flow without preheating.

Thermo-Mechanical Modelling of Friction Stir Welding Process

2013 ◽  
Vol 774-776 ◽  
pp. 1155-1159 ◽  
Author(s):  
Xiao Cong He
Keyword(s):  
Finite Element Analysis ◽  
Friction Stir Welding ◽  
Mechanical Behaviour ◽  
Material Flow ◽  
Welding Process ◽  
Element Analysis ◽  
Friction Stir ◽  
Mechanical Modelling ◽  
Major Factors ◽  
Realistic Prediction

Friction stir welding (FSW) is a solid-state welding process where no gross melting of the material being welded takes place. Numerical modelling of the FSW process can provide realistic prediction of the thermo-mechanical behaviour of the process. Latest literature relating to finite element analysis (FEA) of thermo-mechanical behaviour of FSW process is reviewed in this paper. The recent development in thermo-mechanical modelling of FSW process is described with particular reference to two major factors that influence the performance of FSW joints: material flow and temperature distribution. The main thermo-mechanical modelling used in FSW process are discussed and illustrated with brief case studies from the literature.

Grain Structure Formation Ahead of Tool during Friction Stir Welding of AZ31 Magnesium Alloy

2010 ◽  
Vol 160 ◽  
pp. 313-318 ◽  
Author(s):  
Uceu Suhuddin ◽  
Sergey Mironov ◽  
H. Takahashi ◽  
Yutaka S. Sato ◽  
Hiroyuki Kokawa ◽  
...  
Keyword(s):  
Friction Stir Welding ◽  
Magnesium Alloy ◽  
Structure Formation ◽  
Material Flow ◽  
Boundary Migration ◽  
Deformation Mode ◽  
Grain Structure ◽  
Az31 Magnesium Alloy ◽  
Structure Evolution ◽  
Friction Stir

The “stop-action” technique was employed to study grain structure evolution during friction-stir welding of AZ31 magnesium alloy. The grain structure formation was found to be mainly governed by the combination of the continuous and discontinuous recrystallization but also involved geometric effect of strain and local grain boundary migration. Orientation measurements showed that the deformation mode was very close to the simple shear associated with the rotating pin and material flow arose mainly from basal slip.

Influence of Tool Geometry and Contact Condition on Friction Stir Welding of Al-Cu Laminated Composites

2013 ◽  
Vol 856 ◽  
pp. 16-21
Author(s):  
R. Beygi ◽  
Mohsen Kazeminezhad ◽  
A.H. Kokabi ◽  
S. Mohammad Javad Alvani ◽  
D. Verdera ◽  
...  
Keyword(s):  
Friction Stir Welding ◽  
Material Flow ◽  
Laminated Composites ◽  
Flow Behavior ◽  
Tool Geometry ◽  
Contact Conditions ◽  
Friction Stir ◽  
Tool Geometries ◽  
Welding Procedure ◽  
Sem Analyses

In this study friction stir welding of Al-Cu laminated composites were carried out by two different tool geometries. Welding procedure was carried out from both sides of Al and Cu. Analyzing cross section of welds showed that different contact conditions between shoulder and material, offers different material flow behavior which is dependent on the tool geometry. SEM analyses showed that mixing of materials in nugget region is more pronounced in the advancing side. Also XRD results indicated that welding from Cu side, leads to intermetallic formation in mixed regions.

Prediction of Surface Profile in Friction Stir Welding Using Coupled Eulerian and Lagrangian Method

2020 ◽  
Author(s):  
Debtanay Das ◽  
Swarup Bag ◽  
Sukhomay Pal ◽  
M. Ruhul Amin
Keyword(s):  
Friction Stir Welding ◽  
Surface Morphology ◽  
Process Parameters ◽  
Chip Formation ◽  
Material Flow ◽  
Defect Formation ◽  
Current Model ◽  
Surface Profile ◽  
Green Technology ◽  
Friction Stir

Abstract Friction stir welding (FSW) is widely accepted by industry because of multiple advantages such as low-temperature process, green technology, and capable of producing good quality weld joints. Extensive research has been conducted to understand the physical process and material flow during FSW. The published works mainly discussed the effects of various process parameters on temperature distribution and microstructure formation. There are few works on the prediction of defect formation from a physics-based model. However, these models ignore chip formation or surface morphology and material loss during the FSW process. In the present work, a fully coupled 3D thermo-mechanical model is developed to predict the chip formation and surface morphology during welding. The effects of various process parameters on surface morphology are also studied using the current model. Coupled Eulerian-Lagrangian (CEL) technique is used to model the FSW process using a commercial software ABAQUS. The model is validated by comparing the results in published literature. The current model is capable of predicting the material flow out of the workpiece and thus enables the visualization of the chip formation. The developed model can extensively be used to predict the surface quality of the friction stir welded joints.

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