Ijraset Journal For Research in Applied Science and Engineering Technology
Authors: Kaithepalli Subrahmanya Sai Sivanandh, Palukuri Veerendra
DOI Link: https://doi.org/10.22214/ijraset.2023.53576
Certificate: View Certificate
: In friction stir welding (FSW), a rotating spherical leg tool is forced to plunge into the plates to be welded and moved along their contact line. The tool penetrates into the work pieces. During this operation, frictional heat that’s generated by contact friction between the tool and work piece. The plasticized material is stirred by the tool and forced to “flow’’ to the side and the reverse of the tool advantage as the temperature cools down, a solid nonstop joint between the two plates is than formed. In this project work, DEFORM -3D is used to perform the finite element analysis and experimental investigation on the FSW in order to predict residual stresses, temperatures, normal stresses and distortion of the welded structures, that are induced during FSW of the given airframe structures made up of AA 2024 and AA 2519. The weld quality characteristics like hardness, and tensile strength properties of the joints are analyzed.
I. INTRODUCTION
Friction Stir Welding is a solid state joining technique, invented at “The Welding Institute”, United Kingdom, in 1991. The Friction Stir Welding is an effective tool used for Joining Difficult-to-weld metals such as aluminium alloys, magnesium alloys, titanium alloys etc, joining plates with different materials and joining plates with different thickness. In the Friction Stir Welding process, a nonconsumable rotating tool is inserted into the abutting edges of the work-piece. The tool is then transverse along the line of joint. The tool is specially designed with a pin and shoulder. The tool serves two primary functions: firstly heating of work piece, secondly, movement of material to produce the joint.
A. Friction Stir Welding Parameters
II. LITERATURE REVIEW
The flow of metal during FSW is investigated using a faying surface tracer and a pin frozen in place during welding. It is shown that the material is transported by two processes [1].
The first is a wiping of material from the advancing front side of the pin onto a zone of material that rotates and advances with the pin. The material undergoes a helical motion within the rotational zone that both rotates, advances, and descends in the wash of the threads on the pin and rises on the outer part of the rotational zone.
After one or more rotations, this material is sloughed off in its wake of the pin, primarily on the advancing side. The second process is an entrainment of material from the front retreating side of the pin that fills in between the sloughed off pieces from the advancing side.
The accurate 3D finite element simulation of the Friction Stir Welding (FSW) process requires a proper knowledge of both material and interface behaviors but friction the key phenomenon of this process, is quite difficult to model and identify. The recent development of more accurate 3D simulation software, which allows modeling the entire complexity of the FSW process, makes it possible to follow a much more rigorous inverse analysis (or calibration) approach. The numerical simulations are based on an Arbitrary Lagrangian Eulerian (ALE) formulation that has been implemented in the Forge-3 F.E. software [2].
The aircraft aluminium alloys generally present low weldability by traditional fusion welding process. The development of the friction stir welding has provided an alternative improved way of satisfactorily producing aluminium joints in a faster and reliable manner.
The influence of process and tool parameters on tensile strength properties of AA7075-T6 joints produced by friction stir welding was analyzed [6].Strength properties of the joints were evaluated and correlated with the micro structure, micro hardness of weld nugget.
III. MATERIAL DESCRIPTION
A. Input Parameters
The objective of this thesis is to predict the Temperature distributions, stresses on an Aluminium Alloys – AA2024 and AA 2519 work piece during the friction stir welding process using a specified threaded tool by numerical simulation.
The different welding parameters used in this project are
Element % |
AA2519 |
AA2024 |
Iron, Fe |
0.3 |
0.5 |
Copper Cu |
6.4 |
3.8-4.9 |
Manganese, Mn |
0.4 |
0.30-0.9 |
Zinc, Zc |
0.1 |
0.25 |
Chromium, Cr |
0.1 |
0.1 |
Titanium, Ti |
0.15 |
0.15 |
Silicon Si |
0.25 |
0.5 |
Nickel Ni |
0.1 |
0-0.1 |
Magnesium Mg |
0.10 |
1.2-1.8 |
Property of Alloys |
AA2519 |
AA2024 |
Density (g/cc) |
2.84 |
2.78 |
Brinell Hardness (BHN) |
125 |
150 |
Tensile strength (MPa) |
310 |
365 |
Ultimate Strength (MPa) |
360 |
410 |
Poisson’s Ratio |
0.33 |
0.33 |
Modulus of Elasticity (GPa) |
73.1 |
73.1 |
Thermal Conductivity(W/mK) |
170 |
121 |
Melting Point (0C) |
500 |
520 |
IV. WORK PIECE GEOMETRY
In this thesis, 6mm thick aluminium 2519 alloy and aluminium 2024 alloy plates are butt welded using Friction Stir welding using the Finite element simulation software DEFORM-3D.
Length of each plate = 150 mm
Width of each plate = 120 mm
Thickness of each plate = 6 mm
For the numerical analysis, as single block approach is used for Friction Stir Welding, the modelling of work piece is done as a single work piece whose configuration is shown in the fig. below
A. FSW Tool
The selection of tool material and tool geometry plays a vital role in the Friction Stir Welding. In this thesis, for Friction Stir Welding of aluminium 2024, 2519 plates, H-13 Steel is used as the tool material. H-13 Steel is chromium, molybdenum, vanadium hot work tool steel which is characterized by high hardenability and excellent toughness. The molybdenum and vanadium act as strengthening agents. The chromium content assists H-13 to resist softening when used at high temperatures. H-13 offers an excellent combination of shock and abrasion resistance, and possesses good red hardness. It is capable of withstanding rapid cooling and resists premature heat checking. H-13 have good machinability, good weldability, good ductility, and can be formed by conventional means.
B. Properties of H-13 Steel
The most commonly used material, easy availability and machinability, thermal fatigue resistance, wear resistance, especially for aluminium and copper.
Property |
Value |
Density (g/cc) |
7.78 |
Brinell Hardness (BHN) |
180 |
Ultimate Tensile strength (MPa) |
1420 – 1810 |
Yield Tensile strength (MPa) |
1280 – 1520 |
Modulus of Elasticity (GPa) |
210 |
Thermal Conductivity (W/((mm K) ) |
0.0243 |
Specific Heat (J / kg K) |
460 |
Element |
% |
Iron, Fe |
90.6 |
Manganese, Mn |
0.40 |
Carbon, C |
0.39 |
Chromium, Cr |
5.20 |
Silicon Si |
1.00 |
Molybdenum, Mo |
1.40 |
Table 4.6 Composition of H-13 Steel Table 4.5 Properties of H-13 Steel
V. SOLUTION METHODOLOGY
The continuous model proposed assumes the sheets to be welded as a single block. This FE model takes into account the actual interaction between the tool and the work piece allow to get a description of the process closer to reality. In particular asymmetric distributions of temperature, strain and strain rate are calculated by such models. CATIA - V5 is one of the modeling software which is used in this thesis to model the tool and work piece
A. Introduction To Deform - 3D
DEFORM-3D is a commercial FEA software which uses Lagrangian implicit code designed for metal forming processes, was used to model the FSW process. The use of an implicit code versus an explicit one is a sort of inescapable choice being the latter better suited in order to correctly predict temperature evolutions and stress states.
DEFORM is a finite element method (FEM) based process simulation system designed to analyze various forming and heat treatment processes used by metal forming and related industries. By simulating manufacturing processes on a computer, this advanced tool allows designers and engineers to:
B. Simulation OF FSW Using Deform - 3D
VII. FUTURE SCOPE
Future research will continue to advance the science of FSW, depending the understanding of the complex physical interactions which underlie a process that emerged first as a technology like.
Expanding the applicability of FSW to a wider range of engineering materials, advancing control techniques for continuous welding and spot welding, and developing novel FSW variants. Further investigations on the forces generated during single and multiple passes for different alloys at different conditions and for different process parameters might be very beneficial.
Further studies may be done, considering most of the welding parameters, on a wider range of values. Fatigue analysis, shear tests can be conducted.
Higher thickness aluminium plates can be welded by employing double sided FSW. One can try to use tools made of different materials to improve the quality of the joints.
As the present weld is of butt joint, there is a scope of extending this work to the lap joints and comparison can be done between these two joints.
The process simulation is done for friction stir welding for various welding parameters namely tool rotational and transverse speeds. The temperatures in the work piece are increasing with the increase in tool rotational speed whereas the temperatures are decreasing with increase in tool traverse or welding speed. The maximum temperatures are recorded at the locations close to the stirred zone and the temperatures go on decreasing with increase in distance from the stirred zone The longitudinal residual stress increased with increasing tool traverse speed, whereas transverse residual stresses did not exhibit evident dependence on the traverse speed. It is noteworthy that residual stress in FSW is low due to lower heat input and Recrystallisation accommodation of stress. Several test samples were welded with various combinations of tool rpm and welding speed for both the tool geometries. However, it was observed that low tool rpm resulted in consistently poor quality of welding. Whereas, best results were obtained with tool rpm of 1340 in conjunction with 11mm/min low weld speed. This happened because of high tool rpm with low weld speed caused severe mechanical stirring of the metal causing reduction in grain size leading to higher strength of the welded joints.
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Copyright © 2023 Kaithepalli Subrahmanya Sai Sivanandh, Palukuri Veerendra. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Paper Id : IJRASET53576
Publish Date : 2023-06-01
ISSN : 2321-9653
Publisher Name : IJRASET
DOI Link : Click Here