Abstract

Laser welding is a common technique for joining metals in many manufacturing industries. During welding, a weld gun traverses the interface of the parts to be joined causing them to melt, fuse, and solidify when the temperature decreases, thus joining the parts. Due to the heat input and the resulting melting and solidification, the parts deform causing residual distortion and residual stresses. To assure the geometrical and functional quality of the product, computational welding mechanics (CWM) is often employed in the design phase to predict the outcome of different design proposals. Furthermore, CWM can be used to design the welding process with the objective of assuring the quality of the weld. However, welding is a complex multiphysical process including the weld pool flow, microstructure dynamics, and structural mechanics. In a design process, it is typically not feasible, for example, to employ fluid simulation of the weld pool in order to predict deformation of a welded assembly, especially if a set of design proposals is under investigation. This is because of the high resolution needed for these fluid simulations in combination with challenges to couple fluid simulation with structural simulation. Instead, what is used is a heat source that emulates the heat input from the melt pool. An example of a heat source is the standard doubled ellipsoid. This heat source has been efficiently used for a large number of welding simulation. However, standard heat sources are typically not flexible enough to capture the fusion zone for deep keyhole mode laser welding. In this study, we presented a new heat source model for keyhole mode laser welding. In an industrial case study, a number of bead-on-plate welds have been employed to compare standard weld heat sources and develop the new heat source model. The proposed heat source is based on a combination of standard heat sources. From this study, it was concluded that the standard heat sources could not predict the observed melted zone for certain industrial application while the new heat source was able to do so. Therefore, the proposed heat source model can be employed to model keyhole mode laser welding, which enables welding simulation of a set of design proposals during the design process in a larger number of industrial cases.

References

1.
Phadke
,
M. S.
,
1995
,
Quality Engineering Using Robust Design
,
Prentice Hall PTR
,
Englewood Cliffs, NJ
.
2.
Runnemalm
,
H.
,
Tersing
,
H.
, and
Isaksson
,
O.
,
2009
, “
Virtual Manufacturing of Light Weight Aero Engine Components
,”
International Symposium on Air Breathing Engines
,
Montreal, Canada
,
Sept. 10–11
, pp.
170
176
.
3.
Choudhury
,
B.
, and
Chandrasekaran
,
M.
,
2017
, “
Investigation on Welding Characteristics of Aerospace Materials—A Review
,”
Mater. Today: Proc.
,
4
(
8
), pp.
7519
7526
.
4.
Chaturvedi
,
M.
,
2011
,
Welding and Joining of Aerospace Materials
,
Elsevier
,
Philadelphia, PA
.
5.
Lindgren
,
L.-E.
,
2014
,
Computational Welding Mechanics
,
Elsevier
,
Cambridge, UK
.
6.
Goldak
,
J. A.
, and
Akhlaghi
,
M.
,
2006
,
Computational Welding Mechanics
,
Springer
,
New York
.
7.
Rykaline
,
N.
,
1976
, “
Energy Sources for Welding
,”
Rev. de Soldadura
,
6
(
3
), pp.
125
140
.
8.
Rosenthal
,
D.
,
1946
, “
The Theory of Moving Sources of Heat and Its Application of Metal Treatments
,”
Trans. ASME
,
68
, pp.
849
866
.
9.
Gu
,
M.
,
Goldak
,
J.
, and
Bibby
,
M.
,
1991
, “
Computational Heat Transfer in Welds With Complex Weld Pool Shapes
,”
Adv. Manufact. Eng.
,
3
(
1
), pp.
31
36
.
10.
Tsirkas
,
S.
,
Papanikos
,
P.
, and
Kermanidis
,
T.
,
2003
, “
Numerical Simulation of the Laser Welding Process in Butt-Joint Specimens
,”
J. Mater. Proc ess. Technol.
,
134
(
1
), pp.
59
69
.
11.
Flint
,
T.
,
Francis
,
J.
,
Smith
,
M.
, and
Balakrishnan
,
J.
,
2017
, “
Extension of the Double-Ellipsoidal Heat Source Model to Narrow-Groove and Keyhole Weld Configurations
,”
J. Mater. Process. Technol.
,
246
, pp.
123
135
.
12.
Wu
,
C.
,
Wang
,
H.
, and
Zhang
,
Y.
,
2006
, “
A New Heat Source Model for Keyhole Plasma Arc Welding in FEM Analysis of the Temperature Profile
,”
Welding J.-New york-
,
85
(
12
), p.
284
.
13.
Kazemi
,
K.
, and
Goldak
,
J. A.
,
2009
, “
Numerical Simulation of Laser Full Penetration Welding
,”
Comput. Mater. Sci.
,
44
(
3
), pp.
841
849
.
14.
Dhondt
,
G.
,
2004
,
The Finite Element Method for Three-Dimensional Thermomechanical Applications
,
John Wiley & Sons
,
New York
.
15.
Pavelic
,
V.
,
Tanbakuchi
,
R.
,
Uyehara
,
O.
, and
Myers
,
P.
,
1969
, “
Experimental and Computed Temperature Histories in Gas Tungsten-Arc Welding of Thin Plates
,”
Weld. J.
,
48
(
7
), p.
295
.
16.
Schwalbach
,
E. J.
,
Donegan
,
S. P.
,
Chapman
,
M. G.
,
Chaput
,
K. J.
, and
Groeber
,
M. A.
,
2019
, “
A Discrete Source Model of Powder Bed Fusion Additive Manufacturing Thermal History
,”
Addit. Manuf.
,
25
, pp.
485
498
.
17.
Huang
,
Y.
,
Khamesee
,
M. B.
, and
Toyserkani
,
E.
,
2016
, “
A Comprehensive Analytical Model for Laser Powder-Fed Additive Manufacturing
,”
Addit. Manuf.
,
12
, pp.
90
99
.
18.
Paley
,
Z.
, and
Hibbert
,
P.
,
1975
, “
Computation of Temperatures in Actual Weld Designs
,”
Weld. J.
,
54
(
11
), pp.
385s
392s
.
19.
Westby
,
O.
,
1968
,
Temperature Distribution in the Work Piece by Welding
,
Marine Technology Centre
,
Trondheim, Norway
.
20.
Lankalapalli
,
K. N.
,
Tu
,
J. F.
, and
Gartner
,
M.
,
1996
, “
A Model for Estimating Penetration Depth of Laser Welding Processes
,”
J. Phys. D: Appl. Phys.
,
29
(
7
), p.
1831
.
21.
Williams
,
K.
,
1999
, “
Development of Laser Welding Theory With Correlation to Experimental Welding Data
,”
Lasers Eng.(UK)
,
8
(
3
), pp.
197
214
.
22.
Mwema
,
F. M.
,
2017
, “
Transient Thermal Modeling in Laser Welding of Metallic/Nonmetallic Joints Using Solidworks® Software
,”
Int. J. Nonferrous Metal.
,
6
(
01
), p.
1
.
23.
Ferro
,
P.
,
Zambon
,
A.
, and
Bonollo
,
F.
,
2005
, “
Investigation of Electron-Beam Welding in Wrought Inconel 706–experimental and Numerical Analysis
,”
Mater. Sci. Eng. A.
,
392
(
1–2
), pp.
94
105
.
24.
Madrid
,
J.
,
Lorin
,
S.
,
Söderberg
,
R.
,
Hammersberg
,
P.
,
Wärmefjord
,
K.
, and
Lööf
,
J.
,
2019
, “
A Virtual Design of Experiments Method to Evaluate the Effect of Design and Welding Parameters on Weld Quality in Aerospace Applications
,”
Aerospace
,
6
(
6
), p.
74
.
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