Laser material processing is extensively used by numerous industries because the flexibility and cleanliness provided, but still with the advantages, is a complex process due the parameters that participate and interact. To overcome this issue, is essential to clearly understand the influence that exerts the parameters on the characteristics of the product. In this paper the main process parameters that take part in mold making using laser machining are analyzed, such as: laser intensity, scanning speed and pulse frequency; experiments are carried in an Nd:YAG laser system using 7010 aluminum alloy as experimentation material. Taguchi method and ANOVA are used as means of statistical analysis to determine the influence of the process parameters on product characteristics such as: dimensional precision and superficial quality.

1.
Yousef
,
B.F.
,
Knopf
,
G.K.
,
Bordatchev
,
E.V.
&
Nikumb
,
S.K.
(
2003
)
Neural network modeling and analysis of the material removal process during laser machining
”.
International Journal Of Advanced Manufacturing Technology
,
22
,
41
53
.
2.
Tam
,
S.C.
,
Lim
,
L.E.N.
&
Quek
,
K.Y.
(
1992
)
Application Of Taguchi Methods In The Optimization Of The Laser-Cutting Process
”.
Journal Of Materials Processing Technology
,
29
,
63
74
.
3.
Tam
,
S.C.
,
Yeo
,
C.Y.
,
Jana
,
S.
,
Lau
,
M.W.S.
,
Lim
,
L.E.N.
,
Yang
,
L.J.
&
Noor
,
Y.M.
(
1993
)
Optimization Of Laser Deep-Hole Drilling Of Inconel 718 Using The Taguchi Method
”.
Journal Of Materials Processing Technology
,
37
,
741
757
.
4.
Yip
,
W.M.
,
Man
,
H.C.
&
Ip
,
W.H.
(
1999
)
Optimization of Nd-YAG laser welding of super duplex stainless steel by parameter design
”.
Science And Technology Of Welding And Joining
,
4
,
226
232
.
5.
Jovic
,
F.
,
Rajkovic
,
V.
,
Lugomer
,
S.
&
Stipancic
,
M.
(
2000
)
Precision of quality prediction in laser welding
”.
Lasers In Engineering
,
10
,
193
212
.
6.
Casalino
,
G.
,
Curcio
,
F.
&
Minutolo
,
F.M.C.
(
2005
)
Investigation on Ti6Al4V laser welding using statistical and Taguchi approaches
”.
Journal Of Materials Processing Technology
,
167
,
422
428
.
7.
Pan
,
L.K.
,
Wang
,
C.C.
,
Hsiao
,
Y.C.
&
Ho
,
K.C.
(
2005
)
Optimization of Nd: YAG laser welding onto magnesium alloy via Taguchi analysis
”.
Optics And Laser Technology
,
37
,
33
42
.
8.
Lee
,
H.K.
,
Han
,
H.S.
,
Son
,
K.J.
&
Hong
,
S.B.
(
2006
)
Optimization of Nd: YAG laser welding parameters for sealing small titanium tube ends
”.
Materials Science And Engineering A-Structural Materials Properties Microstructure And Processing
,
415
,
149
155
.
9.
Chen
,
S.L.
&
Shen
,
D.
(
1999
)
Optimization and quantitative evaluation of the qualities for Nd-YAG laser transformation hardening
”.
International Journal Of Advanced Manufacturing Technology
,
15
,
70
78
.
10.
Arias
,
G.
,
Ciurana
,
J.
,
Planta
,
X.
&
Crehuet
,
A.
(
2007
)
Analyzing process parameters that influence laser machining of hardened steel using Taguchi Method
. in
Proceedings of SAMPE. 2007
.
Baltimore, USA: Society of the Advancement of Material and Process Engineering
11.
Chang
,
C.W.
&
Kuo
,
C.P.
(
2007
)
Evaluation of surface roughness in laser-assisted machining of aluminum oxide ceramics with Taguchi method
”.
International Journal Of Machine Tools & Manufacture
,
47
,
141
147
.
12.
Ross
,
P.J.
(
1996
)
Taguchi Techniques for Quality Engineering
,
McGraw-Hill
.
329
pp.
13.
MINITAB
(
2005
) Meet Minitab 14, MINITAB.
This content is only available via PDF.
You do not currently have access to this content.