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IJSRD - International Journal for Scientific Research & Development| Vol. 1, Issue 4, 2013 | ISSN (online): 2321-0613
All rights reserved by www.ijsrd.com 1037
Abstract— Selective Laser Melting (SLM) is an emerging,
fast growing rapid prototyping (RP) technology due to its
ability to build functional parts having complex geometrical
shape in reasonable time period. The quality of built parts
highly depends on many process variables in selective laser
melting. In this study, three important SLM process
parameters such as layer thickness, orientation angle and
scan speed are considered. Their influence on tensile
strength of test specimen is studied. Margining Steel having
grade 1.2709 was the material, commercially named
CL50WS, which is used for fabricate Tensile Specimen in
SLM. The experiments are conducted based on Taguchi’s L8
orthogonal array. The validity of process parameter and
response is tested by using analysis of variance (ANOVA).
The multi linear regression model is developed in order to
predict Tensile strength of test specimen. The experimental
data and data obtained by regression equation is closely
correlated which validated the models. The layer thickness
and scan speed is highly affect the quality of SLM fabricated
parts whereas orientation angle have little important.
Keywords: Selective Laser Melting (SLM), Rapid Prototype
Technology (RPT), Taguchi Method, ANOVA, Tensile
Strength and Regression Analysis
I. INTRODUCTION
Reduction of product development cycle time is a major
concern in industries to remain competitive in the market
place and hence, focus of industries has shifted from
traditional product development Methodology to rapid
fabrication techniques like rapid proto typing (RP). Selective
Laser Melting (SLM) is an emerging powder based additive
layer manufacturing technology that used to fabricate three-
dimensional fully functional parts from metal powders by
fusing the material in a layer by layer manner as per a CAD
model. Selective Laser Melting (SLM) is gaining distinct
advantage in manufacturing industries because of its ability
to manufacture parts with complex shapes without any
tooling Requirement and less human interface. Selective
laser melting rapid prototype machine consist an Nd: YAG
laser to melt the thin layer of powder. The laser head is
attached to the x, y table controlled by a computer. A steel
substrate is attached to the piston, which moves down one
layer thickness of 0.05 or 0.1 mm (z direction) or as per
requirement. The process is carried out in a closed chamber
and argon is flushed continuously in order to minimize
oxygen and nitrogen pick-up. SLM developed at the
Fraunhofer Institute for Laser Technology ILT in Germany,
so called basic ILT SLM.
The parts are fabricated from metal powders on a
substrate so the initial step is to preheat the work surface
(substrate) with help of the Nd:YAG laser after this first thin
layer of powder is spread equally over the work surface.
The powder on the substrate is selectively melted by energy
of high intensity laser beam according to the sliced CAD
model. When the laser melting of the spread layer is done
the substrate plate is lowered, and new powder is deposited
on top of the first layer. This new layer is selectively
melted, and the layers (approximately 50μm) are
metallurgic ally bonded. The final component is thus built
of many single layers. At last part is removed from work.
Produced parts have density about 100%, and the
mechanical properties can even beat conventional
manufacturing processes such as die-casting.
II. LITERATURE REVIEW
Literature reveals that properties of SLM fabricated parts
are function of various process related parameters and can
be significantly improved with proper adjustment. It will
give the information about different optimization techniques
used to process parameters optimization of SLM Machine
and also suggest the main process parameters that affect the
quality of SLM produced parts. It also provides the
information about the different methods which are used for
experimental design and prediction purpose. There are
different methods of optimization of process parameter like
factorial design, Taguchi method, central composite design,
response surface methodology etc. From these different
methods of optimization, Taguchi approach is more
powerful technique. Currently high quality of the parts with
low cost and in shorter time period is the demands from the
users. This is the big challenge so it is necessary to optimize
the process parameter of respective machines
III. METHODOLOGY
A. Design of experiment (Taguchi method):
Taguchi method is used for Design of Experiment. Full
factorial design of experiments would require a large no. of
runs; Hence Taguchi based design of experiment method
was implemented. In Taguchi method Orthogonal Array
provides a set of well-balanced experiments, and Taguchi’s
signal-to-noise. (S/N) ratios, which are logarithmic functions
of the desired output, serve as objective functions for
optimization. It helps to learn the whole parameter space
with a minimum experimental runs. Taguchi replaces the
full factorial experiments with a lean, less expensive and
less time consuming method concern to manufacturing.
Experimental Investigation of Process Parameter on Tensile Strength of
Selective Laser Melting Built Parts
Rajnikant B. Rathod1
R. I. Patel2
B. D. Parmar3
1
ME Student 2
Associate Professor 3
Assistant Professor
1, 2, 3
Department of Mechanical Engineering
1, 2, 3
GEC, Dahod (GTU, Ahmadabad)
Experimental Investigation of Process Parameter on Tensile Strength of Selective Laser Melting Built Parts
(IJSRD/Vol. 1/Issue 4/ 2013/0054)
All rights reserved by www.ijsrd.com 1038
B. Analysis Of Variance (ANOVA):
Analysis of Variance (ANOVA) is a powerful analysing
tool to identify which are the most significant factors. It
calculates variations about mean ANOVA results for the
each response. Based on F-value (Significance factor value)
important parameters can be identified. ANOVA Table
obtained by MiniTab15 software. ANOVA Table contains
Degree of freedom (DF), Sum of Squares (SS), Mean
squares (MS), Significant Factor ratio (F-Ratio) and
Probability (P).
IV. EXPERINENT
Experiment work carried out in M1 laser cusing Selective
Laser Melting Machine at Indo-German Tool Room, Vatva.
Fig. 1: SLM Machine
Three important SLM process parameters such as
layer thickness, orientation angle and scan speed are
considered. Their influence on tensile strength of test
specimen is studied. Margining Steel having grade 1.2709
was the material, commercially named CL50WS, which is
used for fabricate Tensile Specimen in SLM.
Component Indicative value (%)
Fe Balance
C ≤ 0.03
Si ≤ 0.10
Mn ≤ 0.15
P,S ≤ 0.010
Cr ≤ 0.25
Mo 4.50 – 5.20
Ni 17.0 – 19.0
Ti 0.80 – 1.20
Co 8.50 – 10.0
Table.1 Chemical Composition
The factors and their levels used in experimental work are
shown in table.2.
Process parameter Unit Level 1 Level 2
Layer thickness µm 0.03 0.04
Scan speed mm/sec 500 600
Orientation angle degree 0 90
Table. 2: Control factors and their level
The number of experiment run is eight based on Taguchi’s
L8 orthogonal array that is produced in Minitab software.
Sr. No.
Layer
thickness
Scan speed
Orientation
angle
1 0.03 500 0
2 0.03 500 90
5 0.03 600 0
4 0.03 600 90
³ 0.04 500 0
6 0.04 500 90
7 0.04 600 0
8 0.04 600 90
Table.3: Taguchi’s L8 orthogonal array
Specimen detail
Standard test specimen for tensile test as per ASTM E 8 is
designed using pro-e software. Tensile test specimens
having dimensions 100 mm x 10 mm x 5mm
(Length*Width*Thickness) are prepared. Now control
factor listed in table 1 is set as per experimental plan shown
in table 2. Total 8 numbers of tensile parts are fabricated
with the same material using concept laser SLM machine.
The mean of the reading of tensile strength is taken to be
repetitive value.
Fig. 2: Specimen for experiment
V. RESULTS AND ANALYSIS
After conducting experiment, the tensile strength of the
specimens is measured at Divine Laboratory Services at
Ahmedabad. The testing results are shown in table.4.
Sr. No.
Layer
thickness
Scan speed
Orie.
angle
Tensile Strength
1 0.03 500 0 1188
2 0.03 500 90 1176
3 0.03 600 0 1150
4 0.03 600 90 1139
5 0.04 500 0 1129
6 0.04 500 90 1122
7 0.04 600 0 1106
8 0.04 600 90 1097
Table. 4: Results of Tensile strength
The experimental Result is analyzed in Minitab Software for
effect of all factors on tensile strength. Tensile strength
preferred always higher is better. According to Taguchi
technique Tensile strength calculated based on Higher is
better. The S/N ratio is calculated based on response
requirement. The analysis carried out on MINITAB 15
software.
0.04-600-90
0.04-600-0
0.04-500-90
0.04-500-0
0.03-600-90
0.03-600-0
0.03-500-90
0.03-500-00
1190
1180
1170
1160
1150
1140
1130
1120
1110
1100
COMBINATION OF INPUT FACTORS
TENSILESTRENGTH
Scatterplot of TENSILE STRENGTH vs SR.NO
Fig. 3: Scatter plot for Tensile Strength
From above graph say that Tensile Strength is higher at
lower value of layer thickness, scan speed and orientation
angle. The highest result of tensile strength got from
Experimental Investigation of Process Parameter on Tensile Strength of Selective Laser Melting Built Parts
(IJSRD/Vol. 1/Issue 4/ 2013/0054)
All rights reserved by www.ijsrd.com 1039
combination at 0.03 (Layer Thickness), 500 (Scan speed), 0
(Orientation Angle).
0.040.03
61.3
61.2
61.1
61.0
60.9
600500
900
61.3
61.2
61.1
61.0
60.9
LAYER THICKNESS
MeanofSNratios
SCAN SPEED
ORIENTATION ANGLE
Main Effects Plot for SN ratios
Data Means
Signal-to-noise: Larger is better
Fig. 4: Main Effect plot for SN Ratios (Tensile Strength)
From the graph we can say that tensile strength is decrease
with increase in layer thickness and scan speed. It also
shows that layer thickness and scan speed is highly
significant factors which affect tensile strength whereas
orientation angle have little importance.
Factor df Seq SS Adj SS Adj MS F value P (%)
A 1 4950.13 4950.13 4950.13 201 69.42
B 1 1891.12 1891.12 1891.12 76.8 26.60
C 1 190.12 190.12 190.12 7.72 2.67
Error 4 98.50 98.50 24.63 1 1.31
Total 7 7129.88 100
Table.6: ANOVA for tensile strength
The F value factor A and B is comparatively higher than
Factor C, so they are significant for tensile strength.
A multiple linear regression models are developed in order
to predict the values of Tensile strength of test specimen in
SLM process. The developed models are reasonably
accurate and can be used for prediction within limits. The
regression equation for the Tensile strength was generated
with the help of MINITAB 15 software is as:
Tensile Strength = 1486.5 - 4975 Layer Thickness - 0.3075
Scan Speed - 0.108333 Orien. Angle
The comparison of experimental data and regression data is
shown below in table. 7.
Sr No.
Experimental
Results
Regression
results
1 1188 1184
2 1176 1174
3 1150 1152
4 1139 1143
5 1129 1133
6 1122 1124
7 1106 1103
8 1097 1093
Table. 7: comparison of experimental and regression data
VI. CONCLUSIONS
This paper presents analysis of various process parameters
and drawn following conclusions from the Experimental
study:
Tensile strength is maximum at lower level value of layer
thickness, scan speed and orientation angle. The highest
result of tensile strength got from combination at 0.03
(Layer Thickness), 500 (Scan speed), 0 (Orientation Angle).
From the ANOVA analysis we can say that layer thickness
and scan speed is most significant to performance
characteristics whereas orientation angle have little
importance. Experimental results and regression results are
closely correlated with each other which validated the
regression model developed.
REFERENCES
[1] Masanori Shiomi, Kozo Osakada. Flexible
manufacturing of metallic products by selective laser
melting of powder; in International Journal of Machine
Tools & Manufacture 46 (2006) 1188-1193.
[2] Masanari Shiomi, Edson Costa Santos, Kozo Osakada,
Tahar Laoui. Rapid manufacturing of metal components
by laser forming; in International Journal of Machine
Tools & Manufacture 46 (2006) 1459-1468.
[3] Jianfeng Sun, Yongqiang Yang, Di Wang. Parametric
optimization of selective laser melting for forming
Ti6Al4V samples by Taguchi method; in Optics &
Laser Technology 49 (2013) 118-124
[4] Edson Santos, F. Abe, Y. Kitamura, K. Osakada and M.
Shiomi. Mechanical Properties of Pure Titanium
Models Processed by Selective Laser Melting;
Proceedings of the Institution of Mechanical Engineers,
Part C: Journal of Mechanical Engineering Science
(2003) 217-219
[5] K. Abd-Elghany, D.L. Bourell. Property evaluation of
304L stainless steel fabricated by selective laser
melting; Rapid Prototyping Journal Vol.18 Iss: 5 (2012)
420-428.
[6] Bogumila Kuznicka, Edward Chlebus, Tomasz
Kurzynowski, Bogdan Dybala. Microstructure and
Mechanical behavior of Ti-6Al-7Nb alloy produced by
Selective Laser Melting; material characterization 62
(2011) 488-495.
[7] Kruth J-P, Froyen L,Van Vaerenbergh J, Mercelis P,
Rombouts M, Lauwers B. Selective laser melting of
iron-based powder. J Mater Process Technol 149 (2004)
616–622.
[8] S. Dingal & T. R. Pradhan & J. K. Sarin Sundar & A.
Roy Choudhury & S. K. Roy. The application of
Taguchi’s method in the experimental investigation of
the laser sintering process; in Int J Adv Manuf Technol
38 (2008) 904–914.
[9] F. Abe, K. Osakada, M. Shiomi, K. Uematsu, M.
Mastsumoto. The Manufacturing of hard tools from
metallic powders by selective laser melting; in Journal
of Materials Processing Technology 111 (2001) 210-
213
[10] Yasa E., Kempen K., Kruth J.-P. Microstructure and
mechanical properties of Selective laser melted 18Ni-
300 steel; physics procedia 12 (2011) 255-263
[11] Ning Y, Fuh JYH, Wong YS, Loh HT. An intelligent
parameter selection system for direct metal laser
sintering process. Int J Prod Res 42(1) (2004) 183-199.

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erimental Investigation of Process Parameter on Tensile Strength of Selective Laser Melting Built Parts

  • 1. IJSRD - International Journal for Scientific Research & Development| Vol. 1, Issue 4, 2013 | ISSN (online): 2321-0613 All rights reserved by www.ijsrd.com 1037 Abstract— Selective Laser Melting (SLM) is an emerging, fast growing rapid prototyping (RP) technology due to its ability to build functional parts having complex geometrical shape in reasonable time period. The quality of built parts highly depends on many process variables in selective laser melting. In this study, three important SLM process parameters such as layer thickness, orientation angle and scan speed are considered. Their influence on tensile strength of test specimen is studied. Margining Steel having grade 1.2709 was the material, commercially named CL50WS, which is used for fabricate Tensile Specimen in SLM. The experiments are conducted based on Taguchi’s L8 orthogonal array. The validity of process parameter and response is tested by using analysis of variance (ANOVA). The multi linear regression model is developed in order to predict Tensile strength of test specimen. The experimental data and data obtained by regression equation is closely correlated which validated the models. The layer thickness and scan speed is highly affect the quality of SLM fabricated parts whereas orientation angle have little important. Keywords: Selective Laser Melting (SLM), Rapid Prototype Technology (RPT), Taguchi Method, ANOVA, Tensile Strength and Regression Analysis I. INTRODUCTION Reduction of product development cycle time is a major concern in industries to remain competitive in the market place and hence, focus of industries has shifted from traditional product development Methodology to rapid fabrication techniques like rapid proto typing (RP). Selective Laser Melting (SLM) is an emerging powder based additive layer manufacturing technology that used to fabricate three- dimensional fully functional parts from metal powders by fusing the material in a layer by layer manner as per a CAD model. Selective Laser Melting (SLM) is gaining distinct advantage in manufacturing industries because of its ability to manufacture parts with complex shapes without any tooling Requirement and less human interface. Selective laser melting rapid prototype machine consist an Nd: YAG laser to melt the thin layer of powder. The laser head is attached to the x, y table controlled by a computer. A steel substrate is attached to the piston, which moves down one layer thickness of 0.05 or 0.1 mm (z direction) or as per requirement. The process is carried out in a closed chamber and argon is flushed continuously in order to minimize oxygen and nitrogen pick-up. SLM developed at the Fraunhofer Institute for Laser Technology ILT in Germany, so called basic ILT SLM. The parts are fabricated from metal powders on a substrate so the initial step is to preheat the work surface (substrate) with help of the Nd:YAG laser after this first thin layer of powder is spread equally over the work surface. The powder on the substrate is selectively melted by energy of high intensity laser beam according to the sliced CAD model. When the laser melting of the spread layer is done the substrate plate is lowered, and new powder is deposited on top of the first layer. This new layer is selectively melted, and the layers (approximately 50μm) are metallurgic ally bonded. The final component is thus built of many single layers. At last part is removed from work. Produced parts have density about 100%, and the mechanical properties can even beat conventional manufacturing processes such as die-casting. II. LITERATURE REVIEW Literature reveals that properties of SLM fabricated parts are function of various process related parameters and can be significantly improved with proper adjustment. It will give the information about different optimization techniques used to process parameters optimization of SLM Machine and also suggest the main process parameters that affect the quality of SLM produced parts. It also provides the information about the different methods which are used for experimental design and prediction purpose. There are different methods of optimization of process parameter like factorial design, Taguchi method, central composite design, response surface methodology etc. From these different methods of optimization, Taguchi approach is more powerful technique. Currently high quality of the parts with low cost and in shorter time period is the demands from the users. This is the big challenge so it is necessary to optimize the process parameter of respective machines III. METHODOLOGY A. Design of experiment (Taguchi method): Taguchi method is used for Design of Experiment. Full factorial design of experiments would require a large no. of runs; Hence Taguchi based design of experiment method was implemented. In Taguchi method Orthogonal Array provides a set of well-balanced experiments, and Taguchi’s signal-to-noise. (S/N) ratios, which are logarithmic functions of the desired output, serve as objective functions for optimization. It helps to learn the whole parameter space with a minimum experimental runs. Taguchi replaces the full factorial experiments with a lean, less expensive and less time consuming method concern to manufacturing. Experimental Investigation of Process Parameter on Tensile Strength of Selective Laser Melting Built Parts Rajnikant B. Rathod1 R. I. Patel2 B. D. Parmar3 1 ME Student 2 Associate Professor 3 Assistant Professor 1, 2, 3 Department of Mechanical Engineering 1, 2, 3 GEC, Dahod (GTU, Ahmadabad)
  • 2. Experimental Investigation of Process Parameter on Tensile Strength of Selective Laser Melting Built Parts (IJSRD/Vol. 1/Issue 4/ 2013/0054) All rights reserved by www.ijsrd.com 1038 B. Analysis Of Variance (ANOVA): Analysis of Variance (ANOVA) is a powerful analysing tool to identify which are the most significant factors. It calculates variations about mean ANOVA results for the each response. Based on F-value (Significance factor value) important parameters can be identified. ANOVA Table obtained by MiniTab15 software. ANOVA Table contains Degree of freedom (DF), Sum of Squares (SS), Mean squares (MS), Significant Factor ratio (F-Ratio) and Probability (P). IV. EXPERINENT Experiment work carried out in M1 laser cusing Selective Laser Melting Machine at Indo-German Tool Room, Vatva. Fig. 1: SLM Machine Three important SLM process parameters such as layer thickness, orientation angle and scan speed are considered. Their influence on tensile strength of test specimen is studied. Margining Steel having grade 1.2709 was the material, commercially named CL50WS, which is used for fabricate Tensile Specimen in SLM. Component Indicative value (%) Fe Balance C ≤ 0.03 Si ≤ 0.10 Mn ≤ 0.15 P,S ≤ 0.010 Cr ≤ 0.25 Mo 4.50 – 5.20 Ni 17.0 – 19.0 Ti 0.80 – 1.20 Co 8.50 – 10.0 Table.1 Chemical Composition The factors and their levels used in experimental work are shown in table.2. Process parameter Unit Level 1 Level 2 Layer thickness µm 0.03 0.04 Scan speed mm/sec 500 600 Orientation angle degree 0 90 Table. 2: Control factors and their level The number of experiment run is eight based on Taguchi’s L8 orthogonal array that is produced in Minitab software. Sr. No. Layer thickness Scan speed Orientation angle 1 0.03 500 0 2 0.03 500 90 5 0.03 600 0 4 0.03 600 90 ³ 0.04 500 0 6 0.04 500 90 7 0.04 600 0 8 0.04 600 90 Table.3: Taguchi’s L8 orthogonal array Specimen detail Standard test specimen for tensile test as per ASTM E 8 is designed using pro-e software. Tensile test specimens having dimensions 100 mm x 10 mm x 5mm (Length*Width*Thickness) are prepared. Now control factor listed in table 1 is set as per experimental plan shown in table 2. Total 8 numbers of tensile parts are fabricated with the same material using concept laser SLM machine. The mean of the reading of tensile strength is taken to be repetitive value. Fig. 2: Specimen for experiment V. RESULTS AND ANALYSIS After conducting experiment, the tensile strength of the specimens is measured at Divine Laboratory Services at Ahmedabad. The testing results are shown in table.4. Sr. No. Layer thickness Scan speed Orie. angle Tensile Strength 1 0.03 500 0 1188 2 0.03 500 90 1176 3 0.03 600 0 1150 4 0.03 600 90 1139 5 0.04 500 0 1129 6 0.04 500 90 1122 7 0.04 600 0 1106 8 0.04 600 90 1097 Table. 4: Results of Tensile strength The experimental Result is analyzed in Minitab Software for effect of all factors on tensile strength. Tensile strength preferred always higher is better. According to Taguchi technique Tensile strength calculated based on Higher is better. The S/N ratio is calculated based on response requirement. The analysis carried out on MINITAB 15 software. 0.04-600-90 0.04-600-0 0.04-500-90 0.04-500-0 0.03-600-90 0.03-600-0 0.03-500-90 0.03-500-00 1190 1180 1170 1160 1150 1140 1130 1120 1110 1100 COMBINATION OF INPUT FACTORS TENSILESTRENGTH Scatterplot of TENSILE STRENGTH vs SR.NO Fig. 3: Scatter plot for Tensile Strength From above graph say that Tensile Strength is higher at lower value of layer thickness, scan speed and orientation angle. The highest result of tensile strength got from
  • 3. Experimental Investigation of Process Parameter on Tensile Strength of Selective Laser Melting Built Parts (IJSRD/Vol. 1/Issue 4/ 2013/0054) All rights reserved by www.ijsrd.com 1039 combination at 0.03 (Layer Thickness), 500 (Scan speed), 0 (Orientation Angle). 0.040.03 61.3 61.2 61.1 61.0 60.9 600500 900 61.3 61.2 61.1 61.0 60.9 LAYER THICKNESS MeanofSNratios SCAN SPEED ORIENTATION ANGLE Main Effects Plot for SN ratios Data Means Signal-to-noise: Larger is better Fig. 4: Main Effect plot for SN Ratios (Tensile Strength) From the graph we can say that tensile strength is decrease with increase in layer thickness and scan speed. It also shows that layer thickness and scan speed is highly significant factors which affect tensile strength whereas orientation angle have little importance. Factor df Seq SS Adj SS Adj MS F value P (%) A 1 4950.13 4950.13 4950.13 201 69.42 B 1 1891.12 1891.12 1891.12 76.8 26.60 C 1 190.12 190.12 190.12 7.72 2.67 Error 4 98.50 98.50 24.63 1 1.31 Total 7 7129.88 100 Table.6: ANOVA for tensile strength The F value factor A and B is comparatively higher than Factor C, so they are significant for tensile strength. A multiple linear regression models are developed in order to predict the values of Tensile strength of test specimen in SLM process. The developed models are reasonably accurate and can be used for prediction within limits. The regression equation for the Tensile strength was generated with the help of MINITAB 15 software is as: Tensile Strength = 1486.5 - 4975 Layer Thickness - 0.3075 Scan Speed - 0.108333 Orien. Angle The comparison of experimental data and regression data is shown below in table. 7. Sr No. Experimental Results Regression results 1 1188 1184 2 1176 1174 3 1150 1152 4 1139 1143 5 1129 1133 6 1122 1124 7 1106 1103 8 1097 1093 Table. 7: comparison of experimental and regression data VI. CONCLUSIONS This paper presents analysis of various process parameters and drawn following conclusions from the Experimental study: Tensile strength is maximum at lower level value of layer thickness, scan speed and orientation angle. The highest result of tensile strength got from combination at 0.03 (Layer Thickness), 500 (Scan speed), 0 (Orientation Angle). From the ANOVA analysis we can say that layer thickness and scan speed is most significant to performance characteristics whereas orientation angle have little importance. Experimental results and regression results are closely correlated with each other which validated the regression model developed. REFERENCES [1] Masanori Shiomi, Kozo Osakada. Flexible manufacturing of metallic products by selective laser melting of powder; in International Journal of Machine Tools & Manufacture 46 (2006) 1188-1193. [2] Masanari Shiomi, Edson Costa Santos, Kozo Osakada, Tahar Laoui. Rapid manufacturing of metal components by laser forming; in International Journal of Machine Tools & Manufacture 46 (2006) 1459-1468. [3] Jianfeng Sun, Yongqiang Yang, Di Wang. Parametric optimization of selective laser melting for forming Ti6Al4V samples by Taguchi method; in Optics & Laser Technology 49 (2013) 118-124 [4] Edson Santos, F. Abe, Y. Kitamura, K. Osakada and M. Shiomi. Mechanical Properties of Pure Titanium Models Processed by Selective Laser Melting; Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science (2003) 217-219 [5] K. Abd-Elghany, D.L. Bourell. Property evaluation of 304L stainless steel fabricated by selective laser melting; Rapid Prototyping Journal Vol.18 Iss: 5 (2012) 420-428. [6] Bogumila Kuznicka, Edward Chlebus, Tomasz Kurzynowski, Bogdan Dybala. Microstructure and Mechanical behavior of Ti-6Al-7Nb alloy produced by Selective Laser Melting; material characterization 62 (2011) 488-495. [7] Kruth J-P, Froyen L,Van Vaerenbergh J, Mercelis P, Rombouts M, Lauwers B. Selective laser melting of iron-based powder. J Mater Process Technol 149 (2004) 616–622. [8] S. Dingal & T. R. Pradhan & J. K. Sarin Sundar & A. Roy Choudhury & S. K. Roy. The application of Taguchi’s method in the experimental investigation of the laser sintering process; in Int J Adv Manuf Technol 38 (2008) 904–914. [9] F. Abe, K. Osakada, M. Shiomi, K. Uematsu, M. Mastsumoto. The Manufacturing of hard tools from metallic powders by selective laser melting; in Journal of Materials Processing Technology 111 (2001) 210- 213 [10] Yasa E., Kempen K., Kruth J.-P. Microstructure and mechanical properties of Selective laser melted 18Ni- 300 steel; physics procedia 12 (2011) 255-263 [11] Ning Y, Fuh JYH, Wong YS, Loh HT. An intelligent parameter selection system for direct metal laser sintering process. Int J Prod Res 42(1) (2004) 183-199.