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IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308
__________________________________________________________________________________________
Volume: 02 Issue: 12 | Dec-2013, Available @ http://www.ijret.org 719
ANALYSIS EFFECT OF DRILLING PARAMETERS ON HOLE
DELAMINATION DURING DRILLING OF GLASS FIBER REINFORCED
PLASTIC (GFRP) COMPOSITE MATERIALS
Vipan kumar1
, Charanjeet Singh sandhu2
, Rohit Rampal3
1
Student, M.Tech production Engg., SUSCET TANGORI, PUNJAB, INDIA,
2, 3
Asst Professor, Mechanical Engg, Department SUSCET TANGORI, PUNJAB, INDIA
vkrinku@gmail.com, jimmychanni987@gmail.com, rohit_rampal@yahoo.co.in
Abstract
Glass fiber reinforced plastic (GFRP) composite materials are widely used industrial, aerospace, and automotive sector. Its have
excellent properties such as high strength to weight ratio, higher fatigue limit high stiffness to weight ratio, corrosion resistance and
design flexibility. Drilling is one of the major machining operations that are carried out on fiber reinforced metal composite materials
to the need for components assembly. There are many problems encountered when drilling Glass fiber reinforced plastic (GFRP)
composites. These problems include delaminating of the composite, poor surface roughness and hole deviation. In present
experimental investigation analyse the effect of various machining parameters i.e. cutting speed, the feed rate, and the drill diameter
on the quality of the drilled holes. Hole deviation of each hole is measured with help of digital vernier calliper. Taguhi's and ANOVA
Technique have been employed to study the effect of the interactions between different drilling parameters on deviation of holes. After
experiments suggests the optimal conditions for minimum hole deviation.
Keywords: Composite Material, Deviation, GFRP, ANNOVA, and Taguchi Methods
----------------------------------------------------------------------***------------------------------------------------------------------------
1. INTRODUCTION
Glass fiber reinforced plastic (GFRP) composite materials
have excellent properties such as high strength to weight ratio,
higher fatigue limit, high stiffness to weight ratio, corrosion
resistance and design flexibility. So that it’s have wide
applications in automotive sector, Electrical sector, medical
sector, sports sector, and Textile sector.
Drilling is major machining operations for components
assembly in mechanical structures. It is mostly used
machining processes in various manufacturing industries such
as automotive, aircraft and aerospace, Dies/Molds, and
Electronic equipment industries. The quality of the drilled hole
can be critical to the life of the joints for which the holes are
used. There is a huge effect of the machining parameters on
the damage, finish and mechanical properties of fiber
reinforced composite materials, and damaged the surface
roughness. Aspects of hole such a waviness/roundness of its
wall surface, axial straightness and roundness of the hole cross
sections can cause high stresses on the joints, leading to its
failure.
J.P. Nobre et al. (2013) Residual strains induced by drilling of
glass-fibre reinforced polymers (GFRPs) were determined
using a hybrid experimental–numerical methodology.
Experimentally, a set of GFRP specimens were drilled under
well-defined tensile (calibration) stresses, using an especially
designed tensile test device. To remove the effect of the initial
residual stresses, this methodology considers differential stress
values instead of absolute ones.
P. Mehbudi et al. (2013) studied ultrasonic assisted drilling is
applied to reduce thrust force in drilling of GFRP laminates. In
order to conduct experiments a setup is designed and
fabricated to apply both vibrations and rotation to drill bits.
Using Taguchi method, a set of experiments is conducted with
feed rate, spindle speed, and ultrasonic vibration amplitude as
control factors. The results show that applying ultrasonic
vibration reduces the thrust force and therefore the drilling
induced delaminating dramatically.
M. Adam Khan et al. (2011) were developed two different
evolutionary algorithm-based neural network models to
optimise the unit production cost. The hybrid neural network
models are, namely, genetic algorithm-based neural network
(GA-NN) model and particle swarm optimization based neural
network (PSO-NN) model. These hybrid neural network
models were used to find the optimal cutting conditions of
Ti[C, N] mixed alumina-based ceramic cutting tool (CC650)
and SiC whisker-reinforced alumina based ceramic cutting
tool (CC670) on machining glass fibre-reinforced plastic
(GFRP) composite.
IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308
__________________________________________________________________________________________
Volume: 02 Issue: 12 | Dec-2013, Available @ http://www.ijret.org 720
2. EXPERIMENTAL SETUP
Glass fiber reinforced plastics (GFRP) have been fabricated by
using hand lay-up techniques. The plan of experiment
constitutes 27 experiments. There are three levels for drill
diameters, three levels for spindle speed and three levels for
feed rate.
Table - 1: Parameters for experiments
Drill Diameters
(mm)
Spindle
speeds (rpm)
Feed Rates
(mm/rev)
5 560 0.2
8 1000 0.5
10 1440 0.8
3. RESULTS AND DISCUSSION
This sections represents the investigated results of hole
deviation obtained during drilling of GFRP. The results were
obtained at variation of drill diameter e.g. from 5 to 10 mm,
cutting speed e.g. from 560 to 1440 rpm and feed rate e.g.
from 0.2 to 0.8 mm/rev.
1085
0.6
0.5
0.4
0.3
0.2
14401000560
0.80.50.2
0.6
0.5
0.4
0.3
0.2
Drill Diameter
Mean
Spindle Speed
Feed Rate
Main Effects Plot for Hole Deviation
Data Means
Fig 1: Showing the effect of Drilling Parameters on Mean
Hole Deviation
Fig:1 shows effect of various drilling parameters on the mean
of hole deviation plotted utilizing the drilling results obtained.
From the figure, it is observed that the mean value of hole
deviation is increase by increasing the drill diameter from 5 to
8 mm and 8 to 10 mm. The mean of hole deviation decrease
constantly by increasing the value of cutting speed from 560
to 1000 rpm and 1000 to 1440 rpm. The mean of hole
deviation is almost constant by increasing feed rate from 0.2 to
0.5 mm/rev and 0.5 to 0.8 mm/rev.
1085
15.0
12.5
10.0
7.5
5.0
14401000560
0.80.50.2
15.0
12.5
10.0
7.5
5.0
DrillDiameter
MeanofSNratios
SpindleSpeed
FeedRate
MainEffectsPlotforSNratios
DataMeans
Signal-to-noise: Smaller isbetter
Fig 2: Showing the effect of Drilling Parameters on Mean of
S/N ratio of Hole Deviation
Fig:2 shows effect of various drilling parameters on the mean
of S/N Ratio of hole deviation plotted utilizing the drilling
results obtained. From the figure, it is observed that the mean
value of S/N Ratio of hole deviation is decrease by increasing
the drill diameter from 5 to 8 mm and 8 to 10 mm. The mean
of S/N Ratio of hole deviation increase constantly by
increasing the value of cutting speed from 560 to 1000 rpm
and 1000 to 1440 rpm. The mean of S/N Ratio hole deviation
is almost constant by increasing feed rate from 0.2 to 0.5
IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308
__________________________________________________________________________________________
Volume: 02 Issue: 12 | Dec-2013, Available @ http://www.ijret.org 721
mm/rev and after that if further increase the feed rate from 0.5
to 0.8 mm/rev the of S/N Ratio of hole deviation is increase.
Fig 3: ANOVA Test for Means
The results are analyzed using ANOVA for identifying the
significant factor affecting the performance measure of
drilling on GFRP. ANOVA results shows that drill diameters
and Spindle speed are significant factor because its P value is
0.000. Other factor feed rate is not significant because their P
value is larger than .05.
Fig 4: Ranking for Signal to Noise Ratios Smaller is better
Fig;4 shows the ranking of drilling parameters for optimizing
the hole deviation. It can be observed that drill diameter has
the largest effect on the hole deviation by drilling of GFRP.
The Feed Rate has the smallest effect on the on the hole
deviation by drilling of GFRP.
1
0.0 0
0.2
0.4
-1
0.6
0 -1
1
Hole Deviation
Spindle Speed
Drill Diameter
Feed Rate 0
Hold Values
Surface Plot of Hole Deviation vs Spindle Speed, Drill Diameter
Fig 5: Surface Plot of hole deviation Spindle speed vs. drill
diameters
Fig:5 shows the surface plot of hole deviation spindle speed
vs. drill diameters. From this figure it is clear that the
minimum hole deviation is notice at lower level of drill
diameters and higher level of spindle speed.
1
0
0.2
0.4
-1
0.6
0 -1
1
Hole Deviation
Feed Rate
Drill Diameter
Spindle Speed 0
Hold Values
Surface Plot of Hole Deviation vs Feed Rate, Drill Diameter
Fig 6: Surface Plot of hole deviation Feed Rate vs. drill
diameters
Fig:6 shows the surface plot of hole deviation feed rate vs.
drill diameters. From this figure it is clear that the minimum
hole deviation is notice at lower level of feed rate and lower
level of drill diameters.
1
0.15
0
0.20
0.25
-1
0.30
0 -1
1
Hole Deviation
Feed Rate
Spindle Speed
Drill Diameter 0
Hold Values
Surface Plot of Hole Deviationvs FeedRate, Spindle Speed
Fig 7: Surface Plot of hole deviation Spindle speed vs. Feed
Rate
The above figure shows the surface plot of hole deviation
spindle speed vs. feed rate. From this figure it is clear that the
minimum hole deviation is notice at lower level of feed rate
and higher level of spindle speed.
CONCLUSIONS
1. The mean value of hole deviation is smaller for 5 mm of
drill diameter which is 0.1644mm.
2. It is observed that the mean value of hole deviation is
smaller for 1440 rpm of spindle speed which is around 0.2644
mm.
3. It is observed that the mean value of hole deviation is
smaller for 0.2 mm/rev of feed rate which is 0.3333 mm.
IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308
__________________________________________________________________________________________
Volume: 02 Issue: 12 | Dec-2013, Available @ http://www.ijret.org 722
4. For Glass fiber reinforced plastic (GFRP) composite
materials the optimum machining condition for minimum hole
deviation with drill diameter (5 mm), spindle speed (1440
rpm), and feed rate (0.02 mm/rev).
REFERENCES
[1] J.P. Nobre, J.-H. Stiffel, A. Nau, J.C. Outeiro, A.C.
Batista, W. Van Paepegem, B. Scholtes, “Induced
drilling strains in glass fibre reinforced epoxy
composites”, CIRP Annals - Manufacturing
Technology 62 (2013) 87–90.
[2] P. Mehbudi, V. Baghlani, J. Akbari, A.R. Bushroa, and
N.A. Mardi, “Applying ultrasonic vibration to decrease
drilling-induced delamination in GFRP laminates”,
Procedia CIRP 6 ( 2013 ) 577 – 582.
[3] M. Adam Khan, A. Senthil Kumar and A. Poomari, “A
hybrid algorithm to optimize cutting parameter for
machining GFRP composite using alumina cutting
tools”, Int J Adv Manuf Technol, 2011.
BIOGRAPHIES
Vipan is pursuing his part time M.Tech from
Shaheed Udam singh college of engineering &
technology tangori. he has completed his
B.tech from Doaba college of engineering &
technology saharuan
Charanjeet Singh sandhu working as
Asst.Professor Professor in Shaheed Udam
singh college of engineering & technology
tangori. He has completes his B.Tech from
G.G.S.C.E.T Tawndi Sabbo & M.Tech from
G.N.E Ludhiana & published 3 papers in international
Journals
Rohit Rampal is working as Asst. Professor in
Shaheed Udam Singh College of engineering &
technology tangori, he has completed his B.Tech
from Sri Sai University in 2003 and M.Tech
from Sukhmani college of engg. & technology
in 2008.he has total 6 year experience and area of interest is
non conventional machining .he has published research papers
in 2 international journals, 3 international conferences and 1
national conference

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HARDNESS, FRACTURE TOUGHNESS AND STRENGTH OF CERAMICS
 

Analysis effect of drilling parameters on hole

  • 1. IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308 __________________________________________________________________________________________ Volume: 02 Issue: 12 | Dec-2013, Available @ http://www.ijret.org 719 ANALYSIS EFFECT OF DRILLING PARAMETERS ON HOLE DELAMINATION DURING DRILLING OF GLASS FIBER REINFORCED PLASTIC (GFRP) COMPOSITE MATERIALS Vipan kumar1 , Charanjeet Singh sandhu2 , Rohit Rampal3 1 Student, M.Tech production Engg., SUSCET TANGORI, PUNJAB, INDIA, 2, 3 Asst Professor, Mechanical Engg, Department SUSCET TANGORI, PUNJAB, INDIA vkrinku@gmail.com, jimmychanni987@gmail.com, rohit_rampal@yahoo.co.in Abstract Glass fiber reinforced plastic (GFRP) composite materials are widely used industrial, aerospace, and automotive sector. Its have excellent properties such as high strength to weight ratio, higher fatigue limit high stiffness to weight ratio, corrosion resistance and design flexibility. Drilling is one of the major machining operations that are carried out on fiber reinforced metal composite materials to the need for components assembly. There are many problems encountered when drilling Glass fiber reinforced plastic (GFRP) composites. These problems include delaminating of the composite, poor surface roughness and hole deviation. In present experimental investigation analyse the effect of various machining parameters i.e. cutting speed, the feed rate, and the drill diameter on the quality of the drilled holes. Hole deviation of each hole is measured with help of digital vernier calliper. Taguhi's and ANOVA Technique have been employed to study the effect of the interactions between different drilling parameters on deviation of holes. After experiments suggests the optimal conditions for minimum hole deviation. Keywords: Composite Material, Deviation, GFRP, ANNOVA, and Taguchi Methods ----------------------------------------------------------------------***------------------------------------------------------------------------ 1. INTRODUCTION Glass fiber reinforced plastic (GFRP) composite materials have excellent properties such as high strength to weight ratio, higher fatigue limit, high stiffness to weight ratio, corrosion resistance and design flexibility. So that it’s have wide applications in automotive sector, Electrical sector, medical sector, sports sector, and Textile sector. Drilling is major machining operations for components assembly in mechanical structures. It is mostly used machining processes in various manufacturing industries such as automotive, aircraft and aerospace, Dies/Molds, and Electronic equipment industries. The quality of the drilled hole can be critical to the life of the joints for which the holes are used. There is a huge effect of the machining parameters on the damage, finish and mechanical properties of fiber reinforced composite materials, and damaged the surface roughness. Aspects of hole such a waviness/roundness of its wall surface, axial straightness and roundness of the hole cross sections can cause high stresses on the joints, leading to its failure. J.P. Nobre et al. (2013) Residual strains induced by drilling of glass-fibre reinforced polymers (GFRPs) were determined using a hybrid experimental–numerical methodology. Experimentally, a set of GFRP specimens were drilled under well-defined tensile (calibration) stresses, using an especially designed tensile test device. To remove the effect of the initial residual stresses, this methodology considers differential stress values instead of absolute ones. P. Mehbudi et al. (2013) studied ultrasonic assisted drilling is applied to reduce thrust force in drilling of GFRP laminates. In order to conduct experiments a setup is designed and fabricated to apply both vibrations and rotation to drill bits. Using Taguchi method, a set of experiments is conducted with feed rate, spindle speed, and ultrasonic vibration amplitude as control factors. The results show that applying ultrasonic vibration reduces the thrust force and therefore the drilling induced delaminating dramatically. M. Adam Khan et al. (2011) were developed two different evolutionary algorithm-based neural network models to optimise the unit production cost. The hybrid neural network models are, namely, genetic algorithm-based neural network (GA-NN) model and particle swarm optimization based neural network (PSO-NN) model. These hybrid neural network models were used to find the optimal cutting conditions of Ti[C, N] mixed alumina-based ceramic cutting tool (CC650) and SiC whisker-reinforced alumina based ceramic cutting tool (CC670) on machining glass fibre-reinforced plastic (GFRP) composite.
  • 2. IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308 __________________________________________________________________________________________ Volume: 02 Issue: 12 | Dec-2013, Available @ http://www.ijret.org 720 2. EXPERIMENTAL SETUP Glass fiber reinforced plastics (GFRP) have been fabricated by using hand lay-up techniques. The plan of experiment constitutes 27 experiments. There are three levels for drill diameters, three levels for spindle speed and three levels for feed rate. Table - 1: Parameters for experiments Drill Diameters (mm) Spindle speeds (rpm) Feed Rates (mm/rev) 5 560 0.2 8 1000 0.5 10 1440 0.8 3. RESULTS AND DISCUSSION This sections represents the investigated results of hole deviation obtained during drilling of GFRP. The results were obtained at variation of drill diameter e.g. from 5 to 10 mm, cutting speed e.g. from 560 to 1440 rpm and feed rate e.g. from 0.2 to 0.8 mm/rev. 1085 0.6 0.5 0.4 0.3 0.2 14401000560 0.80.50.2 0.6 0.5 0.4 0.3 0.2 Drill Diameter Mean Spindle Speed Feed Rate Main Effects Plot for Hole Deviation Data Means Fig 1: Showing the effect of Drilling Parameters on Mean Hole Deviation Fig:1 shows effect of various drilling parameters on the mean of hole deviation plotted utilizing the drilling results obtained. From the figure, it is observed that the mean value of hole deviation is increase by increasing the drill diameter from 5 to 8 mm and 8 to 10 mm. The mean of hole deviation decrease constantly by increasing the value of cutting speed from 560 to 1000 rpm and 1000 to 1440 rpm. The mean of hole deviation is almost constant by increasing feed rate from 0.2 to 0.5 mm/rev and 0.5 to 0.8 mm/rev. 1085 15.0 12.5 10.0 7.5 5.0 14401000560 0.80.50.2 15.0 12.5 10.0 7.5 5.0 DrillDiameter MeanofSNratios SpindleSpeed FeedRate MainEffectsPlotforSNratios DataMeans Signal-to-noise: Smaller isbetter Fig 2: Showing the effect of Drilling Parameters on Mean of S/N ratio of Hole Deviation Fig:2 shows effect of various drilling parameters on the mean of S/N Ratio of hole deviation plotted utilizing the drilling results obtained. From the figure, it is observed that the mean value of S/N Ratio of hole deviation is decrease by increasing the drill diameter from 5 to 8 mm and 8 to 10 mm. The mean of S/N Ratio of hole deviation increase constantly by increasing the value of cutting speed from 560 to 1000 rpm and 1000 to 1440 rpm. The mean of S/N Ratio hole deviation is almost constant by increasing feed rate from 0.2 to 0.5
  • 3. IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308 __________________________________________________________________________________________ Volume: 02 Issue: 12 | Dec-2013, Available @ http://www.ijret.org 721 mm/rev and after that if further increase the feed rate from 0.5 to 0.8 mm/rev the of S/N Ratio of hole deviation is increase. Fig 3: ANOVA Test for Means The results are analyzed using ANOVA for identifying the significant factor affecting the performance measure of drilling on GFRP. ANOVA results shows that drill diameters and Spindle speed are significant factor because its P value is 0.000. Other factor feed rate is not significant because their P value is larger than .05. Fig 4: Ranking for Signal to Noise Ratios Smaller is better Fig;4 shows the ranking of drilling parameters for optimizing the hole deviation. It can be observed that drill diameter has the largest effect on the hole deviation by drilling of GFRP. The Feed Rate has the smallest effect on the on the hole deviation by drilling of GFRP. 1 0.0 0 0.2 0.4 -1 0.6 0 -1 1 Hole Deviation Spindle Speed Drill Diameter Feed Rate 0 Hold Values Surface Plot of Hole Deviation vs Spindle Speed, Drill Diameter Fig 5: Surface Plot of hole deviation Spindle speed vs. drill diameters Fig:5 shows the surface plot of hole deviation spindle speed vs. drill diameters. From this figure it is clear that the minimum hole deviation is notice at lower level of drill diameters and higher level of spindle speed. 1 0 0.2 0.4 -1 0.6 0 -1 1 Hole Deviation Feed Rate Drill Diameter Spindle Speed 0 Hold Values Surface Plot of Hole Deviation vs Feed Rate, Drill Diameter Fig 6: Surface Plot of hole deviation Feed Rate vs. drill diameters Fig:6 shows the surface plot of hole deviation feed rate vs. drill diameters. From this figure it is clear that the minimum hole deviation is notice at lower level of feed rate and lower level of drill diameters. 1 0.15 0 0.20 0.25 -1 0.30 0 -1 1 Hole Deviation Feed Rate Spindle Speed Drill Diameter 0 Hold Values Surface Plot of Hole Deviationvs FeedRate, Spindle Speed Fig 7: Surface Plot of hole deviation Spindle speed vs. Feed Rate The above figure shows the surface plot of hole deviation spindle speed vs. feed rate. From this figure it is clear that the minimum hole deviation is notice at lower level of feed rate and higher level of spindle speed. CONCLUSIONS 1. The mean value of hole deviation is smaller for 5 mm of drill diameter which is 0.1644mm. 2. It is observed that the mean value of hole deviation is smaller for 1440 rpm of spindle speed which is around 0.2644 mm. 3. It is observed that the mean value of hole deviation is smaller for 0.2 mm/rev of feed rate which is 0.3333 mm.
  • 4. IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308 __________________________________________________________________________________________ Volume: 02 Issue: 12 | Dec-2013, Available @ http://www.ijret.org 722 4. For Glass fiber reinforced plastic (GFRP) composite materials the optimum machining condition for minimum hole deviation with drill diameter (5 mm), spindle speed (1440 rpm), and feed rate (0.02 mm/rev). REFERENCES [1] J.P. Nobre, J.-H. Stiffel, A. Nau, J.C. Outeiro, A.C. Batista, W. Van Paepegem, B. Scholtes, “Induced drilling strains in glass fibre reinforced epoxy composites”, CIRP Annals - Manufacturing Technology 62 (2013) 87–90. [2] P. Mehbudi, V. Baghlani, J. Akbari, A.R. Bushroa, and N.A. Mardi, “Applying ultrasonic vibration to decrease drilling-induced delamination in GFRP laminates”, Procedia CIRP 6 ( 2013 ) 577 – 582. [3] M. Adam Khan, A. Senthil Kumar and A. Poomari, “A hybrid algorithm to optimize cutting parameter for machining GFRP composite using alumina cutting tools”, Int J Adv Manuf Technol, 2011. BIOGRAPHIES Vipan is pursuing his part time M.Tech from Shaheed Udam singh college of engineering & technology tangori. he has completed his B.tech from Doaba college of engineering & technology saharuan Charanjeet Singh sandhu working as Asst.Professor Professor in Shaheed Udam singh college of engineering & technology tangori. He has completes his B.Tech from G.G.S.C.E.T Tawndi Sabbo & M.Tech from G.N.E Ludhiana & published 3 papers in international Journals Rohit Rampal is working as Asst. Professor in Shaheed Udam Singh College of engineering & technology tangori, he has completed his B.Tech from Sri Sai University in 2003 and M.Tech from Sukhmani college of engg. & technology in 2008.he has total 6 year experience and area of interest is non conventional machining .he has published research papers in 2 international journals, 3 international conferences and 1 national conference