Optimization of Cutting Parameters in CNC DRILLING of P30 tool Steel by using Taguchi Method

International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056
Volume: 04 Issue: 02 | Feb -2017 www.irjet.net p-ISSN: 2395-0072
© 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 1
Optimization of Cutting Parameters in CNC DRILLING of P30 tool Steel
by using Taguchi Method
Jayam. Sree hari1, Dr.T.Surya Sekhara Reddy2, Mr.D.Harsha Vardhan3
1PG scholar Sri Venkateswara Institute Of Technology, Anantapuram,
2Professor Sri Venkateswara Institute Of Technology, Anantapuram,
3. Asst.Professor Sri Venkateswara Institute Of Technology,Anantapuram,
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Abstract - In recent years, by the progresses in
manufacturing industry, great changes have especially
been observed in machining of metals. All cutting
parameters have already been investigated in order to
advancing the properties of cutting tools and machine
tools. These researches have improved material
removals rate, decreasedmanufacturingtime,improve
surface roughness and resulted minimum cutting
forces. The effects of dry and wet cuttings have widely
been examined on metal machining. In this study, the
effects of cutting fluid and dry cutting on surface
roughness and cutting force have been examined in
CNC turning of EN9 (AISI1055) medium carbon steel
material and tungsten carbide P30 grade tool. This
paper reviews the research work carried out from the
inception to the development of CNC Turning within
the past decade.ItreportsontheCNCTurningresearch
relating to improving performance measures,
monitoring and control of process, optimizing the
process variables. The paper also discusses the future
trend of research work in the same area.
Key Words: (Size 10 & Bold) Key word1, Key word2, Key
word3, etc (Minimum 5 to 8 key words)…
1.INTRODUCTION
onventional machining in which a sharp cutting tool is
used to mechanical cut the material to achieve the desired
shape, size and geometry. The predominant cutting action in
machining involves shear deformation of the work material
to form a various kinds of chips; as the chips removed, a new
surface is exposed, that is called as machined surface.
Machining is a most frequently applied to drilling machine
Drilling is a most common and complex used industrial
machining processes of creating and originating a hole in
mechanical componentsandworkpiece.Thetoolused,called
a drill and the machine tool used is called a drill machine.
Drilling can also be define as a rotary end-cutting tool having
one or more cutting edges called lips,and havingoneormore
helical or straight flutes for the passage of chips and passing
the cutting fluid to the machining zone. The drilling
operations performed on a drilling machine, which rotates
and feed the drill to the work piece and creates the hole.
Drilling usually performed with a rotating cylindrical tool
that has two cutting edges on its working end (called a twist
drill). Rotating drill fed into the stationaryworkpiecetoform
a hole whose diameter is determined by the drill diameter.
Drilling makes up about 25% of all the machining processes
performed. Drilling is really a Complex Process, becauseOnly
exit for the chips is the hole that filled by the drill. Friction
results in heat in addition to that due to chip.
TYPES OF DRILLED HOLES
Through holes: Drill exits from the opposite side of the
work piece called through hole. hole depth is equal to the
work piece thickness or height.
Blind holes: Drill doesnotexitfromtheoppositeside
of the work piece called blind hole, hole Depth is less
than work piece thickness or height.
Figure 1 Types of drilled holes
DRILLING OPERATIONS
Reaming
Tapping
Counter-boring
Counter-sinking
Centering or center-drilling
Spot-facing
CLASSIFICATION OF DRILLING MACHINES
Bench type drilling machine
Upright drilling machine
Radial drilling machine
Gang type drilling machine

Multi spindle type drilling machine
Deep hole type drilling machine
Transfer type drilling machine
General purpose drilling machines of common use
Pillar drilling machine
CNC column drilling machine
METHODOLOGY
The Taguchi methodology is one of the optimizing
techniques that based on the design of experiments (DOE)
approach. The experiments analysis will propose to conduct
using the design of experiments technique. Although full
factorial designs can be use where in all the possible
combinations can be test, we would use fractional factorial
analysis methods for the experiment.
Figure 2 Methodology
The Taguchi Design is a design of experiment (DOE)
approach developed by Dr. Genichi Taguchi in order to
improve the quality of manufactured goods in Japan.
Although similar to factorial design of experiment, the
Taguchi design only conducts balanced (orthogonal)
experimentalcombinations,whichmakestheTaguchidesign
even more efficient than a fractional factorial design. The
Taguchi methodology has been proposed to overcome the
limitations of full factorial analysis by simplifying and
standardizing the fractional factorial design (Roy, 1990).
Taguchi methodology involves identification of controllable
and uncontrollable factors and the establishment of series of
experiments to find out optimal combinations of the factors
that has the greatest influence on the performance and least
variation from the targetofthedesign.Themainadvantageof
Taguchi Design is its efficiency in that multiple factors canbe
consider at onceandtheoptimalparameterscanbeidentified
with fewerexperimentalresourcesthanthetraditional(DOE)
approach. In addition, Taguchi design allows looking intothe
variation caused by control factors and noise factors, while
the variation caused by noise factors is usually ignore in the
traditional DOE approach.
RESULTS AND DISCUSSION
The effect of various parameters such as cutting speed,
work piece, feed, drill material, drill diameterandinteraction
between drill material and cutting speed were evaluated
using ANOVA and factorial design analysis. A confidence
interval of 95% has been used for the analysis. 18 trials were
conducted in the experiment usingL18 experimental design.
One repetition foreach of18trialswascompletedtomeasure
Signal to Noise ratio (S/N ratio).
SURFACE ROUGHNESS (RA)
In this study surface roughness of 18 experimental trials
with repetition has measuredforeachsample.Formeasuring
surface roughness, the sampling length is taken as 3 mm and
cut off length is taken as 0.8 mm. The results for surface
roughness for each of the 18 experimental trials with
repetition are given in Table 1.
Table.1 Result for Surface roughness
24416080
1.0
0.9
0.8
0.7
0.1500.1250.100
1284
1.0
0.9
0.8
0.7
HCHCRH11EN31
Speed
MeanofMeans
Feed
Drill Diametrer material
Main Effects Plot for Means
Data Means
Figure 1.Main effect plot for Mean Surface roughness
24416080
3
2
1
0
0.1500.1250.100
1284
3
2
1
0
HCHCRH11EN31
Speed
MeanofSNratios
Feed
Drill Diametrer material
Main Effects Plot for SN ratios
Data Means
Signal-to-noise: Smaller is better
Figure 2.Main effect plot for SN ratios
Trial Tool Speed Feed Drill Work- Surface Mean S/N Ratio
no material (RPM) (mm/rev) diameter piece roughness Surface
(mm) ( µm) roughness
I II (Ra)
1 M2 80 0.1 4 EN 31 0.65 0.73 0.69 3.223018
2 M2 80 0.125 8 H 11 0.77 0.65 0.71 2.974833
3 M2 80 0.15 12 HCHCr 0.99 1.13 1.06 -0.50612
4 M2 160 0.1 4 H 11 0.98 0.6 0.79 2.047458
5 M2 160 0.125 8 HCHCr 0.89 0.99 0.94 0.537443
6 M2 160 0.15 12 EN 31 1.1 1.06 1.08 -0.66848
7 M2 244 0.1 8 EN 31 0.78 0.7 0.74 2.615366
8 M2 244 0.125 12 H 11 0.88 1.08 0.98 0.175478
9 M2 244 0.15 4 HCHCr 1.15 0.81 0.98 0.175478
10 M35 80 0.1 12 HCHCr 1.02 1.02 1.02 -0.172
11 M35 80 0.125 4 EN 31 0.56 0.82 0.69 3.223018
12 M35 80 0.15 8 H 11 0.79 0.61 0.7 3.098039
13 M35 160 0.1 8 HCHCr 0.89 0.83 0.86 1.310031
14 M35 160 0.125 12 EN 31 0.93 0.75 0.84 1.514414
15 M35 160 0.15 4 H 11 0.75 0.77 0.76 2.383728
16 M35 244 0.1 12 H 11 0.84 0.96 0.9 0.91515
17 M35 244 0.125 4 HCHCr 0.99 1.05 1.02 -0.172
18 M35 244 0.15 8 EN 31 0.86 0.88 0.87 1.209615

CONCLUSIONS
The present study was carried out to study the effect of
input parameters on the surface roughness. The following
conclusions have been drawn from the study:
Surface roughness is mainly affected by work piece
material, drill diameter and cutting speed.
REFARENCE
[1] Palanikumar K., Parkash S. and ShanmuganK.,(2008),
“Evaluation of delamination in drilling GFRP composites”,
MaterialsandManufacturingprocess,Vol.23(8),pp.858-864.
[2] Taso C. C., (2008 , “Prediction of thrust force of step
drill in drilling composite material by Taguchi method and
radial basis function network”, International Journal of
Advanced,Manufacturing Technology, Vol. 36, pp. 11–18.
[3] Palanikumar K., (2010), “Modeling and Analysis of
Delamination factor & surface roughness in drilling GFRP
Composites”, MaterialsandManufacturingProcesses,Vol.25,
pp. 1059-1067.

Optimization of Cutting Parameters in CNC DRILLING of P30 tool Steel by using Taguchi Method

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Optimization of Cutting Parameters in CNC DRILLING of P30 tool Steel by using Taguchi Method