To analyses the effects of turning parameters on

IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308
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Volume: 02 Issue: 09 | Sep-2013, Available @ http://www.ijret.org 538
TO ANALYSES THE EFFECTS OF TURNING PARAMETERS ON
MATERIAL REMOVAL RATE OF AISI 4041 DIE ALLOY STEEL
Nirpaksh Uppal1
, Rohit Rampal2
, Charanjeet Singh Sandhu3
1
Student of M.Tech, Dept. of Production Engineering, nirpakash.uppal@gmail.com
2&3
Assistant Professor, Dept. of Mechanical Engineering, SUSCET TANGORI, Punjab, India
rampal_rohit86@yahoo.co.in, jimmychanni987@yahoo.co.in
Abstract
This experimental investigation analyses the influence of cutting conditions on material removal rate (MRR) during turning of AISI
4041 die alloy steel. Analysis of variance (ANOVA) is employed to investigate the influence of cutting speed, feed rate, and depth of
cut on material removal rate (MRR). Conducting the experiments by varying the parameters of turning like cutting speed from 100
m/min to 300 m/min, feed 0.02 mm/rev to 0.06 mm/rev, and depth of cut from 0.2 mm to 0.7 mm are studied in details according to
Taguhi's design of experiments. At last results are analyzed using Taguchi, ANOVA and parametric optimization is done for maximum
material removal rate (MRR). From the experimentation, it is concluded that for turning of AISI 4041 die alloy steel optimum
machining condition for higher material removal rate (MRR) with cutting speed (300 m/min), feed rate (0.06 mm/rev), and depth of
cut (0.2 mm).
Index Terms: ANOVA, MRR, Taguch.
--------------------------------------------------------------------***----------------------------------------------------------------------
1. INTRODUCTION
AISI 4041 die alloy steel have been increasingly used by
manufacturing industry. They offer a range of properties not
seen in other types of steel: high strength, wear resistance,
fatigue resistance, toughness and high hardness. The versatile
properties of AISI 4041 die alloy steel render them suitable for
applications in manufacturing industries.
Ersan Aslan et al. (2007) presented an experimental study to
show the combined effects of three cutting parameters, namely
cutting speed, feed rate and depth of cut on two performance
measures, flank wear (VB) and surface roughness (Ra), were
investigated employing an orthogonal array and the analysis of
variance (ANOVA). Optimal cutting parameters for each
performance measure were obtained; also the relationship
between the parameters and the performance measures were
determined using multiple linear regression. Gaurav Bartarya,
and S.K.Choudhury (2012) present work is an attempt to
develop a force prediction model during finish machining of
EN31 steel (equivalent to AISI 52100 steel) hardened to 60±2
HRC using hone edge uncoated CBN tool and to analyze the
combination of the machining parameters for better
performance within a selected range of machining parameters.
Yilong Wang et al. (2011) investigated two solutions, namely
plasma nitriding treatment for work piece surface modification
and elliptical vibration cutting for cutting process
modification, to determine their effect on reducing tool wear
in diamond machining of AISI 4140 die steel. Further more a
new approach by combining the two solutions was also
explored. Experimental results showed that diamond tool wear
could be reduced by several orders of magnitude and mirror-
quality surface can be obtained by using either the plasma
nitriding treatment or the elliptical vibration cutting. R. Suresh
et al. (2012) study, performance of multilayer hard coatings
(TiC/TiCN/Al2O3) on cemented carbide substrate using
chemical vapor deposition (CVD) for machining of hardened
AISI 4340 steel was evaluated. An attempt has been made to
analyze the effects of process parameters on machinability
aspects using Taguchi technique. Response surface plots are
generated for the study of interaction effects of cutting
conditions on machinability factors.
This necessitates a process optimization to determine optimal
values of cutting parameters, such as cutting speed, feed rate
and depth of cut, to fully evaluate the performance of turning
on hardened materials. The present study is an attempt to
achieve this goal when turning hardened AISI 4041 die alloy
steel.
2 EXPERIMENTAL PROCEDURE
Experiments will be conduct based on Taguchi’s method with
three factors at three levels each. The levels of parameters will
be deciding through detailed study of literature. The values
take by factor are termed to be levels. The factors will be
study and their levels chosen are detailed in the Table1.

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Table 1: Cutting Parameters and Their Levels to be used in
lathe Machine
S.No Input Parameters
Levels
1 2 3
1
Cutting Speed
(m/min)
100 200 300
2
Feed Rate
(mm/rev)
0.2 0.4 0.6
3
Depth of Cut
(mm)
0.2 0.5 0.7
Taguchi method, a powerful tool in the design of experiment,
is to be used to optimize the lathe machine parameters of
effective machining of AISI 4041 die alloy steel. Determine
the S/N ratio, and analysis of variance (ANOVA) for
indicating the most significant parameters affecting the
machining performance criteria, i.e., material removal rate.
3. RESULTS AND DISCUSSION
The investigated results of Material Removal Rate (MRR)
obtained during turning of AISI 4041 die alloy steel. The
results were obtained at variation of Cutting Speed e.g. from
100 to 300 m/min, feed rate e.g. from 0.2 to 0.6 mm/rev, and
depth of cut from 0.2 to 0.7 mm.
Fig 1: Showing the results of Turning Parameters on Mean of
MRR
321
3.0
2.5
2.0
1.5
1.0
321
321
3.0
2.5
2.0
1.5
1.0
Vc
MeanofMeans
FR
DC
Main Effects Plot for Means
Data Means
Fig 2: Showing the effect of Turning Parameters on Mean of
MRR
Fig 2 shows effect of various turning parameters on the mean
of MRR plotted utilizing the machining results obtained of
AISI 4041 die alloy steel. From the figure, it is observed that
the mean value of MRR is increase by increasing the Cutting
Speed from 100 to 200 m/min and 200 to 300 m/min. The
mean of MRR is increase by increasing the value of feed rate
from 0.2 to 0.4 mm/rev, and from 0.4 to 0.6 mm/rev. The
mean of MRR is decrease by increasing depth of cut from 0.2
to 0.5 mm and 0.5 to 0.7 mm.
321
10
5
0
321
321
10
5
0
Vc
MeanofSNratios
FR
DC
Main Effects Plot for SN ratios
Data Means
Signal-to-noise: Larger is better
Fig 3: Showing the effect of Turning Parameters on Mean of
S/N ratio of MRR
Fig 3 shows effect of various turning parameters on the mean
of S/N ratio of MRR plotted utilizing the machining results
obtained of AISI 4041 die alloy steel. From the figure, it is
observed that the mean value of S/N ratio of MRR is increase
by increasing the Cutting Speed from 100 to 200 m/min and
200 to 300 m/min. The mean of S/N ratio of MRR is increase
by increasing the value of feed rate from0.2 to 0.4 mm/rev,
and from 0.4 to 0.6 mm/rev. The mean of S/N ratio of MRR is
decrease by increasing depth of cut from 0.2 to 0.5 mm and
0.5 to 0.7 mm.

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The results are analyzed using ANOVA for identifying the
significant factor affecting the performance measure of turning
on AISI 4041 die alloy steel. An ANOVA result shows that
cutting speed and depth of cut are significant factor because
their P values for both are 0.000. Other factor feed rate is not
significant because their P value is larger than .05.
Fig 4: ANOVA Test for Means
1
1
0
2
-1
3
0 -1
1
M RR
FR
V c
DC 0
Hold Values
Surface Plot of MRR vs FR, Vc
Fig 5: Surface Plot of MRR, Cutting Speed vs. Feed Rate
Fig 5 shows the surface plot of MRR, cutting speed vs. feed
rate. From this figure it is clear that the maximum MRR is
notice at higher level of feed rate and higher level of cutting
speed.
1
1
0
2
-1
3
0 -1
1
MRR
DC
Vc
FR 0
Hold Values
Surface Plot of MRR vs DC, Vc
Fig 6: Surface Plot of MRR, Cutting Speed vs. Depth of Cut
Fig 6 shows the surface plot of MRR, cutting speed vs. depth
of cut. From this figure it is clear that the maximum MRR is
notice at higher level of depth of cut and higher level of
cutting speed.
1
0
2.0
2.2
-1
2.4
0 -1
1
MRR
DC
FR
Vc 0
Hold Values
Surface Plot of MRR vs DC, FR
Fig 7: Surface Plot of MRR, Depth of Cut vs. Feed Rate
Fig 7 shows the surface plot of MRR, Depth of Cut vs. feed
rate. From this figure it is clear that the maximum MRR is
notice at lower level of depth of cut and higher level of feed
rate
CONCLUSIONS
1. It is noted that the maximum value of MRR is 3.398
mm3/sec which is at 300 m/min cutting speed, 0.06 mm/rev
feed rate, and 0.2 mm depth of cut.
2. The mean value of MRR is larger for 300 m/min of cutting
speed which is 2.9946 mm3/sec.
3. It is observed that the mean value of MRR is larger for 0.06
mm/rev of feed rate which is around 1.9798 mm3/sec.
4. It is observed that the mean value of MRR is larger for 0.2
mm of depth of cut which is 2.1374 mm3/sec.
5. For AISI 4041 optimum machining condition for MRR with
cutting speed (300 rpm), feed rate (0.06 mm/rev), and depth of
cut (0.2 mm).
REFERENCES
[1] Ersan Aslan, Necip Camuscu, and Burak Birgoren,
“Design optimization of cutting parameters when
turning hardened AISI 4140 steel (63 HRC) with Al2O3
+ TiCN mixed ceramic tool”, Materials and Design 28
(2007) 1618–1622.
[2] Gaurav Bartarya, and S.K.Choudhury, “Effect of
cutting parameters on cutting force and surface
roughness during finish hard turning AISI52100 grade
steel”, Procedia CIRP 1 ( 2012 ) 651 – 656.
[3] Yilong Wang, Norikazu Suzuki, Eiji Shamoto, and
Qingliang Zhao,“Investigation of tool wear suppression

__________________________________________________________________________________________
in ultraprecision diamond machining of die steel”,
Precision Engineering 35 (2011) 677– 685.
[4] R. Suresh, S. Basavarajappa, and G.L. Samuel, “Some
studies on hard turning of AISI 4340 steel using
multilayer coated carbide tool”, Measurement 45
(2012) 1872–1884.
BIOGRAPHIES
Nirpakash Upaal is pursuing his part time
M.Tech from Shaheed Udam singh college of
engineering & technology tangori. he has
completed his B.tech from Shaheed Bhagat
singh college of engineering & technology
Ferozpur in 2010.he has published one paper
in international journal
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 expreince and area of interest is
non conventional machining .he has published research papers
in 2 international journals, 3 international conferences and 1
national conference.
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.

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