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NOVATEUR PUBLICATIONS
INTERNATIONAL JOURNAL OF INNOVATIONS IN ENGINEERING RESEARCH AND TECHNOLOGY [IJIERT]
ISSN: 2394-3696
VOLUME 2, ISSUE 9, SEP.-2015
OPTIMIZATION OF CUTTING PARAMETERS FOR
CUTTING FORCE IN TURNING OF AISI 904L STAINLESS
STEEL MATERIAL USING TAGUCHI METHOD
V. V. Potdar
Department of Mechanical Engineering,
A. G. Patil Institute of Technology,
Solapur University, Solapur, India
Umashankar Rawat
Department of Mechanical Engineering,
A. G. Patil Institute of Technology,
Solapur University, Solapur, India
ABSTRACT
Austenitic stainless steel is one of the most important engineering materials with wide variety
of applications. Superior resistance to corrosion and compatibility in high temperature and
high vacuum has particularly made it an attractive choice. However, the machinability of
austenitic stainless steel is not very promising owing to lower thermal conductivity, higher
degree of ductility and work harden ability. Chromium, Nickel, Copper and Molybdenum
gives 904L better corrosion resistance properties in sulphuric and phosphoric acid
environment. It has excellent forming and welding characteristics.
The present work is concentrated on dry turning of 904L. In this study the effect of cutting
parameters on cutting force is studied by experimentation. A plan of experiments is done by
Taguchi design of experiments to acquire data. The obtained data is validated by calculating
S/N ratio and plotting a graph.
KEY WORDS: Cutting force, Taguchi method, S/N ratio, turning
INTRODUCTION
Austenitic stainless steel is one of the highly consumed steel worldwide and it is commonly
used to fabricate chemical and food processing equipment, as well as machinery parts
requiring high corrosion resistance. It is also amongst the “difficult to cut” material and the
difficulties such as poor surface finish and high tool wear are common. The work hardening
and low thermal conductivity is recognized to be responsible for the poor machinability of
AISI304, AISI 904L austenitic stainless steels. In addition, they bond very strongly to cutting
tool during cutting and when chip is broken away, it may bring with it a fragment of cutting
tool. Little work has been reported on the determination of optimum machining parameters
during dry turning of austenitic stainless steels. [6] The need for selecting and implementing
optimal machining conditions and the most suitable cutting tool has been felt over the last few
decades. [5]
In turning operation, it is an important task to select cutting parameters for achieving high
cutting performance. Usually, the desired cutting parameters are determined based on
experience or by use of a handbook. However, this does not ensure that the selected cutting
NOVATEUR PUBLICATIONS
INTERNATIONAL JOURNAL OF INNOVATIONS IN ENGINEERING RESEARCH AND TECHNOLOGY [IJIERT]
ISSN: 2394-3696
VOLUME 2, ISSUE 9, SEP.-2015
parameters have optimal or near optimal cutting performance for a particular machine and
environment. [7]
Different procedures have been used by researchers from time to time for the process of
optimization. Taguchi method is an experimental method. It is effective methodology to find
out the effective performance and machining conditions. Taguchi parameter design offers a
simple, systematic approach and can reduce number of experiment to optimize design for
performance, quality and manufacturing cost. Signal to noise ratio and orthogonal array are
two major tools used in robust design. [11]
PROBLEM DEFINITION & PROPOSED METHODOLOGY
Problem Definition
As we know the stainless steel material AISI 904L is very difficult to machining due to
reasons such as having low thermal conductivity, high built up edge tendency and high
corrosive resistance. So study the effect of cutting parameters of AISI 904L on cutting force
by using Taguchi method.
Proposed Methodology
Considering the problem occurring while selecting parameters for machining of AISI 904L.
Here firstly we selected the tool insert for machining of AISI 904L, tool holder PCLNR
2525M12. After the selection of tool insert, and tool holder we selected the Taguchi technique
for performance of dry turning of AISI 904L in Taguchi method. Firstly we select the
orthogonal array and cutting parameters like cutting velocity, feed and depth of cut and the
reading are to be taken as per the orthogonal array selected. After taking the reading we
calculate the S/N ratios for cutting forces.
Steps in methodology
1. Selection of Taguchi method
2. Selection of machining conditions
3. Selection of work material
4. Machining using different parameters
5. Analysis and optimization of machining parameters
6. Result and discussion
EXPERIMENTATION
In this study, AISI 904L with Brinnel hardness of 187 (HBW is used as the work piece
material. Dimensions of the work piece are diameter Ø40 mm × length 200 mm. Lathe
(Maxcut PRH175) of maximum power 2 HP is used for experiments. The maximum RPM of
the lathe machine is 1535 rpm, photograph of the machine is shown in Fig 1. Machining
operations are performed with Coated carbide, CNMG 120408-5, TN4000 grade. Tool Holder
PCLNR 25*25-M12 (Korlay Make) is used for holding the insert.
NOVATEUR PUBLICATIONS
INTERNATIONAL JOURNAL OF INNOVATIONS IN ENGINEERING RESEARCH AND TECHNOLOGY [IJIERT]
ISSN: 2394-3696
VOLUME 2, ISSUE 9, SEP.-2015
Figure 1: Lathe Maxcut PRH175
Table 1: Experimental Condition
Selection of Machinability Characteristics
The effectiveness, efficiency and overall economy of machining of any work material by
given tools depend largely on the machinability characteristics of the tool-work materials
under the recommended condition. Machinability is usually judged by (i) cutting temperature,
which affects product quality, and cutting tool performance (ii) pattern and mode of chip
formation (iii) magnitude of the cutting forces, which affects power requirement, dimensional
accuracy and vibration and (iv) tool wear and tool life. In the present work, cutting force, chip
pattern, tool wear are considered for studying.
Cutting Force
It was necessary to design a fixture to mount a force dynamometer on the lathe in such a way
that tool tip will lie at the exact center of lathe axis. The cutting forces were measured using
piezoelectric dynamometer mounted on specially designed fixture. PCLNR 2525M12 tool
holder was used for holding the 25×25 shank size cutting tool.
Turning Conditions and Experimental Design
Type of cutting velocity, feed rate and depth of cut are considered as turning parameters. The
ranges of turning parameters are selected as recommended from the tool manufacturer. The
turning factors and their levels are shown in Table 1. Experimental plan is organized
Work piece material AISI 904L
Insert used Coated Carbide tool insert
Insert Designation CNMG 120408-5 TN4000
Spindle Speed (rpm) 202, 303, 455
Feed (mm/rev) 0.133, 0.167, 0.267
Depth of cut (mm) 0.15, 0.2, 0.25
Environment Dry
NOVATEUR PUBLICATIONS
INTERNATIONAL JOURNAL OF INNOVATIONS IN ENGINEERING RESEARCH AND TECHNOLOGY [IJIERT]
ISSN: 2394-3696
VOLUME 2, ISSUE 9, SEP.-2015
according to the Taguchi method for the three factors and three level design (L27 orthogonal
array). Reducing the large numbers of experiments by Taguchi method is important for robust
design in experimental investigations. This method designs certain standard orthogonal arrays
by which the simultaneous and independent evaluation of two or more parameters for their
ability to affect the variability of a particular product or process characteristics could be done
in a minimum number of tests Loss function is the main analysis parameter and calculated for
the deviations between the experimental and desired values. This function relocate to S/N
(dB) has a ratio of the wanted signal to unwanted random noise; it represents quality
characteristics for the observed data.
In optimizing process, there are three S/N ratios characteristics; the lower -- the better, the
higher--the better and the nominal--the better. In this work, cutting force for obtaining of
optimal conditions are investigated and the lower-the better is selected in experimental plan
since the objective of project is minimization of cutting forces.
Table 2: Responses of Experiments for Cutting force
Sr No.
SPEED
(rpm)
Feed
(mm/rev)
DOC
(mm)
Cutting
force (Fc),
Kg.
1 202 0.133 0.15 13
2 202 0.133 0.2 08
3 202 0.133 0.25 21
4 202 0.167 0.15 12
5 202 0.167 0.2 16
6 202 0.167 0.25 18
7 202 0.267 0.15 12
8 202 0.267 0.2 20
9 202 0.267 0.25 21
10 303 0.133 0.15 08
11 303 0.133 0.2 12
12 303 0.133 0.25 14
13 303 0.167 0.15 10
14 303 0.167 0.2 13
15 303 0.167 0.25 15
16 303 0.267 0.15 10
17 303 0.267 0.2 15
18 303 0.267 0.25 19
19 455 0.133 0.15 04
20 455 0.133 0.2 08
21 455 0.133 0.25 08
22 455 0.167 0.15 05
23 455 0.167 0.2 10
24 455 0.167 0.25 10
25 455 0.267 0.15 06
26 455 0.267 0.2 12
27 455 0.267 0.25 18
NOVATEUR PUBLICATIONS
INTERNATIONAL JOURNAL OF INNOVATIONS IN ENGINEERING RESEARCH AND TECHNOLOGY [IJIERT]
ISSN: 2394-3696
VOLUME 2, ISSUE 9, SEP.-2015
Statistical Analysis of Experimental Results
Analyses of S/N are applied for statistical analyses of experimental results. An analysis of
S/N is important for optimum points.
Analysis of S/N
The performances of new optimal cutting conditions are analyzed by Taguchi’s the lower the
better quality characteristic (S/N ratio) for cutting force. S/N (dB) ratio is calculated using the
following equation:
Where n is number of measurements in a trial/row and yi is the ith measured value in a
run/row. Table 5 shows values of S/N ratios for observations of the cutting force.
Table 3:- Corresponding S/N (dB) ratio
Sr. No.
SPEED
(rpm)
Feed
(mm/rev)
DOC
(mm)
Cutting
force (Fc),
Kg.
SN for Fc
1 202 0.133 0.15 13 -22.2789
2 202 0.133 0.2 08 -18.0618
3 202 0.133 0.25 21 -26.4444
4 202 0.167 0.15 12 -21.5836
5 202 0.167 0.2 16 -24.0824
6 202 0.167 0.25 18 -25.1055
7 202 0.267 0.15 12 -21.5836
8 202 0.267 0.2 20 -26.0206
9 202 0.267 0.25 21 -26.4444
10 303 0.133 0.15 08 -18.0618
11 303 0.133 0.2 12 -21.5836
12 303 0.133 0.25 14 -22.9226
13 303 0.167 0.15 10 -20.0000
14 303 0.167 0.2 13 -22.2789
15 303 0.167 0.25 15 -23.5218
16 303 0.267 0.15 10 -20.0000
17 303 0.267 0.2 15 -23.5218
18 303 0.267 0.25 19 -25.5751
19 455 0.133 0.15 04 -12.0412
20 455 0.133 0.2 08 -18.0618
21 455 0.133 0.25 08 -18.0618
22 455 0.167 0.15 05 -13.9794
23 455 0.167 0.2 10 -20.0000
24 455 0.167 0.25 10 -20.0000
25 455 0.267 0.15 06 -15.563
26 455 0.267 0.2 12 -21.5836
27 455 0.267 0.25 18 -25.1055
NOVATEUR PUBLICATIONS
INTERNATIONAL JOURNAL OF INNOVATIONS IN ENGINEERING RESEARCH AND TECHNOLOGY [IJIERT]
ISSN: 2394-3696
VOLUME 2, ISSUE 9, SEP.-2015
Figure 2: shows main effect plot for the optimal turning parameters for the cutting
forces
CONCLUSIONS
1) As spindle speed increases cutting force decreases and lowest value of cutting force is
observed at spindle speed 455 rpm.
2) As the feed rate increases cutting force increases and lowest value of cutting force is
observed at the feed rate 0.133 mm/rev
3) As the depth of cut increases cutting force increases and lowest value of cutting is
observed at depth of cut 0.15 mm.
ACKNOWLEDGEMENT
This paper bears impart of many people. It is joyful occasion for all of us to publish our paper.
I would like to express my deep sense of gratitude to my guide, teachers and friends for
giving valuable time, precious guidance which helped us in completion of paper successfully.
REFERENCES
[1] Nithyanandhan T. et al “Optimization of Cutting Forces, Tool Wear and Surface Finish in
Machining of AISI 304 Stainless Steel Material Using Taguchi’s Method”, International
Journal of Innovative Science, Engineering & Technology, Vol. 1 Issue 4, June 2014, page
488-493.
[2] D. Philip Selvaraj et al “Optimization of surface roughness of AISI 304 austenitic stainless
steel in dry turning operation using Taguchi method”, Journal of Engineering Science and
Technology Vol. 5, No. 3 (2010) page 293 – 301, © School of Engineering, Taylor’s
University College.
NOVATEUR PUBLICATIONS
INTERNATIONAL JOURNAL OF INNOVATIONS IN ENGINEERING RESEARCH AND TECHNOLOGY [IJIERT]
ISSN: 2394-3696
VOLUME 2, ISSUE 9, SEP.-2015
[3] Samrudhi Rao et al “An Overview of Taguchi Method: Evolution, Concept and
Interdisciplinary Applications”, International Journal of Scientific & Engineering Research,
Volume 4, Issue 10, October-2013, page 621-626.
[4] Krishankant et al “Application of Taguchi Method for Optimizing Turning Process by the
effects of Machining Parameters”, International Journal of Engineering and Advanced
Technology (IJEAT) ISSN: 2249 – 8958, Volume-2, Issue-1, October 2012, page 263-274.
[5] Quazi T Z et al “a case study of Taguchi method in the optimization of turning
parameters”, International Journal of Emerging Technology and Advanced Engineering
Website: www.ijetae.com (ISSN 2250-2459, ISO 9001:2008 Certified Journal, Volume 3,
Issue 2, February 2013), page 616-626.
[6] Atul Kulkarni et al “Design optimization of cutting parameters for turning of AISI 304
austenic stainless steel using Taguchi method”, Indian Journal of engineering & material
sciences, vol. 20, August 2013, page 252-258.
[7] W. H. Yang et al “Design optimization of cutting parameters for turning operations based
on Taguchi method”, Journal of materials processing technology 84(1998), page 122-129
[8] M. Adinarayana et al “Parametric analysis and multi objective optimization of cutting
parameters in turning operation of AISI 4340 ally steel with CVD cutting tool”, International
Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308,
page 449-456.
[9] Vikas B. Magdum et al “Evaluation and Optimization of Machining Parameter for
turning of EN 8 steel”, International Journal of Engineering Trends and Technology (IJETT)
- Volume4 Issue5- May 2013, page 1564-1568.
[10] Mihir T. Patel et al “Optimization of Machining Parameters for Turning Different Alloy
Steel Using CNC - Review”, International Journal of Innovative Research in Science,
Engineering and Technology (An ISO 3297: 2007 Certified Organization) Vol. 3, Issue 2,
February 2014, page 9423-9430.

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OPTIMIZATION OF CUTTING PARAMETERS FOR CUTTING FORCE IN TURNING OF AISI 904L STAINLESS STEEL MATERIAL USING TAGUCHI METHOD

  • 1. NOVATEUR PUBLICATIONS INTERNATIONAL JOURNAL OF INNOVATIONS IN ENGINEERING RESEARCH AND TECHNOLOGY [IJIERT] ISSN: 2394-3696 VOLUME 2, ISSUE 9, SEP.-2015 OPTIMIZATION OF CUTTING PARAMETERS FOR CUTTING FORCE IN TURNING OF AISI 904L STAINLESS STEEL MATERIAL USING TAGUCHI METHOD V. V. Potdar Department of Mechanical Engineering, A. G. Patil Institute of Technology, Solapur University, Solapur, India Umashankar Rawat Department of Mechanical Engineering, A. G. Patil Institute of Technology, Solapur University, Solapur, India ABSTRACT Austenitic stainless steel is one of the most important engineering materials with wide variety of applications. Superior resistance to corrosion and compatibility in high temperature and high vacuum has particularly made it an attractive choice. However, the machinability of austenitic stainless steel is not very promising owing to lower thermal conductivity, higher degree of ductility and work harden ability. Chromium, Nickel, Copper and Molybdenum gives 904L better corrosion resistance properties in sulphuric and phosphoric acid environment. It has excellent forming and welding characteristics. The present work is concentrated on dry turning of 904L. In this study the effect of cutting parameters on cutting force is studied by experimentation. A plan of experiments is done by Taguchi design of experiments to acquire data. The obtained data is validated by calculating S/N ratio and plotting a graph. KEY WORDS: Cutting force, Taguchi method, S/N ratio, turning INTRODUCTION Austenitic stainless steel is one of the highly consumed steel worldwide and it is commonly used to fabricate chemical and food processing equipment, as well as machinery parts requiring high corrosion resistance. It is also amongst the “difficult to cut” material and the difficulties such as poor surface finish and high tool wear are common. The work hardening and low thermal conductivity is recognized to be responsible for the poor machinability of AISI304, AISI 904L austenitic stainless steels. In addition, they bond very strongly to cutting tool during cutting and when chip is broken away, it may bring with it a fragment of cutting tool. Little work has been reported on the determination of optimum machining parameters during dry turning of austenitic stainless steels. [6] The need for selecting and implementing optimal machining conditions and the most suitable cutting tool has been felt over the last few decades. [5] In turning operation, it is an important task to select cutting parameters for achieving high cutting performance. Usually, the desired cutting parameters are determined based on experience or by use of a handbook. However, this does not ensure that the selected cutting
  • 2. NOVATEUR PUBLICATIONS INTERNATIONAL JOURNAL OF INNOVATIONS IN ENGINEERING RESEARCH AND TECHNOLOGY [IJIERT] ISSN: 2394-3696 VOLUME 2, ISSUE 9, SEP.-2015 parameters have optimal or near optimal cutting performance for a particular machine and environment. [7] Different procedures have been used by researchers from time to time for the process of optimization. Taguchi method is an experimental method. It is effective methodology to find out the effective performance and machining conditions. Taguchi parameter design offers a simple, systematic approach and can reduce number of experiment to optimize design for performance, quality and manufacturing cost. Signal to noise ratio and orthogonal array are two major tools used in robust design. [11] PROBLEM DEFINITION & PROPOSED METHODOLOGY Problem Definition As we know the stainless steel material AISI 904L is very difficult to machining due to reasons such as having low thermal conductivity, high built up edge tendency and high corrosive resistance. So study the effect of cutting parameters of AISI 904L on cutting force by using Taguchi method. Proposed Methodology Considering the problem occurring while selecting parameters for machining of AISI 904L. Here firstly we selected the tool insert for machining of AISI 904L, tool holder PCLNR 2525M12. After the selection of tool insert, and tool holder we selected the Taguchi technique for performance of dry turning of AISI 904L in Taguchi method. Firstly we select the orthogonal array and cutting parameters like cutting velocity, feed and depth of cut and the reading are to be taken as per the orthogonal array selected. After taking the reading we calculate the S/N ratios for cutting forces. Steps in methodology 1. Selection of Taguchi method 2. Selection of machining conditions 3. Selection of work material 4. Machining using different parameters 5. Analysis and optimization of machining parameters 6. Result and discussion EXPERIMENTATION In this study, AISI 904L with Brinnel hardness of 187 (HBW is used as the work piece material. Dimensions of the work piece are diameter Ø40 mm × length 200 mm. Lathe (Maxcut PRH175) of maximum power 2 HP is used for experiments. The maximum RPM of the lathe machine is 1535 rpm, photograph of the machine is shown in Fig 1. Machining operations are performed with Coated carbide, CNMG 120408-5, TN4000 grade. Tool Holder PCLNR 25*25-M12 (Korlay Make) is used for holding the insert.
  • 3. NOVATEUR PUBLICATIONS INTERNATIONAL JOURNAL OF INNOVATIONS IN ENGINEERING RESEARCH AND TECHNOLOGY [IJIERT] ISSN: 2394-3696 VOLUME 2, ISSUE 9, SEP.-2015 Figure 1: Lathe Maxcut PRH175 Table 1: Experimental Condition Selection of Machinability Characteristics The effectiveness, efficiency and overall economy of machining of any work material by given tools depend largely on the machinability characteristics of the tool-work materials under the recommended condition. Machinability is usually judged by (i) cutting temperature, which affects product quality, and cutting tool performance (ii) pattern and mode of chip formation (iii) magnitude of the cutting forces, which affects power requirement, dimensional accuracy and vibration and (iv) tool wear and tool life. In the present work, cutting force, chip pattern, tool wear are considered for studying. Cutting Force It was necessary to design a fixture to mount a force dynamometer on the lathe in such a way that tool tip will lie at the exact center of lathe axis. The cutting forces were measured using piezoelectric dynamometer mounted on specially designed fixture. PCLNR 2525M12 tool holder was used for holding the 25×25 shank size cutting tool. Turning Conditions and Experimental Design Type of cutting velocity, feed rate and depth of cut are considered as turning parameters. The ranges of turning parameters are selected as recommended from the tool manufacturer. The turning factors and their levels are shown in Table 1. Experimental plan is organized Work piece material AISI 904L Insert used Coated Carbide tool insert Insert Designation CNMG 120408-5 TN4000 Spindle Speed (rpm) 202, 303, 455 Feed (mm/rev) 0.133, 0.167, 0.267 Depth of cut (mm) 0.15, 0.2, 0.25 Environment Dry
  • 4. NOVATEUR PUBLICATIONS INTERNATIONAL JOURNAL OF INNOVATIONS IN ENGINEERING RESEARCH AND TECHNOLOGY [IJIERT] ISSN: 2394-3696 VOLUME 2, ISSUE 9, SEP.-2015 according to the Taguchi method for the three factors and three level design (L27 orthogonal array). Reducing the large numbers of experiments by Taguchi method is important for robust design in experimental investigations. This method designs certain standard orthogonal arrays by which the simultaneous and independent evaluation of two or more parameters for their ability to affect the variability of a particular product or process characteristics could be done in a minimum number of tests Loss function is the main analysis parameter and calculated for the deviations between the experimental and desired values. This function relocate to S/N (dB) has a ratio of the wanted signal to unwanted random noise; it represents quality characteristics for the observed data. In optimizing process, there are three S/N ratios characteristics; the lower -- the better, the higher--the better and the nominal--the better. In this work, cutting force for obtaining of optimal conditions are investigated and the lower-the better is selected in experimental plan since the objective of project is minimization of cutting forces. Table 2: Responses of Experiments for Cutting force Sr No. SPEED (rpm) Feed (mm/rev) DOC (mm) Cutting force (Fc), Kg. 1 202 0.133 0.15 13 2 202 0.133 0.2 08 3 202 0.133 0.25 21 4 202 0.167 0.15 12 5 202 0.167 0.2 16 6 202 0.167 0.25 18 7 202 0.267 0.15 12 8 202 0.267 0.2 20 9 202 0.267 0.25 21 10 303 0.133 0.15 08 11 303 0.133 0.2 12 12 303 0.133 0.25 14 13 303 0.167 0.15 10 14 303 0.167 0.2 13 15 303 0.167 0.25 15 16 303 0.267 0.15 10 17 303 0.267 0.2 15 18 303 0.267 0.25 19 19 455 0.133 0.15 04 20 455 0.133 0.2 08 21 455 0.133 0.25 08 22 455 0.167 0.15 05 23 455 0.167 0.2 10 24 455 0.167 0.25 10 25 455 0.267 0.15 06 26 455 0.267 0.2 12 27 455 0.267 0.25 18
  • 5. NOVATEUR PUBLICATIONS INTERNATIONAL JOURNAL OF INNOVATIONS IN ENGINEERING RESEARCH AND TECHNOLOGY [IJIERT] ISSN: 2394-3696 VOLUME 2, ISSUE 9, SEP.-2015 Statistical Analysis of Experimental Results Analyses of S/N are applied for statistical analyses of experimental results. An analysis of S/N is important for optimum points. Analysis of S/N The performances of new optimal cutting conditions are analyzed by Taguchi’s the lower the better quality characteristic (S/N ratio) for cutting force. S/N (dB) ratio is calculated using the following equation: Where n is number of measurements in a trial/row and yi is the ith measured value in a run/row. Table 5 shows values of S/N ratios for observations of the cutting force. Table 3:- Corresponding S/N (dB) ratio Sr. No. SPEED (rpm) Feed (mm/rev) DOC (mm) Cutting force (Fc), Kg. SN for Fc 1 202 0.133 0.15 13 -22.2789 2 202 0.133 0.2 08 -18.0618 3 202 0.133 0.25 21 -26.4444 4 202 0.167 0.15 12 -21.5836 5 202 0.167 0.2 16 -24.0824 6 202 0.167 0.25 18 -25.1055 7 202 0.267 0.15 12 -21.5836 8 202 0.267 0.2 20 -26.0206 9 202 0.267 0.25 21 -26.4444 10 303 0.133 0.15 08 -18.0618 11 303 0.133 0.2 12 -21.5836 12 303 0.133 0.25 14 -22.9226 13 303 0.167 0.15 10 -20.0000 14 303 0.167 0.2 13 -22.2789 15 303 0.167 0.25 15 -23.5218 16 303 0.267 0.15 10 -20.0000 17 303 0.267 0.2 15 -23.5218 18 303 0.267 0.25 19 -25.5751 19 455 0.133 0.15 04 -12.0412 20 455 0.133 0.2 08 -18.0618 21 455 0.133 0.25 08 -18.0618 22 455 0.167 0.15 05 -13.9794 23 455 0.167 0.2 10 -20.0000 24 455 0.167 0.25 10 -20.0000 25 455 0.267 0.15 06 -15.563 26 455 0.267 0.2 12 -21.5836 27 455 0.267 0.25 18 -25.1055
  • 6. NOVATEUR PUBLICATIONS INTERNATIONAL JOURNAL OF INNOVATIONS IN ENGINEERING RESEARCH AND TECHNOLOGY [IJIERT] ISSN: 2394-3696 VOLUME 2, ISSUE 9, SEP.-2015 Figure 2: shows main effect plot for the optimal turning parameters for the cutting forces CONCLUSIONS 1) As spindle speed increases cutting force decreases and lowest value of cutting force is observed at spindle speed 455 rpm. 2) As the feed rate increases cutting force increases and lowest value of cutting force is observed at the feed rate 0.133 mm/rev 3) As the depth of cut increases cutting force increases and lowest value of cutting is observed at depth of cut 0.15 mm. ACKNOWLEDGEMENT This paper bears impart of many people. It is joyful occasion for all of us to publish our paper. I would like to express my deep sense of gratitude to my guide, teachers and friends for giving valuable time, precious guidance which helped us in completion of paper successfully. REFERENCES [1] Nithyanandhan T. et al “Optimization of Cutting Forces, Tool Wear and Surface Finish in Machining of AISI 304 Stainless Steel Material Using Taguchi’s Method”, International Journal of Innovative Science, Engineering & Technology, Vol. 1 Issue 4, June 2014, page 488-493. [2] D. Philip Selvaraj et al “Optimization of surface roughness of AISI 304 austenitic stainless steel in dry turning operation using Taguchi method”, Journal of Engineering Science and Technology Vol. 5, No. 3 (2010) page 293 – 301, © School of Engineering, Taylor’s University College.
  • 7. NOVATEUR PUBLICATIONS INTERNATIONAL JOURNAL OF INNOVATIONS IN ENGINEERING RESEARCH AND TECHNOLOGY [IJIERT] ISSN: 2394-3696 VOLUME 2, ISSUE 9, SEP.-2015 [3] Samrudhi Rao et al “An Overview of Taguchi Method: Evolution, Concept and Interdisciplinary Applications”, International Journal of Scientific & Engineering Research, Volume 4, Issue 10, October-2013, page 621-626. [4] Krishankant et al “Application of Taguchi Method for Optimizing Turning Process by the effects of Machining Parameters”, International Journal of Engineering and Advanced Technology (IJEAT) ISSN: 2249 – 8958, Volume-2, Issue-1, October 2012, page 263-274. [5] Quazi T Z et al “a case study of Taguchi method in the optimization of turning parameters”, International Journal of Emerging Technology and Advanced Engineering Website: www.ijetae.com (ISSN 2250-2459, ISO 9001:2008 Certified Journal, Volume 3, Issue 2, February 2013), page 616-626. [6] Atul Kulkarni et al “Design optimization of cutting parameters for turning of AISI 304 austenic stainless steel using Taguchi method”, Indian Journal of engineering & material sciences, vol. 20, August 2013, page 252-258. [7] W. H. Yang et al “Design optimization of cutting parameters for turning operations based on Taguchi method”, Journal of materials processing technology 84(1998), page 122-129 [8] M. Adinarayana et al “Parametric analysis and multi objective optimization of cutting parameters in turning operation of AISI 4340 ally steel with CVD cutting tool”, International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308, page 449-456. [9] Vikas B. Magdum et al “Evaluation and Optimization of Machining Parameter for turning of EN 8 steel”, International Journal of Engineering Trends and Technology (IJETT) - Volume4 Issue5- May 2013, page 1564-1568. [10] Mihir T. Patel et al “Optimization of Machining Parameters for Turning Different Alloy Steel Using CNC - Review”, International Journal of Innovative Research in Science, Engineering and Technology (An ISO 3297: 2007 Certified Organization) Vol. 3, Issue 2, February 2014, page 9423-9430.