SlideShare a Scribd company logo
International Journal of Innovative Research in Advanced Engineering (IJIRAE) ISSN: 2349-2163
Issue 05, Volume 5 (May 2018) www.ijirae.com
___________________________________________________________________________________________________
IJIRAE: Impact Factor Value – SJIF: Innospace, Morocco (2016): 3.916 | PIF: 2.469 | Jour Info: 4.085 |
ISRAJIF (2017): 4.011 | Indexcopernicus: (ICV 2016): 64.35
IJIRAE © 2014- 18, All Rights Reserved Page –197
DRY TURNING OF AUSTENITIC STAINLESS STEEL
(316L) USING CVD COATED TOOL
Aby M Philip*
M.Tech. (Mech.) Student, Department of Mechanical Engineering,
National Institute of Technology, Silchar, Assam
abyphilip1992@gmail.com
Dr.Kalyan Chakraborty
Associate Professor, Department of Mechanical Engineering,
National Institute of Technology, Silchar, Assam
kalyan.ch2013@gmail.com
Manuscript History
Number: IJIRAE/RS/Vol.05/Issue05/MYAE10089
Received: 08, May 2018
Received: 14, May 2018
Final Correction: 19, May 2018
Final Accepted: 21, May 2018
Published: May 2018
Citation: Philip & Chakraborty (2018). DRY TURNING OF AUSTENITIC STAINLESS STEEL (316L) USING CVD
COATED TOOL. IJIRAE::International Journal of Innovative Research in Advanced Engineering, Volume V, 197-205.
doi://10.26562/IJIRAE.2018.MYAE10089
Editor: Dr.A.Arul L.S, Chief Editor, IJIRAE, AM Publications, India
Copyright: ©2018 This is an open access article distributed under the terms of the Creative Commons Attribution
License, Which Permits unrestricted use, distribution, and reproduction in any medium, provided the original author
and source are credited
Abstract— Austenitic Stainless steel (316L) is a low carbon high chromium containing high alloy steel, it has a good
number of application because of its high strength, high ductility and corrosion resistance. It is used in jet engine
parts, heat exchanger application and pharmaceutical application. It is compatible in cryogenic temperature to red
hot temperature. The paper presents an experimental investigation on different parameters which affect the cutting
process and also cause significant effect on the chip formation in machining of Austenitic Stainless steel (316L). In
this study, experiments were conducted on Austenitic Stainless steel (316L) at different cutting speed, feed and
depth of cut and the effect of different influential parameters on the process of chip formation has been studied
subsequently. Quality characteristic of machined item is depending much on material behaviour during machining.
Present experimental analysis on machining has been performed by implementing Von Mises stress evaluation
employing true stress-true strain behaviour of the materials under consideration. Experimental true stress-true
strain plot was required to find out the strength coefficient and strain hardening exponent of the material and using
the same, Von Mises stress was estimated by using material property consideration. Experimental study on
machining was performed on austenitic stainless steel (316L) to know the trend of variation of chip thickness, shear
angle, Von Mises stress and total work done with respect to cutting velocity. From the study it showed that
austenitic stainless steel gets work hardened at higher cutting speed. Therefore this type of material can be
machined at lower cutting speed only.
Keywords— Metal cutting; machining; chip thickness; work hardening; machinability ;
I. INTRODUCTION
Stainless steel has a great importance in manufacturing industries. It has a wide application in many fields as it has a
great combination of mechanical properties and higher corrosion resistance. During fabrication the properties of
the material can change due to machining condition.
International Journal of Innovative Research in Advanced Engineering (IJIRAE) ISSN: 2349-2163
Issue 05, Volume 5 (May 2018) www.ijirae.com
_________________________________________________________________________________________________
IJIRAE: Impact Factor Value – SJIF: Innospace, Morocco (2016): 3.916 | PIF: 2.469 | Jour Info: 4.085 |
ISRAJIF (2017): 4.011 | Indexcopernicus: (ICV 2016): 64.35
IJIRAE © 2014- 18, All Rights Reserved Page –198
Stainless steel can be classified on the basis of their crystalline structure as austenitic, ferritic and martensitic.
Austenitic stainless steel has a great application. It is compatible from cryogenic temperature to red hot
temperature. Austenitic structure gives excellent toughness in cryogenic temperature and has high formability and
strength. These are generally used in fabrication of food processing and chemical equipment and in machineries
which require high corrosion resistance e.g. in marine engines and in heat exchangers. Austenitic stainless steel
work hardens when it is deformed, this property of austenitic stainless steel is known as transformation induced
plasticity property.
Austenitic stainless steel is having high tendency to work harden and to form built up edge, its machinability is
affected adversely due to this. The machinability of this material is also affected because of higher strength and
lower thermal conductivity. The tendency of austenitic stainless steel to work harden causes superior tool wear
causing poorer surface finish. Austenite is also known as gamma phase of iron. As temperature of alpha iron changes
from 912°C – 1394°C, it causes a phase transformation from body centered to face centered cubic structure known
as gamma iron. Higher amount of nickel in this material act as a austenite stabilizer. Because of its stable austenitic
microstructure, it possesses certain characteristic such as ductility, good weldability, formability and maintains
toughness at cryogenic temperature. Austenitic stainless steel contains chromium to enhance the corrosion
resistance.
The present work is aimed at experimental investigation of chip formation process, through machining of austenitic
stainless steel (316L), giving more emphasis on to the effect of material properties during chip formation. Quality
characteristic of machined item relies on properties of material during machining. The formation of plasticity
transition of the material creates a complex situation during machining. The quality characteristic of the machined
item depends much on formation of different phenomena particularly in the transitional and secondary flow regions.
Assessment on the development of Von Mises stress during machining is an essential task. The experimental
investigation has been carried out to asses Von Mises stress through tensile testing analysis of the material. Material
properties “n” and “K” are required for estimation of Von Mises stress. Therefore, a correlation can be formed
between the plasticity transition and subsequent loading. The Von Mises stress was estimated by considering
material property. In addition, total work done during machining was also estimated through material property
consideration in terms of "n" and "K". The formation of machining chip is rigorously depending on plastic
deformation. These chips are developed under both high strain and high strain rate conditions. Thickness of chip
shows the extent of plastic distortions that occurred as a result of machining. Therefore full integrated investigation
needs to be performed from plasticity transition point of view. The thickness of chip plays a crucial role in
experimental studies. However the measurement of chip thickness is usually problematic due to the occurrence of
chip curls. Conventional measuring instruments like micrometre, Vernier-calliper etc.is not suitable. Therefore
measurement of the chip length and weight were used to estimate the thickness of the chip. Experimental study on
machining was carried out on austenitic stainless steel (316L) to understand the effect of chip thickness, shear angle,
total work done and Von Mises stress with respect to cutting speed. Macroscopic examination of chip sample was
done under various experimental conditions. The analysis was further carried out by performing SEM examination
of various chips at different magnifications.
II. EXPERIMENTAL ANALYSIS
The assessment of machinability of Austenitic stainless steel (316L) was done on the basis of generation of Von
Mises stress and chip formation mechanism. The workpiece is of dimension as 300mm length and 60mm diameter.
The cutting tool used is Tungaloy made (chemical vapour deposition (CVD) coated carbide grades consist of a
cemented carbide substrate TiCN). Coatings are deposited to 3 to 16 μm thick by means of a chemical vapour
deposition method. The coating layer is hard and improves heat and oxidation resistance to make it chemically
stable. With these advantages the coated grades prolong tool life and increase machining efficiency.
TABLE I Chemical composition of austenitic stainless steel (316L)
C% Mn% Si% P% Cr% Ni% Mo% S% Fe
0.010 1.623 0.321 0.010 16.122 10.147 2.123 0.005 Balanced
Central lathe is used for turning operation, with all gear drive having speed range from 45 rpm to 1000 rpm and
feed range 0.06 mm/rev to 1.72 mm/rev
A. Tool Used
Holder Specification: ASBNR 25*25 M12-A
Carbide inserts Specification: SNMG 120404 TM T9125
International Journal of Innovative Research in Advanced Engineering (IJIRAE) ISSN: 2349-2163
Issue 05, Volume 5 (May 2018) www.ijirae.com
_________________________________________________________________________________________________
IJIRAE: Impact Factor Value – SJIF: Innospace, Morocco (2016): 3.916 | PIF: 2.469 | Jour Info: 4.085 |
ISRAJIF (2017): 4.011 | Indexcopernicus: (ICV 2016): 64.35
IJIRAE © 2014- 18, All Rights Reserved Page –199
B. Selection of Process parameters
The parameters for machining were selected on the basis of values available on the lathe. The values available on
the lathe are shown in Table II.
TABLE II Machining parameters
Coding -√2 -1 0 1 √2
Speed (m/min) 10.23 14.24 31.65 70.34 97.9
Feed (mm/rev) 0.01 0.11 0.14 0.18 0.20
DOC(mm) 0.56 0.67 1 1.5 1.77
Central composite design of the input parameters was followed for the analysis of the machining operation of the
workpiece. 24 different combinations of these machining parameters were used to perform this experiment. After
mounting, machining operation is carried out with these parameters using Tungaloy made cutting tool. For each
cutting parameters chips formed are collected. These are given in Table III.
TABLE III Different combination of cutting parameters used in machining
Sr No. Assigned Code
v f d
Speed(v)
(m/min)
Feed(f)
(mm/rev)
Depth of cut(d)
(mm)
1 1 1 1 70.34 0.18 1.5
2 1 1 -1 70.34 0.18 0.67
3 1 -1 1 70.34 0.11 1.5
4 1 -1 -1 70.34 0.11 0.67
5 -1 1 1 14.24 0.18 1.5
6 -1 1 -1 14.24 0.18 0.67
7 -1 -1 1 14.24 0.11 1.5
8 -1 -1 -1 14.24 0.11 0.67
9 √2 0 0 97.90 0.14 1
10 -√2 0 0 10.23 0.14 1
11 0 √2 0 31.65 0.20 1
12 0 -√2 0 31.65 0.01 1
13 0 0 √2 31.65 0.14 1.77
14 0 0 -√2 31.65 0.14 0.56
15 0 0 0 31.65 0.14 1
16 0 0 0 31.65 0.14 1
17 0 0 0 31.65 0.14 1
18 0 0 0 31.65 0.14 1
19 √2 0 0 97.90 0.14 1
20 -√2 0 0 10.23 0.14 1
21 0 √2 0 31.65 0.20 1
22 0 -√2 0 31.65 0.01 1
23 0 0 √2 31.65 0.14 1.77
24 0 0 -√2 31.65 0.14 0.563
Fig. 1 Austenitic stainless steel (316L) mounted on lathe
International Journal of Innovative Research in Advanced Engineering (IJIRAE) ISSN: 2349-2163
Issue 05, Volume 5 (May 2018) www.ijirae.com
_________________________________________________________________________________________________
IJIRAE: Impact Factor Value – SJIF: Innospace, Morocco (2016): 3.916 | PIF: 2.469 | Jour Info: 4.085 |
ISRAJIF (2017): 4.011 | Indexcopernicus: (ICV 2016): 64.35
IJIRAE © 2014- 18, All Rights Reserved Page –200
III.THEORY AND RESULT
After performing the machining operation, chip thickness was measured for different experiments and subsequently
chip reduction coefficient, shear angle, Von Mises stress and Total Work done were also calculated. Chip thickness,
Width of the chip, Uncut chip thickness, Chip reduction coefficient, Shear angle, Von Mises stress are calculated from
the theoretical relations which are shown in equations given below.
Chip thickness t2 =
Where, t2 =Chip thickness
W = Weight of chip in grams
= Density of chip in g/cm3
w = Width of chip in cm
= Average length of the chip in cm
Width of chip w
Where, d=Depth of cut in mm
=Principle approach angle (in degree)
=Density of austenitic stainless steel, 8g/cm3
Uncut chip thickness t1,
t1 = f *sin
Where, f = Feed in mm
=Principal Cutting edge angle (in degree)
Chip reduction coefficient ζ ,
ζ =
Shear angle 0,
Where, = Rake Angle (in degree)
Von-Mises Stress v,
v =1.74K(ln )n
Where, K = Strength Coefficient (N/mm2)
n = Strain hardening Exponent
These two parameters are calculated by using the plot of true stress vs true strain on the log- log graph paper. The
values of true strain and true stress are calculated by using the results of tensile test performed on the specimen.
Fig.2 stress vs strain graph
International Journal of Innovative Research in Advanced Engineering (IJIRAE) ISSN: 2349-2163
Issue 05, Volume 5 (May 2018) www.ijirae.com
_________________________________________________________________________________________________
IJIRAE: Impact Factor Value – SJIF: Innospace, Morocco (2016): 3.916 | PIF: 2.469 | Jour Info: 4.085 |
ISRAJIF (2017): 4.011 | Indexcopernicus: (ICV 2016): 64.35
IJIRAE © 2014- 18, All Rights Reserved Page –201
Fig. 3 Broken specimen after tensile test
From the results of tensile test, true stress and true strain are evaluated at different points between the ultimate
stress point and yield point, these results are then plotted on log-log graph and from that log-log plot, values of n
and K were evaluated. Strain hardening exponent “n” is the slope of straight line and “K” is the true stress value
when the extrapolated graph coincide with true strain at numerical value 1. True stress and true strain are
determined by equations.
True stress, t = (1+ϵ)
True strain, ϵt = ln(l+ϵ)
Where, = Stress at different points on stress vs. strain plot. ϵ = Strain at different points on stress vs. strain plot.
From the log-log graph paper values of “n” and “K” comes out to be 0.55 and 850N/mm2
Fig. 4 True stress vs true strain graph
So the power law equation is established from the true stress vs true strain graph and final power law
equation becomes as
For total work done, firstly elemental work done is calculated as shown in equation
Elemental work done WE,
Total Work done TW.
Tw = WE*v*f*d*t
Where, v = Cutting speed (m/min)
f = Feed (mm/rev)
d = Depth of cut (mm)
t = Time in minute
Fig. 5 Variation of cutting velocity vs chip thickness
International Journal of Innovative Research in Advanced Engineering (IJIRAE) ISSN: 2349-2163
Issue 05, Volume 5 (May 2018) www.ijirae.com
_________________________________________________________________________________________________
IJIRAE: Impact Factor Value – SJIF: Innospace, Morocco (2016): 3.916 | PIF: 2.469 | Jour Info: 4.085 |
ISRAJIF (2017): 4.011 | Indexcopernicus: (ICV 2016): 64.35
IJIRAE © 2014- 18, All Rights Reserved Page –202
The deviation of chip thickness, chip reduction coefficient, shear angle, von mises stress and total work done with
respect to cutting velocity keeping feed and depth of cut constant (0.14mm/rev and 1mm respectively) are shown in
following fig.
Fig. 6 Variation of cutting velocity vs Chip reduction coefficient
Fig. 7 Variation of cutting velocity vs shear angle
Fig. 8 Variation of cutting velocity vs Von Mises stress
Fig. 9 Variation of cutting velocity vs total work done
It is found from the above graphs decrease in chip thickness and chip reduction coefficient at higher cutting speed is
mainly due to work hardening effect. Value of chip thickness seems to decrease at higher value of shear angle. Von
Mises stress is also found to be higher at very low cutting speed keeping feed and depth of cut constant at
0.14mm/rev and 1mm respectively. This is attributed to the austenitic retention effect. Total work done is found to
be increasing with increase in cutting speed.
A. SEM Testing Results
SEM testing was performed on the chips obtained by machining austenitic stainless steel (316L) with Carbide insert
tool. The chip formation mechanism is established from the SEM images.
International Journal of Innovative Research in Advanced Engineering (IJIRAE) ISSN: 2349-2163
Issue 05, Volume 5 (May 2018) www.ijirae.com
_________________________________________________________________________________________________
IJIRAE: Impact Factor Value – SJIF: Innospace, Morocco (2016): 3.916 | PIF: 2.469 | Jour Info: 4.085 |
ISRAJIF (2017): 4.011 | Indexcopernicus: (ICV 2016): 64.35
IJIRAE © 2014- 18, All Rights Reserved Page –203
SEM images were taken at the highest and the lowest values of the cutting parameters (speed, feed, and depth of cut)
for comparison. The parameters are denoted by:
(v, f, d) = (√2, √2, √2) and (-√2, -√2, -√2)
SEM images taken at different magnifications for cutting velocity of 97.9 m/min, feed of 0.199 mm/rev and depth of
cut of 1.774 mm:
(a) (b)
(c) (d)
Fig. 10 SEM images of chips at 50X magnification (a) Top surface (b) Bottom surface (c) Side surface
(d) Side surface
From the observation of SEM images, it is concluded that at higher cutting parameter conditions, the chip formation
occurs by saw tooth mechanism. This is mainly due to thermal instability during machining at higher cutting speed.
Lower thermal conductivity of austenitic stainless steel causes adiabatic shear instability which leads to saw tooth
chip formation. The process of chip formation is adverse during machining at higher cutting speed. SEM images
taken at different magnifications for cutting velocity of 10.23 m/min, feed of 0.098 mm/rev and depth of cut of
0.5636 mm:
(a) (b)
(c) (d)
Fig.11 SEM images of chips at 50X magnification (a) Top surface (b) Bottom surface (c) Side surface
(d) Side surface
From the observation of SEM images, it is concluded that at minimized cutting parameter conditions, the chips are
produced by shear sliding mechanism. Chip formation mode is found to be favourable at this condition.
International Journal of Innovative Research in Advanced Engineering (IJIRAE) ISSN: 2349-2163
Issue 05, Volume 5 (May 2018) www.ijirae.com
_________________________________________________________________________________________________
IJIRAE: Impact Factor Value – SJIF: Innospace, Morocco (2016): 3.916 | PIF: 2.469 | Jour Info: 4.085 |
ISRAJIF (2017): 4.011 | Indexcopernicus: (ICV 2016): 64.35
IJIRAE © 2014- 18, All Rights Reserved Page –204
B. Effect of Von Mises Stress on Machining (Theoretical analysis)
The second order equation for Von Mises stress was found by using analysis of variance (ANOVA) using
experimentally calculated values of Von Mises stress corresponding to cutting speed, feed and depth of cut.
Y(Von Mises stress)=1263.4+0.1X1-22.0X2-44.0X3+20.8X1
2+49.8X2
2-93.7X3
2+78.3X1X2-98.2X1X3+102.5X2X3
Where, X1= Cutting speed
X2= Feed
X3= Depth of cut
Effect of Von Mises stress on machining is observed at different machining parameters. The values of Von Mises
stress at different cutting speed, feed and depth of cut is used and graphs are plotted at speed code 0 and speed code
1 in Fig. 12.
Fig.12 Variation of von mises stress with feed code and doc at different speed code
Speed code 0 (left) and speed code 1 (right)
From fig. 12, it is seen that increase of feed has negligible effect on Von Mises stress at lower speed code 0, but with
increase of depth of cut, Von Mises stress reduces. This is attributed to easy chip breaking at higher depth of cut
condition. From fig. 12, it can be seen that extent of Von Mises stress is comparatively higher at higher speed code 1,
specifically at higher feed and moderate depth of cut which is attributed to the much work hardening effect leading
to phase transformation at this condition. However, at higher speed code 1, specifically at lower feed and higher
depth of cut condition the Von Mises stress is seen to be reduced because of easy chip breaking condition under
work hardening stage leading to brittle transition at this specific cutting condition.
IV. CONCLUSIONS
i. Chip thickness reduces with increase in cutting velocity under specific cutting condition and increased value of
chip thickness causes decrease in shear angle.
ii. Von Mises stress reduces with increase of cutting speed at specific cutting condition. Theoretical studies shows
with increase in cutting speed Von Mises stress increases because of work hardening of austenitic stainless
steel leading to phase transformation, this adversely affects the machinability of material.
iii. Adverse chip formation mode occurs due to adiabatic shear instability at higher cutting speed causing saw
tooth chip. This is because of the lower thermal conductivity of the material. Chip formation mode is found to
be favourable at lower cutting speed.
iv. Low speed machining can be recommended for this type of material.
v. Machining on austenitic stainless steel (316L) is found to be influenced by austenitic retention effect and
transformational effect during the machining work.
ACKNOWLEDGMENT
The authors gratefully acknowledge the financial assistance provided for this work by our institution NIT Silchar,
and express deep gratitude towards the production engineering lab of NIT Silchar and SEM lab of IIT Kanpur to
conduct different experiments related to this project and to all other people who helped in success of this work.
International Journal of Innovative Research in Advanced Engineering (IJIRAE) ISSN: 2349-2163
Issue 05, Volume 5 (May 2018) www.ijirae.com
_________________________________________________________________________________________________
IJIRAE: Impact Factor Value – SJIF: Innospace, Morocco (2016): 3.916 | PIF: 2.469 | Jour Info: 4.085 |
ISRAJIF (2017): 4.011 | Indexcopernicus: (ICV 2016): 64.35
IJIRAE © 2014- 18, All Rights Reserved Page –205
REFERENCES
1. Michael Lahres, Oliver Doerfel, Ralf Neumuller. “Applicability of different hard coatings in dry machining an
austenitic steel”. Surface and Coatings Technology 120–121 (1999) 687–691.
2. Ibrahim Ciftci. “Machining of austenitic stainless steels using CVDmulti-layer coated cemented carbide tools”.
Tribology International 39 (2006) 565–569.
3. D. O’Sullivan, M. Cotterell. “Machinability of austenitic stainless steel SS303”.Journal of Materials Processing
Technology 124 (2002) 153–159.
4. Atul P. Kulkarni, Girish G. Joshi, Vikas G. Sargade. “Dry turning of AISI 304 austenitic stainless steel using
ALTiCrN coated insert produced by HPPMS technique”. Procedia Engineering 64 ( 2013 ) 737 – 746.
5. Zafer Tekıner, SezginYesilyurt. “Investigation of the cutting parameters depending on process sound during
turning of AISI 304 austenitic stainless steel”. Materials and Design 25 (2004) 507–513.
6. Cebeli Ozek, Ahmet Hascalik, Ulaş Çaydas, Faruk Karaca, Engin Ünal. “Turning of AISI 304 austenitic stainless
Steel”. Journal of Engineering and Natural Sciences (2006).
7. Ihsan Korkut, Mustafa Kasap, Ibrahim Ciftci, UlviSeker. “Determination of optimum cutting parameters during
machining of AISI 304 austenitic stainless steel”. Materials and Design 25 (2004) 303–305.

More Related Content

What's hot

IRJET- Review on Friction Stir Welding
IRJET-  	  Review on Friction Stir WeldingIRJET-  	  Review on Friction Stir Welding
IRJET- Review on Friction Stir Welding
IRJET Journal
 
Review Paper on Friction Stir Welding and its Impact on Environment
Review Paper on Friction Stir Welding and its Impact on EnvironmentReview Paper on Friction Stir Welding and its Impact on Environment
Review Paper on Friction Stir Welding and its Impact on Environment
IRJET Journal
 
Regression analysis of shot peening process for performance characteristics o...
Regression analysis of shot peening process for performance characteristics o...Regression analysis of shot peening process for performance characteristics o...
Regression analysis of shot peening process for performance characteristics o...
IJMER
 
Cutting force and surface roughness in cryogenic machining of elastomer
Cutting force and surface roughness in cryogenic machining of elastomerCutting force and surface roughness in cryogenic machining of elastomer
Cutting force and surface roughness in cryogenic machining of elastomer
IAEME Publication
 
PARAMETRIC STUDY OF THE EFFECT OF MACHINING PARAMETERS IN DRILLING USING TAGU...
PARAMETRIC STUDY OF THE EFFECT OF MACHINING PARAMETERS IN DRILLING USING TAGU...PARAMETRIC STUDY OF THE EFFECT OF MACHINING PARAMETERS IN DRILLING USING TAGU...
PARAMETRIC STUDY OF THE EFFECT OF MACHINING PARAMETERS IN DRILLING USING TAGU...
AM Publications
 
OPTIMIZATION OF QUALITY ENHANCEMENT OF CNC MACHINING PROCESS BY USING NEURA...
OPTIMIZATION OF QUALITY ENHANCEMENT  OF CNC MACHINING PROCESS BY USING  NEURA...OPTIMIZATION OF QUALITY ENHANCEMENT  OF CNC MACHINING PROCESS BY USING  NEURA...
OPTIMIZATION OF QUALITY ENHANCEMENT OF CNC MACHINING PROCESS BY USING NEURA...
IJTRET-International Journal of Trendy Research in Engineering and Technology
 
Study of Pitting Corrosion Behavior of FSW weldments of AA6101- T6 Aluminium ...
Study of Pitting Corrosion Behavior of FSW weldments of AA6101- T6 Aluminium ...Study of Pitting Corrosion Behavior of FSW weldments of AA6101- T6 Aluminium ...
Study of Pitting Corrosion Behavior of FSW weldments of AA6101- T6 Aluminium ...
IJERA Editor
 
A refined energy-based model for friction stir processing of Al- Zn-Mg alloy
A refined energy-based model for friction stir processing of Al- Zn-Mg alloyA refined energy-based model for friction stir processing of Al- Zn-Mg alloy
A refined energy-based model for friction stir processing of Al- Zn-Mg alloy
IJERA Editor
 
IRJET- Cold Formed Steel Lipped Zed Section with and without Web Holes –Web C...
IRJET- Cold Formed Steel Lipped Zed Section with and without Web Holes –Web C...IRJET- Cold Formed Steel Lipped Zed Section with and without Web Holes –Web C...
IRJET- Cold Formed Steel Lipped Zed Section with and without Web Holes –Web C...
IRJET Journal
 
Fatigue Performance in Grinding and Turning: An Overview
Fatigue Performance in Grinding and Turning: An OverviewFatigue Performance in Grinding and Turning: An Overview
Fatigue Performance in Grinding and Turning: An Overview
IJMER
 
IRJET- Material Characterization on Functionally Graded AL-CU Alloy Fabricate...
IRJET- Material Characterization on Functionally Graded AL-CU Alloy Fabricate...IRJET- Material Characterization on Functionally Graded AL-CU Alloy Fabricate...
IRJET- Material Characterization on Functionally Graded AL-CU Alloy Fabricate...
IRJET Journal
 
Experimental Investigations of Friction Stir Welding (FSW) on Al 6061 : A Cas...
Experimental Investigations of Friction Stir Welding (FSW) on Al 6061 : A Cas...Experimental Investigations of Friction Stir Welding (FSW) on Al 6061 : A Cas...
Experimental Investigations of Friction Stir Welding (FSW) on Al 6061 : A Cas...
IRJET Journal
 
Determining the influence of cutting fluids on tool wear and surface roughnes...
Determining the influence of cutting fluids on tool wear and surface roughnes...Determining the influence of cutting fluids on tool wear and surface roughnes...
Determining the influence of cutting fluids on tool wear and surface roughnes...
Lepuufu
 
Surface residual stresses in machined austenitic stainless steel
Surface residual stresses in machined austenitic stainless steelSurface residual stresses in machined austenitic stainless steel
Surface residual stresses in machined austenitic stainless steel
Lepuufu
 
Ec31858863
Ec31858863Ec31858863
Ec31858863
IJERA Editor
 
Research into Properties of Spot Welded Steel Sheets
Research into Properties of Spot Welded Steel SheetsResearch into Properties of Spot Welded Steel Sheets
Research into Properties of Spot Welded Steel Sheets
ijtsrd
 
Influence of tellurium addition on drilling of microalloyed steel (din 38mns6)
Influence of tellurium addition on drilling of microalloyed steel (din 38mns6)Influence of tellurium addition on drilling of microalloyed steel (din 38mns6)
Influence of tellurium addition on drilling of microalloyed steel (din 38mns6)
Lepuufu
 
Multi-Objective Optimization ( Surface Roughness & Material Removal Rate) of ...
Multi-Objective Optimization ( Surface Roughness & Material Removal Rate) of ...Multi-Objective Optimization ( Surface Roughness & Material Removal Rate) of ...
Multi-Objective Optimization ( Surface Roughness & Material Removal Rate) of ...
IJERA Editor
 
Friction Stir Welding of Magnesium Alloys - A Review
Friction Stir Welding of Magnesium Alloys - A ReviewFriction Stir Welding of Magnesium Alloys - A Review
Friction Stir Welding of Magnesium Alloys - A Review
msejjournal
 
Effect of welding parameter on micro hardness of synergic mig welding of
Effect of welding parameter on micro hardness of synergic mig welding ofEffect of welding parameter on micro hardness of synergic mig welding of
Effect of welding parameter on micro hardness of synergic mig welding of
IAEME Publication
 

What's hot (20)

IRJET- Review on Friction Stir Welding
IRJET-  	  Review on Friction Stir WeldingIRJET-  	  Review on Friction Stir Welding
IRJET- Review on Friction Stir Welding
 
Review Paper on Friction Stir Welding and its Impact on Environment
Review Paper on Friction Stir Welding and its Impact on EnvironmentReview Paper on Friction Stir Welding and its Impact on Environment
Review Paper on Friction Stir Welding and its Impact on Environment
 
Regression analysis of shot peening process for performance characteristics o...
Regression analysis of shot peening process for performance characteristics o...Regression analysis of shot peening process for performance characteristics o...
Regression analysis of shot peening process for performance characteristics o...
 
Cutting force and surface roughness in cryogenic machining of elastomer
Cutting force and surface roughness in cryogenic machining of elastomerCutting force and surface roughness in cryogenic machining of elastomer
Cutting force and surface roughness in cryogenic machining of elastomer
 
PARAMETRIC STUDY OF THE EFFECT OF MACHINING PARAMETERS IN DRILLING USING TAGU...
PARAMETRIC STUDY OF THE EFFECT OF MACHINING PARAMETERS IN DRILLING USING TAGU...PARAMETRIC STUDY OF THE EFFECT OF MACHINING PARAMETERS IN DRILLING USING TAGU...
PARAMETRIC STUDY OF THE EFFECT OF MACHINING PARAMETERS IN DRILLING USING TAGU...
 
OPTIMIZATION OF QUALITY ENHANCEMENT OF CNC MACHINING PROCESS BY USING NEURA...
OPTIMIZATION OF QUALITY ENHANCEMENT  OF CNC MACHINING PROCESS BY USING  NEURA...OPTIMIZATION OF QUALITY ENHANCEMENT  OF CNC MACHINING PROCESS BY USING  NEURA...
OPTIMIZATION OF QUALITY ENHANCEMENT OF CNC MACHINING PROCESS BY USING NEURA...
 
Study of Pitting Corrosion Behavior of FSW weldments of AA6101- T6 Aluminium ...
Study of Pitting Corrosion Behavior of FSW weldments of AA6101- T6 Aluminium ...Study of Pitting Corrosion Behavior of FSW weldments of AA6101- T6 Aluminium ...
Study of Pitting Corrosion Behavior of FSW weldments of AA6101- T6 Aluminium ...
 
A refined energy-based model for friction stir processing of Al- Zn-Mg alloy
A refined energy-based model for friction stir processing of Al- Zn-Mg alloyA refined energy-based model for friction stir processing of Al- Zn-Mg alloy
A refined energy-based model for friction stir processing of Al- Zn-Mg alloy
 
IRJET- Cold Formed Steel Lipped Zed Section with and without Web Holes –Web C...
IRJET- Cold Formed Steel Lipped Zed Section with and without Web Holes –Web C...IRJET- Cold Formed Steel Lipped Zed Section with and without Web Holes –Web C...
IRJET- Cold Formed Steel Lipped Zed Section with and without Web Holes –Web C...
 
Fatigue Performance in Grinding and Turning: An Overview
Fatigue Performance in Grinding and Turning: An OverviewFatigue Performance in Grinding and Turning: An Overview
Fatigue Performance in Grinding and Turning: An Overview
 
IRJET- Material Characterization on Functionally Graded AL-CU Alloy Fabricate...
IRJET- Material Characterization on Functionally Graded AL-CU Alloy Fabricate...IRJET- Material Characterization on Functionally Graded AL-CU Alloy Fabricate...
IRJET- Material Characterization on Functionally Graded AL-CU Alloy Fabricate...
 
Experimental Investigations of Friction Stir Welding (FSW) on Al 6061 : A Cas...
Experimental Investigations of Friction Stir Welding (FSW) on Al 6061 : A Cas...Experimental Investigations of Friction Stir Welding (FSW) on Al 6061 : A Cas...
Experimental Investigations of Friction Stir Welding (FSW) on Al 6061 : A Cas...
 
Determining the influence of cutting fluids on tool wear and surface roughnes...
Determining the influence of cutting fluids on tool wear and surface roughnes...Determining the influence of cutting fluids on tool wear and surface roughnes...
Determining the influence of cutting fluids on tool wear and surface roughnes...
 
Surface residual stresses in machined austenitic stainless steel
Surface residual stresses in machined austenitic stainless steelSurface residual stresses in machined austenitic stainless steel
Surface residual stresses in machined austenitic stainless steel
 
Ec31858863
Ec31858863Ec31858863
Ec31858863
 
Research into Properties of Spot Welded Steel Sheets
Research into Properties of Spot Welded Steel SheetsResearch into Properties of Spot Welded Steel Sheets
Research into Properties of Spot Welded Steel Sheets
 
Influence of tellurium addition on drilling of microalloyed steel (din 38mns6)
Influence of tellurium addition on drilling of microalloyed steel (din 38mns6)Influence of tellurium addition on drilling of microalloyed steel (din 38mns6)
Influence of tellurium addition on drilling of microalloyed steel (din 38mns6)
 
Multi-Objective Optimization ( Surface Roughness & Material Removal Rate) of ...
Multi-Objective Optimization ( Surface Roughness & Material Removal Rate) of ...Multi-Objective Optimization ( Surface Roughness & Material Removal Rate) of ...
Multi-Objective Optimization ( Surface Roughness & Material Removal Rate) of ...
 
Friction Stir Welding of Magnesium Alloys - A Review
Friction Stir Welding of Magnesium Alloys - A ReviewFriction Stir Welding of Magnesium Alloys - A Review
Friction Stir Welding of Magnesium Alloys - A Review
 
Effect of welding parameter on micro hardness of synergic mig welding of
Effect of welding parameter on micro hardness of synergic mig welding ofEffect of welding parameter on micro hardness of synergic mig welding of
Effect of welding parameter on micro hardness of synergic mig welding of
 

Similar to DRY TURNING OF AUSTENITIC STAINLESS STEEL (316L) USING CVD COATED TOOL

A REVIEW ON OPTIMIZATION OF RESISTANCE SPOT WELDING OF ALUMINUM COMPONENTS US...
A REVIEW ON OPTIMIZATION OF RESISTANCE SPOT WELDING OF ALUMINUM COMPONENTS US...A REVIEW ON OPTIMIZATION OF RESISTANCE SPOT WELDING OF ALUMINUM COMPONENTS US...
A REVIEW ON OPTIMIZATION OF RESISTANCE SPOT WELDING OF ALUMINUM COMPONENTS US...
AM Publications
 
Effects and defects of the polypropylene plate for different parameters in fr...
Effects and defects of the polypropylene plate for different parameters in fr...Effects and defects of the polypropylene plate for different parameters in fr...
Effects and defects of the polypropylene plate for different parameters in fr...
eSAT Journals
 
SURFACE LAYER ALTERATIONS IN AISI 4140 STEEL FROM TURN-ASSISTED DEEP COLD ROL...
SURFACE LAYER ALTERATIONS IN AISI 4140 STEEL FROM TURN-ASSISTED DEEP COLD ROL...SURFACE LAYER ALTERATIONS IN AISI 4140 STEEL FROM TURN-ASSISTED DEEP COLD ROL...
SURFACE LAYER ALTERATIONS IN AISI 4140 STEEL FROM TURN-ASSISTED DEEP COLD ROL...
IAEME Publication
 
Investigation on Mechanical Properties of AL6061 Alloy Processed by FSW
Investigation on Mechanical Properties of AL6061 Alloy Processed by FSWInvestigation on Mechanical Properties of AL6061 Alloy Processed by FSW
Investigation on Mechanical Properties of AL6061 Alloy Processed by FSW
ijtsrd
 
An Experimental Investigation on Mechanical Properties of Friction Stir Weldi...
An Experimental Investigation on Mechanical Properties of Friction Stir Weldi...An Experimental Investigation on Mechanical Properties of Friction Stir Weldi...
An Experimental Investigation on Mechanical Properties of Friction Stir Weldi...
IRJET Journal
 
Surface layer alterations in aisi 4140 steel from turn assisted deep cold rol...
Surface layer alterations in aisi 4140 steel from turn assisted deep cold rol...Surface layer alterations in aisi 4140 steel from turn assisted deep cold rol...
Surface layer alterations in aisi 4140 steel from turn assisted deep cold rol...
IAEME Publication
 
Experimental Investigations on Tribiological Properties of 6061-T6 Al Alloy b...
Experimental Investigations on Tribiological Properties of 6061-T6 Al Alloy b...Experimental Investigations on Tribiological Properties of 6061-T6 Al Alloy b...
Experimental Investigations on Tribiological Properties of 6061-T6 Al Alloy b...
IJAEMSJORNAL
 
Ijebea14 215
Ijebea14 215Ijebea14 215
Ijebea14 215
Iasir Journals
 
Study of Thermal Stresses in High Temperature Brazing of Carbide to Steel San...
Study of Thermal Stresses in High Temperature Brazing of Carbide to Steel San...Study of Thermal Stresses in High Temperature Brazing of Carbide to Steel San...
Study of Thermal Stresses in High Temperature Brazing of Carbide to Steel San...
AM Publications
 
Experimental Analysis to Optimize the Process Parameter of Friction Stir Weld...
Experimental Analysis to Optimize the Process Parameter of Friction Stir Weld...Experimental Analysis to Optimize the Process Parameter of Friction Stir Weld...
Experimental Analysis to Optimize the Process Parameter of Friction Stir Weld...
IRJET Journal
 
Investigation of Metal Removal Rate and Surface Finish on Inconel 718 by Abra...
Investigation of Metal Removal Rate and Surface Finish on Inconel 718 by Abra...Investigation of Metal Removal Rate and Surface Finish on Inconel 718 by Abra...
Investigation of Metal Removal Rate and Surface Finish on Inconel 718 by Abra...
AM Publications
 
PARAMETERS OF FRICTION STIR PROCESSING ALONG WITH REINFORCEMENT OF COMPOSITIO...
PARAMETERS OF FRICTION STIR PROCESSING ALONG WITH REINFORCEMENT OF COMPOSITIO...PARAMETERS OF FRICTION STIR PROCESSING ALONG WITH REINFORCEMENT OF COMPOSITIO...
PARAMETERS OF FRICTION STIR PROCESSING ALONG WITH REINFORCEMENT OF COMPOSITIO...
Journal For Research
 
Experimental Investigation of the Wear Behaviour of Excavator Bucket Teeth by...
Experimental Investigation of the Wear Behaviour of Excavator Bucket Teeth by...Experimental Investigation of the Wear Behaviour of Excavator Bucket Teeth by...
Experimental Investigation of the Wear Behaviour of Excavator Bucket Teeth by...
ijtsrd
 
A Review Paper- Influence Of Welding On The Mechanical Properties Of Mild Ste...
A Review Paper- Influence Of Welding On The Mechanical Properties Of Mild Ste...A Review Paper- Influence Of Welding On The Mechanical Properties Of Mild Ste...
A Review Paper- Influence Of Welding On The Mechanical Properties Of Mild Ste...
IJSRED
 
Numerical simulation of friction stir butt welding processes for az91 magnesi...
Numerical simulation of friction stir butt welding processes for az91 magnesi...Numerical simulation of friction stir butt welding processes for az91 magnesi...
Numerical simulation of friction stir butt welding processes for az91 magnesi...
eSAT Journals
 
Numerical simulation of friction stir butt welding processes for az91 magnesi...
Numerical simulation of friction stir butt welding processes for az91 magnesi...Numerical simulation of friction stir butt welding processes for az91 magnesi...
Numerical simulation of friction stir butt welding processes for az91 magnesi...
eSAT Publishing House
 
Effect of process parameters using friction stir processing /welding of steel...
Effect of process parameters using friction stir processing /welding of steel...Effect of process parameters using friction stir processing /welding of steel...
Effect of process parameters using friction stir processing /welding of steel...
Husain Mehdi
 
15136-17380-1-PB.pdf
15136-17380-1-PB.pdf15136-17380-1-PB.pdf
15136-17380-1-PB.pdf
vijayasarathi17
 
IRJET-Analysis and Optimization of Cutting Parameters in Turning using Tic -...
IRJET-Analysis and Optimization of Cutting Parameters in Turning  using Tic -...IRJET-Analysis and Optimization of Cutting Parameters in Turning  using Tic -...
IRJET-Analysis and Optimization of Cutting Parameters in Turning using Tic -...
IRJET Journal
 
ANALYSIS OF TOOL WEAR IN TURNING OPERATION OF ALUMINIUM
ANALYSIS OF TOOL WEAR IN TURNING OPERATION OF ALUMINIUMANALYSIS OF TOOL WEAR IN TURNING OPERATION OF ALUMINIUM
ANALYSIS OF TOOL WEAR IN TURNING OPERATION OF ALUMINIUM
IRJET Journal
 

Similar to DRY TURNING OF AUSTENITIC STAINLESS STEEL (316L) USING CVD COATED TOOL (20)

A REVIEW ON OPTIMIZATION OF RESISTANCE SPOT WELDING OF ALUMINUM COMPONENTS US...
A REVIEW ON OPTIMIZATION OF RESISTANCE SPOT WELDING OF ALUMINUM COMPONENTS US...A REVIEW ON OPTIMIZATION OF RESISTANCE SPOT WELDING OF ALUMINUM COMPONENTS US...
A REVIEW ON OPTIMIZATION OF RESISTANCE SPOT WELDING OF ALUMINUM COMPONENTS US...
 
Effects and defects of the polypropylene plate for different parameters in fr...
Effects and defects of the polypropylene plate for different parameters in fr...Effects and defects of the polypropylene plate for different parameters in fr...
Effects and defects of the polypropylene plate for different parameters in fr...
 
SURFACE LAYER ALTERATIONS IN AISI 4140 STEEL FROM TURN-ASSISTED DEEP COLD ROL...
SURFACE LAYER ALTERATIONS IN AISI 4140 STEEL FROM TURN-ASSISTED DEEP COLD ROL...SURFACE LAYER ALTERATIONS IN AISI 4140 STEEL FROM TURN-ASSISTED DEEP COLD ROL...
SURFACE LAYER ALTERATIONS IN AISI 4140 STEEL FROM TURN-ASSISTED DEEP COLD ROL...
 
Investigation on Mechanical Properties of AL6061 Alloy Processed by FSW
Investigation on Mechanical Properties of AL6061 Alloy Processed by FSWInvestigation on Mechanical Properties of AL6061 Alloy Processed by FSW
Investigation on Mechanical Properties of AL6061 Alloy Processed by FSW
 
An Experimental Investigation on Mechanical Properties of Friction Stir Weldi...
An Experimental Investigation on Mechanical Properties of Friction Stir Weldi...An Experimental Investigation on Mechanical Properties of Friction Stir Weldi...
An Experimental Investigation on Mechanical Properties of Friction Stir Weldi...
 
Surface layer alterations in aisi 4140 steel from turn assisted deep cold rol...
Surface layer alterations in aisi 4140 steel from turn assisted deep cold rol...Surface layer alterations in aisi 4140 steel from turn assisted deep cold rol...
Surface layer alterations in aisi 4140 steel from turn assisted deep cold rol...
 
Experimental Investigations on Tribiological Properties of 6061-T6 Al Alloy b...
Experimental Investigations on Tribiological Properties of 6061-T6 Al Alloy b...Experimental Investigations on Tribiological Properties of 6061-T6 Al Alloy b...
Experimental Investigations on Tribiological Properties of 6061-T6 Al Alloy b...
 
Ijebea14 215
Ijebea14 215Ijebea14 215
Ijebea14 215
 
Study of Thermal Stresses in High Temperature Brazing of Carbide to Steel San...
Study of Thermal Stresses in High Temperature Brazing of Carbide to Steel San...Study of Thermal Stresses in High Temperature Brazing of Carbide to Steel San...
Study of Thermal Stresses in High Temperature Brazing of Carbide to Steel San...
 
Experimental Analysis to Optimize the Process Parameter of Friction Stir Weld...
Experimental Analysis to Optimize the Process Parameter of Friction Stir Weld...Experimental Analysis to Optimize the Process Parameter of Friction Stir Weld...
Experimental Analysis to Optimize the Process Parameter of Friction Stir Weld...
 
Investigation of Metal Removal Rate and Surface Finish on Inconel 718 by Abra...
Investigation of Metal Removal Rate and Surface Finish on Inconel 718 by Abra...Investigation of Metal Removal Rate and Surface Finish on Inconel 718 by Abra...
Investigation of Metal Removal Rate and Surface Finish on Inconel 718 by Abra...
 
PARAMETERS OF FRICTION STIR PROCESSING ALONG WITH REINFORCEMENT OF COMPOSITIO...
PARAMETERS OF FRICTION STIR PROCESSING ALONG WITH REINFORCEMENT OF COMPOSITIO...PARAMETERS OF FRICTION STIR PROCESSING ALONG WITH REINFORCEMENT OF COMPOSITIO...
PARAMETERS OF FRICTION STIR PROCESSING ALONG WITH REINFORCEMENT OF COMPOSITIO...
 
Experimental Investigation of the Wear Behaviour of Excavator Bucket Teeth by...
Experimental Investigation of the Wear Behaviour of Excavator Bucket Teeth by...Experimental Investigation of the Wear Behaviour of Excavator Bucket Teeth by...
Experimental Investigation of the Wear Behaviour of Excavator Bucket Teeth by...
 
A Review Paper- Influence Of Welding On The Mechanical Properties Of Mild Ste...
A Review Paper- Influence Of Welding On The Mechanical Properties Of Mild Ste...A Review Paper- Influence Of Welding On The Mechanical Properties Of Mild Ste...
A Review Paper- Influence Of Welding On The Mechanical Properties Of Mild Ste...
 
Numerical simulation of friction stir butt welding processes for az91 magnesi...
Numerical simulation of friction stir butt welding processes for az91 magnesi...Numerical simulation of friction stir butt welding processes for az91 magnesi...
Numerical simulation of friction stir butt welding processes for az91 magnesi...
 
Numerical simulation of friction stir butt welding processes for az91 magnesi...
Numerical simulation of friction stir butt welding processes for az91 magnesi...Numerical simulation of friction stir butt welding processes for az91 magnesi...
Numerical simulation of friction stir butt welding processes for az91 magnesi...
 
Effect of process parameters using friction stir processing /welding of steel...
Effect of process parameters using friction stir processing /welding of steel...Effect of process parameters using friction stir processing /welding of steel...
Effect of process parameters using friction stir processing /welding of steel...
 
15136-17380-1-PB.pdf
15136-17380-1-PB.pdf15136-17380-1-PB.pdf
15136-17380-1-PB.pdf
 
IRJET-Analysis and Optimization of Cutting Parameters in Turning using Tic -...
IRJET-Analysis and Optimization of Cutting Parameters in Turning  using Tic -...IRJET-Analysis and Optimization of Cutting Parameters in Turning  using Tic -...
IRJET-Analysis and Optimization of Cutting Parameters in Turning using Tic -...
 
ANALYSIS OF TOOL WEAR IN TURNING OPERATION OF ALUMINIUM
ANALYSIS OF TOOL WEAR IN TURNING OPERATION OF ALUMINIUMANALYSIS OF TOOL WEAR IN TURNING OPERATION OF ALUMINIUM
ANALYSIS OF TOOL WEAR IN TURNING OPERATION OF ALUMINIUM
 

More from AM Publications

DEVELOPMENT OF TODDLER FAMILY CADRE TRAINING BASED ON ANDROID APPLICATIONS IN...
DEVELOPMENT OF TODDLER FAMILY CADRE TRAINING BASED ON ANDROID APPLICATIONS IN...DEVELOPMENT OF TODDLER FAMILY CADRE TRAINING BASED ON ANDROID APPLICATIONS IN...
DEVELOPMENT OF TODDLER FAMILY CADRE TRAINING BASED ON ANDROID APPLICATIONS IN...
AM Publications
 
TESTING OF COMPOSITE ON DROP-WEIGHT IMPACT TESTING AND DAMAGE IDENTIFICATION ...
TESTING OF COMPOSITE ON DROP-WEIGHT IMPACT TESTING AND DAMAGE IDENTIFICATION ...TESTING OF COMPOSITE ON DROP-WEIGHT IMPACT TESTING AND DAMAGE IDENTIFICATION ...
TESTING OF COMPOSITE ON DROP-WEIGHT IMPACT TESTING AND DAMAGE IDENTIFICATION ...
AM Publications
 
THE USE OF FRACTAL GEOMETRY IN TILING MOTIF DESIGN
THE USE OF FRACTAL GEOMETRY IN TILING MOTIF DESIGNTHE USE OF FRACTAL GEOMETRY IN TILING MOTIF DESIGN
THE USE OF FRACTAL GEOMETRY IN TILING MOTIF DESIGN
AM Publications
 
TWO-DIMENSIONAL INVERSION FINITE ELEMENT MODELING OF MAGNETOTELLURIC DATA: CA...
TWO-DIMENSIONAL INVERSION FINITE ELEMENT MODELING OF MAGNETOTELLURIC DATA: CA...TWO-DIMENSIONAL INVERSION FINITE ELEMENT MODELING OF MAGNETOTELLURIC DATA: CA...
TWO-DIMENSIONAL INVERSION FINITE ELEMENT MODELING OF MAGNETOTELLURIC DATA: CA...
AM Publications
 
USING THE GENETIC ALGORITHM TO OPTIMIZE LASER WELDING PARAMETERS FOR MARTENSI...
USING THE GENETIC ALGORITHM TO OPTIMIZE LASER WELDING PARAMETERS FOR MARTENSI...USING THE GENETIC ALGORITHM TO OPTIMIZE LASER WELDING PARAMETERS FOR MARTENSI...
USING THE GENETIC ALGORITHM TO OPTIMIZE LASER WELDING PARAMETERS FOR MARTENSI...
AM Publications
 
ANALYSIS AND DESIGN E-MARKETPLACE FOR MICRO, SMALL AND MEDIUM ENTERPRISES
ANALYSIS AND DESIGN E-MARKETPLACE FOR MICRO, SMALL AND MEDIUM ENTERPRISESANALYSIS AND DESIGN E-MARKETPLACE FOR MICRO, SMALL AND MEDIUM ENTERPRISES
ANALYSIS AND DESIGN E-MARKETPLACE FOR MICRO, SMALL AND MEDIUM ENTERPRISES
AM Publications
 
REMOTE SENSING AND GEOGRAPHIC INFORMATION SYSTEMS
REMOTE SENSING AND GEOGRAPHIC INFORMATION SYSTEMS REMOTE SENSING AND GEOGRAPHIC INFORMATION SYSTEMS
REMOTE SENSING AND GEOGRAPHIC INFORMATION SYSTEMS
AM Publications
 
EVALUATE THE STRAIN ENERGY ERROR FOR THE LASER WELD BY THE H-REFINEMENT OF TH...
EVALUATE THE STRAIN ENERGY ERROR FOR THE LASER WELD BY THE H-REFINEMENT OF TH...EVALUATE THE STRAIN ENERGY ERROR FOR THE LASER WELD BY THE H-REFINEMENT OF TH...
EVALUATE THE STRAIN ENERGY ERROR FOR THE LASER WELD BY THE H-REFINEMENT OF TH...
AM Publications
 
HMM APPLICATION IN ISOLATED WORD SPEECH RECOGNITION
HMM APPLICATION IN ISOLATED WORD SPEECH RECOGNITIONHMM APPLICATION IN ISOLATED WORD SPEECH RECOGNITION
HMM APPLICATION IN ISOLATED WORD SPEECH RECOGNITION
AM Publications
 
PEDESTRIAN DETECTION IN LOW RESOLUTION VIDEOS USING A MULTI-FRAME HOG-BASED D...
PEDESTRIAN DETECTION IN LOW RESOLUTION VIDEOS USING A MULTI-FRAME HOG-BASED D...PEDESTRIAN DETECTION IN LOW RESOLUTION VIDEOS USING A MULTI-FRAME HOG-BASED D...
PEDESTRIAN DETECTION IN LOW RESOLUTION VIDEOS USING A MULTI-FRAME HOG-BASED D...
AM Publications
 
INTELLIGENT BLIND STICK
INTELLIGENT BLIND STICKINTELLIGENT BLIND STICK
INTELLIGENT BLIND STICK
AM Publications
 
EFFECT OF SILICON - RUBBER (SR) SHEETS AS AN ALTERNATIVE FILTER ON HIGH AND L...
EFFECT OF SILICON - RUBBER (SR) SHEETS AS AN ALTERNATIVE FILTER ON HIGH AND L...EFFECT OF SILICON - RUBBER (SR) SHEETS AS AN ALTERNATIVE FILTER ON HIGH AND L...
EFFECT OF SILICON - RUBBER (SR) SHEETS AS AN ALTERNATIVE FILTER ON HIGH AND L...
AM Publications
 
UTILIZATION OF IMMUNIZATION SERVICES AMONG CHILDREN UNDER FIVE YEARS OF AGE I...
UTILIZATION OF IMMUNIZATION SERVICES AMONG CHILDREN UNDER FIVE YEARS OF AGE I...UTILIZATION OF IMMUNIZATION SERVICES AMONG CHILDREN UNDER FIVE YEARS OF AGE I...
UTILIZATION OF IMMUNIZATION SERVICES AMONG CHILDREN UNDER FIVE YEARS OF AGE I...
AM Publications
 
REPRESENTATION OF THE BLOCK DATA ENCRYPTION ALGORITHM IN AN ANALYTICAL FORM F...
REPRESENTATION OF THE BLOCK DATA ENCRYPTION ALGORITHM IN AN ANALYTICAL FORM F...REPRESENTATION OF THE BLOCK DATA ENCRYPTION ALGORITHM IN AN ANALYTICAL FORM F...
REPRESENTATION OF THE BLOCK DATA ENCRYPTION ALGORITHM IN AN ANALYTICAL FORM F...
AM Publications
 
OPTICAL CHARACTER RECOGNITION USING RBFNN
OPTICAL CHARACTER RECOGNITION USING RBFNNOPTICAL CHARACTER RECOGNITION USING RBFNN
OPTICAL CHARACTER RECOGNITION USING RBFNN
AM Publications
 
DETECTION OF MOVING OBJECT
DETECTION OF MOVING OBJECTDETECTION OF MOVING OBJECT
DETECTION OF MOVING OBJECT
AM Publications
 
SIMULATION OF ATMOSPHERIC POLLUTANTS DISPERSION IN AN URBAN ENVIRONMENT
SIMULATION OF ATMOSPHERIC POLLUTANTS DISPERSION IN AN URBAN ENVIRONMENTSIMULATION OF ATMOSPHERIC POLLUTANTS DISPERSION IN AN URBAN ENVIRONMENT
SIMULATION OF ATMOSPHERIC POLLUTANTS DISPERSION IN AN URBAN ENVIRONMENT
AM Publications
 
PREPARATION AND EVALUATION OF WOOL KERATIN BASED CHITOSAN NANOFIBERS FOR AIR ...
PREPARATION AND EVALUATION OF WOOL KERATIN BASED CHITOSAN NANOFIBERS FOR AIR ...PREPARATION AND EVALUATION OF WOOL KERATIN BASED CHITOSAN NANOFIBERS FOR AIR ...
PREPARATION AND EVALUATION OF WOOL KERATIN BASED CHITOSAN NANOFIBERS FOR AIR ...
AM Publications
 
ANALYSIS ON LOAD BALANCING ALGORITHMS IMPLEMENTATION ON CLOUD COMPUTING ENVIR...
ANALYSIS ON LOAD BALANCING ALGORITHMS IMPLEMENTATION ON CLOUD COMPUTING ENVIR...ANALYSIS ON LOAD BALANCING ALGORITHMS IMPLEMENTATION ON CLOUD COMPUTING ENVIR...
ANALYSIS ON LOAD BALANCING ALGORITHMS IMPLEMENTATION ON CLOUD COMPUTING ENVIR...
AM Publications
 
A MODEL BASED APPROACH FOR IMPLEMENTING WLAN SECURITY
A MODEL BASED APPROACH FOR IMPLEMENTING WLAN SECURITY A MODEL BASED APPROACH FOR IMPLEMENTING WLAN SECURITY
A MODEL BASED APPROACH FOR IMPLEMENTING WLAN SECURITY
AM Publications
 

More from AM Publications (20)

DEVELOPMENT OF TODDLER FAMILY CADRE TRAINING BASED ON ANDROID APPLICATIONS IN...
DEVELOPMENT OF TODDLER FAMILY CADRE TRAINING BASED ON ANDROID APPLICATIONS IN...DEVELOPMENT OF TODDLER FAMILY CADRE TRAINING BASED ON ANDROID APPLICATIONS IN...
DEVELOPMENT OF TODDLER FAMILY CADRE TRAINING BASED ON ANDROID APPLICATIONS IN...
 
TESTING OF COMPOSITE ON DROP-WEIGHT IMPACT TESTING AND DAMAGE IDENTIFICATION ...
TESTING OF COMPOSITE ON DROP-WEIGHT IMPACT TESTING AND DAMAGE IDENTIFICATION ...TESTING OF COMPOSITE ON DROP-WEIGHT IMPACT TESTING AND DAMAGE IDENTIFICATION ...
TESTING OF COMPOSITE ON DROP-WEIGHT IMPACT TESTING AND DAMAGE IDENTIFICATION ...
 
THE USE OF FRACTAL GEOMETRY IN TILING MOTIF DESIGN
THE USE OF FRACTAL GEOMETRY IN TILING MOTIF DESIGNTHE USE OF FRACTAL GEOMETRY IN TILING MOTIF DESIGN
THE USE OF FRACTAL GEOMETRY IN TILING MOTIF DESIGN
 
TWO-DIMENSIONAL INVERSION FINITE ELEMENT MODELING OF MAGNETOTELLURIC DATA: CA...
TWO-DIMENSIONAL INVERSION FINITE ELEMENT MODELING OF MAGNETOTELLURIC DATA: CA...TWO-DIMENSIONAL INVERSION FINITE ELEMENT MODELING OF MAGNETOTELLURIC DATA: CA...
TWO-DIMENSIONAL INVERSION FINITE ELEMENT MODELING OF MAGNETOTELLURIC DATA: CA...
 
USING THE GENETIC ALGORITHM TO OPTIMIZE LASER WELDING PARAMETERS FOR MARTENSI...
USING THE GENETIC ALGORITHM TO OPTIMIZE LASER WELDING PARAMETERS FOR MARTENSI...USING THE GENETIC ALGORITHM TO OPTIMIZE LASER WELDING PARAMETERS FOR MARTENSI...
USING THE GENETIC ALGORITHM TO OPTIMIZE LASER WELDING PARAMETERS FOR MARTENSI...
 
ANALYSIS AND DESIGN E-MARKETPLACE FOR MICRO, SMALL AND MEDIUM ENTERPRISES
ANALYSIS AND DESIGN E-MARKETPLACE FOR MICRO, SMALL AND MEDIUM ENTERPRISESANALYSIS AND DESIGN E-MARKETPLACE FOR MICRO, SMALL AND MEDIUM ENTERPRISES
ANALYSIS AND DESIGN E-MARKETPLACE FOR MICRO, SMALL AND MEDIUM ENTERPRISES
 
REMOTE SENSING AND GEOGRAPHIC INFORMATION SYSTEMS
REMOTE SENSING AND GEOGRAPHIC INFORMATION SYSTEMS REMOTE SENSING AND GEOGRAPHIC INFORMATION SYSTEMS
REMOTE SENSING AND GEOGRAPHIC INFORMATION SYSTEMS
 
EVALUATE THE STRAIN ENERGY ERROR FOR THE LASER WELD BY THE H-REFINEMENT OF TH...
EVALUATE THE STRAIN ENERGY ERROR FOR THE LASER WELD BY THE H-REFINEMENT OF TH...EVALUATE THE STRAIN ENERGY ERROR FOR THE LASER WELD BY THE H-REFINEMENT OF TH...
EVALUATE THE STRAIN ENERGY ERROR FOR THE LASER WELD BY THE H-REFINEMENT OF TH...
 
HMM APPLICATION IN ISOLATED WORD SPEECH RECOGNITION
HMM APPLICATION IN ISOLATED WORD SPEECH RECOGNITIONHMM APPLICATION IN ISOLATED WORD SPEECH RECOGNITION
HMM APPLICATION IN ISOLATED WORD SPEECH RECOGNITION
 
PEDESTRIAN DETECTION IN LOW RESOLUTION VIDEOS USING A MULTI-FRAME HOG-BASED D...
PEDESTRIAN DETECTION IN LOW RESOLUTION VIDEOS USING A MULTI-FRAME HOG-BASED D...PEDESTRIAN DETECTION IN LOW RESOLUTION VIDEOS USING A MULTI-FRAME HOG-BASED D...
PEDESTRIAN DETECTION IN LOW RESOLUTION VIDEOS USING A MULTI-FRAME HOG-BASED D...
 
INTELLIGENT BLIND STICK
INTELLIGENT BLIND STICKINTELLIGENT BLIND STICK
INTELLIGENT BLIND STICK
 
EFFECT OF SILICON - RUBBER (SR) SHEETS AS AN ALTERNATIVE FILTER ON HIGH AND L...
EFFECT OF SILICON - RUBBER (SR) SHEETS AS AN ALTERNATIVE FILTER ON HIGH AND L...EFFECT OF SILICON - RUBBER (SR) SHEETS AS AN ALTERNATIVE FILTER ON HIGH AND L...
EFFECT OF SILICON - RUBBER (SR) SHEETS AS AN ALTERNATIVE FILTER ON HIGH AND L...
 
UTILIZATION OF IMMUNIZATION SERVICES AMONG CHILDREN UNDER FIVE YEARS OF AGE I...
UTILIZATION OF IMMUNIZATION SERVICES AMONG CHILDREN UNDER FIVE YEARS OF AGE I...UTILIZATION OF IMMUNIZATION SERVICES AMONG CHILDREN UNDER FIVE YEARS OF AGE I...
UTILIZATION OF IMMUNIZATION SERVICES AMONG CHILDREN UNDER FIVE YEARS OF AGE I...
 
REPRESENTATION OF THE BLOCK DATA ENCRYPTION ALGORITHM IN AN ANALYTICAL FORM F...
REPRESENTATION OF THE BLOCK DATA ENCRYPTION ALGORITHM IN AN ANALYTICAL FORM F...REPRESENTATION OF THE BLOCK DATA ENCRYPTION ALGORITHM IN AN ANALYTICAL FORM F...
REPRESENTATION OF THE BLOCK DATA ENCRYPTION ALGORITHM IN AN ANALYTICAL FORM F...
 
OPTICAL CHARACTER RECOGNITION USING RBFNN
OPTICAL CHARACTER RECOGNITION USING RBFNNOPTICAL CHARACTER RECOGNITION USING RBFNN
OPTICAL CHARACTER RECOGNITION USING RBFNN
 
DETECTION OF MOVING OBJECT
DETECTION OF MOVING OBJECTDETECTION OF MOVING OBJECT
DETECTION OF MOVING OBJECT
 
SIMULATION OF ATMOSPHERIC POLLUTANTS DISPERSION IN AN URBAN ENVIRONMENT
SIMULATION OF ATMOSPHERIC POLLUTANTS DISPERSION IN AN URBAN ENVIRONMENTSIMULATION OF ATMOSPHERIC POLLUTANTS DISPERSION IN AN URBAN ENVIRONMENT
SIMULATION OF ATMOSPHERIC POLLUTANTS DISPERSION IN AN URBAN ENVIRONMENT
 
PREPARATION AND EVALUATION OF WOOL KERATIN BASED CHITOSAN NANOFIBERS FOR AIR ...
PREPARATION AND EVALUATION OF WOOL KERATIN BASED CHITOSAN NANOFIBERS FOR AIR ...PREPARATION AND EVALUATION OF WOOL KERATIN BASED CHITOSAN NANOFIBERS FOR AIR ...
PREPARATION AND EVALUATION OF WOOL KERATIN BASED CHITOSAN NANOFIBERS FOR AIR ...
 
ANALYSIS ON LOAD BALANCING ALGORITHMS IMPLEMENTATION ON CLOUD COMPUTING ENVIR...
ANALYSIS ON LOAD BALANCING ALGORITHMS IMPLEMENTATION ON CLOUD COMPUTING ENVIR...ANALYSIS ON LOAD BALANCING ALGORITHMS IMPLEMENTATION ON CLOUD COMPUTING ENVIR...
ANALYSIS ON LOAD BALANCING ALGORITHMS IMPLEMENTATION ON CLOUD COMPUTING ENVIR...
 
A MODEL BASED APPROACH FOR IMPLEMENTING WLAN SECURITY
A MODEL BASED APPROACH FOR IMPLEMENTING WLAN SECURITY A MODEL BASED APPROACH FOR IMPLEMENTING WLAN SECURITY
A MODEL BASED APPROACH FOR IMPLEMENTING WLAN SECURITY
 

Recently uploaded

DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODEL
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODELDEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODEL
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODEL
ijaia
 
原版制作(Humboldt毕业证书)柏林大学毕业证学位证一模一样
原版制作(Humboldt毕业证书)柏林大学毕业证学位证一模一样原版制作(Humboldt毕业证书)柏林大学毕业证学位证一模一样
原版制作(Humboldt毕业证书)柏林大学毕业证学位证一模一样
ydzowc
 
Digital Twins Computer Networking Paper Presentation.pptx
Digital Twins Computer Networking Paper Presentation.pptxDigital Twins Computer Networking Paper Presentation.pptx
Digital Twins Computer Networking Paper Presentation.pptx
aryanpankaj78
 
AI + Data Community Tour - Build the Next Generation of Apps with the Einstei...
AI + Data Community Tour - Build the Next Generation of Apps with the Einstei...AI + Data Community Tour - Build the Next Generation of Apps with the Einstei...
AI + Data Community Tour - Build the Next Generation of Apps with the Einstei...
Paris Salesforce Developer Group
 
IEEE Aerospace and Electronic Systems Society as a Graduate Student Member
IEEE Aerospace and Electronic Systems Society as a Graduate Student MemberIEEE Aerospace and Electronic Systems Society as a Graduate Student Member
IEEE Aerospace and Electronic Systems Society as a Graduate Student Member
VICTOR MAESTRE RAMIREZ
 
Engineering Standards Wiring methods.pdf
Engineering Standards Wiring methods.pdfEngineering Standards Wiring methods.pdf
Engineering Standards Wiring methods.pdf
edwin408357
 
AI for Legal Research with applications, tools
AI for Legal Research with applications, toolsAI for Legal Research with applications, tools
AI for Legal Research with applications, tools
mahaffeycheryld
 
Properties Railway Sleepers and Test.pptx
Properties Railway Sleepers and Test.pptxProperties Railway Sleepers and Test.pptx
Properties Railway Sleepers and Test.pptx
MDSABBIROJJAMANPAYEL
 
Design and optimization of ion propulsion drone
Design and optimization of ion propulsion droneDesign and optimization of ion propulsion drone
Design and optimization of ion propulsion drone
bjmsejournal
 
Null Bangalore | Pentesters Approach to AWS IAM
Null Bangalore | Pentesters Approach to AWS IAMNull Bangalore | Pentesters Approach to AWS IAM
Null Bangalore | Pentesters Approach to AWS IAM
Divyanshu
 
Applications of artificial Intelligence in Mechanical Engineering.pdf
Applications of artificial Intelligence in Mechanical Engineering.pdfApplications of artificial Intelligence in Mechanical Engineering.pdf
Applications of artificial Intelligence in Mechanical Engineering.pdf
Atif Razi
 
Object Oriented Analysis and Design - OOAD
Object Oriented Analysis and Design - OOADObject Oriented Analysis and Design - OOAD
Object Oriented Analysis and Design - OOAD
PreethaV16
 
Software Engineering and Project Management - Introduction, Modeling Concepts...
Software Engineering and Project Management - Introduction, Modeling Concepts...Software Engineering and Project Management - Introduction, Modeling Concepts...
Software Engineering and Project Management - Introduction, Modeling Concepts...
Prakhyath Rai
 
Computational Engineering IITH Presentation
Computational Engineering IITH PresentationComputational Engineering IITH Presentation
Computational Engineering IITH Presentation
co23btech11018
 
VARIABLE FREQUENCY DRIVE. VFDs are widely used in industrial applications for...
VARIABLE FREQUENCY DRIVE. VFDs are widely used in industrial applications for...VARIABLE FREQUENCY DRIVE. VFDs are widely used in industrial applications for...
VARIABLE FREQUENCY DRIVE. VFDs are widely used in industrial applications for...
PIMR BHOPAL
 
1FIDIC-CONSTRUCTION-CONTRACT-2ND-ED-2017-RED-BOOK.pdf
1FIDIC-CONSTRUCTION-CONTRACT-2ND-ED-2017-RED-BOOK.pdf1FIDIC-CONSTRUCTION-CONTRACT-2ND-ED-2017-RED-BOOK.pdf
1FIDIC-CONSTRUCTION-CONTRACT-2ND-ED-2017-RED-BOOK.pdf
MadhavJungKarki
 
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...Electric vehicle and photovoltaic advanced roles in enhancing the financial p...
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...
IJECEIAES
 
学校原版美国波士顿大学毕业证学历学位证书原版一模一样
学校原版美国波士顿大学毕业证学历学位证书原版一模一样学校原版美国波士顿大学毕业证学历学位证书原版一模一样
学校原版美国波士顿大学毕业证学历学位证书原版一模一样
171ticu
 
一比一原版(uofo毕业证书)美国俄勒冈大学毕业证如何办理
一比一原版(uofo毕业证书)美国俄勒冈大学毕业证如何办理一比一原版(uofo毕业证书)美国俄勒冈大学毕业证如何办理
一比一原版(uofo毕业证书)美国俄勒冈大学毕业证如何办理
upoux
 
An Introduction to the Compiler Designss
An Introduction to the Compiler DesignssAn Introduction to the Compiler Designss
An Introduction to the Compiler Designss
ElakkiaU
 

Recently uploaded (20)

DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODEL
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODELDEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODEL
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODEL
 
原版制作(Humboldt毕业证书)柏林大学毕业证学位证一模一样
原版制作(Humboldt毕业证书)柏林大学毕业证学位证一模一样原版制作(Humboldt毕业证书)柏林大学毕业证学位证一模一样
原版制作(Humboldt毕业证书)柏林大学毕业证学位证一模一样
 
Digital Twins Computer Networking Paper Presentation.pptx
Digital Twins Computer Networking Paper Presentation.pptxDigital Twins Computer Networking Paper Presentation.pptx
Digital Twins Computer Networking Paper Presentation.pptx
 
AI + Data Community Tour - Build the Next Generation of Apps with the Einstei...
AI + Data Community Tour - Build the Next Generation of Apps with the Einstei...AI + Data Community Tour - Build the Next Generation of Apps with the Einstei...
AI + Data Community Tour - Build the Next Generation of Apps with the Einstei...
 
IEEE Aerospace and Electronic Systems Society as a Graduate Student Member
IEEE Aerospace and Electronic Systems Society as a Graduate Student MemberIEEE Aerospace and Electronic Systems Society as a Graduate Student Member
IEEE Aerospace and Electronic Systems Society as a Graduate Student Member
 
Engineering Standards Wiring methods.pdf
Engineering Standards Wiring methods.pdfEngineering Standards Wiring methods.pdf
Engineering Standards Wiring methods.pdf
 
AI for Legal Research with applications, tools
AI for Legal Research with applications, toolsAI for Legal Research with applications, tools
AI for Legal Research with applications, tools
 
Properties Railway Sleepers and Test.pptx
Properties Railway Sleepers and Test.pptxProperties Railway Sleepers and Test.pptx
Properties Railway Sleepers and Test.pptx
 
Design and optimization of ion propulsion drone
Design and optimization of ion propulsion droneDesign and optimization of ion propulsion drone
Design and optimization of ion propulsion drone
 
Null Bangalore | Pentesters Approach to AWS IAM
Null Bangalore | Pentesters Approach to AWS IAMNull Bangalore | Pentesters Approach to AWS IAM
Null Bangalore | Pentesters Approach to AWS IAM
 
Applications of artificial Intelligence in Mechanical Engineering.pdf
Applications of artificial Intelligence in Mechanical Engineering.pdfApplications of artificial Intelligence in Mechanical Engineering.pdf
Applications of artificial Intelligence in Mechanical Engineering.pdf
 
Object Oriented Analysis and Design - OOAD
Object Oriented Analysis and Design - OOADObject Oriented Analysis and Design - OOAD
Object Oriented Analysis and Design - OOAD
 
Software Engineering and Project Management - Introduction, Modeling Concepts...
Software Engineering and Project Management - Introduction, Modeling Concepts...Software Engineering and Project Management - Introduction, Modeling Concepts...
Software Engineering and Project Management - Introduction, Modeling Concepts...
 
Computational Engineering IITH Presentation
Computational Engineering IITH PresentationComputational Engineering IITH Presentation
Computational Engineering IITH Presentation
 
VARIABLE FREQUENCY DRIVE. VFDs are widely used in industrial applications for...
VARIABLE FREQUENCY DRIVE. VFDs are widely used in industrial applications for...VARIABLE FREQUENCY DRIVE. VFDs are widely used in industrial applications for...
VARIABLE FREQUENCY DRIVE. VFDs are widely used in industrial applications for...
 
1FIDIC-CONSTRUCTION-CONTRACT-2ND-ED-2017-RED-BOOK.pdf
1FIDIC-CONSTRUCTION-CONTRACT-2ND-ED-2017-RED-BOOK.pdf1FIDIC-CONSTRUCTION-CONTRACT-2ND-ED-2017-RED-BOOK.pdf
1FIDIC-CONSTRUCTION-CONTRACT-2ND-ED-2017-RED-BOOK.pdf
 
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...Electric vehicle and photovoltaic advanced roles in enhancing the financial p...
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...
 
学校原版美国波士顿大学毕业证学历学位证书原版一模一样
学校原版美国波士顿大学毕业证学历学位证书原版一模一样学校原版美国波士顿大学毕业证学历学位证书原版一模一样
学校原版美国波士顿大学毕业证学历学位证书原版一模一样
 
一比一原版(uofo毕业证书)美国俄勒冈大学毕业证如何办理
一比一原版(uofo毕业证书)美国俄勒冈大学毕业证如何办理一比一原版(uofo毕业证书)美国俄勒冈大学毕业证如何办理
一比一原版(uofo毕业证书)美国俄勒冈大学毕业证如何办理
 
An Introduction to the Compiler Designss
An Introduction to the Compiler DesignssAn Introduction to the Compiler Designss
An Introduction to the Compiler Designss
 

DRY TURNING OF AUSTENITIC STAINLESS STEEL (316L) USING CVD COATED TOOL

  • 1. International Journal of Innovative Research in Advanced Engineering (IJIRAE) ISSN: 2349-2163 Issue 05, Volume 5 (May 2018) www.ijirae.com ___________________________________________________________________________________________________ IJIRAE: Impact Factor Value – SJIF: Innospace, Morocco (2016): 3.916 | PIF: 2.469 | Jour Info: 4.085 | ISRAJIF (2017): 4.011 | Indexcopernicus: (ICV 2016): 64.35 IJIRAE © 2014- 18, All Rights Reserved Page –197 DRY TURNING OF AUSTENITIC STAINLESS STEEL (316L) USING CVD COATED TOOL Aby M Philip* M.Tech. (Mech.) Student, Department of Mechanical Engineering, National Institute of Technology, Silchar, Assam abyphilip1992@gmail.com Dr.Kalyan Chakraborty Associate Professor, Department of Mechanical Engineering, National Institute of Technology, Silchar, Assam kalyan.ch2013@gmail.com Manuscript History Number: IJIRAE/RS/Vol.05/Issue05/MYAE10089 Received: 08, May 2018 Received: 14, May 2018 Final Correction: 19, May 2018 Final Accepted: 21, May 2018 Published: May 2018 Citation: Philip & Chakraborty (2018). DRY TURNING OF AUSTENITIC STAINLESS STEEL (316L) USING CVD COATED TOOL. IJIRAE::International Journal of Innovative Research in Advanced Engineering, Volume V, 197-205. doi://10.26562/IJIRAE.2018.MYAE10089 Editor: Dr.A.Arul L.S, Chief Editor, IJIRAE, AM Publications, India Copyright: ©2018 This is an open access article distributed under the terms of the Creative Commons Attribution License, Which Permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited Abstract— Austenitic Stainless steel (316L) is a low carbon high chromium containing high alloy steel, it has a good number of application because of its high strength, high ductility and corrosion resistance. It is used in jet engine parts, heat exchanger application and pharmaceutical application. It is compatible in cryogenic temperature to red hot temperature. The paper presents an experimental investigation on different parameters which affect the cutting process and also cause significant effect on the chip formation in machining of Austenitic Stainless steel (316L). In this study, experiments were conducted on Austenitic Stainless steel (316L) at different cutting speed, feed and depth of cut and the effect of different influential parameters on the process of chip formation has been studied subsequently. Quality characteristic of machined item is depending much on material behaviour during machining. Present experimental analysis on machining has been performed by implementing Von Mises stress evaluation employing true stress-true strain behaviour of the materials under consideration. Experimental true stress-true strain plot was required to find out the strength coefficient and strain hardening exponent of the material and using the same, Von Mises stress was estimated by using material property consideration. Experimental study on machining was performed on austenitic stainless steel (316L) to know the trend of variation of chip thickness, shear angle, Von Mises stress and total work done with respect to cutting velocity. From the study it showed that austenitic stainless steel gets work hardened at higher cutting speed. Therefore this type of material can be machined at lower cutting speed only. Keywords— Metal cutting; machining; chip thickness; work hardening; machinability ; I. INTRODUCTION Stainless steel has a great importance in manufacturing industries. It has a wide application in many fields as it has a great combination of mechanical properties and higher corrosion resistance. During fabrication the properties of the material can change due to machining condition.
  • 2. International Journal of Innovative Research in Advanced Engineering (IJIRAE) ISSN: 2349-2163 Issue 05, Volume 5 (May 2018) www.ijirae.com _________________________________________________________________________________________________ IJIRAE: Impact Factor Value – SJIF: Innospace, Morocco (2016): 3.916 | PIF: 2.469 | Jour Info: 4.085 | ISRAJIF (2017): 4.011 | Indexcopernicus: (ICV 2016): 64.35 IJIRAE © 2014- 18, All Rights Reserved Page –198 Stainless steel can be classified on the basis of their crystalline structure as austenitic, ferritic and martensitic. Austenitic stainless steel has a great application. It is compatible from cryogenic temperature to red hot temperature. Austenitic structure gives excellent toughness in cryogenic temperature and has high formability and strength. These are generally used in fabrication of food processing and chemical equipment and in machineries which require high corrosion resistance e.g. in marine engines and in heat exchangers. Austenitic stainless steel work hardens when it is deformed, this property of austenitic stainless steel is known as transformation induced plasticity property. Austenitic stainless steel is having high tendency to work harden and to form built up edge, its machinability is affected adversely due to this. The machinability of this material is also affected because of higher strength and lower thermal conductivity. The tendency of austenitic stainless steel to work harden causes superior tool wear causing poorer surface finish. Austenite is also known as gamma phase of iron. As temperature of alpha iron changes from 912°C – 1394°C, it causes a phase transformation from body centered to face centered cubic structure known as gamma iron. Higher amount of nickel in this material act as a austenite stabilizer. Because of its stable austenitic microstructure, it possesses certain characteristic such as ductility, good weldability, formability and maintains toughness at cryogenic temperature. Austenitic stainless steel contains chromium to enhance the corrosion resistance. The present work is aimed at experimental investigation of chip formation process, through machining of austenitic stainless steel (316L), giving more emphasis on to the effect of material properties during chip formation. Quality characteristic of machined item relies on properties of material during machining. The formation of plasticity transition of the material creates a complex situation during machining. The quality characteristic of the machined item depends much on formation of different phenomena particularly in the transitional and secondary flow regions. Assessment on the development of Von Mises stress during machining is an essential task. The experimental investigation has been carried out to asses Von Mises stress through tensile testing analysis of the material. Material properties “n” and “K” are required for estimation of Von Mises stress. Therefore, a correlation can be formed between the plasticity transition and subsequent loading. The Von Mises stress was estimated by considering material property. In addition, total work done during machining was also estimated through material property consideration in terms of "n" and "K". The formation of machining chip is rigorously depending on plastic deformation. These chips are developed under both high strain and high strain rate conditions. Thickness of chip shows the extent of plastic distortions that occurred as a result of machining. Therefore full integrated investigation needs to be performed from plasticity transition point of view. The thickness of chip plays a crucial role in experimental studies. However the measurement of chip thickness is usually problematic due to the occurrence of chip curls. Conventional measuring instruments like micrometre, Vernier-calliper etc.is not suitable. Therefore measurement of the chip length and weight were used to estimate the thickness of the chip. Experimental study on machining was carried out on austenitic stainless steel (316L) to understand the effect of chip thickness, shear angle, total work done and Von Mises stress with respect to cutting speed. Macroscopic examination of chip sample was done under various experimental conditions. The analysis was further carried out by performing SEM examination of various chips at different magnifications. II. EXPERIMENTAL ANALYSIS The assessment of machinability of Austenitic stainless steel (316L) was done on the basis of generation of Von Mises stress and chip formation mechanism. The workpiece is of dimension as 300mm length and 60mm diameter. The cutting tool used is Tungaloy made (chemical vapour deposition (CVD) coated carbide grades consist of a cemented carbide substrate TiCN). Coatings are deposited to 3 to 16 μm thick by means of a chemical vapour deposition method. The coating layer is hard and improves heat and oxidation resistance to make it chemically stable. With these advantages the coated grades prolong tool life and increase machining efficiency. TABLE I Chemical composition of austenitic stainless steel (316L) C% Mn% Si% P% Cr% Ni% Mo% S% Fe 0.010 1.623 0.321 0.010 16.122 10.147 2.123 0.005 Balanced Central lathe is used for turning operation, with all gear drive having speed range from 45 rpm to 1000 rpm and feed range 0.06 mm/rev to 1.72 mm/rev A. Tool Used Holder Specification: ASBNR 25*25 M12-A Carbide inserts Specification: SNMG 120404 TM T9125
  • 3. International Journal of Innovative Research in Advanced Engineering (IJIRAE) ISSN: 2349-2163 Issue 05, Volume 5 (May 2018) www.ijirae.com _________________________________________________________________________________________________ IJIRAE: Impact Factor Value – SJIF: Innospace, Morocco (2016): 3.916 | PIF: 2.469 | Jour Info: 4.085 | ISRAJIF (2017): 4.011 | Indexcopernicus: (ICV 2016): 64.35 IJIRAE © 2014- 18, All Rights Reserved Page –199 B. Selection of Process parameters The parameters for machining were selected on the basis of values available on the lathe. The values available on the lathe are shown in Table II. TABLE II Machining parameters Coding -√2 -1 0 1 √2 Speed (m/min) 10.23 14.24 31.65 70.34 97.9 Feed (mm/rev) 0.01 0.11 0.14 0.18 0.20 DOC(mm) 0.56 0.67 1 1.5 1.77 Central composite design of the input parameters was followed for the analysis of the machining operation of the workpiece. 24 different combinations of these machining parameters were used to perform this experiment. After mounting, machining operation is carried out with these parameters using Tungaloy made cutting tool. For each cutting parameters chips formed are collected. These are given in Table III. TABLE III Different combination of cutting parameters used in machining Sr No. Assigned Code v f d Speed(v) (m/min) Feed(f) (mm/rev) Depth of cut(d) (mm) 1 1 1 1 70.34 0.18 1.5 2 1 1 -1 70.34 0.18 0.67 3 1 -1 1 70.34 0.11 1.5 4 1 -1 -1 70.34 0.11 0.67 5 -1 1 1 14.24 0.18 1.5 6 -1 1 -1 14.24 0.18 0.67 7 -1 -1 1 14.24 0.11 1.5 8 -1 -1 -1 14.24 0.11 0.67 9 √2 0 0 97.90 0.14 1 10 -√2 0 0 10.23 0.14 1 11 0 √2 0 31.65 0.20 1 12 0 -√2 0 31.65 0.01 1 13 0 0 √2 31.65 0.14 1.77 14 0 0 -√2 31.65 0.14 0.56 15 0 0 0 31.65 0.14 1 16 0 0 0 31.65 0.14 1 17 0 0 0 31.65 0.14 1 18 0 0 0 31.65 0.14 1 19 √2 0 0 97.90 0.14 1 20 -√2 0 0 10.23 0.14 1 21 0 √2 0 31.65 0.20 1 22 0 -√2 0 31.65 0.01 1 23 0 0 √2 31.65 0.14 1.77 24 0 0 -√2 31.65 0.14 0.563 Fig. 1 Austenitic stainless steel (316L) mounted on lathe
  • 4. International Journal of Innovative Research in Advanced Engineering (IJIRAE) ISSN: 2349-2163 Issue 05, Volume 5 (May 2018) www.ijirae.com _________________________________________________________________________________________________ IJIRAE: Impact Factor Value – SJIF: Innospace, Morocco (2016): 3.916 | PIF: 2.469 | Jour Info: 4.085 | ISRAJIF (2017): 4.011 | Indexcopernicus: (ICV 2016): 64.35 IJIRAE © 2014- 18, All Rights Reserved Page –200 III.THEORY AND RESULT After performing the machining operation, chip thickness was measured for different experiments and subsequently chip reduction coefficient, shear angle, Von Mises stress and Total Work done were also calculated. Chip thickness, Width of the chip, Uncut chip thickness, Chip reduction coefficient, Shear angle, Von Mises stress are calculated from the theoretical relations which are shown in equations given below. Chip thickness t2 = Where, t2 =Chip thickness W = Weight of chip in grams = Density of chip in g/cm3 w = Width of chip in cm = Average length of the chip in cm Width of chip w Where, d=Depth of cut in mm =Principle approach angle (in degree) =Density of austenitic stainless steel, 8g/cm3 Uncut chip thickness t1, t1 = f *sin Where, f = Feed in mm =Principal Cutting edge angle (in degree) Chip reduction coefficient ζ , ζ = Shear angle 0, Where, = Rake Angle (in degree) Von-Mises Stress v, v =1.74K(ln )n Where, K = Strength Coefficient (N/mm2) n = Strain hardening Exponent These two parameters are calculated by using the plot of true stress vs true strain on the log- log graph paper. The values of true strain and true stress are calculated by using the results of tensile test performed on the specimen. Fig.2 stress vs strain graph
  • 5. International Journal of Innovative Research in Advanced Engineering (IJIRAE) ISSN: 2349-2163 Issue 05, Volume 5 (May 2018) www.ijirae.com _________________________________________________________________________________________________ IJIRAE: Impact Factor Value – SJIF: Innospace, Morocco (2016): 3.916 | PIF: 2.469 | Jour Info: 4.085 | ISRAJIF (2017): 4.011 | Indexcopernicus: (ICV 2016): 64.35 IJIRAE © 2014- 18, All Rights Reserved Page –201 Fig. 3 Broken specimen after tensile test From the results of tensile test, true stress and true strain are evaluated at different points between the ultimate stress point and yield point, these results are then plotted on log-log graph and from that log-log plot, values of n and K were evaluated. Strain hardening exponent “n” is the slope of straight line and “K” is the true stress value when the extrapolated graph coincide with true strain at numerical value 1. True stress and true strain are determined by equations. True stress, t = (1+ϵ) True strain, ϵt = ln(l+ϵ) Where, = Stress at different points on stress vs. strain plot. ϵ = Strain at different points on stress vs. strain plot. From the log-log graph paper values of “n” and “K” comes out to be 0.55 and 850N/mm2 Fig. 4 True stress vs true strain graph So the power law equation is established from the true stress vs true strain graph and final power law equation becomes as For total work done, firstly elemental work done is calculated as shown in equation Elemental work done WE, Total Work done TW. Tw = WE*v*f*d*t Where, v = Cutting speed (m/min) f = Feed (mm/rev) d = Depth of cut (mm) t = Time in minute Fig. 5 Variation of cutting velocity vs chip thickness
  • 6. International Journal of Innovative Research in Advanced Engineering (IJIRAE) ISSN: 2349-2163 Issue 05, Volume 5 (May 2018) www.ijirae.com _________________________________________________________________________________________________ IJIRAE: Impact Factor Value – SJIF: Innospace, Morocco (2016): 3.916 | PIF: 2.469 | Jour Info: 4.085 | ISRAJIF (2017): 4.011 | Indexcopernicus: (ICV 2016): 64.35 IJIRAE © 2014- 18, All Rights Reserved Page –202 The deviation of chip thickness, chip reduction coefficient, shear angle, von mises stress and total work done with respect to cutting velocity keeping feed and depth of cut constant (0.14mm/rev and 1mm respectively) are shown in following fig. Fig. 6 Variation of cutting velocity vs Chip reduction coefficient Fig. 7 Variation of cutting velocity vs shear angle Fig. 8 Variation of cutting velocity vs Von Mises stress Fig. 9 Variation of cutting velocity vs total work done It is found from the above graphs decrease in chip thickness and chip reduction coefficient at higher cutting speed is mainly due to work hardening effect. Value of chip thickness seems to decrease at higher value of shear angle. Von Mises stress is also found to be higher at very low cutting speed keeping feed and depth of cut constant at 0.14mm/rev and 1mm respectively. This is attributed to the austenitic retention effect. Total work done is found to be increasing with increase in cutting speed. A. SEM Testing Results SEM testing was performed on the chips obtained by machining austenitic stainless steel (316L) with Carbide insert tool. The chip formation mechanism is established from the SEM images.
  • 7. International Journal of Innovative Research in Advanced Engineering (IJIRAE) ISSN: 2349-2163 Issue 05, Volume 5 (May 2018) www.ijirae.com _________________________________________________________________________________________________ IJIRAE: Impact Factor Value – SJIF: Innospace, Morocco (2016): 3.916 | PIF: 2.469 | Jour Info: 4.085 | ISRAJIF (2017): 4.011 | Indexcopernicus: (ICV 2016): 64.35 IJIRAE © 2014- 18, All Rights Reserved Page –203 SEM images were taken at the highest and the lowest values of the cutting parameters (speed, feed, and depth of cut) for comparison. The parameters are denoted by: (v, f, d) = (√2, √2, √2) and (-√2, -√2, -√2) SEM images taken at different magnifications for cutting velocity of 97.9 m/min, feed of 0.199 mm/rev and depth of cut of 1.774 mm: (a) (b) (c) (d) Fig. 10 SEM images of chips at 50X magnification (a) Top surface (b) Bottom surface (c) Side surface (d) Side surface From the observation of SEM images, it is concluded that at higher cutting parameter conditions, the chip formation occurs by saw tooth mechanism. This is mainly due to thermal instability during machining at higher cutting speed. Lower thermal conductivity of austenitic stainless steel causes adiabatic shear instability which leads to saw tooth chip formation. The process of chip formation is adverse during machining at higher cutting speed. SEM images taken at different magnifications for cutting velocity of 10.23 m/min, feed of 0.098 mm/rev and depth of cut of 0.5636 mm: (a) (b) (c) (d) Fig.11 SEM images of chips at 50X magnification (a) Top surface (b) Bottom surface (c) Side surface (d) Side surface From the observation of SEM images, it is concluded that at minimized cutting parameter conditions, the chips are produced by shear sliding mechanism. Chip formation mode is found to be favourable at this condition.
  • 8. International Journal of Innovative Research in Advanced Engineering (IJIRAE) ISSN: 2349-2163 Issue 05, Volume 5 (May 2018) www.ijirae.com _________________________________________________________________________________________________ IJIRAE: Impact Factor Value – SJIF: Innospace, Morocco (2016): 3.916 | PIF: 2.469 | Jour Info: 4.085 | ISRAJIF (2017): 4.011 | Indexcopernicus: (ICV 2016): 64.35 IJIRAE © 2014- 18, All Rights Reserved Page –204 B. Effect of Von Mises Stress on Machining (Theoretical analysis) The second order equation for Von Mises stress was found by using analysis of variance (ANOVA) using experimentally calculated values of Von Mises stress corresponding to cutting speed, feed and depth of cut. Y(Von Mises stress)=1263.4+0.1X1-22.0X2-44.0X3+20.8X1 2+49.8X2 2-93.7X3 2+78.3X1X2-98.2X1X3+102.5X2X3 Where, X1= Cutting speed X2= Feed X3= Depth of cut Effect of Von Mises stress on machining is observed at different machining parameters. The values of Von Mises stress at different cutting speed, feed and depth of cut is used and graphs are plotted at speed code 0 and speed code 1 in Fig. 12. Fig.12 Variation of von mises stress with feed code and doc at different speed code Speed code 0 (left) and speed code 1 (right) From fig. 12, it is seen that increase of feed has negligible effect on Von Mises stress at lower speed code 0, but with increase of depth of cut, Von Mises stress reduces. This is attributed to easy chip breaking at higher depth of cut condition. From fig. 12, it can be seen that extent of Von Mises stress is comparatively higher at higher speed code 1, specifically at higher feed and moderate depth of cut which is attributed to the much work hardening effect leading to phase transformation at this condition. However, at higher speed code 1, specifically at lower feed and higher depth of cut condition the Von Mises stress is seen to be reduced because of easy chip breaking condition under work hardening stage leading to brittle transition at this specific cutting condition. IV. CONCLUSIONS i. Chip thickness reduces with increase in cutting velocity under specific cutting condition and increased value of chip thickness causes decrease in shear angle. ii. Von Mises stress reduces with increase of cutting speed at specific cutting condition. Theoretical studies shows with increase in cutting speed Von Mises stress increases because of work hardening of austenitic stainless steel leading to phase transformation, this adversely affects the machinability of material. iii. Adverse chip formation mode occurs due to adiabatic shear instability at higher cutting speed causing saw tooth chip. This is because of the lower thermal conductivity of the material. Chip formation mode is found to be favourable at lower cutting speed. iv. Low speed machining can be recommended for this type of material. v. Machining on austenitic stainless steel (316L) is found to be influenced by austenitic retention effect and transformational effect during the machining work. ACKNOWLEDGMENT The authors gratefully acknowledge the financial assistance provided for this work by our institution NIT Silchar, and express deep gratitude towards the production engineering lab of NIT Silchar and SEM lab of IIT Kanpur to conduct different experiments related to this project and to all other people who helped in success of this work.
  • 9. International Journal of Innovative Research in Advanced Engineering (IJIRAE) ISSN: 2349-2163 Issue 05, Volume 5 (May 2018) www.ijirae.com _________________________________________________________________________________________________ IJIRAE: Impact Factor Value – SJIF: Innospace, Morocco (2016): 3.916 | PIF: 2.469 | Jour Info: 4.085 | ISRAJIF (2017): 4.011 | Indexcopernicus: (ICV 2016): 64.35 IJIRAE © 2014- 18, All Rights Reserved Page –205 REFERENCES 1. Michael Lahres, Oliver Doerfel, Ralf Neumuller. “Applicability of different hard coatings in dry machining an austenitic steel”. Surface and Coatings Technology 120–121 (1999) 687–691. 2. Ibrahim Ciftci. “Machining of austenitic stainless steels using CVDmulti-layer coated cemented carbide tools”. Tribology International 39 (2006) 565–569. 3. D. O’Sullivan, M. Cotterell. “Machinability of austenitic stainless steel SS303”.Journal of Materials Processing Technology 124 (2002) 153–159. 4. Atul P. Kulkarni, Girish G. Joshi, Vikas G. Sargade. “Dry turning of AISI 304 austenitic stainless steel using ALTiCrN coated insert produced by HPPMS technique”. Procedia Engineering 64 ( 2013 ) 737 – 746. 5. Zafer Tekıner, SezginYesilyurt. “Investigation of the cutting parameters depending on process sound during turning of AISI 304 austenitic stainless steel”. Materials and Design 25 (2004) 507–513. 6. Cebeli Ozek, Ahmet Hascalik, Ulaş Çaydas, Faruk Karaca, Engin Ünal. “Turning of AISI 304 austenitic stainless Steel”. Journal of Engineering and Natural Sciences (2006). 7. Ihsan Korkut, Mustafa Kasap, Ibrahim Ciftci, UlviSeker. “Determination of optimum cutting parameters during machining of AISI 304 austenitic stainless steel”. Materials and Design 25 (2004) 303–305.