SlideShare a Scribd company logo
IMRAN SARKER
INDUSTRIAL & PRODUCTION ENGINEER
AHSANULLAH UNIVERSITY OF SCIENCE & TECHNOLOGY
ID: 14-01-07-065
Parametric study of surface roughness in turning of
AZ31B Mg alloy under different cooling conditions
SUPERVISOR: MOZAMMEL MIA
ASSISTANT PROFESSOR, MPE, AUST
2
Contents
 Introduction
 Literature review
 Scope of work
 Objective
Contents
 Methodology
 Experimental conditions
 Results and discussion
Contents
 Results and discussion
(cont.)
 Conclusion
Framework
 Introduction
 Literature review
 Scope of work
 Objectives
 Methodology
 Results and discussion
 Conclusion
3
Introduction
 AZ31B Mg alloy is used in aerospace and automobile industry
 This is due to its light weight but good specific strength property
 However, the processing of Mg alloy is mostly done by using machining
 Turning stands out as one of the mostly used machining processes
 The quality of produced products by turning can be evaluated by the roughness
value
 Surface roughness value is determined by different roughness parameters
 Considering the above facts, the parametric study of surface roughness in turning of
Mg AZ31B alloy is performed
4
Literature review
Author(s) Year Remarks
Pu et al. 2012
• Surface roughness was studied for AZ31B under cryogenic
cooling
• Improved roughness was found by cryogenic condition
Villeta et al. 2011
• Dry turning of Mg alloy was done
• Led to high surface roughness value between 0.975 and 1.425
µm
Bhowmick et al. 2010
• Dry and MQL were used in drilling of Mg alloy
• Dry cutting was found as the most appropriate condition to
avoid tool failure
5
Literature review
Author(s) Year Remarks
Dinesh et al. 2010
• Used cryogenic liquid while turning ZK60 Mg alloy
• Cryogenic liquid during machining improves the surface
characteristics
Fang et al. 2005
• The mean temperature on the flank face was presented.
• Predicted the occurrence of fire in high speed cutting of
magnesium alloys.
Tönshoff et al. 1997
• Turning operation of AZ91 HP was done
• The influence of the cooling conditions gives different
cutting tool and material and coating results
6
Scope of work
 Based on the knowledge found in the literature reviews, there is scope of conducting
experimental study in turning operation of AZ31B Mg alloy regarding-
Surface roughness parameters:
 Arithmetic mean of roughness parameter (Ra)
 Root mean square roughness (Rq)
 Average maximum height surface roughness (Rz)
 Maximum height of the profile (Rt)
 Maximum profile peak height (Rp)
 Maximum profile valley depth (Rv)
7
Illustration of surface roughness parameters
8
Graphical
view of Ra
,Rq, Rt
Graphical
view of Rp,
Rv, Rz
Objectives
 Study of different surface roughness parameters in turning of AZ31B Mg
 Determine the influence of dry, flood and MQL on roughness parameters
 Evaluate the influence of cutting speed, feed rate and depth of cut on the surface
roughness parameters
9
Methodology
10
Start
Straight
Turning
DOE by
Taguchi
Finding scope
and defining
objective
Literature
review
Input: Vc, f, d
Output: Ra, Rq, Rz, Rp,
Rt, Rv
Environment: Dry, wet,
MQL
Measurement of
surface roughness
parameters: Ra, Rq, Rz,
Rp, Rt, Rv
Successful
parametric
study
End
Experimental conditions
Material: AZ31B Mg Alloy
Treatment: High pressure die casting by analysis from International Magnesium
Association (IMA).
Dimension: Length = 500 mm; Diameter = 70 mm.
Cutting tool: Coated tungsten carbide (WC).
Dimension: Length = 12 mm; Width = 12 mm; Height = 5 mm.
Coolant: Conventional flood cooling and MQL.
Machine : Lathe [Power: 7.5 HP, Maximum spindle speed: 1600 rpm, Manufacturing
country: China].
11
Experimental conditions (contd.)
Control factors in cutting parameters
 Cutting speed: 45 m/min,105 m/min,165 m/min
 Feed rate: 0.10 mm/rev, 0.14 mm/rev, 0.18 mm/rev
 Depth of cut: 0.5 mm, 1 mm, 1.5 mm
 Cutting conditions: Dry, wet, minimum quantity lubrication
12
Photographic views of experimental equipments
AZ31B Mg
alloy as work
material
Turning
operation
*Experimental runs were conducted in Machine shop laboratory of MPE dept, AUST 13
Surface
roughness
tester
Tool holder &
insert
Results and discussion
The adopted analysis process is performed using the followings-
 Main effect plots
 Contour plots
 3D surface plot
 Response table
14
Arithmetic mean of roughness parameter (Ra)
 Ra is most significantly affected by the
changes in the feed rate
 Feed rate is the most dominant factor
among all four factors
15
Table 4.1.1
Response Table for mean of means of average surface
roughness (Ra). [Smaller is better]
Level Cutting speed Feed rate Depth of cut
Cutting
condition
1 1.0679 0.6410 1.0605 1.1867
2 1.1194 1.1119 1.1019 1.0799
3 1.1125 1.5469 1.1375 1.0332
Delta 0.0515 0.9059 0.0770 0.1536
Rank 4 1 3 2
Arithmetic mean of roughness parameter (Ra) (Cont.)
 The depth of cut hardly changes the average
surface roughness value; but the feed rate
has significant effect
 When the feed rate is increasing the value of
Ra is increasing in a more drastic manner
16
5.0
0.1
.0 5
1.0
51.
0 521.
0.100
5.1
0
00.15
0 521.
0.175
51.
0.2
aR
deeF
tuCfohtpeD
urfS ce Plot of Ra vs Feed, Cutting Speeda
Depth of Cut
Feed
1.501.251.000.750.50
0.175
0.150
0.125
0.100
>
–
–
–
–
–
< 0.50
0.50 0.75
0.75 1.00
1.00 1.25
1.25 1.50
1.50 1.75
1.75
Ra
Contour Plot of Ra vs Feed, Depth of Cut
Root mean square surface roughness parameter(Rq)
 The mean of Rq is less significantly affected
by the changes in the cutting speed
 Cutting condition is the second dominant
factor after feed rate
Table 4.2.1
Response Table for mean of means of root mean square
roughness (Rq) [Smaller is better]
Level Cutting speed Feed rate Depth of cut
Cutting
condition
1 1.2626 0.7876 1.2551 1.4190
2 1.3328 1.3080 1.3110 1.2869
3 1.3264 1.8261 1.3556 1.2159
Delta 0.0702 1.0385 0.1005 0.2031
Rank 4 1 3 2
17
Root mean square surface roughness parameter(Rq) (Cont.)
 Due to the deviation of feed rate, the
value of Rq varies; but depth of cut has
slight influence
 When the depth of cut is increasing value of
Rq does not change like feed rate
18
Depth of Cut
Feed
1.501.251.000.750.50
0.175
0.150
0.125
0.100
>
–
–
–
–
–
< 0.6
0.6 0.9
0.9 1.2
1.2 1.5
1.5 1.8
1.8 2.1
2.1
Rq
Contour Plot of Rq vs Feed, Depth of Cut
0.5
1.0
.0 5
1 0.
.1 5
10. 52
001.0
5.1
0
.10 50
10. 52
.170 5
2.0
qR
deeF
tuCfohtpeD
urface Plot of Rq v Feed, Depth ofS Cuts
Ten point mean roughness parameter(Rz)
 With the development of the cutting depth,
the mean of Rz increases at a continual rate
 Cutting speed is the most insignificant
among all four factors
Table 4.3.1
Response Table for mean of means of average maximum height
(Rz). [Smaller is better]
Level Cutting speed Feed rate Depth of cut
Cutting
condition
1 4.412 2.980 4.215 5.019
2 4.536 4.831 4.561 4.402
3 4.655 5.792 4.827 4.182
Delta 0.243 2.812 0.612 0.838
Rank 4 1 3 2
19
Ten point mean roughness parameter(Rz) (Cont.)
 The depth of cut scarcely influences the
average maximum height value; increased
feed rate has important influence
 The waviness created at some points is due
to the interaction between feed and depth
of cut
20
Depth of Cut
Feed
1.501.251.000.750.50
0.175
0.150
0.125
0.100
–
–
–
–
–
< 2
2 3
3 4
4 5
5 6
6 7
Rz
Contour Plot of Rz vs Feed, Depth of Cut
0.5
1.0
2
4
6
1. 50 2
0.100
5.1
0
. 00 51
1. 50 2
0.175
6
8
zR
deeF
tuCfohtpeD
urface Plot ofS Rz v Feed, Depth of Cuts
Maximum height of the profile parameter(Rt)
 Cutting condition has shown contradictory
but regular changes in manipulating the
mean of Rt
 Depth of cut is third most significant factor
among the four control factors
Table 4.4.1
Response Table for mean of means of the maximum height of
the surface (Rt) [Smaller is better]
Level Cutting speed Feed rate Depth of cut
Cutting
condition
1 6.035 4.141 5.657 6.758
2 6.173 6.221 6.075 5.869
3 6.014 7.860 6.491 5.596
Delta 0.160 3.719 0.835 1.162
Rank 4 1 3 2
21
Maximum height of the profile parameter(Rt) (Cont.)
 The average maximum height value does
not get much effect by cutting depth, feed
rate increases the parameter value
 Feed rate has much more significant affect
on Rt than depth of cut
22Depth of Cut
Feed
1.501.251.000.750.50
0.175
0.150
0.125
0.100
>
–
–
–
–
–
–
< 3
3 4
4 5
5 6
6 7
7 8
8 9
9
Rt
Contour Plot of Rt vs Feed, Depth of Cut
.0 5
.01
4
6
8
. 5210
01.0 0
5.1
0
501.0
. 5210
51.0 7
8
10
tR
deeF
tuCfohtpeD
urface Plot oS Rt vf Feed, Depth of Cuts
Maximum profile peak height(Rp)
 Increase in cutting speed from the lowest
to highest value results in a slight
increase in the mean of Rp
 Feed rate has the highest value of delta
proving feed rate is the leading factor among
four other factors
Table 4.5.1
Response Table for mean of means of the maximum profile
peak height (Rp). [Smaller is better]
Level Cutting speed Feed rate Depth of cut
Cutting
condition
1 2.597 1.641 2.375 3.020
2 2.807 2.861 2.787 2.611
3 2.825 3.727 3.068 2.598
Delta 0.228 2.086 0.693 0.422
Rank 4 1 2 3
23
Maximum profile peak height(Rp) (Cont.)
 Maximum height value does not quite
change with changes referred to depth of
cut but feed rate value do
 Profile peak value increases when the feed
rate is high
24Depth of Cut
Feed
1.501.251.000.750.50
0.175
0.150
0.125
0.100
>
–
–
–
–
< 1
1 2
2 3
3 4
4 5
5
Rp
Contour Plot of Rp vs Feed, Depth of Cut
50.
1.0
1.0
52.
4.0
52.10
000 1.
5.1
0
0 051.
52.10
570.1
4.0
5 5.
pR
deeF
tuCfohtpeD
urface Plot of Rp v dFeeS , Depth of Cuts
Maximum profile valley depth(Rv)
 Increase in cutting speed from the lowest to
highest value results in a slight increase in
the mean of Rv
 Cutting speed has the least effect on the
average surface roughness value.
Table 4.6.1
Response Table for mean of means the maximum profile valley
depth (Rv). [Smaller is better]
Level Cutting speed Feed rate Depth of cut
Cutting
condition
1 1.810 1.339 1.896 1.987
2 1.876 1.970 1.824 1.784
3 1.828 2.205 1.795 1.743
Delta 0.067 0.865 0.101 0.244
Rank 4 1 3 2
25
Maximum profile valley depth(Rv) (Cont.)
 The lower feed rate is associated with lower
surface roughness and the upper portion of
the plot represents higher values of Rv.
 The value of Rv is increasing exceedingly
when the feed rate is escalated
26Depth of Cut
Feed
1.501.251.000.750.50
0.175
0.150
0.125
0.100
>
–
–
–
–
< 1.0
1.0 1.5
1.5 2.0
2.0 2.5
2.5 3.0
3.0
Rv
Contour Plot of Rv vs Feed, Depth of Cut
50.
1.0
1
2
0.125
0.10 0
5.1
0
051.0
0.125
571.0
3
vR
deeF
tuCfohtpeD
urface Plot of Rv v dFeeS , Depth of Cuts
Conclusion
 The cutting speed has insignificant impact on the studied surface roughness parameters
among all the four control factors.
 Feed rate expressed itself as the most dominant control factor to determine a better surface
roughness parameter.
 Depth of cut has less effect on the surface roughness parameters compared to feed rate.
 In cutting condition, MQL emerged as the major cooling condition compared to other two
conditions which are dry and flood condition.
27

More Related Content

What's hot

Friction stir welding and processing
Friction stir welding and processing Friction stir welding and processing
Friction stir welding and processing
Saurabh Suman
 
EXPERIMENTAL INVESTIGATION AND MATERIAL CHARACTERIZATION OF A356 BASED COMPO...
EXPERIMENTAL INVESTIGATION AND MATERIAL CHARACTERIZATION OF A356 BASED  COMPO...EXPERIMENTAL INVESTIGATION AND MATERIAL CHARACTERIZATION OF A356 BASED  COMPO...
EXPERIMENTAL INVESTIGATION AND MATERIAL CHARACTERIZATION OF A356 BASED COMPO...
sathish sak
 
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
 
A Review Study of Investigation on Titanium Alloy Coatings for Wear Resistanc...
A Review Study of Investigation on Titanium Alloy Coatings for Wear Resistanc...A Review Study of Investigation on Titanium Alloy Coatings for Wear Resistanc...
A Review Study of Investigation on Titanium Alloy Coatings for Wear Resistanc...
IRJET Journal
 
Optimization of tungsten inert gas welding on 6063 aluminum alloy on taguchi ...
Optimization of tungsten inert gas welding on 6063 aluminum alloy on taguchi ...Optimization of tungsten inert gas welding on 6063 aluminum alloy on taguchi ...
Optimization of tungsten inert gas welding on 6063 aluminum alloy on taguchi ...
RSIS International
 
Dilip Kumar Bagal Journal
Dilip Kumar Bagal JournalDilip Kumar Bagal Journal
Dilip Kumar Bagal Journal
Dilip Bagal
 
Experimental study on hardness for sintered si cp reinforced ammcs using the ...
Experimental study on hardness for sintered si cp reinforced ammcs using the ...Experimental study on hardness for sintered si cp reinforced ammcs using the ...
Experimental study on hardness for sintered si cp reinforced ammcs using the ...
eSAT Publishing House
 
MICROSTRUCTURAL CHARACTERIZATION AND HOT EROSION BEHAVIOR OF CRC-NICR COATED ...
MICROSTRUCTURAL CHARACTERIZATION AND HOT EROSION BEHAVIOR OF CRC-NICR COATED ...MICROSTRUCTURAL CHARACTERIZATION AND HOT EROSION BEHAVIOR OF CRC-NICR COATED ...
MICROSTRUCTURAL CHARACTERIZATION AND HOT EROSION BEHAVIOR OF CRC-NICR COATED ...
IAEME Publication
 
IRJET- Study on Process Parameters of Diffusion Bonding of Titanium with ...
IRJET-  	  Study on Process Parameters of Diffusion Bonding of Titanium with ...IRJET-  	  Study on Process Parameters of Diffusion Bonding of Titanium with ...
IRJET- Study on Process Parameters of Diffusion Bonding of Titanium with ...
IRJET Journal
 
QUENCHING CRACK ANALYSIS OF BIG SIZE FORGING BY FE ANALYSIS
QUENCHING CRACK ANALYSIS OF BIG SIZE FORGING BY FE ANALYSISQUENCHING CRACK ANALYSIS OF BIG SIZE FORGING BY FE ANALYSIS
QUENCHING CRACK ANALYSIS OF BIG SIZE FORGING BY FE ANALYSIS
IAEME Publication
 
IRJET- Evaluation of Concrete Strength by Monitoring Concrete Temperature...
IRJET-  	  Evaluation of Concrete Strength by Monitoring Concrete Temperature...IRJET-  	  Evaluation of Concrete Strength by Monitoring Concrete Temperature...
IRJET- Evaluation of Concrete Strength by Monitoring Concrete Temperature...
IRJET Journal
 
Design and analysis of materials and engineering structures
Design and analysis of materials and engineering structuresDesign and analysis of materials and engineering structures
Design and analysis of materials and engineering structures
Springer
 
Experimental Investigation of Multi-Pass, Welding Current & Arc Travel Speed ...
Experimental Investigation of Multi-Pass, Welding Current & Arc Travel Speed ...Experimental Investigation of Multi-Pass, Welding Current & Arc Travel Speed ...
Experimental Investigation of Multi-Pass, Welding Current & Arc Travel Speed ...
IRJET Journal
 
Evaluation Performance ofan Annular Composite Fin by UsingMATLAB Programming
Evaluation Performance ofan Annular Composite Fin by UsingMATLAB ProgrammingEvaluation Performance ofan Annular Composite Fin by UsingMATLAB Programming
Evaluation Performance ofan Annular Composite Fin by UsingMATLAB Programming
IJERA Editor
 
Cp36547553
Cp36547553Cp36547553
Cp36547553
IJERA Editor
 
Determination of Heat Treatment Parameters for heavily-loaded aircraft engine...
Determination of Heat Treatment Parameters for heavily-loaded aircraft engine...Determination of Heat Treatment Parameters for heavily-loaded aircraft engine...
Determination of Heat Treatment Parameters for heavily-loaded aircraft engine...
Thu Nguyen
 
Remaining life assessment of refinery furnace tubes using finite element method
Remaining life assessment of refinery furnace tubes using finite element methodRemaining life assessment of refinery furnace tubes using finite element method
Remaining life assessment of refinery furnace tubes using finite element method
Barhm Mohamad
 
Ansys simulation of temperature distribution in plate casting 29983
Ansys simulation of temperature distribution in plate casting 29983Ansys simulation of temperature distribution in plate casting 29983
Ansys simulation of temperature distribution in plate casting 29983
EditorIJAERD
 
Ppt
PptPpt
Simulation of Stir Casting Process Using Computational Fluid Dynamics
Simulation of Stir Casting Process Using Computational Fluid DynamicsSimulation of Stir Casting Process Using Computational Fluid Dynamics
Simulation of Stir Casting Process Using Computational Fluid Dynamics
IJERA Editor
 

What's hot (20)

Friction stir welding and processing
Friction stir welding and processing Friction stir welding and processing
Friction stir welding and processing
 
EXPERIMENTAL INVESTIGATION AND MATERIAL CHARACTERIZATION OF A356 BASED COMPO...
EXPERIMENTAL INVESTIGATION AND MATERIAL CHARACTERIZATION OF A356 BASED  COMPO...EXPERIMENTAL INVESTIGATION AND MATERIAL CHARACTERIZATION OF A356 BASED  COMPO...
EXPERIMENTAL INVESTIGATION AND MATERIAL CHARACTERIZATION OF A356 BASED COMPO...
 
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...
 
A Review Study of Investigation on Titanium Alloy Coatings for Wear Resistanc...
A Review Study of Investigation on Titanium Alloy Coatings for Wear Resistanc...A Review Study of Investigation on Titanium Alloy Coatings for Wear Resistanc...
A Review Study of Investigation on Titanium Alloy Coatings for Wear Resistanc...
 
Optimization of tungsten inert gas welding on 6063 aluminum alloy on taguchi ...
Optimization of tungsten inert gas welding on 6063 aluminum alloy on taguchi ...Optimization of tungsten inert gas welding on 6063 aluminum alloy on taguchi ...
Optimization of tungsten inert gas welding on 6063 aluminum alloy on taguchi ...
 
Dilip Kumar Bagal Journal
Dilip Kumar Bagal JournalDilip Kumar Bagal Journal
Dilip Kumar Bagal Journal
 
Experimental study on hardness for sintered si cp reinforced ammcs using the ...
Experimental study on hardness for sintered si cp reinforced ammcs using the ...Experimental study on hardness for sintered si cp reinforced ammcs using the ...
Experimental study on hardness for sintered si cp reinforced ammcs using the ...
 
MICROSTRUCTURAL CHARACTERIZATION AND HOT EROSION BEHAVIOR OF CRC-NICR COATED ...
MICROSTRUCTURAL CHARACTERIZATION AND HOT EROSION BEHAVIOR OF CRC-NICR COATED ...MICROSTRUCTURAL CHARACTERIZATION AND HOT EROSION BEHAVIOR OF CRC-NICR COATED ...
MICROSTRUCTURAL CHARACTERIZATION AND HOT EROSION BEHAVIOR OF CRC-NICR COATED ...
 
IRJET- Study on Process Parameters of Diffusion Bonding of Titanium with ...
IRJET-  	  Study on Process Parameters of Diffusion Bonding of Titanium with ...IRJET-  	  Study on Process Parameters of Diffusion Bonding of Titanium with ...
IRJET- Study on Process Parameters of Diffusion Bonding of Titanium with ...
 
QUENCHING CRACK ANALYSIS OF BIG SIZE FORGING BY FE ANALYSIS
QUENCHING CRACK ANALYSIS OF BIG SIZE FORGING BY FE ANALYSISQUENCHING CRACK ANALYSIS OF BIG SIZE FORGING BY FE ANALYSIS
QUENCHING CRACK ANALYSIS OF BIG SIZE FORGING BY FE ANALYSIS
 
IRJET- Evaluation of Concrete Strength by Monitoring Concrete Temperature...
IRJET-  	  Evaluation of Concrete Strength by Monitoring Concrete Temperature...IRJET-  	  Evaluation of Concrete Strength by Monitoring Concrete Temperature...
IRJET- Evaluation of Concrete Strength by Monitoring Concrete Temperature...
 
Design and analysis of materials and engineering structures
Design and analysis of materials and engineering structuresDesign and analysis of materials and engineering structures
Design and analysis of materials and engineering structures
 
Experimental Investigation of Multi-Pass, Welding Current & Arc Travel Speed ...
Experimental Investigation of Multi-Pass, Welding Current & Arc Travel Speed ...Experimental Investigation of Multi-Pass, Welding Current & Arc Travel Speed ...
Experimental Investigation of Multi-Pass, Welding Current & Arc Travel Speed ...
 
Evaluation Performance ofan Annular Composite Fin by UsingMATLAB Programming
Evaluation Performance ofan Annular Composite Fin by UsingMATLAB ProgrammingEvaluation Performance ofan Annular Composite Fin by UsingMATLAB Programming
Evaluation Performance ofan Annular Composite Fin by UsingMATLAB Programming
 
Cp36547553
Cp36547553Cp36547553
Cp36547553
 
Determination of Heat Treatment Parameters for heavily-loaded aircraft engine...
Determination of Heat Treatment Parameters for heavily-loaded aircraft engine...Determination of Heat Treatment Parameters for heavily-loaded aircraft engine...
Determination of Heat Treatment Parameters for heavily-loaded aircraft engine...
 
Remaining life assessment of refinery furnace tubes using finite element method
Remaining life assessment of refinery furnace tubes using finite element methodRemaining life assessment of refinery furnace tubes using finite element method
Remaining life assessment of refinery furnace tubes using finite element method
 
Ansys simulation of temperature distribution in plate casting 29983
Ansys simulation of temperature distribution in plate casting 29983Ansys simulation of temperature distribution in plate casting 29983
Ansys simulation of temperature distribution in plate casting 29983
 
Ppt
PptPpt
Ppt
 
Simulation of Stir Casting Process Using Computational Fluid Dynamics
Simulation of Stir Casting Process Using Computational Fluid DynamicsSimulation of Stir Casting Process Using Computational Fluid Dynamics
Simulation of Stir Casting Process Using Computational Fluid Dynamics
 

Similar to Parametric study of surface roughness in turning of az31 b mg alloy under different cooling conditions

K046026973
K046026973K046026973
K046026973
IJERA Editor
 
Turning Parameter Optimization for Material Removal Rate of AISI 4140 Alloy S...
Turning Parameter Optimization for Material Removal Rate of AISI 4140 Alloy S...Turning Parameter Optimization for Material Removal Rate of AISI 4140 Alloy S...
Turning Parameter Optimization for Material Removal Rate of AISI 4140 Alloy S...
IRJET Journal
 
An Experimental Study of the Effect of Control Parameters on the Surface Roug...
An Experimental Study of the Effect of Control Parameters on the Surface Roug...An Experimental Study of the Effect of Control Parameters on the Surface Roug...
An Experimental Study of the Effect of Control Parameters on the Surface Roug...
IOSR Journals
 
Optimization of Process Parameters for Turning of Mild Steel in Minimum Quant...
Optimization of Process Parameters for Turning of Mild Steel in Minimum Quant...Optimization of Process Parameters for Turning of Mild Steel in Minimum Quant...
Optimization of Process Parameters for Turning of Mild Steel in Minimum Quant...
International Journal of Modern Research in Engineering and Technology
 
Comparison Study of Optimization of Surface Roughness Parameters in Turning E...
Comparison Study of Optimization of Surface Roughness Parameters in Turning E...Comparison Study of Optimization of Surface Roughness Parameters in Turning E...
Comparison Study of Optimization of Surface Roughness Parameters in Turning E...
IRJET Journal
 
Effectiveness of multilayer coated tool in turning of aisi 430 f steel
Effectiveness of multilayer coated tool in turning of aisi 430 f steelEffectiveness of multilayer coated tool in turning of aisi 430 f steel
Effectiveness of multilayer coated tool in turning of aisi 430 f steel
eSAT Journals
 
T4201135138
T4201135138T4201135138
T4201135138
IJERA Editor
 
The Effect of Process Parameters on Surface Roughness in Face Milling
The Effect of Process Parameters on Surface Roughness in Face MillingThe Effect of Process Parameters on Surface Roughness in Face Milling
The Effect of Process Parameters on Surface Roughness in Face Milling
inventionjournals
 
COMPARISON OF SURFACE ROUGHNESS OF COLDWORK AND HOT WORK TOOL STEELS IN HARD ...
COMPARISON OF SURFACE ROUGHNESS OF COLDWORK AND HOT WORK TOOL STEELS IN HARD ...COMPARISON OF SURFACE ROUGHNESS OF COLDWORK AND HOT WORK TOOL STEELS IN HARD ...
COMPARISON OF SURFACE ROUGHNESS OF COLDWORK AND HOT WORK TOOL STEELS IN HARD ...
ijmech
 
Optimization of Cylindrical Grinding Process Parameters on C40E Steel Using T...
Optimization of Cylindrical Grinding Process Parameters on C40E Steel Using T...Optimization of Cylindrical Grinding Process Parameters on C40E Steel Using T...
Optimization of Cylindrical Grinding Process Parameters on C40E Steel Using T...
IJERA Editor
 
A literature review on optimization of cutting parameters for surface roughne...
A literature review on optimization of cutting parameters for surface roughne...A literature review on optimization of cutting parameters for surface roughne...
A literature review on optimization of cutting parameters for surface roughne...
IJERD Editor
 
Enhancing the Submersible Pump Rotor Performance by Taguchi Optimization Tech...
Enhancing the Submersible Pump Rotor Performance by Taguchi Optimization Tech...Enhancing the Submersible Pump Rotor Performance by Taguchi Optimization Tech...
Enhancing the Submersible Pump Rotor Performance by Taguchi Optimization Tech...
IRJET Journal
 
Optimization of process parameters of WEDM for machining of monel r-405 mater...
Optimization of process parameters of WEDM for machining of monel r-405 mater...Optimization of process parameters of WEDM for machining of monel r-405 mater...
Optimization of process parameters of WEDM for machining of monel r-405 mater...
Pinkraj Gangwar
 
Process Parametric Optimization of CNC Vertical Milling Machine Using Taguchi...
Process Parametric Optimization of CNC Vertical Milling Machine Using Taguchi...Process Parametric Optimization of CNC Vertical Milling Machine Using Taguchi...
Process Parametric Optimization of CNC Vertical Milling Machine Using Taguchi...
IOSR Journals
 
Parametric optimisation of cnc turning for al 7020 with rsm
Parametric optimisation of cnc turning for al 7020 with rsmParametric optimisation of cnc turning for al 7020 with rsm
Parametric optimisation of cnc turning for al 7020 with rsm
Dr. Bikram Jit Singh
 
G045063944
G045063944G045063944
G045063944
IJERA Editor
 
Implementation of Response Surface Methodology for Analysis of Plain Turning ...
Implementation of Response Surface Methodology for Analysis of Plain Turning ...Implementation of Response Surface Methodology for Analysis of Plain Turning ...
Implementation of Response Surface Methodology for Analysis of Plain Turning ...
IJERD Editor
 
Optimization of Surface Roughness Parameters in Turning EN1A Steel on a CNC L...
Optimization of Surface Roughness Parameters in Turning EN1A Steel on a CNC L...Optimization of Surface Roughness Parameters in Turning EN1A Steel on a CNC L...
Optimization of Surface Roughness Parameters in Turning EN1A Steel on a CNC L...
IRJET Journal
 
A012520109
A012520109A012520109
A012520109
IOSR Journals
 
Parametric Analysis and Optimization of Turning Operation by Using Taguchi Ap...
Parametric Analysis and Optimization of Turning Operation by Using Taguchi Ap...Parametric Analysis and Optimization of Turning Operation by Using Taguchi Ap...
Parametric Analysis and Optimization of Turning Operation by Using Taguchi Ap...
IJMER
 

Similar to Parametric study of surface roughness in turning of az31 b mg alloy under different cooling conditions (20)

K046026973
K046026973K046026973
K046026973
 
Turning Parameter Optimization for Material Removal Rate of AISI 4140 Alloy S...
Turning Parameter Optimization for Material Removal Rate of AISI 4140 Alloy S...Turning Parameter Optimization for Material Removal Rate of AISI 4140 Alloy S...
Turning Parameter Optimization for Material Removal Rate of AISI 4140 Alloy S...
 
An Experimental Study of the Effect of Control Parameters on the Surface Roug...
An Experimental Study of the Effect of Control Parameters on the Surface Roug...An Experimental Study of the Effect of Control Parameters on the Surface Roug...
An Experimental Study of the Effect of Control Parameters on the Surface Roug...
 
Optimization of Process Parameters for Turning of Mild Steel in Minimum Quant...
Optimization of Process Parameters for Turning of Mild Steel in Minimum Quant...Optimization of Process Parameters for Turning of Mild Steel in Minimum Quant...
Optimization of Process Parameters for Turning of Mild Steel in Minimum Quant...
 
Comparison Study of Optimization of Surface Roughness Parameters in Turning E...
Comparison Study of Optimization of Surface Roughness Parameters in Turning E...Comparison Study of Optimization of Surface Roughness Parameters in Turning E...
Comparison Study of Optimization of Surface Roughness Parameters in Turning E...
 
Effectiveness of multilayer coated tool in turning of aisi 430 f steel
Effectiveness of multilayer coated tool in turning of aisi 430 f steelEffectiveness of multilayer coated tool in turning of aisi 430 f steel
Effectiveness of multilayer coated tool in turning of aisi 430 f steel
 
T4201135138
T4201135138T4201135138
T4201135138
 
The Effect of Process Parameters on Surface Roughness in Face Milling
The Effect of Process Parameters on Surface Roughness in Face MillingThe Effect of Process Parameters on Surface Roughness in Face Milling
The Effect of Process Parameters on Surface Roughness in Face Milling
 
COMPARISON OF SURFACE ROUGHNESS OF COLDWORK AND HOT WORK TOOL STEELS IN HARD ...
COMPARISON OF SURFACE ROUGHNESS OF COLDWORK AND HOT WORK TOOL STEELS IN HARD ...COMPARISON OF SURFACE ROUGHNESS OF COLDWORK AND HOT WORK TOOL STEELS IN HARD ...
COMPARISON OF SURFACE ROUGHNESS OF COLDWORK AND HOT WORK TOOL STEELS IN HARD ...
 
Optimization of Cylindrical Grinding Process Parameters on C40E Steel Using T...
Optimization of Cylindrical Grinding Process Parameters on C40E Steel Using T...Optimization of Cylindrical Grinding Process Parameters on C40E Steel Using T...
Optimization of Cylindrical Grinding Process Parameters on C40E Steel Using T...
 
A literature review on optimization of cutting parameters for surface roughne...
A literature review on optimization of cutting parameters for surface roughne...A literature review on optimization of cutting parameters for surface roughne...
A literature review on optimization of cutting parameters for surface roughne...
 
Enhancing the Submersible Pump Rotor Performance by Taguchi Optimization Tech...
Enhancing the Submersible Pump Rotor Performance by Taguchi Optimization Tech...Enhancing the Submersible Pump Rotor Performance by Taguchi Optimization Tech...
Enhancing the Submersible Pump Rotor Performance by Taguchi Optimization Tech...
 
Optimization of process parameters of WEDM for machining of monel r-405 mater...
Optimization of process parameters of WEDM for machining of monel r-405 mater...Optimization of process parameters of WEDM for machining of monel r-405 mater...
Optimization of process parameters of WEDM for machining of monel r-405 mater...
 
Process Parametric Optimization of CNC Vertical Milling Machine Using Taguchi...
Process Parametric Optimization of CNC Vertical Milling Machine Using Taguchi...Process Parametric Optimization of CNC Vertical Milling Machine Using Taguchi...
Process Parametric Optimization of CNC Vertical Milling Machine Using Taguchi...
 
Parametric optimisation of cnc turning for al 7020 with rsm
Parametric optimisation of cnc turning for al 7020 with rsmParametric optimisation of cnc turning for al 7020 with rsm
Parametric optimisation of cnc turning for al 7020 with rsm
 
G045063944
G045063944G045063944
G045063944
 
Implementation of Response Surface Methodology for Analysis of Plain Turning ...
Implementation of Response Surface Methodology for Analysis of Plain Turning ...Implementation of Response Surface Methodology for Analysis of Plain Turning ...
Implementation of Response Surface Methodology for Analysis of Plain Turning ...
 
Optimization of Surface Roughness Parameters in Turning EN1A Steel on a CNC L...
Optimization of Surface Roughness Parameters in Turning EN1A Steel on a CNC L...Optimization of Surface Roughness Parameters in Turning EN1A Steel on a CNC L...
Optimization of Surface Roughness Parameters in Turning EN1A Steel on a CNC L...
 
A012520109
A012520109A012520109
A012520109
 
Parametric Analysis and Optimization of Turning Operation by Using Taguchi Ap...
Parametric Analysis and Optimization of Turning Operation by Using Taguchi Ap...Parametric Analysis and Optimization of Turning Operation by Using Taguchi Ap...
Parametric Analysis and Optimization of Turning Operation by Using Taguchi Ap...
 

Recently uploaded

Advanced control scheme of doubly fed induction generator for wind turbine us...
Advanced control scheme of doubly fed induction generator for wind turbine us...Advanced control scheme of doubly fed induction generator for wind turbine us...
Advanced control scheme of doubly fed induction generator for wind turbine us...
IJECEIAES
 
Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...
Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...
Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...
shadow0702a
 
Certificates - Mahmoud Mohamed Moursi Ahmed
Certificates - Mahmoud Mohamed Moursi AhmedCertificates - Mahmoud Mohamed Moursi Ahmed
Certificates - Mahmoud Mohamed Moursi Ahmed
Mahmoud Morsy
 
LLM Fine Tuning with QLoRA Cassandra Lunch 4, presented by Anant
LLM Fine Tuning with QLoRA Cassandra Lunch 4, presented by AnantLLM Fine Tuning with QLoRA Cassandra Lunch 4, presented by Anant
LLM Fine Tuning with QLoRA Cassandra Lunch 4, presented by Anant
Anant Corporation
 
john krisinger-the science and history of the alcoholic beverage.pptx
john krisinger-the science and history of the alcoholic beverage.pptxjohn krisinger-the science and history of the alcoholic beverage.pptx
john krisinger-the science and history of the alcoholic beverage.pptx
Madan Karki
 
CEC 352 - SATELLITE COMMUNICATION UNIT 1
CEC 352 - SATELLITE COMMUNICATION UNIT 1CEC 352 - SATELLITE COMMUNICATION UNIT 1
CEC 352 - SATELLITE COMMUNICATION UNIT 1
PKavitha10
 
132/33KV substation case study Presentation
132/33KV substation case study Presentation132/33KV substation case study Presentation
132/33KV substation case study Presentation
kandramariana6
 
Hematology Analyzer Machine - Complete Blood Count
Hematology Analyzer Machine - Complete Blood CountHematology Analyzer Machine - Complete Blood Count
Hematology Analyzer Machine - Complete Blood Count
shahdabdulbaset
 
Welding Metallurgy Ferrous Materials.pdf
Welding Metallurgy Ferrous Materials.pdfWelding Metallurgy Ferrous Materials.pdf
Welding Metallurgy Ferrous Materials.pdf
AjmalKhan50578
 
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
 
ISPM 15 Heat Treated Wood Stamps and why your shipping must have one
ISPM 15 Heat Treated Wood Stamps and why your shipping must have oneISPM 15 Heat Treated Wood Stamps and why your shipping must have one
ISPM 15 Heat Treated Wood Stamps and why your shipping must have one
Las Vegas Warehouse
 
Software Quality Assurance-se412-v11.ppt
Software Quality Assurance-se412-v11.pptSoftware Quality Assurance-se412-v11.ppt
Software Quality Assurance-se412-v11.ppt
TaghreedAltamimi
 
artificial intelligence and data science contents.pptx
artificial intelligence and data science contents.pptxartificial intelligence and data science contents.pptx
artificial intelligence and data science contents.pptx
GauravCar
 
Unit-III-ELECTROCHEMICAL STORAGE DEVICES.ppt
Unit-III-ELECTROCHEMICAL STORAGE DEVICES.pptUnit-III-ELECTROCHEMICAL STORAGE DEVICES.ppt
Unit-III-ELECTROCHEMICAL STORAGE DEVICES.ppt
KrishnaveniKrishnara1
 
Engineering Drawings Lecture Detail Drawings 2014.pdf
Engineering Drawings Lecture Detail Drawings 2014.pdfEngineering Drawings Lecture Detail Drawings 2014.pdf
Engineering Drawings Lecture Detail Drawings 2014.pdf
abbyasa1014
 
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
 
Comparative analysis between traditional aquaponics and reconstructed aquapon...
Comparative analysis between traditional aquaponics and reconstructed aquapon...Comparative analysis between traditional aquaponics and reconstructed aquapon...
Comparative analysis between traditional aquaponics and reconstructed aquapon...
bijceesjournal
 
22CYT12-Unit-V-E Waste and its Management.ppt
22CYT12-Unit-V-E Waste and its Management.ppt22CYT12-Unit-V-E Waste and its Management.ppt
22CYT12-Unit-V-E Waste and its Management.ppt
KrishnaveniKrishnara1
 
官方认证美国密歇根州立大学毕业证学位证书原版一模一样
官方认证美国密歇根州立大学毕业证学位证书原版一模一样官方认证美国密歇根州立大学毕业证学位证书原版一模一样
官方认证美国密歇根州立大学毕业证学位证书原版一模一样
171ticu
 
Introduction to AI Safety (public presentation).pptx
Introduction to AI Safety (public presentation).pptxIntroduction to AI Safety (public presentation).pptx
Introduction to AI Safety (public presentation).pptx
MiscAnnoy1
 

Recently uploaded (20)

Advanced control scheme of doubly fed induction generator for wind turbine us...
Advanced control scheme of doubly fed induction generator for wind turbine us...Advanced control scheme of doubly fed induction generator for wind turbine us...
Advanced control scheme of doubly fed induction generator for wind turbine us...
 
Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...
Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...
Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...
 
Certificates - Mahmoud Mohamed Moursi Ahmed
Certificates - Mahmoud Mohamed Moursi AhmedCertificates - Mahmoud Mohamed Moursi Ahmed
Certificates - Mahmoud Mohamed Moursi Ahmed
 
LLM Fine Tuning with QLoRA Cassandra Lunch 4, presented by Anant
LLM Fine Tuning with QLoRA Cassandra Lunch 4, presented by AnantLLM Fine Tuning with QLoRA Cassandra Lunch 4, presented by Anant
LLM Fine Tuning with QLoRA Cassandra Lunch 4, presented by Anant
 
john krisinger-the science and history of the alcoholic beverage.pptx
john krisinger-the science and history of the alcoholic beverage.pptxjohn krisinger-the science and history of the alcoholic beverage.pptx
john krisinger-the science and history of the alcoholic beverage.pptx
 
CEC 352 - SATELLITE COMMUNICATION UNIT 1
CEC 352 - SATELLITE COMMUNICATION UNIT 1CEC 352 - SATELLITE COMMUNICATION UNIT 1
CEC 352 - SATELLITE COMMUNICATION UNIT 1
 
132/33KV substation case study Presentation
132/33KV substation case study Presentation132/33KV substation case study Presentation
132/33KV substation case study Presentation
 
Hematology Analyzer Machine - Complete Blood Count
Hematology Analyzer Machine - Complete Blood CountHematology Analyzer Machine - Complete Blood Count
Hematology Analyzer Machine - Complete Blood Count
 
Welding Metallurgy Ferrous Materials.pdf
Welding Metallurgy Ferrous Materials.pdfWelding Metallurgy Ferrous Materials.pdf
Welding Metallurgy Ferrous Materials.pdf
 
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
 
ISPM 15 Heat Treated Wood Stamps and why your shipping must have one
ISPM 15 Heat Treated Wood Stamps and why your shipping must have oneISPM 15 Heat Treated Wood Stamps and why your shipping must have one
ISPM 15 Heat Treated Wood Stamps and why your shipping must have one
 
Software Quality Assurance-se412-v11.ppt
Software Quality Assurance-se412-v11.pptSoftware Quality Assurance-se412-v11.ppt
Software Quality Assurance-se412-v11.ppt
 
artificial intelligence and data science contents.pptx
artificial intelligence and data science contents.pptxartificial intelligence and data science contents.pptx
artificial intelligence and data science contents.pptx
 
Unit-III-ELECTROCHEMICAL STORAGE DEVICES.ppt
Unit-III-ELECTROCHEMICAL STORAGE DEVICES.pptUnit-III-ELECTROCHEMICAL STORAGE DEVICES.ppt
Unit-III-ELECTROCHEMICAL STORAGE DEVICES.ppt
 
Engineering Drawings Lecture Detail Drawings 2014.pdf
Engineering Drawings Lecture Detail Drawings 2014.pdfEngineering Drawings Lecture Detail Drawings 2014.pdf
Engineering Drawings Lecture Detail Drawings 2014.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...
 
Comparative analysis between traditional aquaponics and reconstructed aquapon...
Comparative analysis between traditional aquaponics and reconstructed aquapon...Comparative analysis between traditional aquaponics and reconstructed aquapon...
Comparative analysis between traditional aquaponics and reconstructed aquapon...
 
22CYT12-Unit-V-E Waste and its Management.ppt
22CYT12-Unit-V-E Waste and its Management.ppt22CYT12-Unit-V-E Waste and its Management.ppt
22CYT12-Unit-V-E Waste and its Management.ppt
 
官方认证美国密歇根州立大学毕业证学位证书原版一模一样
官方认证美国密歇根州立大学毕业证学位证书原版一模一样官方认证美国密歇根州立大学毕业证学位证书原版一模一样
官方认证美国密歇根州立大学毕业证学位证书原版一模一样
 
Introduction to AI Safety (public presentation).pptx
Introduction to AI Safety (public presentation).pptxIntroduction to AI Safety (public presentation).pptx
Introduction to AI Safety (public presentation).pptx
 

Parametric study of surface roughness in turning of az31 b mg alloy under different cooling conditions

  • 1. IMRAN SARKER INDUSTRIAL & PRODUCTION ENGINEER AHSANULLAH UNIVERSITY OF SCIENCE & TECHNOLOGY ID: 14-01-07-065 Parametric study of surface roughness in turning of AZ31B Mg alloy under different cooling conditions SUPERVISOR: MOZAMMEL MIA ASSISTANT PROFESSOR, MPE, AUST
  • 2. 2 Contents  Introduction  Literature review  Scope of work  Objective Contents  Methodology  Experimental conditions  Results and discussion Contents  Results and discussion (cont.)  Conclusion
  • 3. Framework  Introduction  Literature review  Scope of work  Objectives  Methodology  Results and discussion  Conclusion 3
  • 4. Introduction  AZ31B Mg alloy is used in aerospace and automobile industry  This is due to its light weight but good specific strength property  However, the processing of Mg alloy is mostly done by using machining  Turning stands out as one of the mostly used machining processes  The quality of produced products by turning can be evaluated by the roughness value  Surface roughness value is determined by different roughness parameters  Considering the above facts, the parametric study of surface roughness in turning of Mg AZ31B alloy is performed 4
  • 5. Literature review Author(s) Year Remarks Pu et al. 2012 • Surface roughness was studied for AZ31B under cryogenic cooling • Improved roughness was found by cryogenic condition Villeta et al. 2011 • Dry turning of Mg alloy was done • Led to high surface roughness value between 0.975 and 1.425 µm Bhowmick et al. 2010 • Dry and MQL were used in drilling of Mg alloy • Dry cutting was found as the most appropriate condition to avoid tool failure 5
  • 6. Literature review Author(s) Year Remarks Dinesh et al. 2010 • Used cryogenic liquid while turning ZK60 Mg alloy • Cryogenic liquid during machining improves the surface characteristics Fang et al. 2005 • The mean temperature on the flank face was presented. • Predicted the occurrence of fire in high speed cutting of magnesium alloys. Tönshoff et al. 1997 • Turning operation of AZ91 HP was done • The influence of the cooling conditions gives different cutting tool and material and coating results 6
  • 7. Scope of work  Based on the knowledge found in the literature reviews, there is scope of conducting experimental study in turning operation of AZ31B Mg alloy regarding- Surface roughness parameters:  Arithmetic mean of roughness parameter (Ra)  Root mean square roughness (Rq)  Average maximum height surface roughness (Rz)  Maximum height of the profile (Rt)  Maximum profile peak height (Rp)  Maximum profile valley depth (Rv) 7
  • 8. Illustration of surface roughness parameters 8 Graphical view of Ra ,Rq, Rt Graphical view of Rp, Rv, Rz
  • 9. Objectives  Study of different surface roughness parameters in turning of AZ31B Mg  Determine the influence of dry, flood and MQL on roughness parameters  Evaluate the influence of cutting speed, feed rate and depth of cut on the surface roughness parameters 9
  • 10. Methodology 10 Start Straight Turning DOE by Taguchi Finding scope and defining objective Literature review Input: Vc, f, d Output: Ra, Rq, Rz, Rp, Rt, Rv Environment: Dry, wet, MQL Measurement of surface roughness parameters: Ra, Rq, Rz, Rp, Rt, Rv Successful parametric study End
  • 11. Experimental conditions Material: AZ31B Mg Alloy Treatment: High pressure die casting by analysis from International Magnesium Association (IMA). Dimension: Length = 500 mm; Diameter = 70 mm. Cutting tool: Coated tungsten carbide (WC). Dimension: Length = 12 mm; Width = 12 mm; Height = 5 mm. Coolant: Conventional flood cooling and MQL. Machine : Lathe [Power: 7.5 HP, Maximum spindle speed: 1600 rpm, Manufacturing country: China]. 11
  • 12. Experimental conditions (contd.) Control factors in cutting parameters  Cutting speed: 45 m/min,105 m/min,165 m/min  Feed rate: 0.10 mm/rev, 0.14 mm/rev, 0.18 mm/rev  Depth of cut: 0.5 mm, 1 mm, 1.5 mm  Cutting conditions: Dry, wet, minimum quantity lubrication 12
  • 13. Photographic views of experimental equipments AZ31B Mg alloy as work material Turning operation *Experimental runs were conducted in Machine shop laboratory of MPE dept, AUST 13 Surface roughness tester Tool holder & insert
  • 14. Results and discussion The adopted analysis process is performed using the followings-  Main effect plots  Contour plots  3D surface plot  Response table 14
  • 15. Arithmetic mean of roughness parameter (Ra)  Ra is most significantly affected by the changes in the feed rate  Feed rate is the most dominant factor among all four factors 15 Table 4.1.1 Response Table for mean of means of average surface roughness (Ra). [Smaller is better] Level Cutting speed Feed rate Depth of cut Cutting condition 1 1.0679 0.6410 1.0605 1.1867 2 1.1194 1.1119 1.1019 1.0799 3 1.1125 1.5469 1.1375 1.0332 Delta 0.0515 0.9059 0.0770 0.1536 Rank 4 1 3 2
  • 16. Arithmetic mean of roughness parameter (Ra) (Cont.)  The depth of cut hardly changes the average surface roughness value; but the feed rate has significant effect  When the feed rate is increasing the value of Ra is increasing in a more drastic manner 16 5.0 0.1 .0 5 1.0 51. 0 521. 0.100 5.1 0 00.15 0 521. 0.175 51. 0.2 aR deeF tuCfohtpeD urfS ce Plot of Ra vs Feed, Cutting Speeda Depth of Cut Feed 1.501.251.000.750.50 0.175 0.150 0.125 0.100 > – – – – – < 0.50 0.50 0.75 0.75 1.00 1.00 1.25 1.25 1.50 1.50 1.75 1.75 Ra Contour Plot of Ra vs Feed, Depth of Cut
  • 17. Root mean square surface roughness parameter(Rq)  The mean of Rq is less significantly affected by the changes in the cutting speed  Cutting condition is the second dominant factor after feed rate Table 4.2.1 Response Table for mean of means of root mean square roughness (Rq) [Smaller is better] Level Cutting speed Feed rate Depth of cut Cutting condition 1 1.2626 0.7876 1.2551 1.4190 2 1.3328 1.3080 1.3110 1.2869 3 1.3264 1.8261 1.3556 1.2159 Delta 0.0702 1.0385 0.1005 0.2031 Rank 4 1 3 2 17
  • 18. Root mean square surface roughness parameter(Rq) (Cont.)  Due to the deviation of feed rate, the value of Rq varies; but depth of cut has slight influence  When the depth of cut is increasing value of Rq does not change like feed rate 18 Depth of Cut Feed 1.501.251.000.750.50 0.175 0.150 0.125 0.100 > – – – – – < 0.6 0.6 0.9 0.9 1.2 1.2 1.5 1.5 1.8 1.8 2.1 2.1 Rq Contour Plot of Rq vs Feed, Depth of Cut 0.5 1.0 .0 5 1 0. .1 5 10. 52 001.0 5.1 0 .10 50 10. 52 .170 5 2.0 qR deeF tuCfohtpeD urface Plot of Rq v Feed, Depth ofS Cuts
  • 19. Ten point mean roughness parameter(Rz)  With the development of the cutting depth, the mean of Rz increases at a continual rate  Cutting speed is the most insignificant among all four factors Table 4.3.1 Response Table for mean of means of average maximum height (Rz). [Smaller is better] Level Cutting speed Feed rate Depth of cut Cutting condition 1 4.412 2.980 4.215 5.019 2 4.536 4.831 4.561 4.402 3 4.655 5.792 4.827 4.182 Delta 0.243 2.812 0.612 0.838 Rank 4 1 3 2 19
  • 20. Ten point mean roughness parameter(Rz) (Cont.)  The depth of cut scarcely influences the average maximum height value; increased feed rate has important influence  The waviness created at some points is due to the interaction between feed and depth of cut 20 Depth of Cut Feed 1.501.251.000.750.50 0.175 0.150 0.125 0.100 – – – – – < 2 2 3 3 4 4 5 5 6 6 7 Rz Contour Plot of Rz vs Feed, Depth of Cut 0.5 1.0 2 4 6 1. 50 2 0.100 5.1 0 . 00 51 1. 50 2 0.175 6 8 zR deeF tuCfohtpeD urface Plot ofS Rz v Feed, Depth of Cuts
  • 21. Maximum height of the profile parameter(Rt)  Cutting condition has shown contradictory but regular changes in manipulating the mean of Rt  Depth of cut is third most significant factor among the four control factors Table 4.4.1 Response Table for mean of means of the maximum height of the surface (Rt) [Smaller is better] Level Cutting speed Feed rate Depth of cut Cutting condition 1 6.035 4.141 5.657 6.758 2 6.173 6.221 6.075 5.869 3 6.014 7.860 6.491 5.596 Delta 0.160 3.719 0.835 1.162 Rank 4 1 3 2 21
  • 22. Maximum height of the profile parameter(Rt) (Cont.)  The average maximum height value does not get much effect by cutting depth, feed rate increases the parameter value  Feed rate has much more significant affect on Rt than depth of cut 22Depth of Cut Feed 1.501.251.000.750.50 0.175 0.150 0.125 0.100 > – – – – – – < 3 3 4 4 5 5 6 6 7 7 8 8 9 9 Rt Contour Plot of Rt vs Feed, Depth of Cut .0 5 .01 4 6 8 . 5210 01.0 0 5.1 0 501.0 . 5210 51.0 7 8 10 tR deeF tuCfohtpeD urface Plot oS Rt vf Feed, Depth of Cuts
  • 23. Maximum profile peak height(Rp)  Increase in cutting speed from the lowest to highest value results in a slight increase in the mean of Rp  Feed rate has the highest value of delta proving feed rate is the leading factor among four other factors Table 4.5.1 Response Table for mean of means of the maximum profile peak height (Rp). [Smaller is better] Level Cutting speed Feed rate Depth of cut Cutting condition 1 2.597 1.641 2.375 3.020 2 2.807 2.861 2.787 2.611 3 2.825 3.727 3.068 2.598 Delta 0.228 2.086 0.693 0.422 Rank 4 1 2 3 23
  • 24. Maximum profile peak height(Rp) (Cont.)  Maximum height value does not quite change with changes referred to depth of cut but feed rate value do  Profile peak value increases when the feed rate is high 24Depth of Cut Feed 1.501.251.000.750.50 0.175 0.150 0.125 0.100 > – – – – < 1 1 2 2 3 3 4 4 5 5 Rp Contour Plot of Rp vs Feed, Depth of Cut 50. 1.0 1.0 52. 4.0 52.10 000 1. 5.1 0 0 051. 52.10 570.1 4.0 5 5. pR deeF tuCfohtpeD urface Plot of Rp v dFeeS , Depth of Cuts
  • 25. Maximum profile valley depth(Rv)  Increase in cutting speed from the lowest to highest value results in a slight increase in the mean of Rv  Cutting speed has the least effect on the average surface roughness value. Table 4.6.1 Response Table for mean of means the maximum profile valley depth (Rv). [Smaller is better] Level Cutting speed Feed rate Depth of cut Cutting condition 1 1.810 1.339 1.896 1.987 2 1.876 1.970 1.824 1.784 3 1.828 2.205 1.795 1.743 Delta 0.067 0.865 0.101 0.244 Rank 4 1 3 2 25
  • 26. Maximum profile valley depth(Rv) (Cont.)  The lower feed rate is associated with lower surface roughness and the upper portion of the plot represents higher values of Rv.  The value of Rv is increasing exceedingly when the feed rate is escalated 26Depth of Cut Feed 1.501.251.000.750.50 0.175 0.150 0.125 0.100 > – – – – < 1.0 1.0 1.5 1.5 2.0 2.0 2.5 2.5 3.0 3.0 Rv Contour Plot of Rv vs Feed, Depth of Cut 50. 1.0 1 2 0.125 0.10 0 5.1 0 051.0 0.125 571.0 3 vR deeF tuCfohtpeD urface Plot of Rv v dFeeS , Depth of Cuts
  • 27. Conclusion  The cutting speed has insignificant impact on the studied surface roughness parameters among all the four control factors.  Feed rate expressed itself as the most dominant control factor to determine a better surface roughness parameter.  Depth of cut has less effect on the surface roughness parameters compared to feed rate.  In cutting condition, MQL emerged as the major cooling condition compared to other two conditions which are dry and flood condition. 27

Editor's Notes

  1. NOTE: To change the image on this slide, select the picture and delete it. Then click the Pictures icon in the placeholder to insert your own image.