PERFORMANCE OF UNCOATED CUTTING TOOLS WHEN MACHINING MILD STEEL AND ALUMINIUM ALLOY MOHD FAHMI BIN MD YUSUF Thesis submitted in fulfilment of the requirements for the award of the degree of Bachelor of Mechanical Engineering Faculty of Mechanical Engineering UNIVERSITI MALAYSIA PAHANG DECEMBER 2010
24
Embed
PERFORMANCE OF UNCOATED CUTTING TOOLS WHEN …umpir.ump.edu.my/id/eprint/1836/1/Mohd_Fahmi_Md_Yusuf_(_CD_4948_).pdf · mild steel and 79.55% accuracy for aluminium alloy which reliable
This document is posted to help you gain knowledge. Please leave a comment to let me know what you think about it! Share it to your friends and learn new things together.
Transcript
PERFORMANCE OF UNCOATED CUTTING TOOLS WHEN MACHINING MILD
STEEL AND ALUMINIUM ALLOY
MOHD FAHMI BIN MD YUSUF
Thesis submitted in fulfilment of the requirements
for the award of the degree of
Bachelor of Mechanical Engineering
Faculty of Mechanical Engineering
UNIVERSITI MALAYSIA PAHANG
DECEMBER 2010
ii
SUPERVISOR’S DECLARATION
I hereby declare that I have checked this project and in my opinion, this project is
adequate in terms of scope and quality for the award of the degree of Bachelor of
Mechanical Engineering.
Signature ....................................
Name of Supervisor: DR KUMARAN KADIRGAMA
Position: LECTURER OF MECHANICAL ENGINEERING
Date:
iii
STUDENT’S DECLARATION
I hereby declare that the work in this project is my own except for quotations and
summaries which have been duly acknowledged. The project has not been accepted for
any degree and is not concurrently submitted for award of other degree.
Signature ..................................
Name: MOHD FAHMI BIN MD YUSUF
ID Number: MA 07079
Date:
v
ACKNOWLEDGEMENTS
I am grateful and would like to express my sincere gratitude to my supervisor Dr
Kumaran Kadirgama and Mr Mohamad b Mat Noor for his germinal ideas, invaluable
guidance, continuous encouragement and constant support in making this research
possible. He has always impressed me with his outstanding professional conduct, his
strong conviction for science, and his belief that a Degree program is only a start of a
life-long learning experience. I appreciate his consistent support from the first day I
applied to graduate program to these concluding moments. I also sincerely thanks for
the time spent proofreading and correcting my many mistakes.
My sincere thanks go to all my mates and members of the staff of the
Mechanical Engineering Department, UMP, who helped me in many ways and made
my stay at UMP pleasant and unforgettable. Many special thanks go to instructor
engineer and assistance instructor for their excellent co-operation, inspirations and
supports during this study.
I acknowledge my sincere indebtedness and gratitude to my parents for their
love, dream and sacrifice throughout my life. I cannot find the appropriate words that
could properly describe my appreciation for their devotion, support and faith in my
ability to attain my goals. Special thanks should be given to my committee members. I
would like to acknowledge their comments and suggestions, which was crucial for the
successful completion of this study.
vi
ABSTRACT
This paper discuss of the performance of uncoated carbide cutting tools in milling by
investigating through the surface roughness. Response Surface Methodology (RSM) is
implemented to model the face milling process that are using four insert of uncoated
carbide TiC as the cutting tool and mild steel AISI1020 and aluminium alloy AA6061
as materials due to predict the resulting of surface roughness. Data is collected from
HAAS CNC milling machines were run by 15 samples of experiments for each material
using DOE approach that generate by Box-Behnkin method due to table design in
MINITAB packages. The inputs of the model consist of feed, cutting speed and depth of
cut while the output from the model is surface roughness. Predictive value of surface
roughness was analyzed by the method of RSM. The model is validated through a
comparison of the experimental values with their predicted counterparts. A good
agreement is found where from the RSM approaches show the 76.51% accuracy for
mild steel and 79.55% accuracy for aluminium alloy which reliable to be use in Ra
prediction and state the feed parameter is the most significant parameter followed by
depth of cut and cutting speed influence the surface roughness. The proved technique
opens the door for a new, simple and efficient approach that could be applied to the
calibration of other empirical models of machining
vii
ABSTRAK
Kertas kajian ini membincangkan tentang prestasi alat pemotong karbida tidak bersalut
dengan menyiasat melalui kekasaran permukaan dalam proses pengilingan. Pendekatan
RSM digunakan dalam menganalisis nilai kekasaran permukaan mild steel AISI1020
dan aluminium aloi AA6061 iaitu bahan eksperimen yang di potong oleh empat sisipan
karbida yang tidak bersalut titanium karbida (TiC). Data dikumpul dari 15 sample
eksperimen untuk setiap bahan yang direka dari kaedah Box-Behnkin di dalam
perisian MINITAB mengunakan pendekatan DOE dan mesin pengiling HAAS CNC.
Data masuk adalah kelajuan memotong,kedalaman memotong dan kadar pergerakan
pemotong dan data yang dinilai adalah kekasaran permukaannya. Nilai ramalan
kekasaran permukaan dianalisis oleh kaedah RSM. Kemudian nilai analisis terbabit
akan dibandingkan dengan nilai eksperimen. Pendekatan RSM menunjukan ketepatan
ramalan sebanyak 76.51% untuk mild steel dan 79.55% untuk aluminium aloi yang
boleh diguna pakai dalam ramalan kekasaran permukaan dan kadar pergerakan
pemotong memainkan peranan yang penting dalam mempengaruhi nilai kekasaran
permukaan di ikuti oleh kedalaman dan kelajuan pemotongan.Teknik dan pendekatan
ini terbukti membuka pintu untuk pendekatan baru, mudah dan efisien yang boleh
diterapkan dalam mendapatkan nilai kekasaran permukaan yang diperlukan.
viii
TABLE OF CONTENTS
Page
SUPERVISOR’S DECLARATION ii
STUDENT’S DECLARATION iii
DEDICATIONS iv
ACKNOWLEDGEMENTS v
ABSTRACT vi
ABSTRAK vii
TABLE OF CONTENTS viii
LIST OF TABLES x
LIST OF FIGURES xi
CHAPTER 1 INTRODUCTION
1.1 Project Background 1
1.2 Problem statements 2
1.3 Objectives 3
1.4 Project scopes 3
CHAPTER 2 LITERATURE REVIEW
2.1 Milling Machine 4
2.1.1 Type Of Milling Machine 5
2.1.2 Different Operation Of Milling Machine 6
2.2 Aluminium Alloy 7
2.3 Mild Steel 7
2.4 Uncoated Carbide Cutting Tools 8
2.4.1 Tungsten Carbide 8
2.4.2 Titanium Carbide 9
2.5 Surface Roughness 9
2.5.1 Measuring Surface Roughness 10
CHAPTER 3 METHODOLOGY
3.1 Introduction 12
3.2 Experiment Setup 14
3.2.1 Type Of Material 14
ix
3.2.2 Size Of Workpiece 15
3.2.3 Type Of Cutting Tool 15
3.3 Design Of Experiment (DOE) 16
3.3.1 RSM Method 16
3.3.2 Full Experiment Design 17
CHAPTER 4 RESULT AND DISCUSSION
4.1 Introduction 19
4.2 Preliminary Finding Of Research 19
4.3 Result Of Surface Roughness 20
4.4 Analysis In Identifying Significant Factor 21
4.5 Comparison Of Surface Roughness Of Mild Steel And
Aluminium Alloy
25
4.6 Surface Plot And Contour Plot For Mild Steel 28
4.6.1 High Hold Value Of Each Parameter 28
4.6.2 Middle Hold Value Of Each Parameter 31
4.6.3 Low Hold Value Of Each Parameter 34
4.7 Surface Plot And Contour Plot For Aluminium Alloy 37
4.7.1 High Hold Value Of Each Parameter 37
4.7.2 Middle Hold Value Of Each Parameter 40
4.7.3 Low Hold Value Of Each Parameter 43
CHAPTER 5 CONCLUSION AND RECOMMENDATION
5.1 Introduction 46
5.2 Summary 46
5.3 Conclusion 47
5.4 Recommendations 47
REFERENCES 49
x
LIST OF TABLE
Table No. Title
Page
3.1 Properties of Aluminium Alloy and Mild Steel 14
3.2 TiC cutting tool properties 15
3.3 Factor and level used in the experiment 17
3.4 Experiment design for Mild Steel 17
3.5 Experiment design for Aluminium Alloy 18
4.1 Result of Surface Roughness for Mild Steel 20
4.2 Result of Surface Roughness for Aluminium Alloy 21
4.3 Estimated Regression Coefecient for Ra of Mild Steel 22
4.4 Analysis of Variance (ANOVA) of roughness average (Ra)
for Mild Steel
22
4.5 Estimated Regression Coeffecient for Ra of Aluminium Alloy 23
4.6 Analysis of Variance (ANOVA) of Roughness average (Ra)
for Aluminium Alloy
24
xi
LIST OF FIGURE
Figure No. Title
Page
2.1 Vertical milling machine
5
2.2 Horizontal milling machine
5
2.3 Different operation of miling machine
6
3.1 Procedure flow diagram
13
3.2 Design of workpiece
15
4.1 Normal probability plot for Mild Steel
22
4.2 Normal probability plot for Aluminium Alloy
23
4.3 Comparison on experiment data of Ra between mild steel and
aluminium alloy
25
4.4 Surface plot of Depth of cut vs Cutting speed
28
4.5 Contour plot of Depth of cut vs Cutting speed
28
4.6
Surface plot of Feed vs Cutting speed 29
4.7
Contour plot of Feed vs Cutting speed 29
4.8 Surface plot of Feed vs Depth of cut 30
4.9 Contour plot of Feed vs Depth of cut 30
4.10 Surface plot of Depth of cut vs Cutting speed 31
4.11 Contour plot of Depth of cut vs Cutting speed 31
4.12 Surface plot of Feed vs Cutting speed 32
4.13 Contour plot of Feed vs Cutting speed 32
4.14 Surface plot of Feed vs Depth of cut 33
4.15 Contour plot of Feed vs Depth of cut 33
4.16 Surface plot of Depth of cut vs Cutting speed 34
4.17 Contour plot of Depth of cut vs Cutting speed 34
xii
4.18 Surface plot of Feed vs Cutting speed 35
4.19 Contour plot of Feed vs Cutting speed 35
4.20 Surface plot of Feed vs Depth of cut 36
4.21 Contour plot of Feed vs Depth of cut 36
4.22 Surface plot of Depth of cut vs Cutting speed 37
4.23 Contour plot of Depth of cut vs Cutting speed 37
4.24 Surface plot of Feed vs Cutting speed 38
4.25 Contour plot of Feed vs Cutting speed 38
4.26 Surface plot of Feed vs Depth of cut 39
4.27 Contour plot of Feed vs Depth of cut 39
4.28 Surface plot of Depth of cut vs Cutting speed 40
4.29 Contour plot of Depth of cut vs Cutting speed 40
4.30 Surface plot of Feed vs Cutting speed 41
4.31 Contour plot of Feed vs Cutting speed 41
4.32 Surface plot of Feed vs Depth of cut 42
4.33 Contour plot of Feed vs Depth of cut 42
4.34 Surface plot of Depth of cut vs Cutting speed 43
4.35 Contour plot of Depth of cut vs Cutting speed 43
4.36 Surface plot of Feed vs Cutting speed 44
4.37 Contour plot of Feed vs Cutting speed 44
4.38 Surface plot of Feed vs Depth of cut 45
4.39 Contour plot of Feed vs Depth of cut 45
CHAPTER 1
INTRODUCTION
1.1 PROJECT BACKGROUND
As an engineer, production of new products is a duty to ensure that an industry
increases developed to compete with other industries. Indirectly, the use of cutting tools
become an important elements in the engineering world. Nowadays, various types of
cutting tools have been produced to ensure progress in several important aspects of each
cutting tool such as tool life and surface roughness. Each cutting tool in the world has
certain features. The use is also based on those features. However, each cutting tool has
advantages and limits use of its own.
Uncoated carbides cutting tools are widely used in the metal-working industry
and provide the best alternative for most milling operations. Carbide is also known as
cemented or sintered carbides were introduce in 1930. because of their high thermal
conductivity, and low thermal expansion, carbide are among the most important,
versatile, and cost-effective tool and die materials for a wide range of applications. The
two major groups of carbides used for machining are tungsten carbide and titanium
carbide. This cutting tool cannot be used at low speed because of cold welding of chips
and microchipping.
When machining using carbides under typical cutting conditions, the gradual
wear of the flank and rake faces is the main process by which a cutting tool fails.
Venkatesh carried out tool wear investigations on some cutting tool materials. He
plotted tool life curves using the flank wear criterion and obtained that the tool life of
carbides decreased quickly at higher speed.
2
Some authors affirm that the flank wear in carbide tools initially occurs due to
abrasion and as the wear process progresses, the temperature increases causing diffusion
to take place. Actually, the fact that abrasive wear may occur in metal cutting is not
surprising since there are many hard abrasive particles present in metals, especially in
steel.
1.2 PROBLEM STATEMENTS
Performance of cutting tools is very important in metal-working industries to
reduce time and cost while increasing the production. The use of coolant to increase tool
life is an issue with many differing views. In contrast, others have found that coolant
promotes tool wear in machining. The inherent brittleness of carbides renders them
susceptible to severe damage by cracking if sudden loads of thermal gradients are
applied to their edge. König and Klinger also claimed that better performance of
carbides was obtained under dry cutting. But the tools also can damage under dry
cutting. The other factor that relate to the performance of the tool tip is the cutting force
and feed rate. Carbide cutting tools was design for the high speed machining, but if the
cutting speed is too high, it will increase the temperature of cutting tool and may cause
the hardness of the tool decrease. Aluminium alloy and mild steel are two different
materials that are widely used in engineering due to their machining performance and
acceptable in many applications. Other than that, this material has excellent properties
and low price that make them the first choice in selecting materials. However, both of
the materials have a different hardness and characteristic which will give different
impact to the cutting tools and surface of the materials. So, this experiment is about to
find the proper material to be cut by this cutting tools.
3
1.3 OBJECTIVES OF THE PROJECT
(i) To investigate the finest surface produce from face milling machining of
uncoated carbide cutting tools to the mild steel and aluminium alloy.
(ii) To determine the performance of the uncoated carbide cutting tools in face
milling process for machining aluminium alloy and mild steel.
1.4 PROJECT SCOPES
Scope of the project are:
(i) The cutting operation of aluminium alloy and mild steel is using CNC
milling machine under dry cutting. The process is face milling.
(ii) Response Surface Method will be use to construct the experiment and
analize the data from experiment.
(iii) Taking the data on surface roughness using MPI Mahr perthometer.
(iv) Determine optimum performance of uncoated carbide cutting tools in milling
operation for aluminium alloy and mild steel by vary machining parameter
which is cutting speed, feed and depth of cut.
CHAPTER 2
LITERATURE REVIEW
2.1 MILLING MACHINE
Milling is the process of cutting away material by feeding a workpiece past a
rotating multiple tooth cutter. The cutting action of the many teeth around the milling
cutter provides a fast method of machining. The machined surface may be flat,angular,
or curved. The surface may also be milled to any combination of shapes. The machine
for holding the workpiece, rotating the cutter, and feeding it is known as the Milling
machine. Milling machine may be operated manually or under computer numerical
control (CNC). Milling is the most important and widely useful operation process for
material removal compared to turning, grinding and drilling. Within these metal cutting
processes, the end-milling process is one of the most fundamental metal removal
operations used in the manufacturing industry (Lou & Chen, 1999). Milling can be
defined as machining process in which metal is removed by a rotating multiple-tooth
cutter with each tooth removes small amount of metal in each revolution of the spindle.
Because both workpiece and cutter can be moved in more than one direction at the same
time, surfaces having almost any orientation can be machined. The study conducted by
M. Rahman et al. (1999) reveals that for a given machine tool and the workpiece setup,
the cutting parameters such as speed, feed, depth of cut and tool nose radius have a