0 : INTRODUCTION 1 0 : LITERATUTURE REVIEW 0 : METHODOLOGY 38 0 : RESULT AND DISCUSION

v | P a g e TABLE OF CONTENT Abstract i Abstrak ii Acknowledgement iii Dedication iv Table of content v List of figure ix List of table xi List Abbreviations, Symbols and Nomenclatures xii

CHAPTER 1.0 : INTRODUCTION 1

1.1 Background

6

1.2 Objective

6

1.3 Scope of Project

7 1.4 Problem Statement 8

1.5 Outline of report

8

CHAPTER 2.0 : LITERATUTURE REVIEW

2.1 Drilling

10 2.2 CNC Machining centre 12 2.3 Cutting tool 15 vi | P a g e 2.3.1 Solid Carbide 16 2.3.2 Special Solid Carbide Tools 17 2.3.3 Carbides uncoated tool 18 2.3.4 Coated carbide coated tool 18 2.3.5 High Speed Steel Drill HSS 19 2.4 Tool holder For Drills 21 2.5 Causes of Drill Failure 22 2.6 Aluminum alloy 23 2.6.1 Machining of aluminum alloys 23 2.6.2 Alloy elements 24 2.6.3 Important when machining aluminum alloys 24 2.6.4 Practical use 24 2.7 Intelligent parameter selection 25 2.7.1 Cutting speed 25 2.7.2 Feed rate 27 2.7.3 Tool Length 28 2.7.4 Hole depth 29 2.7.5 Machines Vibration 30 2.7.6 Hole diameter accuracy 32 2.8 Mathematical model 34 2.8.1 Accelerometer 34 2.8.2 Linear Regression 35 2.8.3 Vibration 36

CHAPTER 3.0 : METHODOLOGY 38

3.1 Introduction 38 3.2 Procedure of Project 41 3.3 Procedures of experiment 41 3.3.1 Objective 41 3.3.2 Determining process variables 42 vii | P a g e 3.3.2.1 Cutting speed 43 3.3.2.2 Feed Rate 44 3.3.2.3 Tool Length 45 3.3.2.4 Work piece and insert 46 3.3.2.5 Vibrations 46 3.3.2.6 Final dimension of sample of work piece 47 3.4 Table matrix design 47 3.5 Data Acquisition 48 3.5.1 Accelerometer 48 3.5.2 CNC machining centre 50 3.5.3 Experimental setup 51 . 3.5.4 Sample measurement 53

CHAPTER 4.0 : RESULT AND DISCUSION

4.1 Result 54 4.1.1 Sampling Data Structure 55 4.1.2 Drilling Operation 56 4.1.3 Experimental Results 59 4.2 Discussion 61 4.2.1 Hole diameter Accuracy measurement 61 4.2.2 Vibrations collections 62 4.2.3 Main effect plot 64 4.2.4 Multiple regression modeling 65 4.2.5 Regression Analysis for x-axis 66 4.2.6 Best subsets for constructing best model for x-axis 67 4.2.7 Constructing Best Model for X-axis 68 4.2.8 Multiple regression modeling for y-axis 69 viii | P a g e 4.2.9 Regression analysis for y-axis 70 4.2.10 Best subsets for constructing best model for x-axis 71 4.2.11 Constructing Best Model for Y-axis 72 4.2.12 Residual plots For x-axis 73 4.2.13 Normal Probability Plot for Hole Diameter 74 4.2.14 Histogram 74 4.2.15 Residual plot versus order 75 4.2.16 Normal Probability Plot for Hole Diameter 76 4.2.17 Residual plots versus fitted values 76 4.2.18 Histogram 76 4.2.19 Residual plot versus order 77 4.3 Model Validation 77 4.3.1 Unpaired Test for x-axis 77 4.3.2 Null Hypothesis x-axis 79 4.3.3 Unpaired Test for y-axis 80 4.3.4 Null hypothesis y-axis 82

CHAPTER 5.0 : CONCLUSION AND RECOMENDATION