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Visual Inspection Technology in the Hard Disc Drive Industry
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Artikel-Nr:
9781848215917
Veröffentl:
2015
Erscheinungsdatum:
11.05.2015
Seiten:
316
Autor:
Paisarn Muneesawang
Gewicht:
645 g
Format:
240x161x22 mm
Sprache:
Englisch
Beschreibung:
Paisarn Muneesawang, PhD, Associate professor in computer engineering, School of Electrical and Electronic Engineering Nanyang Technological University, Singapore.
A presentation of the use of computer vision systems to control manufacturing processes and product quality in the hard disk drive industry. Visual Inspection Technology in the Hard Disk Drive Industry is an
application-oriented book borne out of collaborative research with the world's leading hard disk drive companies. It covers the latest developments and important topics in computer vision technology in hard disk drive manufacturing, as well as offering a glimpse of future technologies.
application-oriented book borne out of collaborative research with the world's leading hard disk drive companies. It covers the latest developments and important topics in computer vision technology in hard disk drive manufacturing, as well as offering a glimpse of future technologies.
A presentation of the use of computer vision systems to control manufacturing processes and product quality in the hard disk drive industry. Visual Inspection Technology in the Hard Disk Drive Industry is an
application-oriented book borne out of collaborative research with the world's leading hard disk drive companies.
application-oriented book borne out of collaborative research with the world's leading hard disk drive companies.
PREFACE xi
CHAPTER 1. FEATURE FUSION METHOD FOR RAPID CORROSION DETECTION ON POLE TIPS 1
Suchart YAMMEN and Paisarn MUNEESAWANG
1.1. Introduction 2
1.2. Algorithm for corrosion detection 6
1.2.1. Extraction of top-shield region 6
1.2.2. Area-based feature 9
1.2.3. Contour-based feature 13
1.3. Experimental result 19
1.3.1. Distribution of corrosion 20
1.3.2. Performance metric 20
1.3.3. Robustness 24
1.4. Conclusion 27
1.5. Bibliography 28
CHAPTER 2. NONLINEAR FILTERING METHOD FOR CORROSION DETECTION ON POLE TIPS 33
Paisarn MUNEESAWANG and Suchart YAMMEN
2.1. Introduction 33
2.2. Perpendicular magnetic recording 35
2.3. Perpendicular magnetic recorder and corrosion 37
2.3.1. Lubricant layer 38
2.3.2. Thermal effect results in corrosion 41
2.3.3. Recording head/slider manufacturing and corrosion 42
2.4. Length estimator for pole tip 44
2.5. Nonlinear filtering as a corrosion detector 48
2.5.1. Median filter techniques 48
2.5.2. Median "¸-Filter 50
2.5.3. Corrosion detection procedure 51
2.6. Application 54
2.7. Conclusion 62
2.8. Bibliography 63
CHAPTER 3. MICRO DEFECT DETECTION ON AIR-BEARING SURFACE 71
Pichate KUNAKORNVONG and Pitikhate SOORAKSA
3.1. Introduction 71
3.2. Air-bearing surface 74
3.3. Imaging system 75
3.4. Contamination detection 79
3.4.1. Texture unit texture spectrum 80
3.4.2. Graylevel co-occurrence matrix 82
3.4.3. Principle component analysis 85
3.4.4. Identification defect 88
3.5. Conclusion 92
3.6. Acknowledgment 93
3.7. Bibliography 93
CHAPTER 4. AUTOMATED OPTICAL INSPECTION FOR SOLDER JET BALL JOINT DEFECTS IN THE HEAD
GIMBAL ASSEMBLY PROCESS 99
Jirarat IEAMSAARD and Thanapoom FUANGPIAN
4.1. Introduction 99
4.2. Head gimbal assembly 101
4.3. Vertical edge method for inspection of pad burning defect 102
4.3.1. Inspection procedure 103
4.3.2. Experimental result 107
4.4. Detection of solder ball bridging on HGA 108
4.4.1. Solder ball bridging defect 108
4.4.2. Chain code descriptor-based method 109
4.4.3. Morphological template-based method 112
4.4.4. Experimental result 114
4.5. Detection of missing solders on HGA 121
4.5.1. Image acquisition and enhancement 121
4.5.2. Clustering of image pixels 122
4.5.3. Decision making 123
4.5.4. Inspection result 124
4.6. Conclusion 126
4.7. Bibliography 127
CHAPTER 5. ANALYSIS METHODS FOR FAULT DEFORMATION OF SOLDER BUMP ON THE ACTUATOR ARM 131
Somporn RUANGSINCHAIWANICH
5.1. Introduction 132
5.2. Surface tension analysis 133
5.2.1. Model analysis 135
5.2.2. Simulation 138
5.3. Analysis of stress performance at different configurations of solder bump positions 140
5.3.1. Analysis model 144
5.3.2. Design and analysis using FEM 145
5.4. Experimental result 149
5.5. Conclusion 151
5.6. Bibliography 152
CHAPTER 6. ARTIFICIAL INTELLIGENCE TECHNIQUES FOR QUALITY CONTROL OF HARD DISK DRIVE COMPONENTS 155
Wimalin LAOSIRITAWORN
6.1. Introduction 155
6.2. Artificial intelligence tasks in quality control 157
6.2.1. Classification and prediction 157
6.2.2. Cluster analysis 159
6.2.3. Time series analysis 160
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CHAPTER 1. FEATURE FUSION METHOD FOR RAPID CORROSION DETECTION ON POLE TIPS 1
Suchart YAMMEN and Paisarn MUNEESAWANG
1.1. Introduction 2
1.2. Algorithm for corrosion detection 6
1.2.1. Extraction of top-shield region 6
1.2.2. Area-based feature 9
1.2.3. Contour-based feature 13
1.3. Experimental result 19
1.3.1. Distribution of corrosion 20
1.3.2. Performance metric 20
1.3.3. Robustness 24
1.4. Conclusion 27
1.5. Bibliography 28
CHAPTER 2. NONLINEAR FILTERING METHOD FOR CORROSION DETECTION ON POLE TIPS 33
Paisarn MUNEESAWANG and Suchart YAMMEN
2.1. Introduction 33
2.2. Perpendicular magnetic recording 35
2.3. Perpendicular magnetic recorder and corrosion 37
2.3.1. Lubricant layer 38
2.3.2. Thermal effect results in corrosion 41
2.3.3. Recording head/slider manufacturing and corrosion 42
2.4. Length estimator for pole tip 44
2.5. Nonlinear filtering as a corrosion detector 48
2.5.1. Median filter techniques 48
2.5.2. Median "¸-Filter 50
2.5.3. Corrosion detection procedure 51
2.6. Application 54
2.7. Conclusion 62
2.8. Bibliography 63
CHAPTER 3. MICRO DEFECT DETECTION ON AIR-BEARING SURFACE 71
Pichate KUNAKORNVONG and Pitikhate SOORAKSA
3.1. Introduction 71
3.2. Air-bearing surface 74
3.3. Imaging system 75
3.4. Contamination detection 79
3.4.1. Texture unit texture spectrum 80
3.4.2. Graylevel co-occurrence matrix 82
3.4.3. Principle component analysis 85
3.4.4. Identification defect 88
3.5. Conclusion 92
3.6. Acknowledgment 93
3.7. Bibliography 93
CHAPTER 4. AUTOMATED OPTICAL INSPECTION FOR SOLDER JET BALL JOINT DEFECTS IN THE HEAD
GIMBAL ASSEMBLY PROCESS 99
Jirarat IEAMSAARD and Thanapoom FUANGPIAN
4.1. Introduction 99
4.2. Head gimbal assembly 101
4.3. Vertical edge method for inspection of pad burning defect 102
4.3.1. Inspection procedure 103
4.3.2. Experimental result 107
4.4. Detection of solder ball bridging on HGA 108
4.4.1. Solder ball bridging defect 108
4.4.2. Chain code descriptor-based method 109
4.4.3. Morphological template-based method 112
4.4.4. Experimental result 114
4.5. Detection of missing solders on HGA 121
4.5.1. Image acquisition and enhancement 121
4.5.2. Clustering of image pixels 122
4.5.3. Decision making 123
4.5.4. Inspection result 124
4.6. Conclusion 126
4.7. Bibliography 127
CHAPTER 5. ANALYSIS METHODS FOR FAULT DEFORMATION OF SOLDER BUMP ON THE ACTUATOR ARM 131
Somporn RUANGSINCHAIWANICH
5.1. Introduction 132
5.2. Surface tension analysis 133
5.2.1. Model analysis 135
5.2.2. Simulation 138
5.3. Analysis of stress performance at different configurations of solder bump positions 140
5.3.1. Analysis model 144
5.3.2. Design and analysis using FEM 145
5.4. Experimental result 149
5.5. Conclusion 151
5.6. Bibliography 152
CHAPTER 6. ARTIFICIAL INTELLIGENCE TECHNIQUES FOR QUALITY CONTROL OF HARD DISK DRIVE COMPONENTS 155
Wimalin LAOSIRITAWORN
6.1. Introduction 155
6.2. Artificial intelligence tasks in quality control 157
6.2.1. Classification and prediction 157
6.2.2. Cluster analysis 159
6.2.3. Time series analysis 160
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