Progress in Engineering Technology (eBook)
IX, 270 Seiten
Springer International Publishing (Verlag)
978-3-030-28505-0 (ISBN)
This book presents recent developments in the areas of engineering and technology, focusing on experimental, numerical, and theoretical approaches. In the first part, the emphasis is on the emerging area of electromobility and its sub-disciplines, e.g. battery development, improved efficiency due to new designs and materials, and intelligent control approaches. In turn, the book's second part addresses the broader topic of energy conversion and generation based on classical (petrol engines) and more modern approaches (e.g. turbines). The third and last part addresses quality control and boosting engineering efficiency in a broader sense. Topics covered include e.g. modern contactless screening methods and related image processing.
Andreas Öchsner is a Full Professor of Lightweight Design and Structural Simulation at Esslingen University of Applied Sciences, Germany. After receiving his Dipl.-Ing. degree in Aeronautical Engineering from the University of Stuttgart (1997), Germany, he served as a research and teaching assistant at the University of Erlangen-Nuremberg from 1997 to 2003 while working to complete his Doctor of Engineering Sciences degree. From 2003 to 2006, he was an Assistant Professor at the Department of Mechanical Engineering and Head of the Cellular Metals Group affiliated with the University of Aveiro, Portugal. He spent seven years (2007-2013) as a Full Professor at the Department of Applied Mechanics, Technical University of Malaysia, where he was also Head of the Advanced Materials and Structure Lab. From 2014 to 2017, he was a Full Professor at the School of Engineering, Griffith University, Australia, and Leader of the Mechanical Engineering Program (Head of Discipline and Program Director).
Muhamad Husaini Abu Bakar is Director of System Engineering and the Energy Laboratory and Head of the Research and Innovation Section at the Universiti Kuala Lumpur - Malaysian Spanish Institute, Malaysia. After receiving his Bachelor's degree in Manufacturing Engineering with Management from the Universiti Sains Malaysia (2007), Malaysia, he worked with the university's Underwater Robotic Research from 2007 to 2012, and was awarded a Master of Science in Advanced Manufacturing in 2011. Since 2012 he has been a lecturer at the Universiti Kuala Lumpur - Malaysian Spanish Institute, and completed his Doctor of Philosophy in Advanced Manufacturing from Universiti Sains Malaysia in 2017. His research interests are related to smart manufacturing, energy, and atomistic modeling. He has published over 50 scientific publications on Deep Learning, computational atomistic and metal-air batteries. His inventions and contributions to smart materials and smart monitoring systems have been recognized with innovation awards from PECIPTA, IIDEX, ICOMPEX, I-ENVEX and MARA.
Mohamad Sabri Mohamad Sidik completed his Bachelor's degree in Mechanical Engineering at Universiti Sains Malaysia, Pulau Pinang, in 2005. In the same year, he began working as a mechanical design engineer and handled several projects at a local company until 2009. He subsequently worked as an assistant lecturer at the Universiti Kuala Lumpur Malaysian Spanish Institute, Kedah, Malaysia and was appointed as a Program Coordinator of Diploma of Engineering Technology in Mechanical Design and Development. He received his Master's degree in Manufacturing System Engineering from the Universiti Putra Malaysia, Selangor, Malaysia in 2012. His research interests in mechanical engineering are in the areas of natural fiber composites, finite element methods for mechanical structures, electric and underwater vehicle design, and metal-air batteries. Currently, he is a doctoral student at the Universiti Kuala Lumpur and is exploring the capabilities of metal clusters, especially in the context of alternative energies.Preface 6
Contents 7
1 Study the Effect of Acetone as an Inhibitor for the Performance of Aluminium-Air Batteries 10
Abstract 10
1 Introduction 11
2 Experimental 12
2.1 Computational Study 12
2.2 Materials 12
2.3 Weight Loss 13
2.4 Battery Test 14
3 Results and Discussion 15
3.1 Optimised Geometry 15
3.2 HOMO-LUMO Energy 15
3.3 Inhibition Efficiency 17
3.4 Voltage Discharge Rate 19
3.5 Capacity Discharge Rate 21
4 Conclusions 22
Acknowledgements 22
References 22
2 Performance Characteristics of Palm Oil Diesel Blends in a Diesel Engine 25
Abstract 25
1 Introduction 25
2 Literature Review 27
3 Experimental Set-up and Procedures 28
3.1 The Engine 28
3.2 Palm Oil Diesel Blends 28
3.3 Experimental Flow 30
4 Results and Discussion 30
4.1 Performance of the Engine on Diesel Fuel and Palm Oil Blends 30
5 Conclusion 35
Acknowledgements 36
References 36
3 Optimization of Palm Oil Diesel Blends Engine Performance Based on Injection Pressures and Timing 38
Abstract 38
1 Introduction 39
2 Literature Review 39
3 Experimental Set-up and Procedures 40
3.1 The Engine 40
3.2 Palm Oil Diesel Blends 40
3.3 Performance Measurements 42
3.4 Optimization 43
4 Results and Discussion 43
4.1 Engine Performance at the Original Setting 43
4.2 Optimization of Palm Oil Diesel Blends Using DOE 45
5 Conclusion 47
Acknowledgements 47
References 48
4 The Potential of Improving the Mg-Alloy Surface Quality Using Powder Mixed EDM 49
Abstract 49
1 Introduction 50
2 Working Principle of PMEDM 50
3 Research Articles on PMEDM 53
4 Improving Mg-Alloy Surface Quality Using PMEDM 55
5 Conclusion 56
References 57
5 Validation of Driver’s Cognitive Load on Driving Performance Using Spectral Estimation Based on EEG Frequency Spectrum 60
Abstract 60
1 Introduction 60
2 Literature Review 61
3 Methodology 62
3.1 Experimental Setup for Data Recording 62
3.2 Driving Tasks 63
3.3 Data Validation 63
3.4 Pre-processing 64
3.5 Feature Extraction 65
3.6 Feature Classifiers 65
4 Results and Conclusion 67
Acknowledgements 69
References 69
6 Analytical Study of a Cylindrical Linear Electromagnetic Pulsing Motor for Electric Vehicles 71
Abstract 71
1 Introduction 72
2 Cylinder Linear EMPM Structure 73
3 Magnetic Circuit Model Analysis 73
3.1 Predicted Magnetic Equivalent Circuit 73
3.2 Predicted Magnetic Analysis 76
4 Experimental Setup 77
5 Results and Discussion 79
5.1 Plunger Force 79
5.2 Thrust 79
5.3 Plunger Distance 80
5.4 Speed 82
5.5 Power Motor 84
5.6 Comparison Between Experimental Result and FEM Data 85
6 Conclusions 85
Acknowledgements 86
References 86
7 Investigation on Effective Pre-determined Time Study Analysis in Determining the Production Capacity 87
Abstract 87
1 Introduction 88
2 The Background of Pre-determined Time Study 89
3 The Research Framework 89
4 Data Collection, Analysis and Discussions 90
4.1 Case Study Selection: Process Familiarization 90
4.2 Analysis of the Production Cycle Time: Basic MOST® Versus Stop Watch 91
4.2.1 Case Study 1: The Vendor of Automotive Industry 92
4.2.2 Case Study 2: The Refurbishment of Petroleum Gas and Refurbishment Services 93
4.3 Results Analysis: Comparison Between Basic MOST® Versus Stop Watch 93
5 Conclusions 94
Acknowledgements 94
References 94
8 Vibration Measurement on the Electric Grass Trimmer Handle 96
Abstract 96
1 Introduction 97
2 Methodology 98
2.1 Vibration Measurement 98
2.2 Experimental Modal Analysis 98
2.3 New Handle Design 100
2.4 Active Vibration Control 100
3 Results and Discussion 102
3.1 Natural Frequencies 103
3.2 Reduction of Vibration Level 103
4 Conclusions 104
Acknowledgements 104
References 104
9 Low Harmonics Plug-in Home Charging Electric Vehicle Battery Charger Utilizing Multi-level Rectifier, Zero Crossing and Buck Chopper 105
Abstract 105
1 Introduction 106
2 Methodology 106
2.1 Proposed Battery Charger with Multi Level Rectifier 106
2.2 Proposed Multi Level Rectifier and Buck Converter for Battery Charging 107
2.2.1 Zero Crossing 107
2.2.2 The Bridge Rectifier Circuit 110
2.2.3 The Multi-level Inverter 112
2.2.4 The Buck Chopper 114
3 Results and Discussion 115
4 Conclusions 118
References 119
10 A New Four Quadrants Drive Chopper for Separately Excited DC Motor in Low Cost Electric Vehicle 121
Abstract 121
1 Introduction 122
2 Methodology 124
2.1 Four Quadrants Drive DC Chopper Operation Modes 124
2.2 Driving Mode 125
2.3 Field Weakening Mode 126
2.4 Generator Mode 127
2.5 Regenerative Braking Mode 127
2.6 Resistive Braking 128
2.7 Experimental Setup 130
2.8 Results and Discussion 130
3 Conclusions 139
References 139
11 Genetics Algorithm for Setting Up Look Up Table in Parallel Mode of Series Motor Four Quadrants Drive DC Chopper 141
Abstract 141
1 Introduction 142
2 Methodology 142
2.1 A Proposed Design of Four-Quadrants Drive DC Chopper 142
2.2 The Proposed Four-Quadrant DC Chopper Design 143
2.3 DC Series Motor and Control Strategy During Parallel Mode 144
2.4 The Control Strategy in Parallel Mode 144
2.5 Genetic Algorithm 147
3 Simulation Model and Results 149
4 Conclusions 155
References 155
12 Series Motor Four Quadrants Drive DC Chopper 157
Abstract 157
1 Introduction 158
2 Four Quadrants Drive DC Chopper Operation Modes 158
2.1 Methods of Excitation for Generator Mode 160
2.2 Experimental Setup 164
3 Results and Discussion 166
4 Conclusions 168
References 168
13 Relationship Between Electrical Conductivity and Total Dissolved Solids as Water Quality Parameter in Teluk Lipat by Using Regression Analysis 170
Abstract 170
1 Introduction 171
2 Study Area 171
3 Methodology 171
4 Result and Discussion 173
5 Conclusion 173
References 174
14 A Study of the Region Covariance Descriptor: Impact of Feature Selection and Precise Localization of Target 175
Abstract 175
1 Introduction 176
2 Related Work 176
3 Our Approach 177
3.1 Region Covariance Descriptor 177
4 Experiments and Comparison 180
4.1 Evaluation Methodology 180
4.2 Feature Selection 180
4.3 Quantitative Analysis 181
5 Conclusions 182
References 182
15 Analysis of a Micro Francis Turbine Blade 183
Abstract 183
1 Introduction 184
2 Literature Review 184
3 Methodology 186
3.1 3D Modelling of the Proposed Design 186
3.2 ANSYS Simulation 186
3.3 Paired Comparison Design 188
4 Results and Discussion 188
4.1 Analysis Graph Result 188
4.2 Paired Comparison Design 191
5 Conclusions 192
Acknowledgements 192
References 192
16 Deep Contractive Autoencoder-Based Anomaly Detection for In-Vehicle Controller Area Network (CAN) 194
Abstract 194
1 Introduction 195
2 Methodology 196
2.1 The DCAEs Design 196
2.2 Experimental Setup 197
3 Results and Discussion 200
4 Conclusions 203
Acknowledgments 203
References 203
17 Design and Temperature Analysis of an Aluminum-Air Battery Casing for Electric Vehicles 205
Abstract 205
1 Introduction 206
2 Methodology 207
2.1 Design and Fabrication Process of the Aluminum-Air Battery Casing 207
2.2 Experimental Setup 207
2.3 Single Cell and 4 Cell Battery Performance Analysis 208
2.4 Temperature Distribution Analysis 209
3 Discussion 209
3.1 Single Cell Battery Performance 209
3.2 Battery Performance 210
3.3 Thermography Test 211
4 Conclusion 212
Acknowledgments 214
References 214
18 Corrosion Analysis of Aluminum-Air Battery Electrode Using Smoothed Particle Hydrodynamics 215
Abstract 215
1 Introduction 215
2 Methodology 216
3 Results and Discussion 217
3.1 Weight Loss Method 217
3.2 Simulation of Anode Corrosion 218
3.3 Velocity of Particles 219
3.4 Battery Performance 220
4 Conclusions 221
Acknowledgements 221
References 221
19 Development of an Aluminum-Air Battery Using T6-6061 Anode as Electric Vehicle Power Source 223
Abstract 223
1 Introduction 224
2 Methodology 225
2.1 Hydrogen Gas Release Experiment 225
2.2 Rate of Corrosion Experiment 226
3 Results and Discussion 227
3.1 Rate of Hydrogen Gas Release 227
3.2 Rate of Corrosion 228
3.3 Overall 228
4 Conclusions 229
Acknowledgements 229
References 229
20 Synthesis and Thermal Characterization of Graphite Polymer Composites for Aluminium Ion Batteries 231
Abstract 231
1 Introduction 232
2 Methodology 232
3 Results and Discussion 234
3.1 Density and Porosity 234
3.2 Thermal Conductivity 235
4 Conclusions 235
Acknowledgements 235
References 235
21 Design and Analysis of an Aluminium Ion Battery for Electric Vehicles 237
Abstract 237
1 Introduction 238
2 Methodology 238
3 Results and Discussion 240
3.1 Design of the Battery 240
3.2 Battery Discharging Curves 240
3.3 Thermal Distribution Analysis 240
4 Conclusions 243
Acknowledgements 243
References 243
22 Automotive Metallic Component Inspection System Using Square Pulse Thermography 245
Abstract 245
1 Introduction 246
2 Literature Review 247
2.1 Non-destructive Test 247
2.2 Thermography 247
2.3 Active Thermography and Passive Thermography 248
2.4 Image Processing 248
3 Methodology 249
3.1 Square Pulse Thermography Experiment 249
3.2 Image Processing 250
3.3 Diameter Estimation Method 252
4 Result and Discussion 252
4.1 Experiment Setup 252
4.2 Image Processing 254
4.3 Results 255
5 Conclusion 255
Acknowledgements 256
References 256
23 Deep Neural Network Modeling for Metallic Component Defects Using the Finite Element Model 257
Abstract 257
1 Introduction 258
2 Methodology 260
2.1 Project Process 260
2.2 Finite Element Analysis 260
2.3 Deep Neural Network Modelling 263
3 Result and Discussion 263
3.1 Performance Analysis of Proposed Convolution Neural Network Model 263
4 Conclusion 267
Acknowledgements 268
References 268
| Erscheint lt. Verlag | 10.9.2019 |
|---|---|
| Reihe/Serie | Advanced Structured Materials |
| Zusatzinfo | IX, 270 p. |
| Sprache | englisch |
| Themenwelt | Technik ► Maschinenbau |
| Schlagworte | automotive engineering • batteries • Electrical Vehicles • Engines • Image Processing • Optical Inspection • Production Efficiency • Quality assurance • Turbines • Vehicle Control • Vibration Control • water quality |
| ISBN-10 | 3-030-28505-7 / 3030285057 |
| ISBN-13 | 978-3-030-28505-0 / 9783030285050 |
| Haben Sie eine Frage zum Produkt? |
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