Uncertainty and Artificial Intelligence
Additive Manufacturing, Vibratory Control, Agro-composite, Mechatronics
1. Edition December 2023
208 Pages, Hardcover
Wiley & Sons Ltd
Today's information technology, along with Artificial Intelligence (AI), is moving towards total communication between all computerized systems. AI is a representation of human intelligence based on the creation and application of algorithms in specific computer environments. Its aim is to enable computers to act like human beings. For it to work, this type of technology requires computer systems, data with management systems and advanced algorithms, used by AI.
In mechanical engineering, AI can offer many possibilities: in mechanical construction, predictive maintenance, plant monitoring, robotics, additive manufacturing, materials, vibration control and agro composites, among many others.
This book is dedicated to Artificial Intelligence uncertainties in mechanical problems. Each chapter clearly sets out used and developed illustrative examples. Aimed at students, Uncertainty and Artificial Intelligence is also a valuable resource for practicing engineers and research lecturers.
Abdelkhalak EL HAMI
Chapter 1 New Intelligence Method for Machine Tool Energy Consumption Estimation 1
Dorra BEN HASSEN, Anoire BEN JDIDIA, Mohamed TAOUFIK KHBOU, Mohamed Slim ABBES and Mohamed HADDAR
1.1 Introduction 1
1.2 Mathematical model for estimating power consumption by the spindle and table of a mill 3
1.3 ICA method 6
1.4 Results and discussion 11
1.5 Conclusion 15
1.6 References 15
Chapter 2 Uncertainty and Artificial Intelligence: Applications to Maintenance in Additive Manufacturing 19
Ghais KHARMANDA, Hicham BAAMMI and Abdelkhalak EL HAMI
2.1 Introduction 19
2.2 Integration of uncertainty 20
2.3 Uncertainty in artificial intelligence 21
2.4 Artificial intelligence in additive manufacturing 24
2.5 Predictive maintenance in additive manufacturing 27
2.6 Proposed strategy and applications 30
2.7 Conclusion 34
2.8 References 35
Chapter 3 Bio-Composite Structural Durability: Using Artificial Intelligence for Cluster Classification 39
Abel CHEROUAT
3.1 Introduction 40
3.2 The state of acoustic emission technology 43
3.3 The concept behind classification 54
3.4 Application to the classification of damage mechanisms in agro-composites 62
3.5 Artificial neural networks for classifying damage 76
3.6 Conclusion 89
3.7 References 90
Chapter 4 Intelligent Control for Attenuating Vertical Vibrations in Vehicles 97
Maroua HADDAR, Fakher CHAARI and Mohamed HADDAR
4.1 Introduction 97
4.2 Limits of passive and semi-active control strategies 99
4.3 Model-free control (MFC) 100
4.4 Application to the control of vertical vehicular vibrations 105
4.5 Conclusion 115
4.6 References 115
Chapter 5 Optimization of the Power Inductor of a DC/DC Converter 119
Abdelhamid AMAR, Bouchaïb RADI and Abdelkhalak EL HAMI
5.1 Introduction 119
5.2 Description of the power inductor 121
5.3 Thermomechanical modeling of the power inductor 121
5.4 Optimization methods 126
5.5 Optimization of the power inductor 131
5.6 Conclusion 134
5.7 References 135
Chapter 6 Study of the Influence of Noise and Speed on the Robustness of Independent Component Analysis in the Presence of Uncertainty 137
Dorra BEN HASSEN, Anoire BEN JDIDIA, Mohamed Slim ABBES, Fakher CHAARI and Mohamed HADDAR
6.1 Introduction 137
6.2 The model studied 139
6.3 Construction of the road surface profile 141
6.4 The principle of the ICA method 142
6.5 Monte Carlo technique 145
6.6 Results and discussion 145
6.7 Conclusion 154
6.8 References 154
Chapter 7 Multi-Objective Optimization Applied to a High Electron Mobility Transistor 157
Rabii EL MAANI, Abdelhamid AMAR, Bouchaïb RADI and Abdelkhalak EL HAMI
7.1 Introduction 157
7.2 Description of HEMT technology 159
7.3 Multi-physical modeling of the HEMT 160
7.4 The multi-objective optimization approach 165
7.5 Multi-objective optimization applied to HEMT technology 168
7.6 Conclusion 170
7.7 References 171
List of Authors 173
Index 175
