Artificial Intelligence in Material Science
CRC Press (Verlag)
978-1-032-59000-4 (ISBN)
Artificial intelligence (AI) in the form of machine learning and nature-inspired optimization algorithms are vastly used in material science. These techniques improve many quality metrics, such as reliability and ergonomics.
This book highlights the recent challenges in this field and helps readers to understand the subject and develop future works. It reviews the latest methods and applications of AI in material science. It covers a wide range of topics, including Material processing; Properties prediction; Conventional machining, such as turning, boring, grinding, and milling; non-conventional machining, such as electrical discharge machining, electrochemical machining, laser machining, plasma machining, ultrasonic machining, chemical machining, and water-jet machining; Machine tools, such as programming, design, and maintenance. AI techniques reviewed in the book include Machine learning, Fuzzy logic, Genetic algorithms, Particle swarm optimization, Cuckoo search, Grey wolf optimizer, and Ant colony optimization.
Mohamed Arezki Mellal is a Professor at the Department of Mechanical Engineering, Faculty of Technology, M’Hamed Bougara University, Boumerdes, Algeria. He was a Visiting Scholar at the Department of Mechanical Engineering, University of Maryland, USA and at some other universities. Prof. Mellal was ranked in the Top 2% of Scientists Worldwide by Stanford University (2022) and 1st by the 47th National University Commission for the Professorship in Mechanical Engineering in 2022. He was also involved in the international project “Algerian National Laboratory for Maintenance Education,” in conjunction with the European Union (Erasmus+). He has supervised numerous dissertations, published in various SCIE journals, and conference proceedings. Prof. Mellal has edited 9 books and published 13 book chapters. He was an Invited Keynote Speaker at various conferences, served as a Session Chair for the 2nd and 3rd International Conference on System Reliability and Safety, ICSRS 2017 and 2018, held in Milan (Italy) and Barcelona (Spain), respectively. He also chaired sessions at the 8th International Conference on Mechatronics, Electronics and Automation Engineering (ICMEAE 2021), Beijing, China, and 5th International Conference on Mathematical Techniques in Engineering Applications, Dehradun, India, 2021. Prof. Mellal was recognized as the Best Reviewer for the International Conference on Vision, Image and Signal Processing (ICVISP) in 2017 and 2018, held in Osaka (Japan) and Las Vegas (USA), respectively. He is an Associate Editor for the journal Frontiers in Mechanical Engineering (Topic: Mechatronics) – IF=2.3. He has served as a committee member for over 80 international conferences and acted as a Guest Editor for journal special sessions. He continues to serve as a regular reviewer for more than 30 SCIE-indexed journals. His research interests include the implementation of AI for solving engineering problems.
Preface. Artificial Intelligence Computational Intelligence and Opportunities. Urban Heat Island (UHI) Effect and its Mitigation Schemes in Built-up Areas with Artificial Intelligence Techniques. The Role of Artificial Intelligence in Advancing the Digitalization of Machining Processes. Evaluating Process Variability through the Implementation of Fuzzy Triangular Distribution in Dynamic Value Stream Mapping. Innovative Electrode Tool Manufacturing Methods for Electrode Discharge Machining. Implementation of AI in Manufacturing Industries: A Case Study. Constructional and Technological Approach to Improve the Mechanical Performance of Diesel Engines. Artificial Intelligence and Product Innovation: Expectations and Concerns. Artificial Intelligence and Game Theory in the Intensive Care Units. Application of AI in Material Science to Accelerate Material Innovation. Contributions of Machine Learning to Material Science: A Short Overview. The Use of Metaheuristics in Material Science: A Short Overview. Advances in Artificial Intelligence—Will Artificial Intelligence Support Transfusion Medicine Knowledge and Technology? Index.
| Erscheinungsdatum | 21.11.2024 |
|---|---|
| Zusatzinfo | 7 Illustrations, color; 62 Illustrations, black and white |
| Verlagsort | London |
| Sprache | englisch |
| Maße | 156 x 234 mm |
| Gewicht | 671 g |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Technik ► Maschinenbau | |
| ISBN-10 | 1-032-59000-9 / 1032590009 |
| ISBN-13 | 978-1-032-59000-4 / 9781032590004 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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