Textbook in PDF format

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.
Table of Contents
Preface
Artificial Intelligence Computational Intelligence and Opportunities - S. Kannadhasan, R. Nagarajan, Kanagaraj Venusamy and E. Chandru
Urban Heat Island (UHI) Effect and its Mitigation Schemes in Built-up Areas with Artificial Intelligence Techniques - Mohan Rawat, Shruti Vohra, Abhay Tambe, Archana Bhatt and Umesh Gupta
The Role of Artificial Intelligence in Advancing the Digitalization of Machining Processes - Panagiotis Stavropoulos, Thanassis Souflas and Christos Gerontas
Evaluating Process Variability through the Implementation of Fuzzy Triangular Distribution in Dynamic Value Stream Mapping - M. Thulasi, A.A. Faieza, Z. Leman and A.S. Azfanizam
Innovative Electrode Tool Manufacturing Methods for Electrode Discharge Machining - M. Sugavaneswaran, John Rajan A., Harsh Naresh Bhagywani, Vincent H. Wilson, Jose S. and Senthil Kumaran Selvaraj
Implementation of AI in Manufacturing Industries: A Case Study - J.P. Rishi, S.M. Darshan and N. Sudarshan
Constructional and Technological Approach to Improve the Mechanical Performance of Diesel Engines Vu Duong and Nguyen Ha Hiepvi Artificial Intelligence in Material Science: Advances
Artificial Intelligence and Product Innovation: Expectations and Concerns - Ali Tehci
Artificial Intelligence and Game Theory in the Intensive Care Units - Salvador Castillo-Rivera and Ana María Castillo-Rivera
Application of AI in Material Science to Accelerate Material Innovation - Dinesh Kumar Patel, Vipin Kumar Sharma, Hari Om Sharma and Pardeep Kumar
Contributions of Machine Learning to Material Science: A Short Overview - Mohamed Arezki Mellal
The Use of Metaheuristics in Material Science: A Short Overview - Mohamed Arezki Mellal
Advances in Artificial Intelligence—Will Artificial Intelligence Support Transfusion Medicine Knowledge and Technology? - Cees Th. Smit Sibinga
Index