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Artificial Intelligence in Material Science : Advances - Mohamed Arezki Mellal

Artificial Intelligence in Material Science

Advances

By: Mohamed Arezki Mellal (Editor)

eText | 11 December 2024 | Edition Number 1

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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.

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You Can Find This eBook In

Non-FictionEngineering & TechnologyEnergy Technology & EngineeringElectrical EngineeringElectrician SkillsMathematicsApplied MathematicsIndustrial Chemistry & Manufacturing TechnologiesMechanical Engineering & MaterialsMechanical EngineeringComputing & I.T.Computer Science
Artificial IntelligenceMachine LearningOther Technologies & Applied SciencesApplied OpticsLaser Technology & HolographyScienceBiology, Life SciencesElectronics & Communications EngineeringElectronics EngineeringAutomatic Control EngineeringMaterials Science

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