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Full Description
This book provides a thorough overview of the fundamental principles, design strategies, fabrication techniques, characterization methods, and diverse applications of thin films and advancements therein. With a balance between theoretical concepts, practical applications and computational techniques, the book offers a holistic understanding of the subject matter, paving the way for students, researchers and engineers to guide through fabrication and characterization of thin films backed by real-world examples. Covers optimization of coatings tailored to specific applications, coupled with its industry-focused approach that incorporates real-world examples Discusses all about thin films, including a thorough examination of deposition and analysis methods Explores emerging topics related to the endurance of coatings, highlighting green technologies and life cycle assessment Reviews incorporation of machine learning and evolutionary algorithms for thin film optimization Delves into current innovations, recent models, and substantial research, with a focus on practical use cases This book is aimed at researchers and graduate students in materials science, characterization, and thin films.
Contents
Chapter 1: An Overview of Thin-Film Coating Technologies
Chapter 2: Advanced Deposition Techniques and Industrial Applications of Thin Films
Chapter 3: Advances in Synthesis, Mechanical Properties, and Corrosion Resistance of Metallic Glass Coatings
Chapter 4: Defects in Thin Films- Part I
Chapter 5: Defects in Thin Films- Part II
Chapter 6: Hydrophobicity and Hydrophilicity in thin films: Nature's inspiration to application
Chapter 7: Spray pyrolysis deposition of thin films-A comprehensive review
Chapter 8: Application of Smart Coatings in Aerospace and Oil and Gas Sectors
Chapter 9: Evaluation of the mechanical performance of TiN thin film Cr and CrN interlayer
Chapter 10: Structural and Physiomechanical evaluation of AlCr(Si)N thin films Coatings
Chapter 11: Anti-wear and bacterial adhesion properties of Si doped AlCrN thin films for biomedical application
Chapter 12: Multi-Scale Signal and Machine Learning-Driven Classification of Wear Regimes in Si-DLC/CFR-PEEK Tribosystems under Dry Sliding Conditions
